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SEO Tools and Resources

Discuss popular SEO tools like SEMrush, Ahrefs, and Google Analytics, and share resources that make SEO easier.

  1. If you’ve been working on your website for a couple of years, chances are that your website has become a giant collection of posts and pages. When writing a post, you might find out you’ve already written a similar article (maybe even twice), or you might get a feeling that you’ve written something related that you can’t find anymore. This can become even more complex when you’re not the only one writing for this website. Cleaning up your older content can be overwhelming; that’s why regular content maintenance is key. In this post, we’ll give you some tips to create a good content maintenance strategy! Table of contents 1. Reserve time for content maintenance 2. Wh…

  2. As SEO grows more collaborative and data-driven, more teams are operating remotely – sometimes by choice, sometimes by necessity. But managing SEO remotely brings its own challenges. Drawing on eight years of leading fully remote SEO teams, here are 10 key aspects of your workflow, setup, and strategy to get right for long-term success. 1. Culture First, consider if you’re working with just a remote team or a fully remote company. An SEO consulting firm could easily decide to go fully remote. But if you’re leading an in-house SEO team working for a larger company, you may not have that option. Second, consider whether your team culture is remote-first …

  3. The shift away from fully keyword-targeted search campaigns has been building for years – but this week, it reached a tipping point. Two account managers on my team, each handling different clients in different industries, came to me with the same uneasy admission. They were leaning toward dropping some of their keyword search campaigns in favor of Performance Max. Not all of them. But some. These weren’t impulsive calls. They were data-backed decisions made after months of testing, optimization, and watching Performance Max consistently outperform keyword-targeted campaigns. Are we heading toward keywordless targeting? Not quite. But we’ve reac…

  4. Google is launching a suite of updates across Ad Manager, AdSense, and AdMob to help publishers save time, strengthen advertiser relationships, and better monetize content — with major additions powered by AI and real-time technology. AI-driven automation: Smarter brand safety: A new AI tool learns a publisher’s specific brand standards and will soon automatically block unwanted ads, reducing time spent in manual ad reviews. Generative AI reporting: Publishers can now ask questions like “Which ad units had the highest CPM last week?” and instantly generate tailored performance reports in Ad Manager. AI Help guide: Rolling out in Ad Manager, AdMob, and AdSen…

  5. Microsoft has released an upgrade to Copilot, bringing what it calls “the best of AI Search” to its AI engine – Copilot. Microsoft said its Copilot responses “will now include more prominent, clickable citations and the option to see aggregated sources.” Plus, Microsoft added a new dedicated search experiment within Copilot. Prominent citations. Microsoft said “Copilot’s responses will have more prominent citations to show you the publisher content that it was sourced from” in this new experience. The Copilot responses will not just give you a summary response but now also include “exactly where the information comes from, with relevant, clear, and clickable sources.…

  6. For over a decade, Google rewarded rankings with visits, so SEO practitioners learned to justify success with rankings, clicks, and traffic. For a long time, that proxy worked. But in B2B, it was always fragile—and now it’s collapsing. Zero-click searches siphon visits, SERP features crowd out listings, and generative engines influence early discovery with answer-first experiences. What once looked like performance is now little more than hope-based marketing. The real challenge for practitioners has never been about proving activity—it’s been about translating our expertise into outcomes the business actually cares about. Aligning with business objectives is crit…

  7. OpenAI CEO Sam Altman said ChatGPT will likely try ads “at some point” but he still has “no idea” what ads will look like. Altman also doesn’t see ads as OpenAI’s “biggest revenue opportunity.” In an interview on Conversations with Tyler, Altman also took another direct shot at Google’s ad model: “Ads on a Google search are dependent on Google doing badly. If it was giving you the best answer, there’d be no reason ever to buy an ad above it. “So you’re like – that thing is not quite aligned with me. ChatGPT, maybe it gives you the best answer, maybe it doesn’t, but you’re paying it, or hopefully all are paying it, and it’s at least trying to give you the best…

  8. Google has updated its Circumventing Systems policy to include a new example explicitly warning advertisers that submitting false information during the Advertiser Verification process violates its rules and will lead to account suspension. The details: The update was added to the Circumventing Systems section of Google’s Ads policies in November 2025. It specifies that providing false or fraudulent information during verification is treated as an intentional attempt to bypass Google’s compliance systems. Violations will result in immediate account suspension. Why we care. This clarification reinforces Google’s zero-tolerance stance on misinformation wi…

  9. Affiliate marketing drives billions in sales – and billions more in hidden losses. Brand bidding, ad hijacking, coupon abuse, and more subtle forms of affiliate fraud can quietly drain ROI and distort attribution. For performance leaders, the question isn’t if this happens, but how much you’re already losing. This article breaks down the most common types of affiliate marketing fraud and shows how modern monitoring tools like Bluepear help brands protect growth, reputation, and spend through smarter affiliate fraud detection strategies. Why affiliate programs are under threat Not all affiliate programs are created equal – and neither are their incentive…

  10. Google DeepMind launched Nano Banana Pro, the next-gen version of its earlier Nano Banana image model and the image system powering Gemini 3 Pro. The upgrade brings sharper text rendering, richer world knowledge, higher consistency across edits, and more precise creative controls — all aimed at producing studio-quality visuals from even the roughest ideas. Why we care. Nano Banana Pro is built to help anyone — casual creators, designers, advertisers, developers, filmmakers — go from concept to polished visual with far more accuracy, reasoning, and control than previous models allowed. It can: Generate context-rich educational visuals, grounded in real-world d…

  11. Search performance is shifting across industries as AI systems increasingly answer first and link later, changing how brands earn visibility and attribution. You now have to think beyond rankings and focus on how your brand is interpreted and cited inside AI-generated results. Answer engine optimization (AEO) has moved from emerging concept to required practice. Structure, clarity, and credibility now function as core visibility signals that help large language models interpret, summarize, and confidently present content. The implications are universal, but not uniform. In retail, AEO reshapes product discovery. In healthcare, it tests accuracy …

  12. Google announced new branded queries filters are rolling out gradually within Google Search Console reporting. You can filter your performance reports by branded or non-branded queries and Google can show you the percentage of branded versus non-branded traffic driven to your site from Google Search. This was first introduced at the Google Search Central event in Tel Aviv today, so this news leaked from there first. What are branded queries. Google defined what it considers a branded query. Google wrote: A branded query is a query that includes your brand name (for example, Google), variations or misspellings of the brand name (for example, Gogle), and brand-…

  13. Started by ResidentialBusiness,

    Today’s consumers get pulled in a thousand different directions online: Scrolling YouTube Shorts. Tracking TikTok influencer content. Browsing Gmail promotions. Deciding whether the latest viral Facebook video is real or AI. And that’s all before lunch. Once, the path between intent and conversion was nearly a straight line. Now, in our new attention economy, constant advertising noise makes buying decisions much more complex. Most advertisers, however, have not adjusted to this new dynamic. They’re only focused on showing up when intent is obvious in search, missing entire audiences who never reach the search bar. Google’s Deman…

  14. For much of its history, marketing thrived on creativity, intuition and an almost magical ability to connect with audiences. Campaigns were conceived in brainstorming sessions, executed over weeks or months and celebrated (or dissected) once the results rolled in. Theodore Levitt’s “The Marketing Imagination” stays on most marketers’ bookcases alongside their team’s awards. Much of the technology we buy inside marketing is mostly isolated and gives fractal views of the customer, never a complete one and never of the customer in motion (with or without us). The one platform to solve it all has been the misnomer we have been hunting for but will never find. The promise…

  15. Historically, Google Search has driven innovation by rewarding high-quality content with visibility and traffic. In the last article in this series, we talked about the risks of Google AI over-personalizing results and reinforcing filter bubbles. In this article, we’ll look at the opposite risk. If Google’s new AI results skew away from diversity and towards standardized results that favor big brands and consensus views, it could limit creativity and innovation and accelerate the commodification of the web. Some may find this concern naive because the internet is already very commodified, but historically, even small websites and businesses believed that they had…

  16. With AI Max for Search now widely available in beta, advertisers are debating everything from performance comparisons to how it plays with existing keyword structures. Google Ads Liaison, Ginny Marvin is stepping in to clarify what AI Max is — and what it isn’t. What AI Max is designed to do. AI Max aims to unlock incremental conversions or conversion value — not replace or compete with your current keyword setup. It expands reach using broad match logic and keywordless matching (think DSA-style crawling of your landing pages). It pairs that with dynamic creative optimization, including text customization and Final URL expansion, to match intent more precisely…

  17. Automation has shaped PPC for decades, and the landscape keeps shifting. I’ve seen that evolution firsthand, from helping build the first AdWords Editor to developing early Google Ads scripts and writing about automation layering. Now we’re entering another major transition. As AI changes how we search and get answers, it’s also transforming how automation itself gets built. And this time, the momentum isn’t coming from ad platforms like Google – it’s coming from AI companies like OpenAI. Until recently, AI mostly helped with human language tasks like writing ad copy, summaries, or reports. But the latest generation of LLMs can increasingly gene…

  18. Started by ResidentialBusiness,

    Leading SEO platform Semrush – the company that acquired Search Engine Land, MarTech, and Third Door Media in October 2024 – is being acquired by software company Adobe. Adobe announced the acquisition today. The all-cash deal is valued at about $1.9 billion and is expected to close in the first half of 2026, pending regulatory and shareholder approvals. What Semrush is saying. Andrew Warden, Semrush’s chief marketing officer, shared this on LinkedIn: Big news: Semrush has agreed to be acquired by Adobe. It’s a winning combination: Adobe brings leading customer experience orchestration in the agentic AI era with its content supply chain and other solutions.…

  19. Google is rolling out new Google Maps features that will show searchers more information about nearby businesses and events. Plus, Google is allowing reviewers to use nicknames instead of their real names when leaving a review. Know before you go. Google is rolling out the “know before you go” feature within Google Maps. This is a feature we saw being tested before, both in Search and in Maps, but now it is officially rolling out in Google Maps. When you search for places in Google Maps, Google will show you a new section with “know before you go” tips. Google will show you information like parking tips, secret menu items, the best way to book a reservation, and d…

  20. LLM-driven discovery is reshaping how readers find and evaluate information, yet most teams still don’t know what actually gets cited by ChatGPT. While early theories suggest that structure, freshness, or authority signals are the primary drivers, the actual drivers have remained unclear. To bring more clarity, I audited 15 domains in September across ecommerce, cybersecurity and tech, healthcare, data analytics, education, and local business. Together, these sites generated nearly 2 million organic monthly sessions and 7,500 direct referral sessions from ChatGPT. The analysis focused on blog posts – one of the most controllable levers for non-branded vi…

  21. Google submitted a compliance plan to the European Commission that proposes changes to its ad-tech operations — but rejects calls to break up its business How it works: Google is offering product-level changes — for example, giving publishers the ability to set different minimum prices for different bidders in Google Ad Manager. It’s also proposing greater interoperability between Google’s tools and those of rivals, in order to give publishers and advertisers more flexibility. The company says these tweaks would resolve the European Commission’s concerns without a “disruptive break-up.” Why we care. Google’s proposed “non-disruptive” fixes could pres…

  22. Picture a chocolate company with an elaborate recipe, generations old. They ask an AI system to identify which ingredients they could remove to cut costs. The AI suggests one. They remove it. Sales hold steady. They ask again. The AI suggests another. This continues through four or five iterations until they’ve created the cheapest possible version of their product. Fantastic margins, terrible sales. When someone finally tastes it, the verdict is immediate: “This isn’t even chocolate anymore.” Aly Blawat, senior director of customer strategy at Blain’s Farm & Fleet, shared this story during a recent MarTech webinar to illustrate why 82% of marketing teams are fail…

  23. Google is preparing a new Search bidding model called Journey Aware Bidding, designed to factor in the entire customer journey — not just the final biddable conversion — to improve prediction accuracy and campaign performance. How it works: Journey Aware Bidding learns from your primary conversion goal plus additional, non-biddable journey stages. Advertisers who fully track and properly categorize each step of their purchase funnel stand to benefit the most. Google recommends mapping the entire journey — from lead submission to final purchase — and labeling all touchpoints as conversions within standard goals. Why we care. Performance advertisers h…

  24. By now, we’re all familiar with Google AI Overviews. Many queries you search on Google now surface responses through this quick and prominent search feature. But AI Overview results aren’t always reliable or accurate. Google’s algorithms can promote negative or misleading content, making online reputation management (ORM) difficult. Here’s how to stay on top of AI Overviews and your ORM – by removing, mitigating, or addressing negative content. How AI Overviews source information AI Overviews relies on a mix of data sources across Google and the open web, including: Google’s Knowledge Graph: The Knowledge Graph is Google’s structured database of …

  25. Undoubtedly, one of the hot topics in SEO over the last few months has been how to influence LLM answers. Every SEO is trying to come up with strategies. Many have created their own tools using “vibe coding,” where they test their hypotheses and engage in heated debates about what each LLM and Google use to pick their sources. Some of these debates can get very technical, touching on topics like vector embeddings, passage ranking, retrieval-augmented generation (RAG), and chunking. These theories are great—there’s a lot to learn from them and turn into practice. However, if some of these AI concepts are going way over your head, let’s take a step back. I’ll walk you…





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