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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. We’ve tested Google AI Max over the past nine months, analyzing 23 individual tests across 16 already mature advertisers operating within a range of verticals. This article reveals what we did to maximize success with this campaign type. Your experiments and observations may vary. If so, we’d welcome the debate. This is intended to be just one voice among many in the conversation around AI Max. All the analyses we discuss are replicable within your own accounts, so you can ratify or dispute the findings based on your own data. The ground rules for AI Max Before launching an AI Max test, consider several factors. Two are particularly significant: Your c…

  2. A growing share of search interactions now begins inside generative systems. Users open AI tools and ask questions the same way they’d ask a colleague: in full sentences, with context, and often across multiple follow-up prompts. Generative systems synthesize answers from sources they interpret as credible and relevant to the prompt. Visibility increasingly depends on whether a brand’s content aligns with the questions people ask AI systems, not just the keywords they type into search engines. Traditional search results haven’t disappeared. Today’s discovery environment blends ranked results, AI-generated summaries, and conversational assistants. This shift in…

  3. With AI-driven search and hyper-fragmented media channels reshaping how people discover brands, the “set it and forget it” approach to marketing measurement is officially dead. Measuring impact isn’t a static check of dashboard data. Used strategically, measurement is a virtuous cycle where data informs your ad platform settings and those settings, in turn, generate better data (and business outcomes). Here’s how to build a measurement flywheel that keeps your growth efficient. The 4-step measurement cycle Imagine a Bay Area SaaS company, PowerLoop, selling an AI-powered analytics platform. They’re investing heavily in Google Search, LinkedIn, and some eme…

  4. Google is launching Ask Maps, a conversational AI feature that lets users ask Google Maps complex, real-world questions and get personalized, actionable answers — powered by the company’s Gemini AI models. What’s new. Users can now ask Maps questions like “Is there a public tennis court with lights on that I can play at tonight?” or “My phone is dying — where can I charge it without a long wait?” and get a conversational answer with a customized map view. Key capabilities include: Personalized recommendations — Results are tailored based on your search and save history, so Maps already knows, for example, that you prefer vegan restaurants before you ask. …

  5. Do you think you’re able to answer the question every marketing leader dreads hearing from leadership: “Why isn’t our marketing effort doing more?” How do you even go about answering that? Let’s look at what I mean using a fictional location analytics company we’ll call Acme Area Analytics. The Acme team reviews its reports. Nothing appears broken. Campaigns are running, leads are still coming in, and performance metrics are mostly stable. Yet sales momentum isn’t clearly accelerating, and it’s hard to pinpoint why. Insights are scattered across site analytics, brand monitoring and SEO tools, CRM systems, and paid media dashboards. Each platform reflects p…

  6. Until a few years ago, schema helped search engines extract basic facts and display visual enhancements like star ratings and sitelinks. However, in the AI-driven search world, schema plays a different and fundamental role for local SEO, helping Google and other AI systems understand who you are, what you do, where you operate, and how confidently your information can be reused. Improving rankings isn’t as relevant. Now, schema helps reduce confusion for Google and reinforces your business as a stable, trustworthy local entity across traditional search, local packs, AI Overviews, rich results, and external AI platforms. Let’s dig into how schema helps local S…

  7. Google is reaching out directly to advertisers via email, requiring them to confirm whether their campaigns contain EU political ads — with a hard deadline of March 31st. Why we care. This isn’t optional. EU regulation now requires Google to verify political ad status across all active campaigns, and advertisers who don’t act before the deadline could face compliance issues. What’s happening. Google is asking every advertiser to declare whether their existing campaigns include EU political ads. The requirement applies to all current campaigns and must be completed by March 31, 2026. How to comply: Google has outlined three ways to submit the confirmation: …

  8. Google’s Liz Reid, VP and head of Search, drew a clearer line between Google Search and Gemini but said it’s still unclear whether the products will converge, diverge further, or be superseded. The big picture. Reid said Search is an information product focused on helping people connect with the web, while Gemini is centered more on assisting with productivity and creation. She added that the boundaries are fluid, especially as AI products evolve quickly and agentic experiences reshape how people use the internet. What she’s saying. In short, Reid said Search and Gemini share technology but have different product “north stars.” They could overlap more over time, b…

  9. AI tools now generate 45 billion monthly sessions worldwide — about 56% of search engine volume, according to a study by Graphite.io CEO Ethan Smith. The analysis combines web traffic and mobile app usage across major AI tools and estimates AI activity equals 56% of global search usage and 34% in the U.S. Much of this growth is occurring in mobile apps such as ChatGPT, Gemini, Perplexity, Grok, and Claude. Why we care. AI is expanding discovery, not shrinking search demand. Total usage across search engines and AI assistants has grown 26% globally since 2023. In other words, it’s not SEO vs. GEO — you need both LLM visibility and traditional rankings. The …

  10. If you’ve been in marketing long enough, you’ve probably lived through a few identity crises. First, we were channel experts. Then, we became integrated marketers, growth marketers, and performance marketers. Somewhere along the way, someone added “AI” to everyone’s job description and called it a day. Now, we’re entering the era of the full-stack marketer. From where I sit — particularly as a media leader — the role is starting to look a lot like product management. This doesn’t mean you need to start writing Jira tickets for fun (though some of you already do). It means that tomorrow’s most effective media leaders won’t just optimize campaigns. They’ll own outco…

  11. “Content is king” remains one of the most widely accepted ideas in SEO. Not everyone has agreed. Different schools of thought have always existed, with some practitioners prioritizing backlinks and others focusing on technical SEO. Content is often treated as the primary driver of search visibility. I’m not arguing that. My point is simpler: if you’ve relied on content to drive results — and earn a living — you should start doubling down on distribution. With AI search changing the game, creating great content (and, yes, building some backlinks) is no longer enough to get it seen. The more important question may no longer be “What should I write next?” but “W…

  12. Google Ads is rolling out auto end screens — a new feature that appends an interactive, auto-generated card to the end of eligible video ads to nudge viewers toward a conversion. How it works. An interactive screen appears for a few seconds immediately after the video finishes playing. Content is auto-populated from campaign data — app name, icon, price, and a direct install link for app campaigns End screens appear by default on eligible ads, requiring no setup from advertisers Why we care. Advertisers no longer need to manually build post-roll calls-to-action. This feature is on by default and changes the end of your video ads — and if you’ve already…

  13. Perplexity AI must stop using its Comet browser agent to make purchases on Amazon. A federal judge sided with Amazon in an early ruling over AI shopping bots. Why we care. The case targets a core promise of AI agents: completing tasks like shopping on a user’s behalf. If courts restrict how agents access sites, AI agents could face strict limits when interacting with logged-in accounts on major websites. What happened. U.S. District Judge Maxine Chesney granted Amazon a preliminary injunction Monday in San Francisco federal court. The order blocks Perplexity from using its Comet browser agent to access password-protected parts of Amazon, including Prime subsc…

  14. A good XML sitemap serves as a roadmap for your website, guiding Google to all your important pages. XML sitemaps can be beneficial for SEO, helping Google find your essential pages quickly, even if your internal linking isn’t perfect. This post explains what they are and how they help you rank better and get surfaced by AI agents. Table of contents What are XML sitemaps? Why do you need an XML sitemap? Do XML sitemaps matter for AI search? Adding XML sitemaps to your site with Yoast Frequently asked questions about XML sitemaps Check your own XML sitemap! Key takeaways An XML sitemap is crucial for SEO, as it guides search engines to your important pages, …

  15. Every few weeks, a new study drops declaring that Reddit (or YouTube, or Wikipedia) is the most important source for AI citations. Marketers share it. Clients ask about it. Someone starts drafting a Reddit strategy. Because it does. These analyses often flatten the nuance of prompt intent, model differences, and vertical context into a single headline number, and brands jump to start building strategies and teams around benchmarks that have nothing to do with their actual category or customer journey. The shiny object problem in AI search is real, and it’s getting more expensive. Tinuiti’s Q1 2026 AI Citation Trends Report (Disclosure: I’m the senior director …

  16. Google’s branded queries filter in Search Console is now available to all eligible sites. Google’s new branded queries filter, announced Nov. 20, lets you separate branded and non-branded search traffic in the Performance report. Why we care. Separating branded and non-branded queries has long required manual regex filters or keyword lists. This update gives you native segmentation in Search Console, making it easier to measure brand demand versus discovery traffic. Google’s announcement. Google confirmed the broader availability in a LinkedIn post today: “The branded queries filter in Search Console is now available to all eligible sites! This feature helps …

  17. Imagine your ideal customer going to ChatGPT and asking, “Is [BRAND] worth it?” They’re not getting a vetted list of links in response. They’re getting a synthesized answer, most likely summarizing who you are, what you’re known for, and whether you’re credible. They’ll get a confident answer to the nebulous question of assigning worth. You don’t control that summary. But it will shape their decision before they convert, possibly before they ever visit your site. This is the new reality of search. SEO has traditionally been a discovery channel: higher rankings led to more traffic, which led to more conversions. But AI-powered search experiences, from AI Overvi…

  18. Google redesigned the Asset Optimization section in Google Ads for Demand Gen campaigns, consolidating AI-powered creative controls into a single, cleaner interface. Why we care. Advertisers managing creative at scale now have a centralized panel to toggle automated features on or off — making the process less manual and time consuming. What’s new. The redesigned layout groups three key automation capabilities together: Auto-generated shorter videos — AI trims existing video assets into shorter cuts to qualify for additional placements. Automatic video resizing — Videos are adapted across multiple aspect ratios to maximize inventory coverage. Landi…

  19. If I hear “always be testing” one more time, I might scream. It was great advice in 2016. In 2026, it’s a great way to light your budget on fire. That mantra made sense when budgets were loose and platforms forgave a lot of chaos. Launch five audience tests simultaneously? Sure, why not! Swap out three creative variables at once? Go for it! But the rules have changed. Our new reality has tighter budgets, longer learning phases, and signal fragmentation everywhere. One poorly structured test can distort your performance for weeks, not days. That performance hit compounds fast. Modern experimentation is expensive and risky. Why pay that price when we have the p…

  20. Chloe Varnfield, a digital marketing specialist at Atelier Studios with nearly eight years in PPC, joined me to share the mistakes that shaped her career — and the lessons every advertiser should take from them. When Google sneaks settings past you Chloe’s first story centers on Google’s account-level automated assets setting — a feature so well hidden that many advertisers don’t know it exists until a client sends a screenshot asking why their headline looks completely wrong. The setting, buried behind a three-dot menu, defaults to on, meaning Google can automatically generate and serve headlines advertisers never wrote or approved. The takeaway: always audit your…

  21. Buying AI capabilities to drive marketing is easy. Enabling marketing teams to actually use it independently, decisively, and at scale is far harder. The main culprit? Humans. Marketing teams have always had the same elusive goal: to move at the pace of the consumer. Responding to each customer’s needs in real time, delivering the relevant message at the right moment, and optimizing customer lifetime value to drive loyalty and ROI. The goal is not new. What is perpetually new are the AI technologies available to analyze consumer data and generate instant, personalized messaging at scale. But while technology evolves rapidly, the ability of marketing teams to harn…

  22. Google is leaving the door open to advertising in its Gemini AI app, with a senior executive telling WIRED the company is “not ruling them out” — a notable shift from the flat denials made just months ago. What’s changed: In January, Google DeepMind CEO Demis Hassabis told reporters at Davos that Google had no plans to put ads in Gemini. Now, SVP Nick Fox is saying otherwise — noting that learnings from ads in AI Mode will “likely carry over” to Gemini down the road. The current strategy. Rather than rushing into Gemini, Google is using AI Mode — its Gemini-powered Search product — as a testing ground for ad formats in AI experiences. Ads are kept separate fr…

  23. Started by ResidentialBusiness,

    For years, SEO followed a fairly predictable playbook: create valuable content, optimize it for search engines, and compete for rankings on Google. But the way people discover information online is changing quickly. Tools like ChatGPT, Perplexity, and Gemini are introducing a new layer between users and search engines, where answers are generated and synthesized rather than simply retrieved. In a recent episode of the Get Discovered podcast, Joe Walsh, CEO of Prerender.io, sat down with Yoast’s Principal Architect Alain Schlesser to discuss what this shift means for SEO and online discoverability. Their conversation explores how AI answer engines are reshaping the sea…

  24. ChatGPT retrieves far more webpages than it cites. A new AirOps analysis found that 85% of discovered sources never appear in the final answer. Why we care. If you want your content cited in AI-generated answers, discovery isn’t enough. Most retrieved pages never become visible to users. Key finding. In AI answers, retrieval doesn’t equal citation. Your page can rank and be retrieved yet still lose the citation to a source that better matches the prompt or supporting context. This shifts optimization toward earning selection inside the AI synthesis process—not just appearing in search results, per the report. By the numbers: 82,108 citations appeared…





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