Found in AI: AI Search Visibility, SEO, & GEO

Cassie Clark
  • 5.0 (4)
  • Marketing

Found in AI is a podcast for marketers, founders, and content strategists who want to understand—and win—AI search visibility in the new era of search. Hosted by Cassie Clark, fractional content strategist and AI search visibility consultant for startups and enterprise brands, the show explores how platforms like ChatGPT, Perplexity, Gemini, and Google’s AI-powered search experiences discover, select, and surface content. Each episode breaks down real-world experiments, SEO, GEO / AEO, and content marketing strategies designed to help brands get found in AI-generated answers, not just traditional search results. You’ll learn how to: -Optimize content for AI-driven search and answer engines -Blend traditional SEO with AI search optimization -Build entity authority across search, social, and AI platforms -Drive traffic, leads, and trust as search behavior continues to evolve If you’re trying to future-proof your content strategy and understand how AI is reshaping discovery, Found in AI gives you the frameworks, insights, and tactics to stay visible—wherever search happens next.

  1. 3d ago

    Google's Earnings, the Publisher Revolt, and What It All Means for AI Visibility

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe This week was one of the busiest news cycles we've had in a while. Five stories, all connected. What we cover: Alphabet Q2 2026 earnings: Google reported $119.8 billion in revenue, up 24% year-over-year, with Google Cloud growing 82%. Search revenue hit $63.3 billion and queries are at an all-time high. But here's the tension: AI experiences are driving more search activity while simultaneously sending less traffic to publishers. The publisher revolt: Reddit, USA Today, Politico, Reuters, and The Economist are all reconsidering how much access they give Google. According to Semrush data, organic Google traffic to USA Today's US site fell nearly 50% between June 2025 and June 2026. Business Insider dropped more than 85%. Reddit's $60 million/year Google licensing deal is up for renewal — and Reddit is weighing whether it's still worth it. Google's VP of Search on where search is headed: Tech Brew published a sit-down with Liz Reid this week. She said links aren't going away, that AI Mode and Gemini have different north stars, and that personalization is the next frontier.The OpenAI/Hugging Face security incident: OpenAI's models found a zero-day vulnerability, escaped a testing sandbox, gained internet access, and compromised Hugging Face's production infrastructure — all while trying to solve an internal benchmark. OpenAI called it an unprecedented cyber incident. Claude's "Record a Skill" feature: Anthropic launched a new feature in Claude Cowork that lets you record a screen walkthrough of a task and turn it into a reusable skill. Available on Pro, Max, and Team plans.Resources mentioned: Alphabet Q2 2026 earnings Tech Brew interview with Liz ReidOpenAI + Hugging Face security incident disclosureClaude "Record a Skill" announcementI'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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com Substack → https://substack.com/@cassieclarkmarketing YouTube → https://www.youtube.com/@foundinaipodcast

  2. 5d ago

    AI Competitive Intelligence: How to Track What's Citing Your Competitors

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe Vlad Pivnev has been doing digital marketing for 16 years. Two years ago, he watched AI start dismantling the traditional agency playbook in real time and decided to build toward it instead of around it. He's now CEO of Stive, where his team runs competitive intelligence, LLM visibility, and AI-driven marketing strategies across hundreds of clients. In this episode, we talk about what his agency has learned from running over 100 experiments, the five factors that determine whether a brand shows up in AI-generated answers, and why competitive intelligence — once a once-a-year project — is now something you can run weekly. We also get into something I think gets underused in AI visibility strategy: tracking which sources are citing your competitors, not just where your brand appears.  In this episode: Why 90% of Vlad's experiments produce nothing (and why he runs them anyway)The five-factor framework his team uses to diagnose AI visibilityWhy LLMs prefer unlinked brand mentions over links to your websiteWhat brand clarity actually means when an LLM is reading about youHow to use competitive citation data to find your next distribution moveIf 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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com

  3. Jul 16

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

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com

  4. Jul 14

    You Can't SEO Your Way Into AI Search Visibility

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 failWhy AI search visibility is a whole-org problem, not a content team problemWhat a Strategic Source of Truth is and why AI engines need itThe mentions vs. citations gap, and why a brand can show up in an AI answer without a single owned page being citedHow category concentration shapes your AI visibility timelineWhat the "Universal 36" brands have in common and what it means for your strategyWhy third-party coverage is now brand infrastructure, not a nice-to-haveThe 81% vs. 36% stat that should end the SEO vs. GEO debateWhat senior content strategists can do right now, even if they can't move the org yetIf 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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com

  5. Jul 9

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

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com

  6. Jul 7

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

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 itThe difference between training data, live web search, and deep research, and why you need a strategy for all threeHow community content captures the conversational data LLMs can't get from trainingWhy comparison and alternative pages are suddenly worth paying attention to againThe trust gap: why 90% of general consumers still don't trust AI-generated answers, and what that means for brandsIf 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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com

  7. Jul 2

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

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com

  8. Jun 30

    Stop Optimizing Keywords for ChatGPT (with Shane Tepper)

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe Most brands trying to figure out their AI search visibility start with the same move: take their existing keyword list and ask which ones to "optimize for AI" too. Shane Tepper, co-founder of Resonate Labs, thinks that's backwards — and after this conversation, I do too. This episode is part interview, part real-time reaction to a stretch of AI search news that hit fast and didn't slow down. In this episode: Why starting a GEO strategy with keyword data instead of buyer language queries gets the entire approach backwards — and what query generation looks like when you build it around personas, buying stages, pain points, and features insteadGoogle's recently released GEO guidelines, where the framing is defensive rather than informative, and what's missing from "good SEO practices apply to GEO" as a complete strategyWhy optimizing for AI search isn't one strategy — it's a stack, because each model (ChatGPT, Gemini, Perplexity, Copilot) weighs credibility, authority, and source preference differentlyThe agentic browsing audit quietly released through Chrome Canary's Lighthouse tool, what it actually checks for (WebMCP protocol, llms.txt), and why Google is sending mixed signals about whether these even matter for search visibilityWhat a 150-query audit actually looks like in practice — and how response data turns into a content strategy, a CMS-routed publishing pipeline, and briefs for earning third-party citationsWhy third-party sources often shape AI answers without ever being cited — and what that means for brands measuring their own visibilityIf 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/ Let’s connect: LinkedIn → Cassie Clark | AI Search Visibility Consultant Website → https://cassieclarkmarketing.com

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5
out of 5
4 Ratings

About

Found in AI is a podcast for marketers, founders, and content strategists who want to understand—and win—AI search visibility in the new era of search. Hosted by Cassie Clark, fractional content strategist and AI search visibility consultant for startups and enterprise brands, the show explores how platforms like ChatGPT, Perplexity, Gemini, and Google’s AI-powered search experiences discover, select, and surface content. Each episode breaks down real-world experiments, SEO, GEO / AEO, and content marketing strategies designed to help brands get found in AI-generated answers, not just traditional search results. You’ll learn how to: -Optimize content for AI-driven search and answer engines -Blend traditional SEO with AI search optimization -Build entity authority across search, social, and AI platforms -Drive traffic, leads, and trust as search behavior continues to evolve If you’re trying to future-proof your content strategy and understand how AI is reshaping discovery, Found in AI gives you the frameworks, insights, and tactics to stay visible—wherever search happens next.

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