Google Calendar Joins AI Mode, Ads Hit 1 in 3 Queries, and Mueller Softens on A/B Tests

Google Calendar Joins AI Mode, Ads Hit 1 in 3 Queries, and Mueller Softens on A/B Tests

Send us Fan Mail [https://www.buzzsprout.com/2527394/fan_mail/new] 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe [https://cassieclarkmarketing.beehiiv.com/] AI search personalization just got a lot more personal. This week Google added Calendar to AI Mode's personal context layer — and the content strategy implications go way deeper than "cool, I can schedule a meeting from search." Plus: new data on ads in AI Mode, and John Mueller says something that contradicts Google's own documentation. What we cover: * Google Calendar joins AI Mode — AI Mode can now read your schedule alongside your Gmail and Photos, meaning two people typing the exact same query can get two completely different answers. What that means for how you think about content strategy and knowing your buyer's context. * Ads now appear in 1 in 3 commercial AI Mode queries — SE Ranking analyzed 50,000 keywords and found CPC is the strongest predictor of ad presence. The big takeaway: buying an ad does not help you get cited as a source. 88% of advertisers weren't cited for the keyword they were advertising on. Paid and organic are two separate games. * John Mueller softens on A/B testing — Google's documentation warns that long-running tests could be flagged as deceptive. Mueller said this week there's no actual penalty for varying content. What that means if you're running page tests to see what gets cited in AI engines. If you're listening to this and thinking I need someone to lead this for me, that's what I do. I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.  Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/ [https://cassieclarkmarketing.com/ai-search-visibility-audit/] Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant [https://www.linkedin.com/in/cassie-wilson-clark/]Website → https://cassieclarkmarketing.com [https://cassieclarkmarketing.com/]

You Can't SEO Your Way Into AI Search Visibility

Send us Fan Mail [https://www.buzzsprout.com/2527394/fan_mail/new] 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe [https://cassieclarkmarketing.beehiiv.com/] A question in r/AEO this week asked: "What is the most overrated AEO advice you've heard?" The answers were predictable — FAQs, llms.txt, separate pages for every question. None of it is actually bad advice. The problem is when those tactics are applied with an SEO mindset inside a strategy that was built for a different era of search. In this episode, Cassie breaks down why tactics alone keep falling short, and brings in the Semrush 2026 AI Visibility Index (126 million U.S. AI search prompts analyzed from January through April 2026) to back it up with data. What we cover: * Why the "bad AEO advice" isn't actually bad, and what makes it fail * Why AI search visibility is a whole-org problem, not a content team problem * What a Strategic Source of Truth is and why AI engines need it * The mentions vs. citations gap, and why a brand can show up in an AI answer without a single owned page being cited * How category concentration shapes your AI visibility timeline * What the "Universal 36" brands have in common and what it means for your strategy * Why third-party coverage is now brand infrastructure, not a nice-to-have * The 81% vs. 36% stat that should end the SEO vs. GEO debate * What senior content strategists can do right now, even if they can't move the org yet If you're listening to this and thinking I need someone to lead this for me, that's what I do. I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.  Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/ [https://cassieclarkmarketing.com/ai-search-visibility-audit/] Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant [https://www.linkedin.com/in/cassie-wilson-clark/]Website → https://cassieclarkmarketing.com [https://cassieclarkmarketing.com/]

GSC Adds Social Platforms, GPT-Live Is Here, and GEO Isn't an SEO Job

Send us Fan Mail [https://www.buzzsprout.com/2527394/fan_mail/new] 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe [https://cassieclarkmarketing.beehiiv.com/] This week's Found in AI covers three updates that, taken together, say the same thing: AI visibility is a cross-channel, cross-functional problem — and it's getting harder to ignore. In this episode: Google just launched platform properties in Search Console — a new property type that lets you track how your Instagram, TikTok, X, and YouTube content performs in Google Search and Discover. The SEO story is interesting. The GEO story is more interesting. OpenAI introduced GPT-Live, a full-duplex voice model that can listen and speak at the same time, with real-time web search running in the background. Voice search has been a talked-about trend for years. This is the version that might actually change behavior — and the implications for what AI cites in a spoken answer are worth thinking through now. And Search Engine Journal published a piece making the case that the people who drive GEO outcomes in most organizations are brand, PR, and editorial teams — not SEO. It's a take I've been making on this podcast for months. Worth breaking down what it actually means for how content teams get structured. If you're listening to this and thinking I need someone to lead this for me, that's what I do. I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.  Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/ [https://cassieclarkmarketing.com/ai-search-visibility-audit/] Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant [https://www.linkedin.com/in/cassie-wilson-clark/]Website → https://cassieclarkmarketing.com [https://cassieclarkmarketing.com/]

What AI Engines Actually Want (And Why Your Blog Posts Aren't It) ft. Bryan McAnulty

Send us Fan Mail [https://www.buzzsprout.com/2527394/fan_mail/new] 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe [https://cassieclarkmarketing.beehiiv.com/] If you've been publishing content and wondering why it's doing nothing for your AI search, this episode is for you. Bryan McAnulty, founder of Heights Platform and Latchloop, joins Cassie to break down something most brands are missing: the training data already has everything that existed before. Which means the only content worth creating right now is what's new, what's happening in real time, and what real people are actually saying. That reframe changes everything about how you approach content strategy in 2026. In this episode: * Why most blog content is invisible to AI engines before you even publish it * The difference between training data, live web search, and deep research, and why you need a strategy for all three * How community content captures the conversational data LLMs can't get from training * Why comparison and alternative pages are suddenly worth paying attention to again * The trust gap: why 90% of general consumers still don't trust AI-generated answers, and what that means for brands If you're listening to this and thinking I need someone to lead this for me, that's what I do. I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.  Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/ [https://cassieclarkmarketing.com/ai-search-visibility-audit/] Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant [https://www.linkedin.com/in/cassie-wilson-clark/]Website → https://cassieclarkmarketing.com [https://cassieclarkmarketing.com/]

What Google's AI Mode Data Reveals About How People Search Now

Send us Fan Mail [https://www.buzzsprout.com/2527394/fan_mail/new] 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe [https://cassieclarkmarketing.beehiiv.com/] User behavior in AI search has moved, and Google's own data confirms it. This week, Cassie breaks down what that shift actually looks like, why Bing's newest Webmaster Tools features were built to measure exactly this, and what both mean for your visibility strategy. We also cover Semrush's expanded 2026 AI Visibility Index (126 million prompts — the biggest AI search dataset we've seen), Google's June spam update, and a quick note on Anthropic's Fable 5 and what it signals for the frontier model landscape. In this episode: * Semrush 2026 AI Visibility Index — 126 million prompts analyzed across ChatGPT, Gemini, Google AI Mode, and AI Overviews. What the citation gap between "mentioned" and "cited" means for your brand, and why brands with integrated SEO + AI visibility workflows are outperforming everyone else by 2x. * Google June 2026 Spam Update — Rolling out globally as of June 24th. No new policies, but worth flagging in your reporting. * Anthropic Fable 5 — Export controls lifted July 1st. Why this matters beyond the headline, and what it tells us about where frontier model governance is headed. * Google AI Mode data + Bing Webmaster Tools — The anchor segment. Google released a full year of AI Mode usage data showing the average query is now triple the length of a traditional search query, with follow-up queries growing 40%+ month over month. Then Bing drops four new AI Performance features — Intents, Topics, Citation Share, and Compare — that are essentially built to measure exactly how users are searching now. Here's how to use both together. If you're listening to this and thinking I need someone to lead this for me, that's what I do. I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.  Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/ [https://cassieclarkmarketing.com/ai-search-visibility-audit/] Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant [https://www.linkedin.com/in/cassie-wilson-clark/]Website → https://cassieclarkmarketing.com [https://cassieclarkmarketing.com/]