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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. Fact: Agentic AI is making humans indispensable. More than 40% of agentic AI projects will be canceled by the end of 2027. That is a prediction from Gartner published in June 2025, based on a poll of more than 3,400 organizations actively investing in the technology. The reason cited is not that the agents do not work. It is that the humans deploying them are making the wrong decisions. “Most agentic AI projects right now are early-stage experiments or proof of concepts that are mostly driven by hype and are often misapplied,” according to Anushree Verma, senior director analyst at Gartner. Organizations are deploying agents without a clear strategy, without unde…

  2. Started by ResidentialBusiness,

    Each month, we host an SEO update covering the latest in search and AI. During this month’s edition, our SEO experts Carolyn Shelby and Alex Moss, cover everything from the latest advances in Agentic AI to Google’s spam and core updates and why simply publishing more content is no longer enough and in many cases actively works against you. Read this recap for the highlights or watch the April 2026 SEO Update by Yoast to delve into the latest news. Watch the full recap on YouTube to dive deeper into these topics, hear some examples and hear the answer to audience questions. SEO and AI news from April 2026 Google introduces new AI agent signals and infrastructu…

  3. Started by ResidentialBusiness,

    The March 2026 core update brought what Google describes as a design “to better surface relevant, satisfying content for searchers from all types of sites.” This confirms the simplest truth in search: people use Google to get answers. Whether it’s solving a problem, learning something new, or making a decision, searchers want content that is genuinely helpful in their busy, on-the-go lives. If your content does that, it succeeds. If it doesn’t, no amount of SEO tricks, hacks, or magic bullets will get your content to show up on page one, let alone in AI Overviews. How modern search systems surface helpful content AI Overviews went from appearing for just 6.49%…

  4. Ranking and visibility are no longer the same thing. For 20 years, SEO teams optimized for SERP position. Higher rankings meant more visibility, more clicks, and more traffic. That relationship is breaking down. Earlier this year, Ahrefs found that only 38% of pages cited in Google AI Overviews also ranked in the traditional top 10. Eight months earlier, that number was 76%. The implication is straightforward: being highly ranked no longer guarantees being seen. In AI-generated answers, visibility is determined by inclusion — and by how your brand is represented when it appears. That representation is determined by a different set of signals. How visib…

  5. Internal linking is one of the most controllable levers in technical SEO. But when tracking parameters are embedded in internal URLs, they introduce inefficiencies across crawling and indexing, analytics, site speed, and even AI retrieval. At scale, this isn’t just a “best practice” issue. It becomes a systemic problem affecting crawl budget, data integrity, and performance. Here’s how to build a case study for your stakeholders to show the side effects of nuking tracking parameters in internal links — and propose a win-win fix for all digital teams. How tracking parameters waste crawl budget Crawl budget is often misunderstood. What matters isn’t the v…

  6. SEO sits at an interesting crossroads. One camp insists on optimizing for large language models (LLMs) and AI engines, and the other insists on doing SEO the same way we’ve always done it. But there’s another way to approach it: combining the fundamentals of SEO with an understanding of how LLMs operate and why. With this approach, you can keep what’s always worked — like on-page SEO and backlinks from reputable sources. Yet you can also look ahead to new tactics, such as optimizing for query fan-out and emerging prompt intents. Since 2023, and the rise of tools like ChatGPT, Gemini, Claude, and Perplexity, I’ve been researching how AI engines display search r…

  7. In November 2024, with SE Ranking’s research team, we began a 16-month experiment to test how AI-generated content performs in organic search. We launched 20 websites across different niches and tracked their performance over time. But we didn’t stop there. We wanted to look beyond rankings and understand how AI systems discover, interpret, and cite information. So we expanded the project into a more ambitious set of experiments on AI search and LLM visibility. For the next phase, we created a new fictional brand in a real niche with real competition to see how quickly AI systems would pick it up and whether it could be cited alongside or above trusted industr…

  8. Ask any paid search manager who has tried to get an AI agent to do something genuinely useful with a Google Ads account and you will hear a version of the same story. They exported performance data, pasted it into a chat window, got a solid answer, and then did the exact same thing the next day. Exporting, pasting, repeating — that isn’t automation. That’s the same manual work you were doing before, performed in a different window. The AI tools are not the problem. Any of the major ones can do solid analysis when the right data is in front of them. The problem is getting that data to them live, current, and without a human in the middle copying it across. It’…

  9. For more than two decades (nearly as long as I’ve been in SEO), backlinks have been core to SEO. Google’s PageRank changed search by using backlinks as a proxy for trust. A link wasn’t just a pathway; it was a vote. The more votes you had and the more authoritative the voters were, the higher you ranked. But as Google and AI systems matured, entity-based understanding emerged. AI models became better at understanding content, context, and credibility without always needing a hyperlink as a crutch. Today, visibility isn’t driven solely by links. It’s strengthened by the broader signals your brand has earned: how often it’s mentioned, cited, and trusted across …

  10. AI may not see your brand the way you think it does, according to Scott Stouffer, co-founder and CTO at Market Brew. Brands still publish content, optimize pages, build authority, and follow SEO best practices. But that may not be enough anymore. Search has moved away from a simple battle over keywords, links, and page-level signals. It’s now shaped by meaning, intent, embeddings, and retrieval, Stouffer said during his SEO Week presentation. In legacy SEO, a page could rank lower and still exist in the search results. In AI-driven systems, the first question isn’t whether you rank. It’s whether you’re ever retrieved. “If you’re not retrieved, you do not …

  11. Google is doubling down on AI-driven ads just as search behavior shifts toward conversational queries, giving advertisers more automation while trying to preserve control. What’s new. AI Max expands beyond Search: Now rolling out to Shopping campaigns and travel-specific formats, broadening reach across more advertiser types. AI Brief (powered by Gemini): A new interface that lets advertisers steer AI using natural language inputs. Text disclaimers + URL automation: Compliance-friendly updates to pair with automated landing page selection. Why we care. Google is making AI Max a core layer across Search, Shopping and Travel, meaning automa…

  12. I keep hearing people say AI understands their brand. It doesn’t. Let’s get that out of the way first. What it does is pattern-match at scale. It compresses your positioning, product, proof, and tone into a bundle of signals it can retrieve and remix at speed. Those patterns come from two places: Training: What the model absorbed historically. Retrieval: What it can fetch at answer time from the live web and other sources. So “AI SEO” isn’t a new channel. It’s a new representation problem: which version of your brand gets encoded, retrieved, and repeated. Most brands are already in the game. They’re just not playing with purpose. The internet i…

  13. Across 90 prompts we tested in ChatGPT, commercial prompts triggered web searches 78.3% of the time. Informational prompts did so just 3.1%. That gap changes what you should write if you want to appear in a ChatGPT answer. ChatGPT doesn’t pull every response from the same place. Some answers come from training data; others use live web search — a behavior called query fan-out. The model expands your prompt into multiple background searches, then retrieves and synthesizes across those subtopics. If your page isn’t on those branches, it won’t be pulled in. So the question is no longer just how to rank. It’s which pages open the fan-out door in the first place. …

  14. The difference between a 2% margin and a 20% margin increasingly comes down to whether you’re renting attention or owning the answer. For years, search rewarded the ability to buy visibility. That model is weakening. As AI systems increasingly resolve queries without a click, the value shifts from traffic acquisition to answer formation. When you move from buying clicks to engineering answers (i.e., structuring content so it can be surfaced, cited, and trusted by AI systems), you change what you own. Instead of renting placement, you build answer equity: durable inclusion in the outputs that shape decisions. The goal isn’t to turn off paid search. It’s to…

  15. Google’s Preferred Sources now supports all languages, not just the English language. “Preferred Sources is now rolling out globally in all supported languages,” Google wrote on its blog this morning. “This feature gives you more control over the news you see on Search by letting you choose the outlets and sites you want to appear more often in Top Stories,” Google added. In December, Google rolled out preferred sources globally but it only supported English. Now it supports all languages globally as well. Stats. Google added some interesting data including: “Readers are twice as likely to click through to a site after marking it as a Preferred Source”…

  16. Reddit is quickly becoming a powerful platform shaping how people discover and perceive brands. As AI search engines increasingly surface Reddit threads and comments, these conversations now influence visibility. To understand this shift, I analyzed 117 SaaS brands on Reddit. People reveal what they really think there, which doesn’t always match polished marketing. As communities shape brand perception, Reddit is no longer optional. Here’s my analysis, plus how you can use Reddit to your advantage. How I analyzed 117 SaaS brands: The methodology My analysis of 117 brands across the SaaS industry started with identifying the verticals to address: Pr…

  17. Google is filling a key measurement gap between awareness and consideration, giving advertisers a clearer view of how their brand is actually perceived — not just remembered. What’s new. Google Ads has introduced a new “Association” metric within Brand Lift Studies. Advertisers can define a concept, category or attribute, and Google will ask users a survey-style question: which brands they associate with that specific idea. How it works. Instead of measuring simple recall, the metric evaluates whether audiences connect your brand to a desired positioning. That could mean “premium,” “sustainable,” or even a product category — offering a more nuanced read on brand p…

  18. Google is trying to simplify one of its most complex products, helping advertisers and analysts get more value from Google Analytics without deep technical expertise. What’s new. Google Analytics is rolling out Task Assistant, a guided workflow tool that surfaces tailored recommendations to improve property setup, data collection and reporting. How it works. Available in the left-hand navigation, Task Assistant organizes recommendations into clear categories like connecting accounts, enhancing reporting and fixing data issues. Users can mark tasks as complete as they go or skip items that don’t align with their business goals, creating a more flexible setup experi…

  19. The trial is live, limited to the U.S. for now, and moving faster than you likely expected. ChatGPT ads launched Feb. 9 for logged-in users on Free and Go tiers, with 600+ advertisers already in. With 800 million weekly active users, a global rollout of ChatGPT ads is a matter of when, not if. OpenAI has confirmed the next expansion to Australia, New Zealand, and Canada. The latest update from Adthena trialists suggests the UK could see ads as early as mid-May. We’ve tracked ChatGPT ad placements since rollout. With an index of 50,000+ daily placements across B2B software, ecommerce, fintech, and consumer verticals, we’ve had a front-row view of how this for…

  20. Programmatic SEO (pSEO) has been viewed with suspicion by the market. For many SEOs, the term is synonymous with low-quality pages, duplicate content, and the old tactic of “find and replace” city names in static templates. Google’s spam policies on scaled content abuse are clear: generating vast amounts of unoriginal content primarily to manipulate search rankings is a violation. Modern pSEO replaces mass page generation with an infrastructure that answers thousands of specific search intents with local nuance and semantic depth at a scale that isn’t possible manually. This blueprint shows how to evolve from syntax-based pSEO (swapping keywords) to semantics-…

  21. Over the past few years, Performance Max has gone from an opaque experiment to a more capable — though still imperfect — campaign type for B2B marketers. The fundamentals haven’t changed: skepticism still matters, first-party data is critical, experimentation is non-negotiable, and actionable reporting drives optimization. What has changed is how much better Google has gotten at operationalizing those inputs. That means your Performance Max strategy needs to adapt. Here are five best practices for running more effective PMax campaigns for B2B today. 1. Guide AI with the right inputs In 2022, given the automated nature of PMax campaigns and the aggressive wa…

  22. I’ve built 10+ SEO agent skills in 34 days. Six worked on the first try. The other four taught me everything I’m about to show you about the folder structure most LinkedIn posts about AI SEO skills gloss over. What makes these agents reliable isn’t better prompts. It’s the architecture behind them. Here’s how to build an agent from scratch, test it, fix it, and ship it with confidence. Why most AI SEO skills fail Here’s what a typical “AI SEO prompt” looks like on LinkedIn: You are an SEO expert. Analyze the following website and provide a comprehensive audit with recommendations. That’s it. One prompt. Maybe some formatting instructions. The person post…

  23. Google is enforcing a hard cutoff for older API versions, meaning advertisers and developers who don’t upgrade risk losing access to critical campaign management tools. What’s happening. Google Ads API v20 will officially sunset on June 10, 2026. From that date onward, all requests to v20 will fail, requiring migration to a newer version to maintain uninterrupted API access. Why we care. If you rely on the Google Ads API and don’t upgrade in time, automated workflows — including reporting, bidding and campaign management — could suddenly stop working. This could lead to data gaps, performance issues and operational disruption. Migrating early ensures continuity an…

  24. Microsoft Advertising is expanding its Performance Max reporting with publisher-level conversion and spend data — giving advertisers more visibility into where results are actually coming from What’s happening. According to Microsoft Ads Product liaison Navah Hopkins, the PMax Website Publisher URL report now includes conversion and spend metrics, moving beyond basic placement visibility into actionable performance data. This gives advertisers clearer insight into which placements are driving real outcomes — not just impressions or clicks. Why we care. This update gives advertisers visibility into which placements are actually driving conversions and spend…

  25. Ask.com, formerly Ask Jeeves, which launched 29 years ago on June 3, 1996, before Google launched, shut down on May 1, 2026. Ask.com now has a turn down page that reads: Every great search must come to an end. As IAC continues to sharpen its focus, we have made the decision to discontinue our search business, which includes Ask.com. After 25 years of answering the world’s questions, Ask.com officially closed on May 1, 2026. “To the millions who asked…” We are deeply grateful to the brilliant engineers, designers, and teams who built and supported Ask over the decades. And to you—the millions of users who turned to us for answers in a rapidly changing world—t…





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