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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. Google also announced new search agents, including information agents and new agentic capabilities within Google Search. The information agent will continue to scan the web to find and monitor changes to your tasks and help you along your tasks journey. “We’re entering the era of Search agents, where you can easily create, customize and manage multiple Al agents for your many tasks, right in Search,” Liz Reid, the head of Google Search said. Information agents. The information agents will help you stay on top of your questions and tasks. Google said the agent will “intelligently look across everything on the web, like blogs, news sites and social posts, plus our…

  2. Google announced its latest and greatest AI model, Gemini 3.5 Flash today at Google I/O. Google’s head of Search, Liz Reid, said Gemini 3.5 Flash is Google’s “newest Flash model delivering sustained frontier performance for agents and coding.” She added that is now being used to power AI Mode globally. Gemini 3.5 Flash. Not only is Gemini 3.5 Flash powering AI Mode in Google Search, but it is also powering the Gemini app, for all users, not just paid users. For developers, 3.5 Flash is now live in Google Antigravity, Gemini API for Google AI Studio and Android Studio and for enterprise users for Enterprise Agent Platform and Gemini Enterprise. Koray Kavukcuogl…

  3. Google unveiled the biggest change to its search box in 25 years. It is calling the new search box the “Intelligent Search box.” The new search box aims to bring easier access to the AI search features in Google Search to Google’s users. And yes, this is all powered by the latest Gemini release, Gemini 3.5 Flash. What it looks like. Google redesigned this search box to give searchers more space to ask longer, deeper queries. The search box will continue to expand as the user enters the query or prompt. There is an AI-powered suggestion that Google’s Head of Search, Liz Reid, said “goes beyond autocomplete.” Plus, you can search with text, images, files, vi…

  4. The question I get asked most in 2026 is: How do we measure this? How do we measure whether our brand is showing up in ChatGPT? How do we measure whether Perplexity is recommending us? How do we measure whether the work we did last quarter on grounding for AI Mode moved the needle? Nobody has solved this. Anyone selling you a clean dashboard for tracking presence in grounding, visibility in display, or action at won across search, assistive, and agent simultaneously is selling you a snapshot view that amounts to a bad best guess. The standard advice is “track these queries that we think people might ask,” or “track these queries that are a best-g…

  5. AI offers a conversational experience. We use LLMs through chatbots. But no one has yet looked at how citations and mentions evolve in a conversation. I analyzed data from the Semrush AI Visibility Toolkit to review 20 buyer journeys across four different verticals to compare high vs. low reasoning for ChatGPT5.2. View embedded content In this analysis: Why high reasoning cites a nearly different web (only 25.6% domain overlap with minimal) and which source types gain or lose ground. Why TOFU content has a payoff again: Grands cited at the Problem stage are more likely to persist all the way to Selection under high reasoning, and never under minimal. …

  6. For a long time, SEO reporting revolved around dashboards. When a meeting was on your schedule, you’d spend your day preparing by exporting data from Google Search Console, cleaning it in spreadsheets, and layering charts into Data Studio. Now, AI coding agents are changing that workflow. Instead of the manual work that would previously take hours, you can use tools like Claude Code to surface customized data with polished visuals in just minutes. Here’s how to turn Google Search Console data into custom reports and speed up your reporting workflow. What Claude Code can do with GSC data Claude Code isn’t the same as using Claude in a browser tab. The sta…

  7. By now, you’ve heard the doom and gloom. In April, Verizon CEO Dan Schulman warned that AI could push U.S. unemployment to 20%-30% over the next two to five years. Anthropic CEO Dario Amodei has warned that AI could wipe out half of entry-level white-collar jobs within five years. Ford CEO Jim Farley has said AI could replace “literally half” of white-collar workers in the U.S. SEO is a white-collar job. So does that mean our jobs will be eliminated, too? The answer isn’t as obvious as you might think. Yes, the world is changing. But if you’ve been doing SEO for a while, you should be used to that by now. SEOs have always been forced to wear str…

  8. Large language models (LLMs) excel at synthesizing enormous amounts of information into personalized responses to plain-language prompts. These responses draw on massive training datasets and are often enhanced with internet searches. The fastest way to influence what LLMs say about your brand is to influence the content they retrieve through those searches. At Evertune Research, we use the Evertune AI marketing platform to track hundreds of brands across 250 categories across every major LLM. This gives us clear insight into which content AI models cite most often, especially when users ask for brand or product recommendations across industries. For this analysis…

  9. You prompt ChatGPT with something, and suddenly your brand name shows up in the response. Sounds like a win, right? But before you share the screenshot with your team, there’s one important question to ask: Is your brand being cited or mentioned? As AI search and LLM-driven discovery continue to grow, understanding the difference between AI brand mentions and AI citations is becoming increasingly important for SEO and brand visibility. In this article, we’ll break down what AI brand mentions are, how they work, and how they differ from citations. Since we know you’re excited to celebrate your AI visibility win, let’s get straight into it. Table of contents W…

  10. Advertisers are paying more for clicks in Google Ads — but they’re also getting better at turning those clicks into conversions, according to new benchmark data from WordStream by LocaliQ. The 2025 benchmark report, based on more than 16,000 campaigns, found the average Google Ads cost-per-click (CPC) rose to $5.42, up from $4.66 the previous year. CPCs increased in 87% of industries analyzed. At the same time, average conversion rates climbed to 8.18%, suggesting advertisers are getting more efficient even as traffic becomes more expensive. Why advertisers should care. The latest benchmarks reinforce a growing reality in paid search: cheap traffic is dis…

  11. AI search measurement in 2026 looks a lot like paid media in 2008. Everyone can see the impressions. Almost nobody can defend the revenue. Agencies are slapping AI visibility dashboards onto retainers, clients are writing checks, and CFOs are starting to ask the question that always ends a hype cycle: Prove it. Here’s the hard truth. Citation share, presence rate, and AI Overview appearance counts are the new domain authority. They look defensible in a slide. For 95% of the agencies selling them, they aren’t connected to pipelines in any rigorous way. What I lay out below is a five-layer framework for measuring GEO performance that you can actually defend. No…

  12. Watch this video on YouTube Frederick Vallaeys’ route into PPC started with a student side hustle, not a career plan. While at Stanford in 1998, he spotted a resale opportunity in used Blockbuster video cassettes and needed a way to find buyers. That led him to GoTo, an early search engine where advertisers could bid on keywords – and gave him his first glimpse of the power of paid search. More than 20 years later, Vallaeys has become one of the best-known voices in PPC, a former Googler, one of the early builders in the Google Ads ecosystem, and founder of Optmyzr. In this interview, he looks back at the early days of Google Ads, how automation changed e…

  13. Running SEO and GEO/AEO audits is an excellent use case for AI, especially with recent models that have agentic capabilities. These models have extensive knowledge bases and can perform multistep processes, such as extracting webpages, reviewing data, and formulating recommendations. But before running your SEO or GEO/AEO audit in Claude or ChatGPT, have you considered whether the model has everything it needs to provide a good response? You might be shocked to discover that state-of-the-art models provide detailed recommendations without the most basic information, including Google SERPs, keyword volumes, or even the ability to fetch URL content. For example: …

  14. What differentiates a great SEO professional from a good one is often their ability to manage stakeholders effectively. This is especially true in technical SEO, where projects often depend on multiple teams, and it can be difficult to communicate the need for implementation. Stakeholder management typically comes down to one thing: the perceived value of the work. With technical SEO, that can be hard to establish. Non-SEOs are unlikely to inherently understand the value of improving a website’s internal linking architecture or implementing schema markup. The most effective technical SEO initiatives aren’t framed only as SEO improvements. They’re directly tied to …

  15. Anyone who’s been following me on LinkedIn or X has seen my smartass responses to people making some of the dumbest claims imaginable. “100% automate your SEO.” “Fully automate your content calendar.” “Run your business with AI while you sleep.” At this point, I’m just waiting for AI to start doing my dishes. (Please be true.) But jokes aside, there’s something deeper going on here that’s worth talking about. View embedded content LLM: Looting, lying, manipulating I was talking with a good buddy, Rob Wormley, a great GTM consultant, about the state of AI. Like most conversations right now, it started with a discussion of the cool things w…

  16. For most of modern marketing history, the operating assumption was surprisingly theatrical. Brands performed. Consumers watched. Channels existed primarily to distribute persuasion more efficiently than the next company. Even performance marketing, for all its mathematical confidence, still revolved around a fundamentally human premise: somewhere on the other side of the screen sat a person making a series of reasonably linear decisions. That model is beginning to fracture. Not because consumers disappeared. Because software started participating in the decision-making process and now marketers need to take notice. Recommendation systems already shape disc…

  17. Watch this video on YouTube In a recent PPC Live podcast conversation, Dean Kadi, Head of Paid Growth at One Link Media, shared a real-world agency experience where a client insisted on replacing high-performing Meta ads with heavily branded creative — despite clear evidence that the existing strategy was delivering strong results. The discussion highlights the tension agencies often face between expertise and client preference, while offering valuable lessons on communication, testing, tracking, and why data should always lead decision-making in PPC. The campaign was performing exceptionally well Dean Kadi and his team at One Link Media built a highly success…

  18. Google has published a new guide on how to optimize for Google’s generative AI features, like AI Mode, AI Overviews and more. A lot of this content is put together from previous communication from Google but all in a neat new help document named Optimizing your website for generative AI features on Google Search. What’s in the document. The document covers the following topics: SEO is relevant for generative AI search, follow Google’s best practices for SEO. Create valuable, non-commodity content for your audience Provide a unique point of view Create non-commodity content that’s helpful, reliable and people-first Organize content in a way that helps yo…

  19. Google is phasing out offline conversion imports through the Google Ads API for some developers starting June 15th. Advertisers and martech providers that rely on offline conversion imports, including enhanced conversions for leads, will need to migrate workflows to the Data Manager API to avoid disruptions. Details. Google notified developers that offline conversion imports using the UploadClickConversions request will stop working after June 15, for accounts that have not used the functionality in the last 180 days. The change applies to offline conversion imports and enhanced conversions for leads. Other Google Ads API operations will continue functioning n…

  20. We spent six months testing custom visual assets across 47 articles on a client’s high-traffic accounting education website to find out which design investments actually improved SEO performance. The experiment included featured images, infographics, and video across both new and existing content. Some visual assets consistently increased organic traffic. Others turned out to be a poor use of time and budget despite requiring far more production effort. The goal wasn’t to prove that any image helps. Basic visuals are already table stakes. Instead, the focus was on the ROI of bespoke design and which visual assets consistently improved organic traffic. The clea…

  21. Microsoft has rolled out the Citations dashboard within Microsoft Clarity, the analytics tool. Microsoft announced, “With this release, Citations in Microsoft Clarity moves into general availability with those refinements incorporated into the product.” This should give you access to see how well your pages are performing within AI-experiences. Citations dashboard. The Citation dashboard shows how your content is referenced in AI-generated answers across supported AI experiences by summarizing and aggregating citation activity across the following areas: Page citations: The total number of times pages from your domain were referenced in AI-generated answers d…

  22. If you’ve searched for almost any product on Google recently, you’ve seen how much the results page has changed. Product packs and scrollable carousels of individual listings now appear multiple times on a single results page. We’re constantly evaluating data to understand how to scale ecommerce visibility. We’ve tracked searches that returned 60 individual organic product listings on a single page. These are premium placements — and for a growing share of commercial searches, they’re where the purchase journey begins. This shift is happening gradually enough that many brands haven’t fully recalibrated their strategy around it. The data suggests i…

  23. New technologies come and go. Early in my career, I often chased shiny new things in an attempt to be on the cutting edge, but it didn’t take more than a few years to realize I was spending countless hours of my time, and my clients’ time, implementing technologies and techniques that went by the wayside. Google Authorship, anyone? It turns out that if you simply wait for wider — but still early — adoption, learn from the first movers’ mistakes, and catch up quickly, you can avoid wasting time and create greater value for yourself and those you serve. That lesson has served me well. And then there are those key moments where the early movers stand to not just win …

  24. Most law firms follow the same trajectory with SEO. They invest in content, build out service pages, refine their technical foundation, and align their site to targeted keywords. Early on, the results are there. But firms often don’t realize they’ve hit the ceiling on their SEO strategy. They just feel it. Rankings stall, growth slows, and the default response is almost always to do more: Publish more content, target more keywords, make more incremental optimizations. However, for firms already investing in SEO, the problem likely isn’t effort or execution. It’s that their strategy is missing the layer that actually drives sustained visibility. SEO still is…

  25. Forecasting SEO performance means estimating future outcomes from historical data. But search behavior rarely follows stable or linear patterns. Seasonal demand, anomalies, SERP changes, and measurement issues can all distort your data and lead to unreliable forecasts. That makes forecasting more complex than running linear regression, exponential smoothing, or asking an LLM to project trends from historical performance. Here’s how to account for seasonality, detect anomalies, and build more reliable SEO forecasts in Python using models designed for non-linear search data. SEO forecasting pays the bills, but doesn’t add much value Decision-makers rely o…





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