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Square is changing the lending landscape for small businesses, and the implications are significant. Leveraging advanced machine learning and real-time data, Square has fashioned a cutting-edge approach to small business financing that promises to break down barriers many entrepreneurs face when seeking credit. For over a decade, Square has championed the cause of small businesses, providing them with essential capital that not only fuels their growth but also strengthens local economies. With small businesses being vital to community health, Square’s commitment to expanding access to credit is not just a business strategy; it’s a community investment. Traditionally, financial institutions have relied on static metrics and outdated documentation, often turning away businesses deemed “too risky” or “too small.” In contrast, Square’s innovative underwriting process draws from a comprehensive understanding of a business’s real-time financial activity. Using transaction data, revenue patterns, and other dynamic signals, Square can offer loans that empower rather than hinder. Since 2014, Square has issued over $32 billion in loans, averaging nearly $10,000 per loan, addressing significant gaps in access to capital. Notably, women-owned businesses receive 58% of Square Loans, while minority-owned businesses account for 36%. Additionally, more than half of these loans are directed to areas with low traditional loan approval rates. This commitment to inclusivity not only showcases Square’s progressive approach but also highlights the potential for such a model to create lasting impact. Square’s latest enhancements are designed to reach even more sellers. By refining their underwriting models, the company is now in a position to extend credit offers to over 50% more sellers previously ineligible for Square Loans. This includes newer businesses within their first week of processing, seasonal operations, and service providers with project-based income, reflecting the diverse realities many small businesses encounter. One key benefit of Square’s strategy is the more flexible repayment terms tailored to the unique cash flow cycles of small businesses. Instead of relying on a rigid repayment structure, Square allows sellers to pay back more in busy periods and less when business slows. This flexibility provides immediate relief for businesses facing cash flow hurdles, such as supply needs or utility costs, fostering resilience in challenging times. The early outcomes are already promising: nearly half of the sellers who accessed these new loans had never before received a Square Loan offer. Notably, 66% of offers went to businesses with fewer than $25,000 in annual gross payment volume (GPV), further substantiating Square’s mission to empower small players in the market. However, while these innovations present a wealth of opportunities, small business owners should consider some potential challenges. Applying for funding, even through a streamlined process, still requires thorough preparation and understanding of one’s own financial health. Businesses with volatile revenue streams or those in highly competitive industries may find securing loans challenging, even with the new underwriting model in place. Moreover, as Square expands its lending capabilities, it’s crucial for small business owners to maintain an awareness of their financial practices. Adequate record-keeping and an understanding of how cash flow works can be the difference between securing a loan and missing out. Fostering a good relationship with a financial advisor or engaging with Square’s resources might help navigate these waters effectively. In the evolving landscape of small business lending, Square stands out as a frontrunner in creating meaningful pathways to capital. Their use of technology to assess creditworthiness dynamically offers a lifeline to many who have traditionally struggled to access funding. As small businesses adapt to these changes, the promise of sustained growth and community prosperity becomes more tangible. For more detailed information, you can read the original press release here. Image via Google Gemini This article, "Square Expands Lending Access, Empowering More Small Businesses than Ever" was first published on Small Business Trends View the full article

Google is consolidating its advertising and measurement resources into a single destination, aiming to make it easier for developers and technical marketers to build, automate and scale campaigns. What’s happening. Google has introduced a new Advertising and Measurement Developers Hub, a centralized site designed to help users access tools, documentation and support across its ad ecosystem. The hub brings together resources for products like the Google Ads API, Google Analytics and publisher tools such as AdMob and Google Ad Manager, all organized into categories including advertising, tagging and measurement. How it works. The site offers a streamlined homepage with quick access to documentation, blog updates and community channels, along with dedicated sections to explore products, connect with support and engage with Google’s developer relations team. Why we care. Google is making it easier to access and implement advanced tools that power automation, tracking and campaign optimization. This can help teams work more efficiently, especially those relying on APIs, tagging and data integrations. As advertising becomes more technical and AI-driven, having a centralized hub lowers the barrier to building more sophisticated, scalable setups. The big picture. As advertising becomes more automated and API-driven, Google is investing in infrastructure that supports developers and technical users who manage complex integrations across platforms. Zoom in. New features include a “meet the team” section, a centralized support page linking to Discord and GitHub resources, and a media hub featuring content like Ads DevCast. What to watch. Whether this hub becomes the primary entry point for developers working across Google’s ad products — and how it evolves with new AI and measurement tools. Bottom line. Google is simplifying access to its ad tech ecosystem, betting that better developer support will drive more innovation and adoption. Dig deeper. Introducing the Google Advertising and Measurement Developers Hub! View the full article

Most agencies present prospective clients with an account audit as part of their sales process. The purpose is twofold: To provide immediate value (usually without strings attached). To demonstrate that they know their stuff. But how often do brand marketers turn the tables and audit their agencies in their RFP? I’m the head of performance marketing at a marketing agency, so I’m clearly writing from a biased perspective. However, over my decade-plus in the industry, I’ve seen too many brands settle for “good enough” because they didn’t know which questions would reveal the cracks in a potential partner’s strategy and approach. If I were a brand looking for a true growth partner, here are the specific questions I’d ask to separate the top performers from the rest. 1. What are your key services, and what percentage of your clients utilize each? A lot of agencies claim to be “full service,” but rarely are they “full excellence.” I’d be looking for where an agency truly spends its time versus where they’re just trying to upsell me. It’s less about the channels in question (although if, say, LinkedIn is a key growth driver for your brand, they’d better demonstrate proficiency there), and more about how their strengths align with your needs. If an agency claims to be experts in SEO, creative strategy, and paid media, but 90% of their client base only uses them for paid search, that’s a red flag. You want a partner whose core competencies align with your primary needs. If you need high-volume creative testing, you want an agency where 80%+ of clients use its creative production frameworks, not one that treats creative as an add-on service. Dig deeper: Confessions of a PPC-only agency: Why we finally embraced SEO Your customers search everywhere. Make sure your brand shows up. The SEO toolkit you know, plus the AI visibility data you need. Start Free Trial Get started with 2. How are you approaching AI-driven account optimization and platform automation? I miss the days when knowledge of the manual controls at your disposal could set you apart as a high-performing marketer. But those days have been gone for a while. In 2026, there’s a real danger of over-optimization with the controls we have left. This can reset algorithmic learnings and prevent them from fine-tuning in service of your goals. Agency teams that strike this balance most certainly have a healthier approach than those who either blindly trust algorithms or can’t help tinkering excessively. One control you can and must be diligent about using is first-party data for enhanced conversions and offline conversion tracking. Part of the job of a great marketer is training the algorithms on which leads and which conversions to target, and first-party data is a huge lever to pull in that regard. 3. What is your reporting process and what KPIs do you focus on for the majority of your clients? Don’t just ask for a sample report. Anyone can make a PDF look pretty. You need to understand their philosophy on data. You’re looking for an agency that’s willing to move upstream. If the majority of their clients are measuring success on clicks, traffic, or even MQLs, run the other way. A performance-driven agency should be obsessed with revenue, ROAS, and pipeline velocity. Ask them how they handle attribution. If they rely solely on in-platform metrics, which often over-claim credit, they aren’t looking at the full picture. Dig deeper: What successful brand-agency partnerships look like in 2026 Get the newsletter search marketers rely on. See terms. 4. What’s the average industry tenure of the team on my account? This is actually a pretty common question and has been for years. Too many marketers know the pain of integrating rotating sets of agency teams because the agency can’t hold onto top employees, and you should be evaluating the answer from this perspective. There’s another factor to consider. Generally speaking, the more experienced a marketing team is, the more effectively it uses AI tools. Whereas junior marketers might be more avid proponents of AI and quicker to adopt its functionality, they’re also far more likely to use it for things like creative ideation and strategy. Both are areas where high-quality human thought is a true differentiator. For this answer specifically, remember that you have some great research tools like Glassdoor that you can and should access. Employee tenure is one thing, but a Glassdoor profile with a bunch of red flags is an indicator that the agency might struggle to keep the talent it really wants to retain. 5. How is your team using AI on client accounts? Again, you’re looking for a balance here. Agency teams that don’t use AI at all are almost certainly burning resources on manual tasks, but agency teams that overuse it to replace perspective, critical thinking, and creativity are commoditizing their own client service. Two follow-up questions to ask: What is your governance structure for AI use? What’s your process for QAing AI output? You’re looking for firm answers and redundant layers for each of these questions — at the very least, someone relatively senior should approve any output before it goes live. Dig deeper: Why PPC teams are becoming data teams 6. When you take over an account, what are the first things you do to save budget without affecting growth? This is the ultimate litmus test for technical proficiency. A great performance marketer knows where the ad platforms hide the waste buttons. If I were a brand marketer, I’d want to hear about: Any harmful default settings that need to be turned off. What inputs are driving wasted spend (audiences, networks, keywords, etc.). A plan to prioritize budget around what’s driving business outcomes. If an agency can’t rattle off these specific checks, they’re likely missing the “low-hanging fruit” of budget efficiency. Fixing some of these takes seconds, but missing them costs thousands. What separates a true growth partner from the rest Remember: when you’re choosing an agency partner, it’s the job of each agency to sound as good as they possibly can, but what an agency considers to be a great answer might not be a great fit for your brand. By focusing on utilization rates of services, strategic application of AI, and approaches to budget efficiency, you’ll find a partner capable of driving actual performance, not just spending your budget. Dig deeper: How to find your next PPC agency: 12 top tips View the full article

Content warning for upsetting discussion of sexual abuse of children. A reader writes: I spent most of my 20s managing a business, eventually becoming more or less second-in-command. The owner was an older guy in his 60s. He was a bit of a grumpy guy and more conservative than me in many ways, but we overall got along very well. I found that he was generally a fair guy, and we bonded over a few shared interests. I wouldn’t call him a “friend,” but we had a good relationship. He sold his business in 2020 (he was planning to retire that year anyway and the pandemic moved up the timeline a few months). He and I stayed in loose texting contact until I stopped hearing from him. A few months ago, an old employee of mine reached out to me with some horrifying news: In 2023, our boss was sentenced to 20 years in federal prison for receipt of child pornography. According to court filings, he had over 84,000 images of child sexual abuse material in his possession, which he amassed after trading images on Russian sites. Many of these images were violent and gruesome in ways that are too horrifying to recount, though he denies looking at the more horrific ones. He started amassing this collection not too long after he retired and moved in 2021. He was arrested later that year and eventually made a plea deal. He’ll be in prison until he’s in his 90s. His defense team admitted that he has a “criminal interest” in boys between the ages of 11-14ish. This part horrified me, because many of our employees started out as high schoolers. Based on his testimony and my own experiences with him, I’m inclined to believe no human being who ever encountered him was ever in danger and he wasn’t even consciously aware of his attractions until he fell down this awful rabbit hole in his retirement. But I’ll never know, and I don’t know if he will either. Even though he’s not accused of child abuse himself, the court did acknowledge that his interest in these images keeps the child sex abuse going, something even he agreed with during sentencing. In the process of this, he got divorced, spent all his capital on a legal defense, lost all of his friends, and will very likely die in federal custody. Despite the fact that he took part in a horrific trade, and that he had that criminal interest at all, I can’t help but feel sorry for him. It’s easy to see a story like this on the news, think “lock him up and throw away the key,” and move on. It’s harder when it’s someone you know. It’s all his own fault, but it’s sad knowing how he was saving up for retirement and built a business worth selling, only to lose everything. It’s sad knowing that his friends and most of his family have largely abandoned him. It’s sad knowing that if he’s lucky enough to survive prison, he’ll be in his 90s and flat broke. With that, I come to my ask: should I reach out to him? I’m conflicted on this. Part of me thinks he’d be embarrassed if I reached out, because only one of our coworkers was reached out to about this so I don’t think he knows I’d know. But part of me thinks about how a guy who did something horrible could probably use a little connection to the outside world, because he’s almost certainly lonely beyond belief. There’s also the fact that sexual interest in children is sometimes the result of abuse, which – and I don’t want to speculate more than this – means he might have been a victim himself. I’m not asking for judgment on whether he’s a good or a bad person, because he undeniably did a bad thing. But people who do bad things, even horrific things, don’t necessarily deserve to lose all contact with humanity. I have no tolerance for people who produce those images, but I think that a lot of the people who trade and watch them are more sick than dangerous, if that makes any sense. Should I let him live in ignorance of me knowing that I know, or should I reach out and try to form a human connection and alleviate some of that loneliness – without, obviously, excusing what he did? This is not really a work question; this is a question about being a human around other humans, some of whom hurt others, and how we deal with people who have committed some of the worst harms against others. I can’t tell you what you should do. I am going to point out that there’s a lot of minimizing language in your letter about a man who found sexual gratification by watching children being abused, thousands of them, perhaps violently, and who actively helped to create a market for that abuse. Is he still a human who could use a connection to the outside world? Yes. Might he have been a victim himself? Maybe. Did he repeatedly choose to do something that causes severe and lasting harm to kids? Yes. There are people who feel called to work with people who have committed some of the worst crimes possible, to find their humanity and connect with it. Maybe you’re one of them. But I would get really clear in your head about what’s motivating you and whether you could explain it to someone who’s been a victim of this type of abuse and still come away feeling confident in your stance. If you can, there’s your answer. And if you can’t, I think that’s an answer too. The post should I contact my old boss, who’s in prison for a terrible crime? appeared first on Ask a Manager. View the full article

Google is laying the groundwork for “agentic commerce,” where users can complete purchases directly inside AI-driven search experiences. What’s happening. Google has published a new onboarding guide for its Universal Commerce Protocol (UCP) in Merchant Center, outlining how merchants can integrate with the system and enable checkout directly from product listings in AI Mode and Gemini. The big picture. As AI search evolves from discovery to transaction, Google is pushing to keep users within its ecosystem by embedding shopping and checkout into conversational experiences. How it works. Merchants must first complete a technical integration, then submit an interest form and wait for approval before gaining access to onboarding tools in Google Merchant Center, including a sandbox environment to test integration, identity linking and checkout APIs. Why we care. Google is moving search closer to transaction, meaning users may complete purchases directly inside AI experiences instead of visiting your website. This shifts where conversions happen and could change how performance is measured, attributed and optimized. Early adopters of the Universal Commerce Protocol may gain a competitive advantage as shopping becomes more integrated into tools like Gemini. Zoom in. The protocol acts as an open standard for connecting product data, user identity and payment flows, enabling seamless purchases without redirecting users to external sites. What to watch: The rollout is gradual and currently limited to the U.S., with a dedicated UCP integration tab expected to appear in Merchant Center accounts over the coming months. Bottom line. If widely adopted, the Universal Commerce Protocol could redefine how online shopping works — turning search into a full-funnel, AI-powered checkout experience. Dig deeper. How to onboard to the Universal Commerce Protocol in Merchant Center View the full article

Roughly a third of homeowners with a mortgage rate less than 6% would not give up their rate for any reason, according to a survey of 1,000 mortgage holders. View the full article

Idea for pause in fighting originated from Donald The President’s team even as he escalated threats against IranView the full article

Meta Platforms is making it easier for advertisers to implement tracking, reducing technical friction for teams running campaigns across platforms. What’s happening. Meta released an official Pixel template inside Google Tag Manager, replacing the need for third-party or community-built workarounds. How it works. The new template allows advertisers to reuse their existing GA4 dataLayer, meaning events already configured for Google Analytics 4 can be leveraged without rebuilding tracking from scratch. It also automatically maps enhanced e-commerce events such as purchases, add-to-cart actions, content views and checkout initiations, eliminating the need for duplicate tagging. Why we care. This reduces implementation time, lowers the risk of tracking errors and ensures consistency across platforms, especially for advertisers managing both Google and Meta campaigns. What to watch. Whether this leads to broader adoption of Meta Pixel tracking among advertisers who previously avoided complex setups, and if similar cross-platform integrations follow. Bottom line. Meta is removing one of the biggest headaches in ad tracking — making it faster and easier to get reliable data across platforms. First seen. This update was spotted by Paid Media expert Thomas Eccel who shared spotting the update on LinkedIn. View the full article

A Iran ceasefire sparked a $20 oil drop and Treasury rally, narrowing the rate-cut window from 18 to 15 months, but key technical resistance levels and a potentially ugly Friday CPI report could still reshape the outlook, according to the head of correspondent business development at AD Mortgage. View the full article

For all the advances in data science, artificial intelligence, and behavioral assessments, one hiring ritual remains stubbornly unchanged: the job interview, where candidates are still subjected to awkward brainteasers about golf balls in airplanes, forced to disclose their “biggest weaknesses” to amateur psychologists, asked whether they would keep working after winning the lottery, or made to present to silent panels who seem less interested in evidence of competence than in observing how gracefully applicants endure a mildly humiliating social experiment. Despite decades of research showing that traditional interviews are only moderately reliable predictors of performance, organizations continue to rely on them heavily. In fact, the typical interview still resembles what it looked like decades ago: a loosely structured conversation in which hiring managers form impressions based on intuition, chemistry, and gut feeling. From a scientific standpoint, this is not ideal. Unstructured interviews are vulnerable to a long list of well-documented biases. Interviewers may favor candidates who resemble themselves (“similarity bias”), appear confident or attractive (“halo effects”), or simply fit the cultural stereotype of what a successful employee looks like (“culture fit”). First impressions loom large, even when they are based on thin evidence. Charisma often outperforms competence. And yet, interviews persist. Why? Because hiring managers, like most humans, remain convinced they can “spot talent” when they see it. In other words, the interview is unlikely to disappear anytime soon. The end game Fortunately for candidates, this irrationality does not mean human behavior is unpredictable. As behavioral economist Dan Ariely famously put it, people are “predictably irrational.” That predictability matters, and you can use it to your advantage. Even if interviews are imperfect, there is a growing body of research on how interviewers evaluate candidates and what signals tend to shape their judgments. Understanding those signals does not mean manipulating the system. It simply means avoiding the common mistakes that cause many candidates to underperform, or ensuring that you come across as well as you can. One of the most overlooked opportunities occurs at the very end of the interview, when the interviewer – at times without a proper underlying plan or deliberate strategy – asks a deceivingly simple question: “Do you have any questions for us?” Many candidates treat this moment as a formality. Some (usually the unprepared ones) say “not really.” Others improvise a question on the spot, which rarely has a significant positive impact. Indeed, both approaches are somewhat risky and could result in decreasing candidates’ ratings even after an overall good performance. Studies on interview dynamics suggest that most employers expect candidates to ask questions, and they interpret this behavior as a signal of preparation, motivation, and interest. When candidates decline to ask anything, interviewers often interpret it as a sign of disengagement or lack of curiosity or preparation. At the same time, asking the wrong question (or too many of them) will likely backfire. The difference between leaving a strong impression and undermining one often comes down to a few subtle signals. Five rules With that, here are five basic rules to inform your interview question strategy: First rule: Avoid questions that make the conversation about you A bad type of questions candidates often ask at the end of interviews are typically self-centered, focused on maximizing personal value at the expense of the organization or employer, and, above all, signal a total lack of social skills (lack of awareness of, or interested in acknowledging, the basic etiquette or rules of interaction governing any professional setting). Examples (from most to least acceptable) may include: “What is your working from home policy?” “What would my vacation time be?” “How soon could I be promoted?” “What are the working hours like?” “How quickly could I get a raise?” “If I get bored after a few months, would the company help me find a more interesting role somewhere else?” “Is it acceptable if I continue applying for other jobs while working here, just to keep my options open?” “How flexible are you if I decide I’m not really a morning person?” “Would it be a problem if I occasionally skipped meetings that seem unnecessary to me?” “How soon before I could start delegating most of my work to other people?” To be sure, these may be legitimate concerns. But raising them too early signals that your primary focus is personal gain rather than contribution. It is also a good illustration of a broader point I made in Don’t Be Yourself, authenticity is often overrated as a career strategy. Saying exactly what you think, when you think it, regardless of what others may think, may feel courageous and honest to you, but in professional settings it can simply reveal poor judgment and be a suicidal career move. Successful people don’t just express themselves; they also know when to edit themselves and how to say things to maximize positive effects and minimize negative effects, which requires quite a bit of strategy. A more effective strategy is to instead ask questions that focus on the organization, the team, or the work itself. This signals interest in the role and demonstrates that you are thinking about the broader context. Second rule: Demonstrate preparation One of the easiest ways to impress an interviewer is to show that you have done your homework. Instead of asking generic questions like … “What does the company do?” “What are your priorities?” “How has the role evolved over the past few years” “What would success look like in the first 12 months?” … try referencing recent public information, which signals engagement. For example: “I saw that the company recently expanded into the European market. How does this role contribute to that strategy?” “I noticed the company has been investing heavily in AI and data capabilities. How is that changing the way this team operates day to day?” “I saw your CEO recently emphasized sustainability as a strategic priority. How does that translate into concrete initiatives for this role or department?” Or: “I read about the recent partnership your firm announced. What challenges does that create for the team?” Questions like these demonstrate that you are informed, engaged, and attentive. Third rule: Use questions to signal the traits employers value Smart candidates use the final questions not just to gather information but to highlight desirable traits indirectly. Consider the following examples. To signal curiosity and learning orientation: “What are the most important things someone in this role needs to learn during the first six months?” To signal teamwork and emotional intelligence: “Which teams or stakeholders does this role interact with most closely?” To signal ambition and drive: “What does success look like in this role after the first year?” To signal self-awareness and self-criticism: “What distinguishes people who really thrive here from those who struggle?” To signal adaptability and resilience: “What challenges tend to surprise people when they first take on this role?” Each of these questions subtly communicates something about the candidate asking it. Fourth rule: Listen carefully to the answer Asking the right question is only half the equation. What happens next matters just as much. Strong candidates treat the answer as an opportunity for dialogue rather than simply nodding politely. For example, if the interviewer describes the challenges of the role, you might respond: “That’s interesting. Could you say a bit more about what has made that particularly difficult for the team so far?” “That’s useful context. From what you’ve seen, what distinguishes the people who end up thriving in this role from those who struggle?” “That’s helpful to know. In my previous role we faced something similar when we expanded our client base, and one thing that helped was…” This approach allows you to reinforce your experience without sounding rehearsed. More importantly, it shows that you are paying attention and treating the occasion as an opportunity for smart dialogue and interaction, making the most of it. Similarly, if the interviewer describes a key success factor, you might respond: “That’s interesting; building cross-team relationships was actually a big part of my last project.” “That resonates with me; in my previous role we found that clear communication across functions made a huge difference in delivering results.” “That’s helpful context; in my last position we faced a similar priority, and one of the things that worked well was…” In short, the goal is not to prolong the interview unnecessarily, but rather to connect your experience to what the interviewer values, and showcase your ability to react, improvise, and share relevant experiences on the fly. Fifth rule: Don’t overdo it Candidates who ask no questions risk appearing uninterested. But candidates who ask too many questions risk appearing unfocused or overly demanding. A good rule of thumb is to ask one or two thoughtful questions. Remember that interviewers are usually busy. Turning the last five minutes of the interview into a 15-minute interrogation is unlikely to win you many points. Curiosity is good; monopolizing the conversation is not, and could make you come across as a self-centered narcissist or someone with zero self-awareness if you fail to get the signals that is timed to shut up. Equally important is the tone. Questions should feel prepared but not scripted. If they sound rehearsed, they may come across as performative. If they are entirely improvised, they may reveal a lack of preparation. The goal is to appear thoughtful, engaged, and authentic, which requires you to pay a great deal of attention to how interviewers evaluate you. The worst possible response? Of course, there is one response that consistently creates a poor impression: “No, I think you’ve covered everything.” This answer suggests either a lack of curiosity or a lack of preparation. Neither interpretation works in your favor. The real purpose of the question? In theory, the opportunity to ask questions at the end of an interview exists to help candidates evaluate whether the role suits them. In practice, it often functions as another evaluation moment. Interviewers are not just listening to what you ask. They are asking themselves what your question reveals about you: your curiosity, your priorities, your preparation, and your interpersonal skills. In that sense, the final question is less about information gathering and more about signaling. The irony is that while the science of hiring has advanced enormously (from predictive analytics to AI-assisted assessments) the human interview remains stubbornly subjective. But once you accept that reality, the strategy becomes clear. You cannot eliminate the biases embedded in interviews. But you can learn to navigate them. And sometimes, the difference between a forgettable interview and a memorable one comes down to something as simple as asking the right question at the very end. 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Ask most ecommerce brands who owns their product feed, and the answer is almost always the same: the paid media team. Maybe a feed management tool sits under PPC. Maybe the shopping team built the feed years ago, and nobody’s touched the titles since. Either way, SEO rarely has a seat at the table, and it’s often forgotten as part of the broader feed management strategy. Whether you’re worried about AI search or traditional clicks, you’re missing out on opportunities by excluding SEO from your feed management strategy. AI shopping results are grounded in Google Shopping data Up to 83% of ChatGPT carousel products match Google Shopping’s organic results, according to a recent Peec AI study analyzing more than 43,000 listings. And 60% of those matches came from Shopping positions 1-10. Data shows how ChatGPT’s product carousel matches Google Shopping’s organic results, with Google dominating over Bing. On Google’s side, the Shopping Graph now contains more than 50 billion product listings and feeds directly into AI Overviews, AI Mode, and Gemini. AI Overviews appear in roughly 14% of shopping queries, up from about 2% in late 2024. Like many other things we’ve discovered about AI search, the generative results are informed by traditional SERP. SEO needs to be the strategic quarterback for brand authority. This is a highly valuable opportunity to work cross-channel toward a common goal of improving visibility across search surfaces. It really requires SEOs, commerce, and paid media teams to get in the same room. Your customers search everywhere. Make sure your brand shows up. The SEO toolkit you know, plus the AI visibility data you need. Start Free Trial Get started with The case for a dedicated organic feed Typically, brands run a single product feed optimized for Google paid shopping campaigns. Titles are written for bid relevance, descriptions are built for Quality Score, and the feed exists to win auctions, with less consideration for user search behaviors. As user behavior shifts, search surfaces favor stronger semantic alignment between queries and product data. A title stuffed with paid-friendly modifiers or branded terms isn’t the same as a title that mirrors how someone conversationally searches for a product. We tested this with a large ecommerce brand. Our agency’s AI SEO team partnered with the commerce team to launch a dedicated product feed for free organic listings, with titles and descriptions optimized specifically for organic visibility, rather than replicating what was already running in the paid feed. After the organic feed was pushed live: Organic listing CTR increased 10% month over month, alongside a 4% lift in purchasing rate. A product-level test saw a 92% increase in revenue for free listings, with visibility up 83%, and add-to-cart up 14%. The organic optimization changes alone drove 35,000 impressions at a 1.4% CTR, 55% higher than the CTR seen in paid for the same time period. Rather than replacing our paid feed strategy, we recognized that organic and paid shopping solve different problems and have different needs that require optimizing accordingly. Organic feed titles should reflect how your customers actually search, not how your bidding strategy is structured. Dig deeper: How AI-driven shopping discovery changes product page optimization Get the newsletter search marketers rely on. See terms. What to prioritize in an organic feed strategy Not every feed attribute carries equal weight. If you’re building a dedicated organic feed or just auditing your existing feed for gaps, here’s where you could start. Titles are the highest-impact lever Google’s algorithm heavily favors feed titles when matching products to queries, and its own documentation emphasizes including important attributes to “better match search queries and drive performance lift.” Consider how a customer might describe what they’re looking for in a conversational way, and how that aligns with product attributes. Google’s Merchant Center documentation reinforces the point that your feed strategy should map to how your customer actually shops to help improve their search journey Global Trade Item Numbers (GTINs) are non-negotiable Google’s GTIN documentation makes clear that products with correct GTINs receive significantly more visibility. Industry data has consistently shown that properly matched products can drive up to 40% more clicks. They’re also the primary signal for aggregating product reviews across sources. Don’t overlook images They’re still the most common source of Merchant Center disapprovals. Products with both standard and lifestyle images typically see significantly higher engagement. If budget or bandwidth has kept better product images on the back burner, Google’s Product Studio can help handle some of the editing, so you can test and improve creative at scale without a full reshoot. It’s also a way for SEO and creative teams to collaborate on feed-specific assets and testing. Optimize key product attributes: product_highlight and product_detail product_highlight lets you add scannable benefit statements that appear in expanded Shopping views. For instance, “water-resistant for light rain commutes” is doing more work than “high-quality material” for both the shopper and the AI. product_detail provides structured specifications that power Google’s faceted filters in organic product grids. The same semantic work SEOs are doing to optimize product detail pages (PDPs) for conversational search — like defining ideal buyers, naming use cases, and articulating compatibility — should inform feed attributes. Product and content teams already understand what drives someone to buy. That context should be in the feed, not just on a brand’s PDPs. Dig deeper: How to make ecommerce product pages work in an AI-first world Your feed is also your agentic commerce foundation Here’s what makes this investment compound: the feed optimization work done today for organic shopping visibility will also help build brand readiness for agentic commerce standards and applications. Google’s Universal Commerce Protocol, announced in January, is a framework that enables AI agents to discover products, build carts, and complete transactions directly inside AI Mode and Gemini. The shopper may never land on the brand website to make a purchase. UCP isn’t a replacement for Google Merchant Center, because it’s built directly on top of GMC data. Feeds are how products enter the Shopping Graph. The Shopping Graph is the dataset AI agents query when processing a shopping request. The new native_commerce attribute added to feeds is what signals that a product is eligible for the UCP-powered “Buy” button in traditional and AI-driven Google services. Google has also announced the eventual rollout of several new Merchant Center attributes designed specifically for conversational commerce: Product FAQs. Use cases. Compatible accessories. Product substitutes. These are additions to an existing GMC feed that give AI agents the contextual understanding they need to match products to natural-language queries like “what’s a good waterproof jacket for bike commuting?” These new conversational attributes are rolling out to a small group of retailers first. This is where feed data and on-page content need to stay tightly aligned. Search surfaces cross-reference a brand’s feed against: Structured data. PDP content. Other sources to validate findings. When those layers contradict each other, trust erodes at the domain level. Dig deeper: 7 organic content investments that drive ecommerce ROI Building a cross-channel strategy for AI search Product feed strategy and optimization is an opportunity for genuine cross-team collaboration to test, execute, and measure visibility. A holistic approach to managing product details across every surface will benefit brands in both traditional and AI-driven search. SEOs bring the keyword intelligence, semantic understanding, and knowledge of how AI systems match queries to content. Commerce and marketplace teams own the product data, product information management, and relationships with retailers. Paid teams have the feed infrastructure, the tools, and years of experience managing feed health at scale. These teams must work together to coordinate their insights and effectively establish an AI SEO operating system. The product feed sits at that intersection as it’s an owned asset managed by commerce infrastructure that directly feeds AI-powered visibility. The first step is to pull a current feed and compare organic titles to paid titles. The second step is getting the right people in the room to build something better. SEO is most successful when more channels align toward the same goal: better brand visibility. View the full article

Google Keyword Planner is a free tool. Here’s how to use it to find terms for content and ad campaigns. View the full article

Greece is moving forward with a ban on under-15s using social media, becoming the latest country to restrict young teens from using the online platforms. On Wednesday, April 8, Greece Prime Minister Kyriakos Mitsotakis announced plans to restrict social media use by age starting on January 1, 2027, Reuters reports. In a video announcement directed to Greece’s young people, the prime minister cited concerns such as problems sleeping, increasing anxiety, and social media platforms’ addictive designs. In the video, Mitsotakis also pointed to factors such as children not allowing their minds to rest, feeling constant comparisons, and spending long hours scrolling through their phones. Mitsotakis followed the announcement with a letter to European Commission President Ursula von der Leyen, Greek news organization OEMA reports. In the letter, the prime minister detailed Greece’s plans and pushed for a “unified European framework” on the issue by the end of the year. Mitsotakis proposes a standard age-verification system, repeated verification every six months, and a European “digital age of majority” of 15-years-old—or the minimum age to use social media. Which countries have age-centric social media bans in place? Greece joins 10 countries around the world that have already taken steps to restrict young people from using social media, while more are considering such moves. Such widespread moves would’ve been unthinkable until recently, with companies such as Meta Platforms, which owns Instagram and Facebook, focusing on parental control. On December 10, 2025, Australia became the first country to outright ban social media for a certain age group—completely restricting it for people under 16. The European Union (EU) has also taken steps to ban social media use for under-16s, requiring parental consent for young people aged 13 to 15. In November, Members of the European Parliament (MEPs) voted 483 to 92 in favor of a non-legislative report calling for the age restriction. EU members such as France, Italy, and Australia have already taken separate steps to restrict social media use by age. Elsewhere, countries such as the United Kingdom, New Zealand, and Thailand have also taken steps toward banning social media for young people. View the full article

The March 2026 core update finished rolling out today after 12 days and 4 hours, completing Google’s first broad ranking update of the year. What happened. Google confirmed the rollout ended at 06:12 PDT, per its Search Status Dashboard. The update began March 27 and impacted search rankings globally. Google previously said this was “a regular update designed to better surface relevant, satisfying content for searchers from all types of sites.” The timeline. Google originally estimated the March 2026 core update would take up to two weeks to complete. Started: March 27. Completed: April 8. Total rollout: 12 days, 4 hours The context. This was the first core update of 2026. It followed the March 2026 spam update and the February 2026 Discover update. Core updates introduce broad changes to ranking systems and typically drive noticeable volatility across search results. What to do if you were impacted. Google didn’t issue any new guidance for the March 2026 core update. Its standing advice remains: Ranking drops don’t necessarily mean something is wrong. Recovery often comes with future updates, not immediate fixes. Focus on helpful, reliable, people-first content. Google continues to point site owners to its core update and helpful content guidance. Why we care. Now that the rollout is complete, you can assess impact with more confidence. Analyze ranking and traffic changes, identify winners and losers, and adjust your content strategy based on what the update appears to reward. Previous core updates. Here’s a timeline and our coverage of recent core updates: The December 2025 core update was on Dec. 12 and ended on Dec. 29. The June 2025 core update was on June 30 and ended on July 17. The March 2025 core update was on Mar. 13 and ended on Mar. 27. The December 2024 core update was on Dec. 12 and ended on Dec. 18. The November 2024 core update was on Nov. 11 and ended on Dec. 5. The August 2024 core update was on Aug. 15 and ended on Sept. 3. The March 2024 core update was on March 5 and ended on April 19. View the full article

Google's March core update finished rolling out. Here's what to know about the rollout and when to check your data. The post Google Confirms March 2026 Core Update Is Complete appeared first on Search Engine Journal. View the full article

Wall Street surged in Wednesday premarket trading as oil prices plunged 16% after the U.S. and Iran agreed to a two-week ceasefire that includes the reopening of the Strait of Hormuz. Futures for the S&P 500 jumped 2.7% before the opening bell and futures for the Dow Jones Industrial Average climbed 2.6%. Nasdaq futures soared 3.4%. Benchmark U.S. crude sank $18.43 to $94.52 a barrel, a nearly 16% decline. Brent crude, the international standard dropped $15.54 to $93.73 a barrel. Natural gas futures declined close to 5%. The drops reversed some of the rise in oil prices since the start of the war more than five weeks ago that had effectively blocked passage through the strait that’s a crucial route for global supplies. “Yet the mood remains one of cautious optimism rather than outright celebration,” said Tim Waterer, chief market analyst at KCM Trade. “The ceasefire is only two weeks long, and markets will be watching closely to see whether shipping through the Strait of Hormuz normalizes as promised and whether the fragile truce can pave the way for a more durable peace agreement.” Late Tuesday, The President said he was holding off on his threatened attacks on Iranian bridges, power plants and other civilian targets. Iran’s foreign minister said passage through the strait would be allowed for the next two weeks under Iranian military management. But analysts warned against too much optimism. “There is a reason to be optimistic, but it is still too early to tell, because, as you know, after all, it is The President,” said Takashi Hiroki, chief strategist at MONEX. In equities trading, major U.S. airline stocks soared on the steep drop in oil prices. Delta and United jump more than 12% in premarket while American rose 10%. Delta on Wednesday also reported first-quarter sales and profit that came in ahead of Wall Street forecasts and said that demand remained strong with the summer travel season just a few months away. Elsewhere, in Europe France’s CAC 40 added 4.5% by midday, while the German DAX soared nearly 5%. Britain’s FTSE 100 gained 2.9%. In Asia, Japan’s benchmark Nikkei 225 gained 5.4% to finish at 56,308.42. Australia’s S&P/ASX 200 jumped 2.6% to 8,951.80. South Korea’s Kospi soared 6.9% to 5,872.34. Hong Kong’s Hang Seng surged 3.1% to 25,893.02, while the Shanghai Composite added 2.7% to 3,995.00. In currency trading, the U.S. dollar fell to 158.39 Japanese yen from 159.52 yen Wednesday. The euro cost $1.1701, up from $1.1597. The dollar usually becomes a safe haven during geopolitical uncertainty, so the ceasefire deal worked to lessen that appeal. Associated Press videographer Mayuko Ono and Writer Jon Gambrell contributed to this report. Yuri Kageyama is on Threads: https://www.threads.com/@yurikageyama —Yuri Kageyama and Matt Ott, AP Business Writers View the full article

Customer Service Management (CSM) is a systematic approach to overseeing customer interactions and experiences. It’s vital for enhancing customer satisfaction and loyalty, which directly influences a company’s success. By integrating various communication channels and providing teams with the necessary tools and training, organizations can better meet evolving customer expectations. Comprehending the key components of this process is fundamental, as it not only improves retention rates but additionally boosts brand reputation. What are the specific strategies that can enhance your CSM efforts? Key Takeaways Customer Service Management (CSM) oversees customer interactions to enhance satisfaction, loyalty, and overall experience across various communication channels. Effective CSM can boost customer retention rates by 10-15%, significantly impacting long-term business success. Key components include inquiry handling, omnichannel support, and structured processes for timely issue resolution. Implementing technology and analytics in CSM improves operational efficiency and enables proactive customer service strategies. Measuring success through metrics like CSAT and FCR helps organizations assess performance and continuously improve their CSM practices. Understanding Customer Service Management Comprehending Customer Service Management (CSM) is vital for any organization aiming to nurture strong customer relationships. The customer service management meaning revolves around overseeing customer interactions to improve satisfaction and loyalty. This process involves integrating various communication channels to guarantee a seamless experience for customers, which ultimately enhances overall service delivery. By empowering teams with the right tools and training, CSM helps meet evolving customer expectations while aligning with organizational goals across departments. Nevertheless, a significant 62% of customer experience leaders believe they’re falling short in providing instant responses, highlighting the need for robust CSM strategies. Additionally, actively seeking and analyzing customer feedback is a core aspect of the customer service management process, informing continuous improvement efforts. This feedback is critical for maintaining a competitive edge in the market, guaranteeing that your organization remains responsive to customer needs. The Importance of Customer Service Management The significance of Customer Service Management (CSM) cannot be overstated, as it plays a vital role in shaping customer experiences and nurturing loyalty. Effective CSM directly influences customer satisfaction and retention, with studies showing a potential 10-15% increase in retention rates when customer experience improves. Furthermore, a strong CSM process improves brand reputation, making 81% of consumers more likely to recommend a brand after a positive service encounter. In addition, organizations with efficient CSM practices can reduce service costs by up to 25%, optimizing operations through automation. Trust is also fundamental; 61% of customers consider trustworthiness important when interacting with companies using AI. By regularly collecting and acting on feedback, CSM strategies can lead to a 20% rise in customer satisfaction scores. Benefit Statistic Impact on Business Increase in Retention 10-15% Higher customer loyalty Brand Recommendation 81% Improved brand reputation Cost Reduction Up to 25% Lower operational expenses Customer Trust 61% consider trust essential Improved customer relationships Key Components of the Customer Service Management Process When you think about the customer service management process, two key components stand out: inquiry handling techniques and follow-up procedures. Perfecting these elements not merely streamlines interactions but also guarantees that customer concerns are addressed efficiently. Inquiry Handling Techniques How can effective inquiry handling transform your customer service experience? By ensuring quality and consistency in every interaction, you build trust with your customers. Utilizing omnichannel support allows customers to reach out through various platforms, making your service more accessible and efficient. First contact resolution (FCR) is vital; it measures how well you can resolve issues during the first interaction, directly impacting customer satisfaction. Implementing structured processes, like case management and knowledge management, can greatly improve your response times. These techniques not only streamline your operations but furthermore improve the overall customer experience. Follow-Up Procedures Effective follow-up procedures in customer service management serve as a critical component in enhancing customer satisfaction and loyalty. By reaching out to customers after interactions, you can confirm their issues are resolved and gather valuable feedback. This structured approach not just boosts retention rates—70% of customers return when they feel heard—but also helps identify areas needing improvement. It opens up opportunities for cross-selling and upselling, addressing additional needs. Consistent follow-up showcases your commitment to service, enhancing brand perception. It encourages word-of-mouth referrals, as satisfied customers share their positive experiences. Implementing these procedures demonstrates your dedication to customer care, in the end contributing to long-term business success. Benefits of Effective Customer Service Management Although many businesses recognize the importance of customer interaction, the benefits of effective Customer Service Management (CSM) extend far beyond just addressing inquiries. CSM improves customer satisfaction by streamlining operations, leading to quicker issue resolutions and positive experiences. When you implement CSM strategies, you can expect enhanced customer loyalty; consistent support builds trust, which results in repeat business and brand advocacy. Furthermore, CSM offers data-driven insights into customer needs, guiding product and service improvements that ultimately drive revenue growth and give you a competitive advantage. A strong CSM process likewise optimizes operational efficiency, reducing the time and resources spent on inquiries while boosting the productivity of your customer service teams. In addition, organizations with effective CSM practices benefit from a strengthened brand reputation, as excellent service encourages positive word-of-mouth and improves public perception, making it easier to attract new customers. Strategies for Improving Customer Service Management Improving Customer Service Management (CSM) requires a multifaceted approach that includes several effective strategies. By implementing these methods, you can boost service quality and customer satisfaction. Create a feedback loop: Regular customer surveys provide valuable insights that help identify issues, enabling you to address them quickly. Empower your team: Training and giving decision-making authority to customer service representatives can speed up resolution times and elevate overall satisfaction. Utilize technology: AI solutions and automation can streamline repetitive tasks, allowing agents to focus on complex inquiries and improve service efficiency. Additionally, establishing consistent communication across all channels guarantees customers receive unified and accurate information. Setting measurable goals and tracking key performance indicators (KPIs) will help you assess the effectiveness of your strategies, guiding continuous improvement efforts. Embracing Customer Feedback for Continuous Improvement To truly improve your customer service, you need to collect insights regularly from your customers. By implementing post-interaction surveys and utilizing various feedback channels, you can capture valuable suggestions that drive improvement. Acting on this feedback not just addresses recurring issues but additionally boosts customer satisfaction and loyalty, making it an essential part of your strategy. Collecting Insights Regularly Regularly collecting customer feedback is essential for businesses aiming to improve their service quality and maintain a competitive edge. By actively seeking insights through various channels, you can better understand customer needs and identify areas for improvement. This structured approach not only cultivates trust but also amplifies brand loyalty. Consider these strategies for effective feedback collection: Use post-interaction surveys to capture immediate reactions. Monitor social media platforms for real-time customer opinions. Organize focus groups to explore deeper into customer preferences. These methods can lead to a 10% to 15% increase in customer satisfaction scores, ensuring your offerings align with evolving expectations. Staying attentive to feedback helps refine products and services, encouraging continuous growth. Acting on Suggestions Though collecting customer feedback is vital, acting on those suggestions is what truly drives continuous improvement in service quality. When you embrace feedback, you’re likely to see improved customer satisfaction. Regular post-interaction surveys help gather actionable insights, and businesses that effectively use this feedback can report a 16% increase in customer satisfaction scores. Feedback Method Benefits Post-Interaction Surveys Actionable insights, better service Social Media Monitoring Real-time feedback, quick responses Structured Feedback Loop Improved adaptability, culture of responsiveness Leveraging Technology in Customer Service Management In today’s fast-paced business environment, integrating technology into Customer Service Management (CSM) is essential for enhancing operational efficiency and improving customer experiences. By leveraging AI solutions, you can automate repetitive tasks, allowing your customer service agents to focus on more complex issues. Implementing a unified customer service platform guarantees seamless omnichannel support, delivering consistent communication across various channels like phone, email, and live chat. Consider these key advantages of technology in CSM: Predictive analytics track key performance metrics, helping you proactively address customer needs. Self-service portals empower customers to resolve simple issues on their own, which 61% of customers prefer, reducing team workload. CRM systems manage customer interactions and organize data, providing personalized service. Building a Customer-Centric Culture To build a customer-centric culture, organizations must prioritize awareness and addressing customer needs at every level. A focus on grasping customers leads to consistent experiences across departments, which 79% of customers find essential for satisfaction. By nurturing this culture, you can boost loyalty and retention rates, as satisfied customers are more likely to return and advocate for your brand. Companies with a strong customer-centric approach often see a 10-15% increase in customer satisfaction scores. Here’s a quick overview of key components in building a customer-centric culture: Key Component Importance Action Steps Grasping Needs Guarantees aligned services Regular customer surveys Employee Empowerment Improves service delivery Provide decision-making authority Feedback Loops Identifies areas for improvement Implement regular feedback sessions Consistent Experience Increases customer satisfaction Train teams across departments Motivated Workforce Directly impacts customer experiences Offer thorough training Measuring Success in Customer Service Management Measuring success in customer service management is vital for comprehending how well your organization meets customer expectations and identifies areas for improvement. To achieve this, focus on key metrics that provide insights into your service effectiveness: Customer Satisfaction Score (CSAT) reflects customer likelihood to recommend your service based on their experiences. First Contact Resolution (FCR) indicates the percentage of inquiries resolved on the first interaction, boosting both satisfaction and loyalty. Net Promoter Score (NPS) measures customer loyalty by evaluating the likelihood of recommending your brand. Additionally, tracking agent productivity and ticket volume trends helps identify performance gaps, ensuring that your service aligns with operational goals. Frequently Asked Questions What Is the Customer Management Process? The customer management process involves four key touchpoints: receiving inquiries, assigning requests, resolving issues, and following up for customer satisfaction. You engage with customers through effective communication, ensuring consistent processes. This builds trust and rapport, in the end enhancing customer loyalty. Metrics like first contact resolution rate and customer satisfaction score help you assess the process’s efficiency. A well-structured approach streamlines operations, improving overall customer experience and driving business success. What Is the Meaning of Customer Service Management? Customer service management (CSM) involves overseeing customer interactions to improve satisfaction and loyalty. https://www.youtube.com/watch?v=Ihu9rr1wRa0 It combines various communication channels, ensuring a seamless experience where customers feel valued. CSM relies on data-driven insights to understand customer needs, guiding improvements in products and services. By effectively managing these interactions, businesses can boost operational efficiency and increase customer retention rates, which is often more economical than acquiring new customers. In the end, CSM is essential for maintaining strong customer relationships. What Are the 5 Steps of the CRM Process? The CRM process consists of five crucial steps. First, you identify customer needs by gathering data to understand preferences. Next, you capture customer data through various channels like surveys and social media. After that, you analyze the data to uncover trends and improvement areas. Then, you utilize these insights to improve customer interactions. Finally, you maintain ongoing relationships through consistent communication and personalized experiences, boosting customer loyalty and encouraging repeat business. What Is CRM and Why Is It Important? CRM, or Customer Relationship Management, is a strategy that helps you manage interactions with customers effectively. It centralizes customer data, allowing you to analyze behaviors and preferences, which is essential for tailoring your services. Implementing a robust CRM system can greatly boost customer retention rates and improve overall satisfaction. Conclusion In summary, effective Customer Service Management is crucial for enhancing customer satisfaction and loyalty. By comprehending its components and implementing strategies for improvement, organizations can nurture a customer-centric culture that drives retention and positive brand recommendations. Utilizing technology and actively seeking feedback further strengthens service processes. In the end, measuring success in CSM allows businesses to adapt and thrive in a competitive environment, ensuring they meet evolving customer expectations and maintain a strong reputation in the market. Image via Google Gemini This article, "What Is Customer Service Management Process and Why Is It Important?" was first published on Small Business Trends View the full article

Customer Service Management (CSM) is a systematic approach to overseeing customer interactions and experiences. It’s vital for enhancing customer satisfaction and loyalty, which directly influences a company’s success. By integrating various communication channels and providing teams with the necessary tools and training, organizations can better meet evolving customer expectations. Comprehending the key components of this process is fundamental, as it not only improves retention rates but additionally boosts brand reputation. What are the specific strategies that can enhance your CSM efforts? Key Takeaways Customer Service Management (CSM) oversees customer interactions to enhance satisfaction, loyalty, and overall experience across various communication channels. Effective CSM can boost customer retention rates by 10-15%, significantly impacting long-term business success. Key components include inquiry handling, omnichannel support, and structured processes for timely issue resolution. Implementing technology and analytics in CSM improves operational efficiency and enables proactive customer service strategies. Measuring success through metrics like CSAT and FCR helps organizations assess performance and continuously improve their CSM practices. Understanding Customer Service Management Comprehending Customer Service Management (CSM) is vital for any organization aiming to nurture strong customer relationships. The customer service management meaning revolves around overseeing customer interactions to improve satisfaction and loyalty. This process involves integrating various communication channels to guarantee a seamless experience for customers, which ultimately enhances overall service delivery. By empowering teams with the right tools and training, CSM helps meet evolving customer expectations while aligning with organizational goals across departments. Nevertheless, a significant 62% of customer experience leaders believe they’re falling short in providing instant responses, highlighting the need for robust CSM strategies. Additionally, actively seeking and analyzing customer feedback is a core aspect of the customer service management process, informing continuous improvement efforts. This feedback is critical for maintaining a competitive edge in the market, guaranteeing that your organization remains responsive to customer needs. The Importance of Customer Service Management The significance of Customer Service Management (CSM) cannot be overstated, as it plays a vital role in shaping customer experiences and nurturing loyalty. Effective CSM directly influences customer satisfaction and retention, with studies showing a potential 10-15% increase in retention rates when customer experience improves. Furthermore, a strong CSM process improves brand reputation, making 81% of consumers more likely to recommend a brand after a positive service encounter. In addition, organizations with efficient CSM practices can reduce service costs by up to 25%, optimizing operations through automation. Trust is also fundamental; 61% of customers consider trustworthiness important when interacting with companies using AI. By regularly collecting and acting on feedback, CSM strategies can lead to a 20% rise in customer satisfaction scores. Benefit Statistic Impact on Business Increase in Retention 10-15% Higher customer loyalty Brand Recommendation 81% Improved brand reputation Cost Reduction Up to 25% Lower operational expenses Customer Trust 61% consider trust essential Improved customer relationships Key Components of the Customer Service Management Process When you think about the customer service management process, two key components stand out: inquiry handling techniques and follow-up procedures. Perfecting these elements not merely streamlines interactions but also guarantees that customer concerns are addressed efficiently. Inquiry Handling Techniques How can effective inquiry handling transform your customer service experience? By ensuring quality and consistency in every interaction, you build trust with your customers. Utilizing omnichannel support allows customers to reach out through various platforms, making your service more accessible and efficient. First contact resolution (FCR) is vital; it measures how well you can resolve issues during the first interaction, directly impacting customer satisfaction. Implementing structured processes, like case management and knowledge management, can greatly improve your response times. These techniques not only streamline your operations but furthermore improve the overall customer experience. Follow-Up Procedures Effective follow-up procedures in customer service management serve as a critical component in enhancing customer satisfaction and loyalty. By reaching out to customers after interactions, you can confirm their issues are resolved and gather valuable feedback. This structured approach not just boosts retention rates—70% of customers return when they feel heard—but also helps identify areas needing improvement. It opens up opportunities for cross-selling and upselling, addressing additional needs. Consistent follow-up showcases your commitment to service, enhancing brand perception. It encourages word-of-mouth referrals, as satisfied customers share their positive experiences. Implementing these procedures demonstrates your dedication to customer care, in the end contributing to long-term business success. Benefits of Effective Customer Service Management Although many businesses recognize the importance of customer interaction, the benefits of effective Customer Service Management (CSM) extend far beyond just addressing inquiries. CSM improves customer satisfaction by streamlining operations, leading to quicker issue resolutions and positive experiences. When you implement CSM strategies, you can expect enhanced customer loyalty; consistent support builds trust, which results in repeat business and brand advocacy. Furthermore, CSM offers data-driven insights into customer needs, guiding product and service improvements that ultimately drive revenue growth and give you a competitive advantage. A strong CSM process likewise optimizes operational efficiency, reducing the time and resources spent on inquiries while boosting the productivity of your customer service teams. In addition, organizations with effective CSM practices benefit from a strengthened brand reputation, as excellent service encourages positive word-of-mouth and improves public perception, making it easier to attract new customers. Strategies for Improving Customer Service Management Improving Customer Service Management (CSM) requires a multifaceted approach that includes several effective strategies. By implementing these methods, you can boost service quality and customer satisfaction. Create a feedback loop: Regular customer surveys provide valuable insights that help identify issues, enabling you to address them quickly. Empower your team: Training and giving decision-making authority to customer service representatives can speed up resolution times and elevate overall satisfaction. Utilize technology: AI solutions and automation can streamline repetitive tasks, allowing agents to focus on complex inquiries and improve service efficiency. Additionally, establishing consistent communication across all channels guarantees customers receive unified and accurate information. Setting measurable goals and tracking key performance indicators (KPIs) will help you assess the effectiveness of your strategies, guiding continuous improvement efforts. Embracing Customer Feedback for Continuous Improvement To truly improve your customer service, you need to collect insights regularly from your customers. By implementing post-interaction surveys and utilizing various feedback channels, you can capture valuable suggestions that drive improvement. Acting on this feedback not just addresses recurring issues but additionally boosts customer satisfaction and loyalty, making it an essential part of your strategy. Collecting Insights Regularly Regularly collecting customer feedback is essential for businesses aiming to improve their service quality and maintain a competitive edge. By actively seeking insights through various channels, you can better understand customer needs and identify areas for improvement. This structured approach not only cultivates trust but also amplifies brand loyalty. Consider these strategies for effective feedback collection: Use post-interaction surveys to capture immediate reactions. Monitor social media platforms for real-time customer opinions. Organize focus groups to explore deeper into customer preferences. These methods can lead to a 10% to 15% increase in customer satisfaction scores, ensuring your offerings align with evolving expectations. Staying attentive to feedback helps refine products and services, encouraging continuous growth. Acting on Suggestions Though collecting customer feedback is vital, acting on those suggestions is what truly drives continuous improvement in service quality. When you embrace feedback, you’re likely to see improved customer satisfaction. Regular post-interaction surveys help gather actionable insights, and businesses that effectively use this feedback can report a 16% increase in customer satisfaction scores. Feedback Method Benefits Post-Interaction Surveys Actionable insights, better service Social Media Monitoring Real-time feedback, quick responses Structured Feedback Loop Improved adaptability, culture of responsiveness Leveraging Technology in Customer Service Management In today’s fast-paced business environment, integrating technology into Customer Service Management (CSM) is essential for enhancing operational efficiency and improving customer experiences. By leveraging AI solutions, you can automate repetitive tasks, allowing your customer service agents to focus on more complex issues. Implementing a unified customer service platform guarantees seamless omnichannel support, delivering consistent communication across various channels like phone, email, and live chat. Consider these key advantages of technology in CSM: Predictive analytics track key performance metrics, helping you proactively address customer needs. Self-service portals empower customers to resolve simple issues on their own, which 61% of customers prefer, reducing team workload. CRM systems manage customer interactions and organize data, providing personalized service. Building a Customer-Centric Culture To build a customer-centric culture, organizations must prioritize awareness and addressing customer needs at every level. A focus on grasping customers leads to consistent experiences across departments, which 79% of customers find essential for satisfaction. By nurturing this culture, you can boost loyalty and retention rates, as satisfied customers are more likely to return and advocate for your brand. Companies with a strong customer-centric approach often see a 10-15% increase in customer satisfaction scores. Here’s a quick overview of key components in building a customer-centric culture: Key Component Importance Action Steps Grasping Needs Guarantees aligned services Regular customer surveys Employee Empowerment Improves service delivery Provide decision-making authority Feedback Loops Identifies areas for improvement Implement regular feedback sessions Consistent Experience Increases customer satisfaction Train teams across departments Motivated Workforce Directly impacts customer experiences Offer thorough training Measuring Success in Customer Service Management Measuring success in customer service management is vital for comprehending how well your organization meets customer expectations and identifies areas for improvement. To achieve this, focus on key metrics that provide insights into your service effectiveness: Customer Satisfaction Score (CSAT) reflects customer likelihood to recommend your service based on their experiences. First Contact Resolution (FCR) indicates the percentage of inquiries resolved on the first interaction, boosting both satisfaction and loyalty. Net Promoter Score (NPS) measures customer loyalty by evaluating the likelihood of recommending your brand. Additionally, tracking agent productivity and ticket volume trends helps identify performance gaps, ensuring that your service aligns with operational goals. Frequently Asked Questions What Is the Customer Management Process? The customer management process involves four key touchpoints: receiving inquiries, assigning requests, resolving issues, and following up for customer satisfaction. You engage with customers through effective communication, ensuring consistent processes. This builds trust and rapport, in the end enhancing customer loyalty. Metrics like first contact resolution rate and customer satisfaction score help you assess the process’s efficiency. A well-structured approach streamlines operations, improving overall customer experience and driving business success. What Is the Meaning of Customer Service Management? Customer service management (CSM) involves overseeing customer interactions to improve satisfaction and loyalty. https://www.youtube.com/watch?v=Ihu9rr1wRa0 It combines various communication channels, ensuring a seamless experience where customers feel valued. CSM relies on data-driven insights to understand customer needs, guiding improvements in products and services. By effectively managing these interactions, businesses can boost operational efficiency and increase customer retention rates, which is often more economical than acquiring new customers. In the end, CSM is essential for maintaining strong customer relationships. What Are the 5 Steps of the CRM Process? The CRM process consists of five crucial steps. First, you identify customer needs by gathering data to understand preferences. Next, you capture customer data through various channels like surveys and social media. After that, you analyze the data to uncover trends and improvement areas. Then, you utilize these insights to improve customer interactions. Finally, you maintain ongoing relationships through consistent communication and personalized experiences, boosting customer loyalty and encouraging repeat business. What Is CRM and Why Is It Important? CRM, or Customer Relationship Management, is a strategy that helps you manage interactions with customers effectively. It centralizes customer data, allowing you to analyze behaviors and preferences, which is essential for tailoring your services. Implementing a robust CRM system can greatly boost customer retention rates and improve overall satisfaction. Conclusion In summary, effective Customer Service Management is crucial for enhancing customer satisfaction and loyalty. By comprehending its components and implementing strategies for improvement, organizations can nurture a customer-centric culture that drives retention and positive brand recommendations. Utilizing technology and actively seeking feedback further strengthens service processes. In the end, measuring success in CSM allows businesses to adapt and thrive in a competitive environment, ensuring they meet evolving customer expectations and maintain a strong reputation in the market. Image via Google Gemini This article, "What Is Customer Service Management Process and Why Is It Important?" was first published on Small Business Trends View the full article

Oil prices tumble following deal between Washington and Tehran to open Strait of HormuzView the full article

Behind the GEO trend is a familiar cycle: new acronym, same tactics, and a market built on fear of falling behind. The post GEO Was Invented On Sand Hill Road appeared first on Search Engine Journal. View the full article

Comprehending key tax year dates is vital for managing your financial responsibilities effectively. You’ve got important deadlines coming up, like the April 15, 2026, deadline for federal income tax returns and the January 15, 2026, due date for fourth quarterly estimated tax payments. Businesses likewise have critical dates to remember, including the March 15, 2026, filing deadline for partnerships and S Corporations. Missing these dates can have significant consequences, so it’s fundamental to stay informed about your obligations. Key Takeaways Federal income tax returns are due by April 15, 2026, with penalties for missed payments. Fourth quarterly estimated tax payments must be made by January 15, 2026. W-2 forms and certain 1099 documents must be received by January 31, 2026. Partnerships and S Corporations need to file returns by March 15, 2026. Extensions for individual tax returns can be requested until April 15, 2026, using Form 4868. Important Tax Deadlines for Individuals When you’re preparing for tax season, it’s crucial to be aware of important deadlines that can impact your filing process. For the 2025 tax year, the primary india tax deadline for individual federal income tax returns falls on April 15, 2026. If you’re making estimated tax payments, keep in mind the fourth quarterly payment is due on January 15, 2026. Employers must send out W-2 forms and certain 1099 documents to employees by January 31, 2026, so verify you’ve received yours in time. Furthermore, if you turn 73 in 2025, note that your required minimum distributions must be completed by April 1, 2026. If you need more time to file, submit Form 4868 by April 15, 2026, to extend your deadline to October 15, 2026. Staying on top of these tax year dates will help you avoid penalties and guarantee a smooth filing experience. Key Dates for Businesses Grasping key tax dates for businesses is essential for effective financial management and compliance. For Partnerships and S Corporations, the deadline to file 2025 calendar year returns is March 15, 2026. On the same day, C Corporations must likewise file their tax returns or request an extension. If you’re a C Corporation, sole proprietor, or single-member LLC, mark April 15, 2026, on your calendar as the due date for submitting your tax filings for the 2025 tax year. Tax-exempt nonprofits need to keep in mind that Form 990 is due by May 15, 2026, if they follow a calendar year. Furthermore, estimated tax payments for businesses are required by January 15, 2026, for the fourth quarter of 2025. Staying organized and aware of these deadlines can help you avoid complications in your financial planning and guarantee compliance with tax regulations. Consequences of Missing Tax Deadlines Missing tax deadlines can lead to significant financial repercussions that you should be aware of. If you miss the April 15 deadline for individual taxes, you’ll face penalties and interest on any unpaid balance until you file your return and pay your taxes. Similarly, failing to make estimated tax payments by their deadlines, like April 15 and June 16, may result in underpayment penalties. Moreover, late filing typically doesn’t incur penalties if you expect a refund, but if you owe taxes, you’ll still accrue interest and penalties until your return is filed and taxes are settled. Furthermore, missing the October 15 extension deadline means penalties will apply if you owe taxes, with further interest compounding until you resolve the outstanding balance. Finally, not adhering to deadlines for retirement account contributions, such as the April 15 IRA deadline, can lead to missed tax advantages and potential penalties. Extensions and Special Circumstances Taxpayers facing challenges in meeting the standard filing deadlines can explore various extensions and special circumstances that might apply to their situation. You can request an extension to file your individual tax return by April 15 using Form 4868, which extends your deadline to October 15. Nonetheless, keep in mind that any taxes owed must still be paid by the original due date to avoid penalties and interest. If you’re affected by a federally declared disaster, the IRS provides automatic extensions, allowing you extra time for both filing and payment without penalties. If you discover mistakes in your filing, you can correct them by re-filing your taxes. Furthermore, relief options may be available based on your specific circumstances. It’s essential to check your eligibility for these extensions and relief measures to effectively manage your tax responsibilities and avoid potential penalties. Estimated Tax Payments and Filing Options When you anticipate owing tax for the year, making estimated tax payments can help you manage your financial responsibilities effectively. For 2025, quarterly estimated tax payments are due on April 15, June 16, September 15, and January 15, 2026. You can estimate your annual income and tax liability using IRS Form 1040-ES, which provides clear guidelines for calculating these payments. If you need extra time to file, request an extension using Form 4868 by April 15, 2026, but keep in mind that this doesn’t extend the payment deadline. If you overestimate your tax payments, you may choose to receive a refund or apply the excess toward next year’s tax liability, offering some flexibility. Furthermore, e-filing your tax return is the fastest way to submit, allowing for immediate confirmation from the IRS and ensuring timely processing of your estimated payments. Frequently Asked Questions What Are the Important Tax Dates? Important tax dates to remember include the start of the filing season on January 27, 2025, when the IRS begins accepting returns. By January 31, 2025, employers must provide W-2s and 1099s. Your individual taxes are due on April 15, 2025, which is likewise the deadline for filing an extension. If you live abroad, you must file by June 16, 2025, along with your second quarter estimated tax payments. Why Is It Important to Know Key Dates Within the Tax Cycle? Knowing key dates within the tax cycle is essential to avoid penalties and interest. By being aware of filing deadlines, such as April 15 for individual taxes, you can guarantee timely submissions. Comprehending when to submit Forms W-2 and 1099 helps you comply with IRS requirements, preventing fines. Furthermore, knowing estimated tax payment dates allows you to manage cash flow effectively. What Dates Are in a Tax Year? In a tax year, several key dates matter for individuals. You start with January 1, when the tax year begins, and by January 31, employers must provide your W-2 forms. April 15 marks the deadline for filing your tax return or requesting an extension. If you’re 73 or older, you need to take required minimum distributions from your retirement accounts by December 31. Furthermore, estimated tax payments are due quarterly throughout the year. Is the IRS Sending $3000 Tax Refunds in June 2025? As of now, there’s no confirmation from the IRS about $3,000 tax refunds being issued in June 2025. Tax refunds depend on your individual tax filings, and any new refund programs would need legislative approval and proper implementation by the IRS. Typically, refunds are processed after you file your returns. Stay updated through official IRS channels for any announcements regarding potential refunds or changes in tax policy. Conclusion Staying informed about key tax year dates is crucial for managing your financial responsibilities. By noting deadlines for individual and business filings, in addition to estimated tax payments, you can avoid penalties and guarantee compliance. Keep in mind that extensions are available in some cases, but they don’t eliminate the obligation to pay taxes owed. Prioritize organization and preparation to navigate tax season smoothly, making certain you meet all required dates for a successful filing experience. Image via Google Gemini This article, "Key Tax Year Dates You Need to Know" was first published on Small Business Trends View the full article

Comprehending key tax year dates is vital for managing your financial responsibilities effectively. You’ve got important deadlines coming up, like the April 15, 2026, deadline for federal income tax returns and the January 15, 2026, due date for fourth quarterly estimated tax payments. Businesses likewise have critical dates to remember, including the March 15, 2026, filing deadline for partnerships and S Corporations. Missing these dates can have significant consequences, so it’s fundamental to stay informed about your obligations. Key Takeaways Federal income tax returns are due by April 15, 2026, with penalties for missed payments. Fourth quarterly estimated tax payments must be made by January 15, 2026. W-2 forms and certain 1099 documents must be received by January 31, 2026. Partnerships and S Corporations need to file returns by March 15, 2026. Extensions for individual tax returns can be requested until April 15, 2026, using Form 4868. Important Tax Deadlines for Individuals When you’re preparing for tax season, it’s crucial to be aware of important deadlines that can impact your filing process. For the 2025 tax year, the primary india tax deadline for individual federal income tax returns falls on April 15, 2026. If you’re making estimated tax payments, keep in mind the fourth quarterly payment is due on January 15, 2026. Employers must send out W-2 forms and certain 1099 documents to employees by January 31, 2026, so verify you’ve received yours in time. Furthermore, if you turn 73 in 2025, note that your required minimum distributions must be completed by April 1, 2026. If you need more time to file, submit Form 4868 by April 15, 2026, to extend your deadline to October 15, 2026. Staying on top of these tax year dates will help you avoid penalties and guarantee a smooth filing experience. Key Dates for Businesses Grasping key tax dates for businesses is essential for effective financial management and compliance. For Partnerships and S Corporations, the deadline to file 2025 calendar year returns is March 15, 2026. On the same day, C Corporations must likewise file their tax returns or request an extension. If you’re a C Corporation, sole proprietor, or single-member LLC, mark April 15, 2026, on your calendar as the due date for submitting your tax filings for the 2025 tax year. Tax-exempt nonprofits need to keep in mind that Form 990 is due by May 15, 2026, if they follow a calendar year. Furthermore, estimated tax payments for businesses are required by January 15, 2026, for the fourth quarter of 2025. Staying organized and aware of these deadlines can help you avoid complications in your financial planning and guarantee compliance with tax regulations. Consequences of Missing Tax Deadlines Missing tax deadlines can lead to significant financial repercussions that you should be aware of. If you miss the April 15 deadline for individual taxes, you’ll face penalties and interest on any unpaid balance until you file your return and pay your taxes. Similarly, failing to make estimated tax payments by their deadlines, like April 15 and June 16, may result in underpayment penalties. Moreover, late filing typically doesn’t incur penalties if you expect a refund, but if you owe taxes, you’ll still accrue interest and penalties until your return is filed and taxes are settled. Furthermore, missing the October 15 extension deadline means penalties will apply if you owe taxes, with further interest compounding until you resolve the outstanding balance. Finally, not adhering to deadlines for retirement account contributions, such as the April 15 IRA deadline, can lead to missed tax advantages and potential penalties. Extensions and Special Circumstances Taxpayers facing challenges in meeting the standard filing deadlines can explore various extensions and special circumstances that might apply to their situation. You can request an extension to file your individual tax return by April 15 using Form 4868, which extends your deadline to October 15. Nonetheless, keep in mind that any taxes owed must still be paid by the original due date to avoid penalties and interest. If you’re affected by a federally declared disaster, the IRS provides automatic extensions, allowing you extra time for both filing and payment without penalties. If you discover mistakes in your filing, you can correct them by re-filing your taxes. Furthermore, relief options may be available based on your specific circumstances. It’s essential to check your eligibility for these extensions and relief measures to effectively manage your tax responsibilities and avoid potential penalties. Estimated Tax Payments and Filing Options When you anticipate owing tax for the year, making estimated tax payments can help you manage your financial responsibilities effectively. For 2025, quarterly estimated tax payments are due on April 15, June 16, September 15, and January 15, 2026. You can estimate your annual income and tax liability using IRS Form 1040-ES, which provides clear guidelines for calculating these payments. If you need extra time to file, request an extension using Form 4868 by April 15, 2026, but keep in mind that this doesn’t extend the payment deadline. If you overestimate your tax payments, you may choose to receive a refund or apply the excess toward next year’s tax liability, offering some flexibility. Furthermore, e-filing your tax return is the fastest way to submit, allowing for immediate confirmation from the IRS and ensuring timely processing of your estimated payments. Frequently Asked Questions What Are the Important Tax Dates? Important tax dates to remember include the start of the filing season on January 27, 2025, when the IRS begins accepting returns. By January 31, 2025, employers must provide W-2s and 1099s. Your individual taxes are due on April 15, 2025, which is likewise the deadline for filing an extension. If you live abroad, you must file by June 16, 2025, along with your second quarter estimated tax payments. Why Is It Important to Know Key Dates Within the Tax Cycle? Knowing key dates within the tax cycle is essential to avoid penalties and interest. By being aware of filing deadlines, such as April 15 for individual taxes, you can guarantee timely submissions. Comprehending when to submit Forms W-2 and 1099 helps you comply with IRS requirements, preventing fines. Furthermore, knowing estimated tax payment dates allows you to manage cash flow effectively. What Dates Are in a Tax Year? In a tax year, several key dates matter for individuals. You start with January 1, when the tax year begins, and by January 31, employers must provide your W-2 forms. April 15 marks the deadline for filing your tax return or requesting an extension. If you’re 73 or older, you need to take required minimum distributions from your retirement accounts by December 31. Furthermore, estimated tax payments are due quarterly throughout the year. Is the IRS Sending $3000 Tax Refunds in June 2025? As of now, there’s no confirmation from the IRS about $3,000 tax refunds being issued in June 2025. Tax refunds depend on your individual tax filings, and any new refund programs would need legislative approval and proper implementation by the IRS. Typically, refunds are processed after you file your returns. Stay updated through official IRS channels for any announcements regarding potential refunds or changes in tax policy. Conclusion Staying informed about key tax year dates is crucial for managing your financial responsibilities. By noting deadlines for individual and business filings, in addition to estimated tax payments, you can avoid penalties and guarantee compliance. Keep in mind that extensions are available in some cases, but they don’t eliminate the obligation to pay taxes owed. Prioritize organization and preparation to navigate tax season smoothly, making certain you meet all required dates for a successful filing experience. Image via Google Gemini This article, "Key Tax Year Dates You Need to Know" was first published on Small Business Trends View the full article

Hreflang has long been a core mechanism in international SEO, directing users to the right regional version of a page. That approach worked when search engines primarily returned static results. AI-driven synthesis changes that. Instead of returning lists of links, AI systems construct answers. They don’t need, nor want, your perfectly implemented hreflang tags. They aren’t looking for instructions on which page to serve. They’re trying to determine which answer is best supported across sources. Your content has to hold up when the model compares it against everything it’s seen, regardless of language or origin. If it doesn’t, it won’t be used. What hreflang does and doesn’t do We need to address a fundamental misunderstanding of the hreflang attribute. Hreflang has always been a switcher, not a booster. If your brand lacked organic authority in Australia before implementing the tag, adding the en-au attribute wouldn’t magically improve your rankings in Sydney. Its only function was to ensure that if you did rank, the user saw the correct regional version. In AI search, this “you vs. you” dynamic has become a liability. While traditional search still relies on these tags to organize traffic, AI models often bypass them during the synthesis phase. If a brand’s U.S.-based .com site possesses decades of authority, the AI’s internal logic may determine that the U.S. site is the true source of information. Consequently, even when a user in Berlin searches in German, the AI may synthesize an answer based on the U.S. data and simply translate it on the fly, effectively ghosting the brand’s localized German site despite perfectly implemented hreflang tags. Your customers search everywhere. Make sure your brand shows up. The SEO toolkit you know, plus the AI visibility data you need. Start Free Trial Get started with The double-blind: Query fan-out vs. entity compression AI models don’t just answer the query you see. They expand it into dozens of hidden checks, comparing sources, validating claims, and pulling in information across languages to see what aligns. ChatGPT often translates and evaluates queries in English even when the user searches in another language, research from Peec AI shows. This reinforces how query fan-out operates across markets. If your local entity doesn’t hold up in that broader comparison, it doesn’t get used. A second issue happens before retrieval even begins. During training, LLMs compress what they see so it can be stored and reused at scale. When multiple regional pages look too similar, they don’t stay separate. They’re folded into a single representation, also known as canonical tokenization. Local details — phone numbers, office locations, and market-specific references — don’t always survive that process. They’re treated as minor variations rather than meaningful signals. By the time the model is asked a question, your local site is often no longer competing. In many cases, it’s already been absorbed into the global one. Dig deeper: What the ‘Global Spanish’ problem means for AI search visibility 7 ways to build AI-first relevancy To compete globally, expand your strategy to include signals that resonate with AI’s data supply chain. 1. Build locally aligned infrastructure Meta tags tell systems what you intend. Infrastructure often tells them what to believe. Datasets like Common Crawl use geographic heuristics, IP location, and domain structure to make sense of content at scale. That happens early in the process, before anything resembling ranking. This means your content may already be placed in a market before the model ever evaluates it. If your regional domains aren’t supported by local infrastructure or delivery, you’re sending mixed signals. Those are hard to recover from later. 2. Break the compression threshold To break the semantic gravity that leads to entity compression, you need what I would call a clear “knowledge delta.” Most global teams fail here because they think localization means translation. It doesn’t. There’s no universally accepted magic number for unique content. From a semantic vector perspective, I speculate that a divergence threshold of at least 20% of the content on a local page must be unique to prevent the model from collapsing your local identity into your global one. To address this, front-load market-specific data, such as regional shipping logistics, local tax identifiers, and native case studies, into the first 30% of your page. This lets you provide the mathematical proof the model needs to cite your local URL as a distinct authority. 3. Anchor your entity in semantic neighborhoods AI models interpret market relevance by looking at the company you keep in the text. Incorporate geographic anchoring by referencing local neighborhoods, regional landmarks, or specific transit hubs (e.g., “located near the Alexanderplatz station” in Berlin). These co-occurrence signals pull your brand’s vector embedding toward the specific local coordinate in the model’s training data, creating a geographic fence that helps the AI disambiguate your local office from your global headquarters. Dig deeper: How to craft an international SEO approach that balances tech, translation and trust Get the newsletter search marketers rely on. See terms. 4. Prioritize local link sources The origin of your links is a primary signal of market authority. During the fan-out phase, AI models look for regional consensus. This is one of the areas where traditional link building logic starts to break. It’s not just about getting links. Consider where those links originate, along with their authority and contextual relevance. If your Australian page has backlinks primarily from U.S.-based websites, the model has little evidence that you actually belong in or are relevant to the Australian market. Local sources, including high local trust and location-specific news outlets, change that. Without them, you’re often treated more like a visitor than a participant. 5. Incorporate linguistic and authoritative nuances LLMs pick up on regional language nuances far more than most teams expect. This is where simple translation starts to break down. Unique market- or colloquial-specific terms, formatting, and even small legal references signal whether something actually belongs in a market. Use the terms people in that market actually use — things like “incl. GST,” local identifiers like ABN, and even spelling differences. Without these signals, the page may be technically and linguistically correct, but it won’t register as truly local. 6. Capture the invisible long-tail As mentioned, LLMs often generate multiple incremental queries during their research phase. These invisible queries may focus on local friction points, such as “How does this product comply with [name of local regulation]?” By incorporating local FAQ clusters that address these nuances, you ensure your local URL survives the fan-out check, making your global .com too generic to be cited in a localized answer. Dig deeper: Why AI optimization is just long-tail SEO done right 7. Run AI citation audits Expand your SEO reporting beyond traditional rank tracking. Incorporate AI citation audits by using a local VPN to query the most popular generative engines in your target markets. If the AI consistently pulls from your global .com domain for a local query, it’s a clear signal that your local domain lacks the necessary evidence chain. Identify where this market drift is occurring and reinforce those specific pages with more unique local data and infrastructure signals. See the complete picture of your search visibility. Track, optimize, and win in Google and AI search from one platform. Start Free Trial Get started with The new international standard Hreflang and traditional technical signals still shape how search engines organize and deliver content, but they don’t determine what AI systems use. AI models evaluate which sources to use based on evidence of local relevance. Without a distinct presence in each market, they default to the version of your brand they trust most, which often isn’t the one you intended. Translation alone doesn’t establish that presence. Your content needs to demonstrate that it belongs in the market it’s meant to serve. Dig deeper: Multilingual and international SEO: 5 mistakes to watch out for View the full article

Introducing Remix with Rovo and partner agents in Confluence — a new way to instantly transform Confluence pages into charts, prototypes, presentations, and apps The last mile of knowledge Something strange happened over the past decade of work. Teams got incredibly good at creating knowledge — documenting decisions, capturing meeting notes, writing specs. But all that effort exposed a different problem: most of that knowledge never reaches the people who need it, in a format they can actually use. Confluence pages with 1 or more visual element are 18% more likely to be read by a wider audience. This isn’t a search problem. It isn’t an access problem. It’s a format problem. The knowledge exists. It’s just stuck in a form that doesn’t match how the next person needs to consume it. This means manual work: copying from docs into slides, reformatting for different audiences, and losing context, repackaging existing knowledge instead of creating new. We’re introducing two new experiences to close that gap to change how teams get value from work they’ve already created. Remix with Rovo transforms content on any Confluence page into new formats like charts, infographics, and other visuals. Pre-built third party partner agents for Lovable, Replit, and Gamma, turn Confluence content into working prototypes, starter apps, and presentations in those tools without manual copy-pasting or custom integrations. What’s available today Remix with Rovo starts rolling out today in open beta for Confluence Cloud customers with Rovo. At launch, Remix supports — data visualizations, infographics, diagrams, and charts — with more formats coming soon. Out-of-the-box partner agents for Lovable, Replit, and Gamma are in open beta and start rolling out next week. Admins can enable partner agents in Atlassian Administration under Connected Apps, with no custom agent creation or scripting required. Introducing Remix with Rovo Confluence has always been where teams go to create and share knowledge. With Remix, it becomes something more: an adaptive workspace — one where the content itself reshapes to meet the reader, not the other way around. Select any content on a Confluence page and instantly transform it into a visual format optimized for how someone needs to consume it. A data-heavy section becomes a chart. A process description becomes an infographic. A long-form analysis becomes a visual summary. No copy-pasting, no switching tools, no reformatting. Just the boost in understanding that comes from nailing the format. Confluence pages with 1 or more visual element are 18% more likely to be read by a wider audience. Three things make Remix with Rovo fundamentally different from what’s come before: It’s non-destructive. Remix never overwrites your page. Every remix is an extra layer on top of the source, which stays intact as the canonical version — so you get new ways to view the content without creating copies that go stale. It’s opinionated. Remix gives you ready-made format options or a freeform prompt if you already know what you want. Pick a preset (like a chart for numbers or an infographic for a flow), or describe the output in your own words. In both cases, it analyzes the content to propose a strong first version you can tweak. It’s embedded, not separate. Remix views are created and live right on the page. Instead of sending people to a separate deck, report, or tool, the most digestible version of the content sits where they already are. Anyone visiting a Confluence page can turn the source into the version that’s easiest for them to scan, compare, and act on. When the right format lives in a different tool Sometimes the next step isn’t a better chart — it’s a working prototype. A starter app. That’s why we’re also launching out-of-the-box partner agents in Confluence, starting with Lovable, Replit, and Gamma, built on Rovo and powered by MCP. From any Confluence page, invoke a partner agent that carries your content (and context) into a native output in that partner’s tool using Rovo Chat. A product spec becomes a real Lovable application our designer can interact with in minutes. A technical doc becomes a Replit starter app your engineer can fork and extend. Meeting notes become a Gamma presentation your team lead can walk into a room with. And Rovo Skills keep that output linked back to the source page it came from. That linkage runs through the Teamwork Graph, the same layer of work relationships and context, built from over 100 billion data points across Atlassian, that powers agents in Jira and MCP skills for Rovo. When a partner agent carries your content into Lovable or Replit, it doesn’t just carry the text. It carries the context: who created it, what project it belongs to, what decisions it connects to. Enable a partner’s MCP server once and within minutes, teams get a ready-to-use agent in their Rovo directory, pre-configured by the partner, inheriting the permissions and context of your workspace. And because everything routes back through Confluence, work created in an external tool doesn’t disappear into that tool’s silo. It stays anchored to your source of truth. And these partner agents are just the beginning. Go further with MCP skills in Rovo The same foundation that’s powering these Partner agents – MCP – also lets you bring in tools beyond the ones we’ve launched with today. MCP lets any tool connect to Confluence as an AI-aware service. Today that includes Lovable, Replit, and Gamma. But the protocol is open, the server is documented, and any partner can build an agent that works with the knowledge your team already has in Confluence, without waiting for us to build a bespoke integration. To discover MCP‑compatible skills from your favorite apps, and use them with Rovo across Confluence, Jira, and more, visit our gallery of MCP servers and start connecting them to your work today. Check out Rovo MCP skills A different bet about AI in the enterprise This is the second chapter of a platform shift we started in February. Agents in Jira showed what happens when AI joins your team inside the tool where work gets tracked. Today, Remix and partner agents show what happens when AI joins your team inside the tool where knowledge lives. Together, they mark a turn from AI that helps individuals produce faster to AI that helps teams deliver to each other — across tools, across formats, across the last mile. Because the last mile of knowledge isn’t about writing more. It’s about delivering better. See what that looks like in practice Check out our new digital series, Rovo at Work, to see product demos and real-world examples of how Atlassian teams use Remix, Rovo Skills, and Rovo Dev in Jira to transform how they get work done and deliver better outcomes. Watch Rovo at Work The post Your team’s best ideas are trapped in the wrong format. AI just fixed that. appeared first on Work Life by Atlassian. View the full article

Introducing Remix with Rovo and partner agents in Confluence — a new way to instantly transform Confluence pages into charts, prototypes, presentations, and apps The last mile of knowledge Something strange happened over the past decade of work. Teams got incredibly good at creating knowledge — documenting decisions, capturing meeting notes, writing specs. But all that effort exposed a different problem: most of that knowledge never reaches the people who need it, in a format they can actually use. Confluence pages with 1 or more visual element are 18% more likely to be read by a wider audience. This isn’t a search problem. It isn’t an access problem. It’s a format problem. The knowledge exists. It’s just stuck in a form that doesn’t match how the next person needs to consume it. This means manual work: copying from docs into slides, reformatting for different audiences, and losing context, repackaging existing knowledge instead of creating new. We’re introducing two new experiences to close that gap to change how teams get value from work they’ve already created. Remix with Rovo transforms content on any Confluence page into new formats like charts, infographics, and other visuals. Pre-built third party partner agents for Lovable, Replit, and Gamma, turn Confluence content into working prototypes, starter apps, and presentations in those tools without manual copy-pasting or custom integrations. What’s available today Remix with Rovo starts rolling out today in open beta for Confluence Cloud customers with Rovo. At launch, Remix supports — data visualizations, infographics, diagrams, and charts — with more formats coming soon. Out-of-the-box partner agents for Lovable, Replit, and Gamma are in open beta and start rolling out next week. Admins can enable partner agents in Atlassian Administration under Connected Apps, with no custom agent creation or scripting required. Introducing Remix with Rovo Confluence has always been where teams go to create and share knowledge. With Remix, it becomes something more: an adaptive workspace — one where the content itself reshapes to meet the reader, not the other way around. Select any content on a Confluence page and instantly transform it into a visual format optimized for how someone needs to consume it. A data-heavy section becomes a chart. A process description becomes an infographic. A long-form analysis becomes a visual summary. No copy-pasting, no switching tools, no reformatting. Just the boost in understanding that comes from nailing the format. Confluence pages with 1 or more visual element are 18% more likely to be read by a wider audience. Three things make Remix with Rovo fundamentally different from what’s come before: It’s non-destructive. Remix never overwrites your page. Every remix is an extra layer on top of the source, which stays intact as the canonical version — so you get new ways to view the content without creating copies that go stale. It’s opinionated. Remix gives you ready-made format options or a freeform prompt if you already know what you want. Pick a preset (like a chart for numbers or an infographic for a flow), or describe the output in your own words. In both cases, it analyzes the content to propose a strong first version you can tweak. It’s embedded, not separate. Remix views are created and live right on the page. Instead of sending people to a separate deck, report, or tool, the most digestible version of the content sits where they already are. Anyone visiting a Confluence page can turn the source into the version that’s easiest for them to scan, compare, and act on. When the right format lives in a different tool Sometimes the next step isn’t a better chart — it’s a working prototype. A starter app. That’s why we’re also launching out-of-the-box partner agents in Confluence, starting with Lovable, Replit, and Gamma, built on Rovo and powered by MCP. From any Confluence page, invoke a partner agent that carries your content (and context) into a native output in that partner’s tool using Rovo Chat. A product spec becomes a real Lovable application our designer can interact with in minutes. A technical doc becomes a Replit starter app your engineer can fork and extend. Meeting notes become a Gamma presentation your team lead can walk into a room with. And Rovo Skills keep that output linked back to the source page it came from. That linkage runs through the Teamwork Graph, the same layer of work relationships and context, built from over 100 billion data points across Atlassian, that powers agents in Jira and MCP skills for Rovo. When a partner agent carries your content into Lovable or Replit, it doesn’t just carry the text. It carries the context: who created it, what project it belongs to, what decisions it connects to. Enable a partner’s MCP server once and within minutes, teams get a ready-to-use agent in their Rovo directory, pre-configured by the partner, inheriting the permissions and context of your workspace. And because everything routes back through Confluence, work created in an external tool doesn’t disappear into that tool’s silo. It stays anchored to your source of truth. And these partner agents are just the beginning. Go further with MCP skills in Rovo The same foundation that’s powering these Partner agents – MCP – also lets you bring in tools beyond the ones we’ve launched with today. MCP lets any tool connect to Confluence as an AI-aware service. Today that includes Lovable, Replit, and Gamma. But the protocol is open, the server is documented, and any partner can build an agent that works with the knowledge your team already has in Confluence, without waiting for us to build a bespoke integration. To discover MCP‑compatible skills from your favorite apps, and use them with Rovo across Confluence, Jira, and more, visit our gallery of MCP servers and start connecting them to your work today. Check out Rovo MCP skills A different bet about AI in the enterprise This is the second chapter of a platform shift we started in February. Agents in Jira showed what happens when AI joins your team inside the tool where work gets tracked. Today, Remix and partner agents show what happens when AI joins your team inside the tool where knowledge lives. Together, they mark a turn from AI that helps individuals produce faster to AI that helps teams deliver to each other — across tools, across formats, across the last mile. Because the last mile of knowledge isn’t about writing more. It’s about delivering better. See what that looks like in practice Check out our new digital series, Rovo at Work, to see product demos and real-world examples of how Atlassian teams use Remix, Rovo Skills, and Rovo Dev in Jira to transform how they get work done and deliver better outcomes. Watch Rovo at Work The post Your team’s best ideas are trapped in the wrong format. AI just fixed that. appeared first on Work Life by Atlassian. View the full article