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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. AI search is changing how visibility works. Users are getting direct answers instead of clicking links, which means fewer chances to drive traffic. In this shift, AI citations are becoming the new gatekeepers, deciding which sources get featured in answers. Over the past year, search has moved from ranking pages to selecting sources, pushing us from traditional SEO toward AI-driven visibility. In this article, we’ll explain what AI citations are, how they work, and how you can earn them. Table of contents What are AI citations? How AI citations impact brand credibility How AI citations work: a complete breakdown Strategies to get cited by AI models Tracking AI b…

  2. Customer journeys are collapsing into a single moment of evaluation. David Edelman recently described this shift as the convergence of behaviors that used to happen separately. As decisions compress, brands need to be clearer about what they are trying to solve for the customer. Many organizations are increasing activity instead, without sharpening the underlying strategy. The shift behind the compressed journey Edelman’s argument, outlined in his March 2026 Think with Google essay, is built around a shorthand developed by Boston Consulting Group and Google: streaming, scrolling, searching, and shopping. His central insight is that generative AI has snapped…

  3. On episode 352 of PPC Live The Podcast, I spoke to Emina Demiri Watson, Head of Digital at Brighton-based Vixen Digital, where she to shared one of the most candid stories in agency life: deliberately firing a client that accounted for roughly 70% of their revenue — and what they learned the hard way in the process. The decision to let go The client relationship had been deteriorating for around three months before the leadership team made their move. The decision wasn’t about the client being difficult from day one — it was a relationship that had slowly soured over time. By the end, the toxic dynamic was affecting the entire team, and leadership decided culture h…

  4. Google updated both its image SEO best practices and Google Discover help documents to clarify that Google uses both schema.org markup and the og:image meta tag as sources when determining image thumbnails in Google Search and Discover. Image SEO best practices. Google added a new section to the image SEO best practices help document named Specify a preferred image with metadata. In that section, Google wrote: “Google’s selection of an image preview is completely automated and takes into account a number of different sources to select which image on a given page is shown on Google (for example, a text result image or the preview image in Discover).” Here is ho…

  5. What do conversion rate optimization (CRO) and findability look like for an AI agent versus a human, and how different do your strategies really need to be? More and more marketers are embracing the agentic web, and discovery increasingly happens through AI-powered experiences. That raises a fair question: what does CRO and findability look like for an AI agent compared with a human? Several considerations matter, but the core takeaway is clear: serving people supports AI findability. AI systems are designed to surface useful, grounded information for people. Technical mechanics still matter, but you don’t need entirely different strategies to be findable or to im…

  6. Every year, Google suspends tens of millions of Google Ads accounts for advertising policy violations. One specific policy area that confuses many legitimate advertisers is Google’s “three-strikes” system. Essentially, if Google decides your account has repeatedly violated any of 15 specific Google advertising policies, you’re at risk for temporary (and potentially permanent) suspension of your Google Ads account. To help you prevent a single policy issue from snowballing into a full account suspension, here’s how Google’s three-strike system works and what you should do at every stage to keep your ads running. Case study: Appealing a Google Ads strike Over…

  7. Google’s AI Mode is increasingly citing Google itself — and often sending users back to another Google search, according to new SE Ranking research. Why we care. AI search is meant to surface the best sources on the web. If Google increasingly cites itself, you may see fewer direct links and less traffic as more users stay inside Google. The details. Google.com was the most cited source in AI Mode answers, accounting for 17.42% of all citations, SE Ranking found. That makes Google.com the most referenced domain — more than the next six domains combined: YouTube, Facebook, Reddit, Amazon, Indeed, and Zillow. Accelerating trend. In June 2025, Google cited i…

  8. For many advertisers, a 30-day click attribution is the default conversion window setting in Google Ads. Once that’s set, it’s rarely revisited. But what if your customers convert within a week, or even two days? One of my clients, a DTC retailer in an intensely competitive industry, has an average conversion window of 2.2 days. Yet we were optimizing campaigns using a 30-day click window, which meant conversions were credited weeks after the initial interaction. This muddied the waters when assessing the true incremental impact of different advertising efforts, especially when trying to capture that impulse-buying behavior. With that in mind, we transitioned the …

  9. Google is doubling down on the infrastructure behind “agentic commerce,” introducing new capabilities to its Universal Commerce Protocol (UCP) while making it easier for retailers to plug in. Google says UCP — its open standard for connecting retailers to AI-powered shopping experiences — is getting new features designed to make online buying feel more like a traditional storefront, even when handled by automated agents. What’s new. The latest updates focus on making shopping via AI agents more functional and flexible. A new cart capability allows agents to add or save multiple products from a single retailer in one go, mirroring how a typical shopper builds …

  10. As AI agents reshape how advertising platforms are used, Google is bringing focus toward the developers behind the systems and create content specifically for them. What’s happening. Google’s Advertising and Measurement Developer Relations team has launched Ads DevCast, a bi-weekly vodcast and podcast hosted by Cory Liseno. The show focuses on technical deep dives across Google Ads, Google Analytics, Display & Video 360 and related tools. Zoom out. This is a companion to Ads Decoded, hosted by Google Ads Liaison Ginny Marvin, which focuses on campaign strategy. Ads DevCast is explicitly built for developers and technical practitioners. Driving the news. E…

  11. Refreshing creatives for every seasonal moment just got significantly faster — Google has quietly launched Asset Group Theming inside Performance Max, letting advertisers apply seasonal themes to existing asset groups without rebuilding from scratch. How it works. Advertisers can clone a high-performing asset group and apply a theme — Google then generates themed image variations and suggests aligned headlines and descriptions, while leaving the original asset group completely untouched for safe testing. Available themes cover. Promotional: Sale, Studio/Editorial Seasons: Winter, Spring, Summer, Fall Cultural moments: Christmas, Black Friday/Cyber M…

  12. Technical SEO extends beyond indexing to how content is discovered and used, especially as AI systems generate answers instead of listing pages. For generative engine optimization (GEO), the underlying tools and frameworks remain largely the same, but how you implement them determines whether your content gets surfaced — or overlooked. That means focusing on how AI agents access your site, how content is structured for extraction, and how reliably it can be interpreted and reused in generated responses. Agentic access control: Managing the bot frontier From a technical standpoint, robots.txt is a tool you already use in your SEO arsenal. You need to add the…

  13. Most guidance on optimizing for AI still focuses on how content is written. But AI systems don’t read content the way humans do. These systems extract information, break it into parts, and reuse it in new contexts. What matters is whether your content can be pulled into an AI-sourced answer cleanly. Where traditional SEO has centered on ranking pages, AI systems prioritize retrievable units of meaning. That changes how content needs to be built: From pages → passages From narratives → modular blocks From keywords → structured intent The shift is structural: Content that performs well in this environment is designed to be extracted, recombined, and attr…

  14. Human-written content dominates Google’s top rankings, appearing in the No. 1 position 80% of the time versus just 9% for purely AI-generated pages, based on a Semrush analysis of 42,000 blog posts. The details. Semrush analyzed 20,000 keywords and their top 10 results, classifying content with an AI detector. Human-written pages outperformed AI and mixed content across all top 10 positions. The gap was widest at Position 1, where human content was 8x more likely to rank. AI content appeared more often lower on Page 1, nearly doubling from Positions 1 to 4. Yes, but. AI detection tools are widely known to be inconsistent and can misclassify human and AI…

  15. Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 million users each week, and Perplexity processes hundreds of millions of queries every month. Getting found online is no longer just about ranking on Page 1. It’s about being the source AI engines cite when they generate an answer. That’s the job of generative engine optimization (GEO) — and in 2026, it’s no longer optional. This guide shows you how to build, execute, and measure a GEO strategy that actually works. What is GEO — and why 2026 is the tipping point …

  16. Meta is updating its ad measurement framework, aiming to simplify attribution in what it calls a “social-first” advertising world. What’s happening. Meta is narrowing its definition of click-through attribution for website and in-store conversions. Going forward, only link clicks — not likes, shares, saves or other interactions — will count toward click-through attribution. The change is designed to reduce discrepancies between Meta Ads Manager and third-party tools like Google Analytics. Between the lines. Social media has overtaken search as the world’s largest ad channel, according to WARC, but many attribution systems were built for search-era behaviors. O…

  17. AI recommendations are inconsistent for some brands and reliable for others because of cascading confidence: entity trust that accumulates or decays at every stage of an algorithmic pipeline. Addressing that reality requires a discipline that spans the full algorithmic trinity through assistive agent optimization (AAO). It also demands three structural shifts: the funnel moves inside the agent, the push layer returns, and the web index loses its monopoly. The mechanics behind that shift sit inside the AI engine pipeline. Here’s how it works. The AI engine pipeline: 10 gates and a feedback loop Every piece of digital content passes through 10 gates before it…

  18. John Mueller from Google said you can block a complete TLD, top-level-domain, using the link disavow tool. He said it is not something Google documents because “Given how big of a hammer it is, I don’t know if it’s something we should really suggest in the docs.” How does it work. All you need to do is use the syntax “domain:abc” in the disavow file. John posted this one Bluesky saying: “If you’re sure that it’s what you want to do, you can use “domain:abc” in the disavow file. Keep in mind that you can’t carve out specific domains if you like some, but if you find the TLD is almost only annoying spammers, it’ll save you time.” He later added: “Given ho…

  19. Visibility is no longer just about ranking. It depends on whether your content is discovered, evaluated, and selected in AI-driven search experiences. We’re kicking off our new monthly SMX Now webinar series on April 1 at 1 p.m. ET with iPullRank’s Zach Chahalis, Patrick Schofield, and Garrett Sussman on how you must adapt. The session introduces iPullRank’s Relevance Engineering (r19g) framework for executing Generative Engine Optimization (GEO) through an omnichannel content strategy. You’ll learn how AI search uses query fan-outs to discover and select sources, and how to structure content so it’s retrieved, surfaced, and cited. It also emphasizes that GEO…

  20. Small publishers are seeing sharp traffic declines from AI search experiences, according to new data from thousands of global sites using Chartbeat analytics. The details. Publishers with 1,000 to 10,000 daily pageviews lost 60% of search referral traffic over two years, Chartbeat found. Mid-sized sites with 10,000 to 100,000 daily pageviews lost 47%. Large publishers with more than 100,000 daily pageviews were down 22%. Reality check. AI referrals aren’t replacing lost search traffic. Google Search pageviews fell 34% year over year. Google Discover dropped 15%. ChatGPT referrals rose 200% but still account for less than 1% of total traffic. …

  21. The Visibility Governance Maturity Model (VGMM) is about something most SEO programs lack: clear ownership, documented processes, and decision rights that keep your work from being undone by teams who don’t understand it. So how do you actually score that? Each domain uses a bank of governance questions tailored to the business. They’re not about how SEO is executed. They’re not about tools. And they’re not an audit. What VGMM questions are designed to reveal VGMM questions go to managers and the C-suite — the people who should know about governance but often don’t. Meanwhile, you (the SEO practitioner) actually know whether standards are documented, wheth…

  22. You could be ranking in Position 1 and still be completely invisible. I know that sounds counterintuitive. But here’s what’s actually happening: A potential customer opens ChatGPT or Perplexity and asks, “What’s the best [tool/agency/platform] for [your category]?” Your competitor gets mentioned. You don’t. Your No. 1 ranking did absolutely nothing to help you. This is the new SEO reality, and it’s catching many smart marketers off guard. LLMs synthesize consensus across multiple sources, rather than relying on a single source. This means you need corroborating mentions distributed across the web. The game has shifted from ranking to consensus, and if y…

  23. Google is testing AI-generated headline rewrites in Search results, describing it as a small, narrow experiment for now. What’s happening. Google confirmed to The Verge (subscription required) that it’s testing AI-generated titles in traditional Search results, not just Discover. The test is “small” and “narrow,” and not approved for broader rollout. It impacts news site but isn’t limited to them. The goal is to better match titles to queries and improve engagement, Google said. One example showed Google replacing original headlines with shorter or reworded versions, sometimes changing tone or intent (e.g., reducing “I used the ‘cheat on everything’ AI …

  24. AI search citations favor a small set of formats. Listicles, articles, and product pages drive over half of all mentions across major LLMs, according to new Wix Studio AI Search Lab research analyzing 75,000 AI answers and more than 1 million citations across ChatGPT, Google AI Mode, and Perplexity. The findings. Listicles led at 21.9% of citations, followed by articles (16.7%) and product pages (13.7%). Together, these three formats made up 52% of all AI citations. Articles dominated informational queries, cited 2.7x more than other formats. Listicles captured 40% of commercial-intent citations, nearly double any other type. Why intent wins. Query intent…

  25. Does schema markup really benefit AI search optimization? Some suggest it can 3x your citations or dramatically boost AI visibility. But when you dig into the evidence, the picture is far more nuanced. Let’s separate what’s known from what’s assumed, and look at how schema actually fits into an AI search strategy. How schema fits into AI search now Search is shifting from surfacing a SERP with blue links to AI Overviews, generative answers, and chat‑style summaries that collate content in addition to links. To get your content to appear in this model, your site has to be understood as entities — singular, unique things or concepts, such as a person, place,…





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