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

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThis 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.comSubstack → https://substack.com/@cassieclarkmarketingYouTube → https://www.youtube.com/@foundinaipodcast

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeVlad 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeAI 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeA 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThis 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeUser 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeMost 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeIf you've been seeing the phrase "good GEO is good SEO" everywhere on LinkedIn lately, you're not imagining it. It's become the comfort take of the moment — and this week, it got a very official co-sign. Brendon Kraham, Google's VP of Search and Commerce, published a piece on Think with Google making exactly that argument. So here we are.This episode is a rant. A structured, well-reasoned rant — but a rant. Because the "good GEO is good SEO" framing isn't just lazy. It's actively giving brands permission to stop learning at exactly the wrong moment.In this episode:Why the "good GEO is good SEO" take is part true and mostly incomplete — and why that distinction actually matters for your brandThe four ways GEO goes beyond SEO that no amount of foundational optimization covers: content extractability, entity authority, freshness for AI retrieval, and cross-platform presenceWhy entity SEO and entity authority are not the same thing — and conflating them will leave you invisible outside your own domainWhat Google's Think with Google article gets right, what it gets wrong, and why its advice is largely limited to Google Search specificallyWhy brands that use this take as permission to stop paying attention are the ones that will be invisible in ChatGPT, Perplexity, and Gemini while their competitors get citedThe one question to ask yourself before you hit publish that tells you whether your content is actually extractableIf 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 [email protected]. Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/Resources:Google's Good SEO is Good GEOCase Study: The Displacement of Legacy AuthorityLet’s connect:LinkedIn → Cassie Clark | AI Search Visibility ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThe US government just ordered Anthropic to pull Fable 5 and Mythos 5 — for all users, not just foreign nationals. A model available to hundreds of millions of people went dark mid-afternoon on a Tuesday with no advance notice. Not because it stopped working. Because of a government directive citing a potential jailbreak.That's the story I didn't expect to be covering this week. But it's also the clearest argument yet for why model-specific optimization is a strategy built on sand.In this episode:What actually happened with Fable 5 and Mythos 5 — and why this matters more as a strategic signal than a product updateWhy building your AI visibility strategy around any specific model puts you at risk you can't controlBing Webmaster Tools' four new AI reporting features — Intents, Topics, Citation Share, and Compare — and how to actually use themHow to map the new Bing reporting to the FSA Framework (Freshness, Structure, Authority) so the data tells you something actionableWhy AI visibility still has no click-through data, and what we're measuring insteadA new study of 20,000 ChatGPT responses found that 80% of product recommendations change when search is enabled — and why that number should reframe how you think about content freshnessIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeBrand visibility doesn't mean what it used to. For years, SEO and PR operated in completely separate lanes. One chased rankings, the other chased coverage. AI search collapsed that wall. Now, getting cited in ChatGPT, Perplexity, and Google AI Overviews depends on whether other people are talking about you, not just whether your own pages rank.Cassie sits down with Basha Coleman, lead program manager on HubSpot's content strategy and operations team and an SEO and AEO consultant with seven years of experience, to talk about what brand visibility actually looks like in an AI-first search environment.In this episode:Why SEO and PR are finally operating as one function, and what that means for your strategyThe most undervalued citation channel most brands are completely ignoringWhat actually counts as "news" if you're a B2B software companyHow to measure success when AI answers the question and the click never happensWhy top of funnel content matters more than ever, even though you can't track itWhether AEO and GEO are really just brand work, and Basha's "yes, and"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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeTwo updates this week that marketers need to know about. First, Schema.org, working with Google, released a public Usage Statistics dataset. For the first time, you can see how structured data is actually used across millions of domains, updated monthly, and free on GitHub. Meanwhile, Anthropic launched Claude Fable 5, its most capable generally available model yet. Cassie breaks down what the schema data means for prioritizing your structured-data work, why the "small buckets" matter if you're in a niche, and why smarter engines make the FSA fundamentals — Freshness, Structure, Authority — matter more, not less.In this episode:What the new Schema.org dataset shows (and how to read it correctly)Three ways to actually use it: prioritize, justify dev hours, mine your nicheWhy Fable 5's vision and long-context gains change what gets citedThe bigger pattern: AI visibility is getting measured in the openIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThis week on Found in AI, Cassie is going solo today. There are a few things that happened in the last week that make a lot more sense for your AI search visibility strategy together than apart.On June 3rd, Cloudflare's CEO posted that bot traffic has officially crossed 57% of all web traffic — the first time in internet history that automated systems outnumber humans online. He'd predicted it wouldn't happen until 2027. It arrived more than a year early, driven almost entirely by agentic AI.Two days later, Google published new guidance asserting itself as the authoritative source on SEO, AEO, and GEO — telling businesses to evaluate all third-party advice against their official documentation.And in January and April, Microsoft had already published a GEO playbook and a framework for the agentic web... with matching tooling.Cassie breaks down what each of those moves means, why the timing matters, and where Google's GEO guidance specifically diverges from what independent practitioner testing has shown works.In This Episode:What the Cloudflare bot traffic crossover actually means for content — and why the five vs. five thousand ratio explains everythingWhy bot traffic hitting 57% arrived more than a year ahead of the Cloudflare CEO's own predictionMicrosoft's "three eras of the web" framework — and why all three are live right now, not sequentialWhy Microsoft's January GEO guide said "SEO got you here, but it won't get you there" four months before Google weighed inWhat Google's new guidance actually says — and the specific line in their SEO hiring doc that Cassie takes issue withWhere Google's GEO advice breaks down when applied outside of Google's own systemsThe chunking disagreement: what Google says to avoid, what Cassie's December Perplexity experiment showed, and why the distinction mattersThree things you can do this week to optimize for the multi-engine realityIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThis week, two updates landed that look like product news but are really a maturity moment for AI search. Google launched its long-awaited Generative AI performance reports in Search Console — a dedicated view of how often your pages appear in AI Overviews and AI Mode. And Microsoft announced Web IQ, a grounding system built not for people, but for AI agents. One shows you the scoreboard. The other rebuilt the engine room. Cassie breaks down what each one actually does, where the catch is, and why Web IQ independently confirms everything the FSA framework has been saying.What we cover:Google's new AI performance reports — and why it's impressions-only (no clicks, CTR, position, or query data)The new opt-out toggle that lets you leave AI features without hurting your rankings, and why the UK is firstA callback to Episode 34: Google catches up to Bing roughly four months laterMicrosoft Web IQ explained for people who'll never touch an APIHow Web IQ maps cleanly onto Freshness, Structure, and AuthorityThe one action to take this weekIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeEveryone's asking whether to block AI bots from their site. AJ Ghergich thinks that's the wrong question.When AJ and I recorded this conversation, most companies were still treating AI bot governance as an IT problem — something to handle quietly at the server level. But the bots hitting your site aren't just an infrastructure cost. They're shaping what AI tells the world about your brand. And right now, most companies — including some of the biggest in the world — can't say what data of theirs is being used, whether it's accurate, or whether they have any plan at all.AJ leads the consulting and AI team at Botify and has these conversations with global brands every week. His take is clear: AI bot governance isn't a "block or allow" switch. It's a set of decisions that requires marketing, IT, and legal to be at the same table. Because the moment your product data, your positioning, or your facts show up wrong in an AI answer, it stops being a technical problem and becomes a brand one.In this episode:Why AI bot governance falls through the cracks — and the case for why it's a marketing, IT, and legal problem, not any one team's jobThe three questions every brand should be able to answer about their AI data — and why even some of the world's biggest brands can'tTraining data vs. live retrieval — the distinction most brands miss, and why retailers need to win at the moment of retrieval, not just "get into ChatGPT"The llms.txt question, settled: why it's an 11th-priority shiny object for 95% of brands — and what Google's new Lighthouse check does and doesn't actually changeWhat a good governance plan looks like versus a bad, binary one — including AJ's idea of "user testing, but for AI agents"How to fix it when AI is telling the wrong story about you — like the cosmetics brand that got falsely labeled as not animal-friendly, and how to hunt down the sourceWhy your old, deprecated brand data — three-CMOs-ago mission statements, retired colors, and positioning — might be quietly confusing AI right nowWho actually needs to be at the table — and why "that's IT's problem" is the answer that gets brands in troubleIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThree AI search updates this week — and the one that got the least coverage might matter most for your content strategy.In this episode:Bing's redesigned image search groups results into AI-labeled categories — and why your alt text and image context just got more importantGoogle's new "Highly Cited" badge makes source authority visible to everyday users — not just AI enginesAsk YouTube brings conversational search to video, and why your content now needs to be queryable, not just watchableThe throughline: AI search is shifting from returning results to attributing answers. Being the source is the strategy.Resources mentioned:Bing's new image search experienceGoogle's new ways to find your favorite sources and original content in AI Search100 things Google announced at I/O (Ask YouTube is at the very bottom)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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeGoogle just announced Information Agents and Universal Cart at I/O. The timing of this episode couldn't be better.When AJ Ghergich and I recorded this conversation, agentic commerce was still something most marketers were treating as a future problem. After last week's Google I/O announcements, it's a this-quarter problem — at least for brands paying attention.AJ leads the consulting and AI team at Botify and works with some of the largest retailers in the world. His take is clear: the AI agent doing research on behalf of your buyer isn't a bot to optimize for. It's a customer to serve. And the brands that understand that now are the ones that will be visible when the transaction layer fully arrives.This is Part 2 of a three-part series. Part 1 covered why your dashboards are lying to you and what bot traffic is actually doing to your analytics. This conversation picks up with what comes next — and what your brand needs to do before agentic commerce goes mainstream.In this episode:What agentic commerce actually is — and why visibility is the prerequisite that most brands are skippingWhy this Black Friday could be the first one where agentic commerce affects your revenue numbers (even if it's only 5%)AJ's reframe: AI is not a technology layer, it's a customer type — and why that changes everything about how you organize your contentAttributes vs. intent — why "14-inch wheels" loses to "can this stroller handle the subway and the park" when an agent is making the recommendationHow to think about AI agent personas the same way you'd build buyer personas (yes, really)What smaller brands on Shopify should focus on right now versus what large retailers need to be doing with Google's Universal Commerce ProtocolWhy specificity is the content strategy for agentic commerce — and what that looks like in practiceIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeGoogle I/O was Tuesday. There's a lot to sort through — and most of it isn't the hardware story. It's the search story. This week, Cassie breaks down the I/O announcements that actually matter for visibility strategy, unpacks the llms.txt drama that played out in a LinkedIn comment section yesterday, and covers Perplexity updates that got buried under all of it.In this episode:Google I/O: the Search box redesign, AI Mode at 1 billion users, Search agents, and Universal CartWhy Search agents change what "being discoverable" actually meansGoogle's GEO guide said stop using llms.txt — then Lily Ray pointed out Google uses it on their own docs. John Mueller's response draws a distinction the guide never made.Why GEO isn't just an SEO conversation — it's the infrastructure that makes agentic commerce workBing on trust as infrastructure in AI-powered searchPerplexity: GPT-5.5 as the new default in Computer, Teams integration, and Personal Computer at $20/monthGoogle is building toward a world where your website is the backend. This episode is about what that means for your strategy right now.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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeYour analytics look broken. Impressions are up. Clicks are down. Conversion rates are off. And your leadership team wants answers.AJ Ghergich, who leads the consulting and AI team at Botify, says this isn't a performance problem — it's a data model problem. And once you understand what's actually causing it, the numbers start to make a lot more sense.In Part 1 of this three-part series, AJ breaks down what's happening inside brand dashboards right now, why bot traffic is up 4.5x in 2025, and what the 1:198 impression-to-visit ratio from AI crawlers actually means for how you report performance.In this episode:Why the impressions-up, clicks-down pattern is showing up across brands right now — and what's driving itThe difference between how Google crawls versus how AI engines like ChatGPT crawl your site (the ratio will surprise you)Why AJ says CMOs need to move from a clicks mindset to a visibility mindset — and how to make that case to leadershipWhat JavaScript rendering has to do with AI visibility (and how to check your own site in under five minutes)Why AJ compares this moment in AI search to the early days of social media — and what the smart brands did then that's worth repeating nowIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeAfter two-plus years of the GEO conversation happening without them, Google finally showed up.This week Google Search Central published their first official guide to optimizing for generative AI features in Search — covering AI Overviews, AI Mode, and a list of tactics you can finally stop wasting time on.In this surprise Friday episode, Cassie walks through the guide in real time: what it gets right, what it confirms about the FSA Framework, and — more importantly — where it quietly leaves the harder questions unanswered.In this episode:Why RAG and query fan-out change how you should think about contentThe GEO "hacks" Google officially says don't work (LLMS.txt, content chunking, inauthentic mentions)The ranking-vs-citation gap the guide doesn't explainWhat AI Mode changes that AI Overviews guidance doesn't coverWhat to actually prioritize coming out of thisThe floor is clearer now. Getting above the floor is still the work.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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeTwo stories shook AI search this week, and they look completely unrelated. They're not.OpenAI rolled out a self-serve Ads Manager — the moment ChatGPT officially became a paid placement environment with an organic layer on top. Then, two days later, Google quietly deprecated FAQ rich results, ending one of the most overused SEO tactics of the last five years.In this episode, Cassie breaks down what actually happened, what the SEO industry is getting wrong about both updates, and why these two stories — together — are sending the same message: the shortcuts are running out, and entity authority is the only durable AI visibility play left.What you'll learn:Why OpenAI's self-serve Ads Manager is a bigger deal than the headlines suggest — and what the 2030 revenue target signals about the future of organic citation in ChatGPTThe category restrictions on ChatGPT Ads right now (and why B2B SaaS isn't in the room yet)Why the "Google killed FAQ schema" headlines are technically true but strategically misleadingThe one sentence in Google's deprecation notice that completely changes how to read the newsThe difference between schema markup and rich results — and why marketers have conflated them for yearsThree specific actions to take on your FAQ schema this weekWhy the FSA framework (Freshness, Structure, Authority) is a mental model, notIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeReddit is everywhere right now — but the rules of how to actually show up there without getting your account nuked? Nobody agrees. In this episode, Cassie sits down with Carl Peterson, co-founder of RankGood.ai, to talk about what's actually working for AI search visibility in community-led platforms — and what's getting brands banned.Carl spent a decade building an audience of nearly 600,000 people and driving tens of millions in organic sales before partnering with Alex Fries to build RankGood, a mention tracker that shows brands exactly where their audience is, what they're talking about, and how to enter those conversations across Reddit, Quora, Facebook groups, and LLM citations.In this conversation, Carl and Cassie unpack the right and very wrong ways to do Reddit marketing in 2026, why on-page SEO still matters (even if everyone is panicking about it), and the under-the-radar platform most marketers are sleeping on right now.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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThis week, three updates from Google and OpenAI quietly told us the same thing: the web isn't just for humans anymore.Cassie breaks down what marketers and founders need to know about:Google's new web.dev guidance telling developers to build websites for AI agents (and why it matters even if you're not a developer)OpenAI rolling out GPT-5.5 Instant as the new default ChatGPT model, with 52% fewer hallucinations and deeper personal contextGoogle's five updates to AI Overviews and AI Mode that make personal authority and creator names more visible inside AI-generated answersIf you've been wondering whether AI search optimization is just SEO with a different name, this episode is the answer. The playbook hasn't changed. What's changed is who's reading the page.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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeIf your SEO agency is still selling you the same playbook they sold you in 2022, this episode is going to be uncomfortable. And it should be.Cassie sits down with Gilad Bechar, CEO and Founder of Moburst — a 13-year-old growth agency working with Google, Reddit, Uber, and Samsung — to talk about why traditional SEO no longer moves the needle in AI search, and what brands need to be doing instead.They get into why ChatGPT being trained on Bing changes your entire infrastructure strategy, how each AI engine (ChatGPT, Gemini, Claude, Perplexity, Grok) ranks content differently, the right way to think about Reddit as a long-term visibility play, and the mental model shift that separates the brands earning AI citations from the ones still treating AEO like SEO with a different name.Gilad's prediction: a lot of SEO-only agencies won't make it to 2028. Here's why he's probably right.Key Topics CoveredWhy SEO points and AI search points are not the same currencyHow ChatGPT, Gemini, Claude, Perplexity, and Grok each rank content differently — and why you need to reverse-engineer each oneThe Bing infrastructure problem: why ChatGPT visibility starts with Microsoft, not GoogleWhy claiming your business in the Microsoft ecosystem matters as much as Google Business ProfileHow to match the AI engine to your audience (developers vs. older generation vs. tech-savvy)The Reddit recency rule: why you should target threads from the last 7–12 months, not 5 years agoWhy a one-person marketing team can't realistically execute full AI search visibilityThe holistic strategy: PR, podcasting, LinkedIn thought leadership, video, Wikipedia, and digital PR working togetherGilad's prediction on SEO agencies and the next two yearsIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeGoogle held Cloud Next '26 in Vegas this week and barely mentioned AI Overviews. They spent three days on agents instead — and that tells you everything about where the next phase of AI search is heading. Meanwhile, at SEO Week in New York, Microsoft Bing previewed the next chapter of their AI Performance dashboard, and it's further ahead than what Google currently gives us inside Search Console.In this episode, Cassie breaks down: What Cloud Next means for AI search visibility (hint: it's bigger than ChatGPT and Perplexity now)What Bing's new Citation Share, Grounding Query Intent, and GEO Recommendations mean for marketersWhy now — not Q4 — is the moment to optimize for agentic commerce.Plus quick hits on Google's back-button hijacking penalty, DeepSeek V4, and the agentic commerce trend line connecting Microsoft and OpenAI.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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeWhat if the AI answer about your brand is wrong? Not just incomplete or outdated—actually, factually wrong?That's the question Cassie and Franklin Rios, CEO of NextNet, dig into in this episode. NextNet has been in the organic search game for 20 years, and Franklin has watched the industry shift through every major Google update. Now he's tackling the next paradigm: how AI engines decide which sources to trust, which brands to cite, and what happens when bad actors flood the system with low-quality content designed to hijack the answer.Spoiler: it's already happening.Franklin shares a real story about a consumer who asked an LLM for the American Express customer service number, got served a fraudulent number, and had their personal information stolen. It's not a one-off. It's a glimpse into the brand safety risk almost no marketing team is auditing for yet.In this conversation, Cassie and Franklin cover:Why AI accuracy is now a brand safety issue (and the audit nobody's running yet)How LLMs actually decide who to trust as a sourceWhat "vectorization" means in plain English—and why content teams should care even if they're never going to touch a vector databaseWhy citation is the name of the game in AI search, and how that maps directly to the FSA FrameworkThe real economics of ChatGPT ads—$200K minimum spends, $60 CPMs, and whether it's actually worth itWhy becoming the answer organically is the long game that compoundsWhether you're a content lead at a B2B SaaS company, a CMO trying to figure out where to put your AI search budget, or a founder wondering if your brand is even visible inside ChatGPT, this episode gives you a sharper way to think about what visibility actually means in 2026.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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeThis week on Found in AI, Cassie Clark breaks down the three AI search stories shaping 2026 strategy right now, and why the one that looks like a small UX tweak is actually the biggest.On April 16, Google rolled out a Chrome update for AI Mode that opens clicked links side-by-side with the AI conversation instead of in a new tab. The AI Mode panel now becomes a permanent layer in the browsing experience, and new data shows 93% of AI Mode searches end without a click to any external site. A SE Ranking study covered by WIRED found that the most-linked domain inside AI Mode answers is Google.com itself.Meanwhile, Statcounter's March 2026 data dropped in early April — Google Gemini overtook Perplexity to become the #2 source of AI chatbot referral traffic worldwide, Claude nearly tripled month-over-month, and ChatGPT dipped below 80% for the first time. The AI referral market is fragmenting, and single-platform visibility strategies are now a liability.OpenAI also shipped gpt-image-2 on April 21 — its first image model with reasoning built in — and the implications for multimodal retrieval matter more than they look.In this episode:Why Google's split-screen AI Mode is an enclosure strategy, not a UX upgradeWhat the 93% zero-click rate actually tells you about product designThe Statcounter data showing how AI referral traffic is redistributing across ChatGPT, Gemini, Perplexity, and ClaudeWhy a single-platform AI visibility plan is a liability in 2026How the FSA Framework maps to the new AI search realityFive tactical moves to make this weekIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeWith ChatGPT agents, Claude in Chrome, Perplexity Comet, Cowork, and Gemini agents now doing the reading — and the deciding — on behalf of buyers, there's a new gap in GEO measurement that almost nobody is tracking yet. Cassie is calling it Agentic Conversion Rate (ACR), and this episode is where she introduces it.In this episode, Cassie walks through the full 5-layer GEO measurement framework (Presence, Positioning, Performance, Pipeline, and the new one — Action), defines ACR, explains why it matters now, and gets honest about what you can actually measure in April 2026 versus what the tooling still needs to catch up to. Plus: which businesses should prioritize ACR immediately, which ones can keep focusing on citation for now, and the biggest gap in GEO tools right now that no dashboard is solving.If you're running a GEO strategy — or trying to figure out whether you should be — this is the framework.What You'll LearnWhy most GEO measurement frameworks (including the one Cassie was teaching a month ago) are already out of dateThe full 5-layer GEO measurement framework for 2026: Presence, Positioning, Performance, Pipeline, and ActionWhat Agentic Conversion Rate (ACR) is, why Cassie coined it for GEO, and why it matters nowHow agents are already making shortlist, comparison, and purchase decisions on behalf of buyers — and what that means for your contentThe honest answer to "how do you measure ACR?" in April 2026 (hint: imperfectly, and that's okay)Which business models should prioritize ACR immediately (and which can keep focusing on citation for now)Why GEO tools show you the numbers but never tell you what to fix — and what to do about that gapIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeFour stories this week, all pointing in the same direction: AI search is no longer experimental. A Google Cloud AI director just published a new optimization framework, Google is quietly piloting AI visibility reporting inside Search Console, the NYT dropped hard numbers on AI Overviews accuracy, and Ask Maps is reshaping local search around recommendations.Cassie walks through each story, connects it back to the FSA Framework, and closes on the throughline she keeps coming back to: when infrastructure solidifies, behavior follows.In this episode, you'll learn:Why Agentic Engine Optimization is a third optimization layer (not a replacement for SEO or GEO) and the 500-token rule for your highest-value pagesWhat Google's AI Contribution Report pilot signals about where publisher reporting is headed—and why it matters even without screenshots yetWhy "91% accurate" still means hundreds of thousands of wrong AI Overview answers every minuteThe ungrounding problem Gemini 3 made worse, and what it exposes about AI Overview manipulation on high-intent commercial queriesHow Lily Ray's fake-expert listicle test maps onto the Authority pillar of FSAWhat changes in local SEO when Ask Maps stops listing businesses and starts recommending themWhy reviews, Google Business Profile specificity, and agency reporting all need to evolve with this shiftWhether you're a marketer, a founder, or an in-house SEO, this episode connects the week's biggest headlines to a clear next step for your visibility strategy.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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeShould you skip SEO and go straight to AI search? In 2026, the short answer is no—and the longer answer reveals why SEO is actually doing more work than ever, just quietly underneath every AI-generated answer.In this UPDATE to one of Found in AI's most downloaded episodes, Cassie revisits the SEO, AEO, and GEO conversation she had with Ioana Wilkinson back in August—and unpacks what's changed in the eight months since. From Bing's new AI Performance dashboard to Yahoo Scout's quiet launch on Bing's grounding API, the AI search ecosystem now runs on infrastructure that rewards SEO fundamentals more than ever.The episode walks through the FSA Framework—Freshness, Structure, and Authority—as a practical system for showing up in AI-generated answers, and closes the loop on a real-world experiment updating a HubSpot bio to shift how LLMs describe a brand.In this episode, you'll learn:Why SEO is the foundation every AI engine retrieves fromWhich AI answer engines actually run on Bing's index (it's more than you think)What Yahoo Scout is and why marketers should pay attentionHow AEO and GEO fit together as layers on top of SEOThe FSA Framework: Freshness, Structure, and Authority explainedResults from a real experiment using off-site authority signals to change how LLMs describe a brandWhat to fix first when AI engines describe your brand wrong (hint: it's almost never your website)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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeGoogle released Gemma 4 this week, and while the tech press is treating it as a developer story, Cassie argues it's actually one of the most important content strategy stories of the year. Open-weight models mean companies can download a frozen snapshot of Google's AI and deploy it into internal chatbots, customer support tools, and vertical search products that run for years — each one carrying a frozen version of how the model understood your brand on training day.Cassie also unpacks a double whammy hitting Google Search Console right now: a long-running impression-logging bug dating back to May 2025 that's finally being corrected, and the March 2026 core update, which completed its 12-day rollout the morning of this recording. Together, those two events — plus the recent spam update — are about to make your data look weird for reasons that have nothing to do with your content strategy. The episode wraps with quick hits on Anthropic's Claude Mythos Preview and Project Glasswing, plus Microsoft's viral Copilot Terms of Service moment.In This Episode:Why Gemma 4 is a content strategy story, not a developer story, and what "open-weight" actually means for how AI tools get built on top of Google's modelsHow every open-weight model release creates a frozen snapshot of the internet that gets deployed into internal chatbots and enterprise tools for years after training endsWhy enterprise software upgrade cycles mean a Gemma-powered chatbot built next month could still be shaping buyer perception of your brand in 2028Why Google Search Console has been over-reporting impression counts since May 2025, and what to do when your numbers drop over the next few weeksHow to interpret Search Console data when three Google updates — the spam update, the March 2026 core update, and the impression bug fix — all hit in the same windowAnthropic's Claude Mythos Preview and Project Glasswing: a quick look at the model Anthropic decided not to releaseMicrosoft's "Copilot is for entertainment purposes only" ToS moment and what it says about building long-term strategy around any single engineIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIf you've been wondering how to actually get AI engines to start citing your brand, this episode is for you.Cassie sits down with Paul Rowe, founder and Chief Generative Engine Officer at NeuralabX, who has been heads-down researching generative engine optimization since the Princeton GEO study was published in June 2024. Paul brings a rare combination of original research, live citation testing, and a refreshingly clear point of view on what's actually working inside ChatGPT, Copilot, Perplexity, and Google AI Mode right now.Spoiler: the brands getting cited aren't winning because they nailed traditional SEO. They're winning because they understand something most marketers haven't caught onto yet.In this episode, Cassie and Paul cover:What knowledge graph enrichment actually means in a GEO context (and how it's different from the SEO definition you already know)How Paul is running live screen-recorded citation tests across four AI engines—and why that kind of original content is catnip for AI enginesThe AI citation benchmark study Paul is running on his top competitors, and what the data is showingWhy service-based businesses have a built-in GEO advantage through case studiesThe recency stat from Profound that should change how you think about content updates (spoiler: 56% of citations come from sources updated within the last month)What "updating a post" actually means, and why changing the date doesn't countWhy the "SEO is GEO" narrative Google keeps pushing is only about half trueIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeGoogle's March 2026 core update just hit, and it's one of the most volatile updates in recent memory. But if you've been paying attention to how AI engines choose sources, the signals Google is rewarding shouldn't surprise you.Cassie also digs into a Search Engine Land piece that challenges one of the most popular narratives in GEO right now: that brands need a Reddit and Wikipedia strategy to earn AI citations. The data tells a very different story—and it reinforces why authority means consistency in your category, not virality on someone else's platform. The episode wraps with a preview of Google Cloud Next (April 22–24) and what marketers should be watching for as AI Mode in Search continues to expand.In This Episode:Why the March 2026 core update is the most volatile since August 2024, with Semrush Sensor hitting 9.5/10 and over 55% of tracked sites showing significant movementHow Google's spam update and core update worked as a one-two punch—clearing bad actors first, then recalibrating quality signalsThe pattern behind who's losing: generic content, mass-produced AI content without unique value, and the "publish for every keyword" playbook that's now collapsingWhy Experience and Authoritativeness—the signals Google just tightened—map directly to how AI engines decide who gets citedHow the FSA Framework explains why some brands are insulated from core update volatility and others aren'tNew data showing 80% of Reddit threads cited by AI have fewer than 20 upvotes, with an average post age of roughly 900 days, proving that Reddit virality is not an AI visibility strategyWhy your website is still your most powerful asset for AI visibility, and why manufactured presence on third-party platforms is the wrong play for most brandsWhat to watch for at Google Cloud Next: Gemini API updates, AI Mode in Search expansion, and the rise of agentic AI systemsIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIf you've spent years building your local SEO, you're closer to AI search visibility than you think. But the signals work differently than you might expect.In this episode, Cassie sits down with Tommy Landry, founder of Return On Now in Austin, Texas. Tommy has been in search marketing since 2009 and made a significant pivot toward AI optimization in 2022. He and Cassie dig into how local SEO fundamentals translate directly to AEO and GEO, and where the blind spots are that most businesses don't see coming.The conversation covers NAP consistency, entity signals, the growing weight of review sentiment inside AI engines, why digital PR matters more than ever for LLM visibility, and a Better Business Bureau story that should make every brand audit their online reputation immediately.In This Episode:Why local SEO signals like NAP consistency and location schema already feed AI-generated answersHow AI engines use third-party mentions—even without a link—to validate your brandWhy review sentiment is now being ingested by AI platforms and how negative reviews can tank AI visibilityThe Better Business Bureau example that proves AI engines are surfacing reputation dataEntity consistency: why saying the same thing about your brand, the same way, everywhere is a foundational AI search strategyHow digital PR is making a serious comeback as a driver of LLM visibilityWhy the brands already doing local SEO well have a leg up in AI searchIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeThis week on Found in AI, Cassie is covering two major developments and one fascinating research study that all point to where AI search is heading — and what marketers and founders should be paying attention to right now.Covered in this episode:Why Google's 19.5-hour spam update rollout is historically significant and what it tells us about enforcement speedWhat SpamBrain targets and why clean, structured content doesn't get caught in spam updatesHow the FSA Framework (Freshness, Structure, Authority) maps to spam-proof content strategyWhy OpenAI's Instant Checkout failed and what Walmart's conversion data revealedHow ChatGPT is pivoting from in-app checkout to product discovery — and which major retailers are already integratedWhy Walmart is embedding its own AI chatbot (Sparky) inside ChatGPT instead of using OpenAI's infrastructureWhat Sora's shutdown and the collapsed Disney deal signal about OpenAI's priorities ahead of its IPOWhy conversational product discovery is a visibility and entity play for brandsWhat Anthropic learned from 81,000 qualitative interviews about what people want — and fear — from AIHow all three stories connect to the bigger picture of trust, authority, and AI 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this follow-up to last week's episode with Jonathan Bentz, Cassie Clark documents what happened when she tested one of Jonathan's top recommendations: using press releases to strengthen entity authority in AI search.On Friday, March 20th, Cassie published a press release through EIN Presswire announcing her ebook, Freshness, Structure, Authority: The Framework for AI Search Visibility. Within two hours, she was appearing in AI-generated answers across ChatGPT, Google AI Overviews, Google AI Mode, and Gemini — listed alongside established names in the AI search space. This episode breaks down exactly what happened, why it worked through the lens of the FSA Framework, and addresses a recent Search Engine Journal article claiming AI search barely cites syndicated press releases. Cassie also discusses the ethical considerations of using press releases for AI visibility and provides clear guidance on what qualifies as valid press release news.In This Episode:The full timeline of what happened after the press release was distributedWhy PRLog and EIN Presswire produced different levels of impactHow the FSA Framework (Freshness, Structure, Authority) explains the resultsA response to Search Engine Journal's article on AI citations and press releasesWhy the data may look different for smaller brands versus large enterprisesEthical guardrails: what counts as valid press release news and what doesn'tHow to replicate this strategy responsibly for your own brandIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.comResources:Case Study: How a Single Press Release Landed My Brand in AI-Generated Answers in Under Two HoursFSA Framework Ebook: Freshness, Structure, Authority: The Framework for AI Search VisibilitySearch Engine Journal Article: AI Search Barely Cites Syndicated News Or Press Releases

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeThis week on Found in AI, Cassie is covering two major developments that signal where AI search is heading, and what marketers and founders should be paying attention to right now.First, OpenAI published a detailed security framework on how they’re designing AI agents to resist prompt injection. They’ve confirmed this is an ongoing challenge that won’t be fully “solved,” and they’re training their systems to be increasingly skeptical of content that tries to game them. For marketers, this reinforces why genuine authority and clean structure matter more than ever.Then, Google announced the expansion of Personal Intelligence across AI Mode in Search, the Gemini app, and Gemini in Chrome. Search is now pulling from users’ Gmail, Google Photos, and purchase history to deliver hyper-personalized answers. For brands, this means first-party data has just become a critical part of an AI visibility strategy.Both stories point to the same conclusion: AI systems are getting smarter about trust, and the brands that earn it are the ones that stay visible.Covered in this episode:What prompt injection is and why OpenAI says it’s unlikely to ever be fully solvedHow OpenAI is using automated red teaming to find new attack patterns before bad actors doWhy AI agents being trained to resist manipulation is a signal that trustworthy, well-structured content winsWhat Google’s Personal Intelligence feature does and how it’s changing search personalizationWhy first-party data (collected ethically) has just become even more critical for AI visibilityHow entity authority is expanding from the public web into someone’s personal Google ecosystemHow both stories connect back to the FSA Framework and what it means for your content strategyIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie sits down with Jonathan Bentz, Growth Strategist at Direct Online Marketing, to challenge one of the longest-standing mantras in marketing: "content is king." Jonathan makes a compelling case that AI search visibility isn't a content production problem—it's a validation problem. If your strategy stops at your own website, you're only giving AI engines one source to work with. Jonathan breaks down the three disciplines that need to work together for AI visibility—SEO, reputation management, and digital PR—and explains why most teams are only doing one of them. Cassie connects his insights back to the FSA Framework and walks through exactly how press releases, review platforms, and unified messaging map to Freshness, Structure, and Authority.In this episode, you'll learn:Why "content is king" no longer applies to AI search — and what Jonathan means when he calls AI visibility a validation problemThe three marketing disciplines that need to come together for AI search success, and why SEO alone isn't enoughHow AI engines use platforms like G2, Capterra, and TrustRadius to build agreement about your brand — and what happens when that agreement isn't in your favorWhy press releases are making a comeback as an authority and freshness strategy, even on a shoestring budgetThe role customer service and customer experience now play in how AI engines perceive your brandHow reputation management has shifted from a defensive play to an offensive AI visibility strategyWhy unified messaging across PR, marketing, social, and customer support is now a structural signal AI engines rely onHow Jonathan's three disciplines map directly to the FSA Framework (Freshness, Structure, Authority) — and what to prioritize first if you only have 90 daysIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeSemrush just dropped a massive study analyzing 89,000 unique LinkedIn URLs cited by ChatGPT Search, Google AI Mode, and Perplexity—and the findings have major implications for how brands think about LinkedIn content, AI visibility, and distribution strategy.In this episode, Cassie breaks down the key findings and what they mean through the lens of the FSA Framework (Freshness, Structure, Authority).What we cover:Why LinkedIn is now the second most cited domain across major AI engines — ahead of Wikipedia, YouTube, and every major news publisherWhat semantic similarity scores reveal about how much influence your LinkedIn content has on AI-generated answersThe content formats, lengths, and intent types that get cited most (and what gets ignored)Why consistency and expertise matter more than follower count or viral reachHow Company Pages and individual creators get treated differently across ChatGPT Search, Perplexity, and Google AI ModeWhat all of this means through the FSA Framework, and how to apply it to your LinkedIn strategy nowIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie breaks down new research from Conductor showing that Reddit's AI citation share dropped 50% in just four months — and why that doesn't mean what you think it means. She also shares clips from her conversation with Chelsea Castle, head of content and brand at Close, on how her team is approaching Reddit right now.The headline: Reddit isn't disappearing from AI answers. It's narrowing. LLMs are shifting from volume-based sourcing to intent-based citation, and when Reddit does get cited, it's increasingly the only source in the response. Cassie explains what this means for your strategy, why banking on any single tactic is a mistake, and how the FSA Framework ties it all together.In this episode, you'll learn:What Conductor's research actually found about Reddit's AI citation decline—and the second data point most people are missing How LLMs are shifting from volume-based sourcing to intent-based citation, and what that means for your contentWhich prompt types Reddit dominates and where brands have a real opening to win citations backHow Chelsea Castle's team at Close is using Reddit character accounts to build trust in communitiesWhy Reddit, listicles, or any single tactic alone is not an AI visibility strategyHow the FSA Framework (Freshness, Structure, Authority) maps directly to the gaps Conductor's research uncoveredWhat to do this week to start competing with Reddit for AI citations using your owned contentIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie breaks down three major AI search stories from the week—including a Google patent that has the SEO community rattled, Perplexity's most ambitious product launch yet, and a long-awaited tone fix from OpenAI.The headline: Google filed a patent describing a system that could generate AI-built landing pages tailored to a user's query, potentially replacing the need to click through to your website at all. It's not live, but it's a signal. Cassie explains why content specificity and structure matter more than ever, and how the FSA Framework applies directly.In this episode, you'll learn:What Google's AI-generated landing pages patent actually describes and what it signals about the future of searchWhy brands with vague, generic landing pages are most at risk, and what to do about itHow content specificity and the FSA Framework protect your visibility, whether this patent ships or notWhat Perplexity Computer is, how it orchestrates 19 AI models into a single workflow system, and why it matters for marketersWhy Perplexity dropping ads while ChatGPT adds them tells you something about the evolving AI search landscapeWhat OpenAI changed in GPT-5.3 Instant to fix the overly therapeutic tone that drove users away from ChatGPTWhy staying current on how AI models shift in personality—not just capability—matters for your content strategyIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie sits down with Lars Lofgren—organic marketing veteran, former affiliate business owner, and SEO consultant for enterprise brands including Automattic and Perplexity—to dig into one of the biggest mental model shifts happening in search right now: the move from domain-level thinking to entity authority.Lars explains how his entire SEO framework broke between 2022 and 2024, why sites with massive domain ratings started getting crushed, and what he rebuilt from scratch after throwing out everything he thought he knew.In this episode, you'll learn:What entity authority is and why it's replaced domain authority as the primary unit of analysis in searchWhy sites with high domain ratings can still perform poorly in both traditional and AI searchHow Google and LLMs map entities across the entire web, not just your websiteWhy Lars recommends starting with social channels before SEO, especially for new or early-stage brandsHow building your entity on platforms like LinkedIn, YouTube, and Reddit gives SEO the wind at its backWhy picking at least two channels and committing to them long-term is critical for entity buildingHow the FSA Framework's Authority principle connects directly to the entity-first approach Lars describesIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie breaks down Reddit’s latest AI-powered shopping test—and why it’s bigger than it looks.Reddit is now surfacing interactive product carousels inside search results, pulling directly from community conversations. What looks like a simple UX update is actually a major shift: community recommendations are becoming structured, AI-surfaced commerce.In this episode, Cassie explains what this means for brands that care about AI visibility—and what to do about it before competitors catch on.In this episode, you’ll learn:Why Reddit’s AI shopping test signals a shift from citation to transaction How community mentions can become structured commerce surfaces Why Reddit search growth (60M → 80M weekly users) changes the visibility equation How to create a human-branded Reddit presence that builds credibility Why building a branded subreddit can function as AI-friendly documentation How to participate in conversations without triggering Reddit backlash What Reddit affiliate strategy could mean for AI-driven product discoveryIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie explores a real-time experiment in AI search visibility.Today’s guest, Zechariah Tokar, shares how he’s been using simple YouTube videos—created with Google’s NotebookLM—to influence local search results. And, it’s working. But it also raises bigger questions about what AI systems are rewarding right now—and what that means for brands.In this episode, you’ll learn:Why YouTube may be overweighted in local and AI-driven searchHow short, low-production videos can create entity signalsWhere NotebookLM fits into rapid video testingWhy middle-of-funnel questions may outperform “best of” keywordsHow to treat YouTube as an experiment—not a long-term shortcutIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie breaks down Anthropic’s release of Claude Sonnet 4.6—and why this isn’t just another model upgrade.While most coverage focuses on coding benchmarks and token limits, this episode looks at what actually matters for marketers and strategists: how stronger reasoning, larger context windows, and improved stability change the way you should plan your AI search optimization strategy.Rather than treating Claude as a drafting assistant, Cassie explores how Sonnet 4.6 makes it viable to use AI as a unified intelligence layer—analyzing sales calls, support tickets, churn data, and existing content to surface the insights that truly drive AI visibility.In this episode, you’ll learn:What a 1M token context window actually means (and what it doesn’t)Why larger context doesn’t equal “bigger search”—but does mean deeper reasoningHow improved model stability changes what’s practical in content analysisWhy Claude has quietly become the default content partner for many B2B teamsHow to use unified customer data to inform AI search optimization strategyWhy internal data quality directly impacts external AI visibilityHow recurring objections, language patterns, and positioning gaps shape inclusion in AI-generated answersWhy search is moving from retrieval to synthesis to executionWhat structured clarity and consistent terminology signal to AI systemsHow to think about AI as a strategic reasoning layer—not just a writing toolIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie is joined by Kristina Frunze, founder of WebviewSEO, an SEO and AI search optimization agency for B2B SaaS. Together, they unpack what AI visibility really looks like in practice—and why share of voice, intent alignment, and brand consistency matter far more than screenshots of a single AI answer.Rather than chasing the illusion of ranking, this episode reframes GEO around measurable influence, bottom-of-funnel visibility, and the structural signals AI systems use to interpret and recommend brands.In this episode, you’ll learn:Why “ranking” is the wrong mental model for LLM visibilityHow AI answers vary, even when prompts stay the sameWhat AI Share of Voice actually measures (and why it matters)Why tracking 150 prompts is usually unnecessary—and what to track insteadHow bottom-of-funnel prompts drive more meaningful visibility than top-of-funnel queriesWhether long-form content still works in AI search (and when shorter answers perform better)How to build objective, methodology-driven listicles that AI systems trustWhy brand consistency across LinkedIn, directories, and owned assets impacts LLM understandingHow messaging ambiguity weakens AI confidence signalsWhat brands can do today to improve frequency of mention in AI-generated answersIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeIn this episode of Found in AI, Cassie breaks down Bing’s new AI Performance dashboard inside Bing Webmaster Tools and OpenAI’s rollout of ads in ChatGPT — and explains why this week marks a maturity moment for AI search.Cassie walks through what Bing’s citation metrics actually measure, how grounding queries differ from traditional Google Search Console data, and why these insights should be used to validate entity authority, not just track keywords. She also unpacks what ChatGPT’s new ad layer signals about monetization, visibility, and the emerging “AI SERP” environment.Using the Freshness, Structure, Authority (FSA) framework, Cassie explains how brands should approach measurable AI visibility and what changes are now required as AI interfaces include both organic citations and sponsored placements.In this episode, you’ll learn:What Bing’s AI Performance dashboard actually measures (and what it doesn’t)How grounding queries differ from Google Search Console query dataWhy you should use Bing to validate entity authority and GSC to guide keyword targetingHow Freshness, Structure, and Authority show up in Bing’s recommendationsWhat ChatGPT’s ad rollout means for organic AI visibilityWhy AI engines are starting to resemble conversational SERPsHow brands should think about organic and paid visibility in AI interfacesIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhat is an AI visibility audit?In this episode of Found in AI, Cassie breaks down what an AI visibility audit actually is, why so many brands are suddenly asking for one, and how AI engines decide which brands to recommend in their answers.Rather than focusing on rankings or traditional SEO metrics, Cassie explains how AI-driven discovery works differently — and why most brands don’t have a visibility problem, but a diagnosis problem. Using her Freshness, Structure, and Authority (FSA) framework, she walks through what AI systems look for, where brands tend to fall short, and how audits help teams understand what’s really blocking their visibility.In this episode, you’ll learn:What an AI visibility audit is (and what it is not) Why AI visibility isn’t about rankings, keywords, or dashboards How AI engines interpret who your brand is for and when to recommend it Why many visibility issues are actually authority or clarity issues How the Freshness, Structure, and Authority framework applies to AI search What signals matter most across websites, social channels, and third-party mentions What success looks like after an AI visibility audit How audits help teams focus, align, and build visibility intentionally over timeIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhat does Microsoft's AEO/GEO Guide mean for ecommerce? In this episode of Found in AI, Cassie walks through what Microsoft actually recommends for optimizing ecommerce sites for AI engines like Copilot, why structured and consistent product data matters, and how AI systems interpret pricing, availability, and trust signals.Using Microsoft’s guidance alongside the Freshness, Structure, Authority (FSA) framework, Cassie explains what ecommerce teams should focus on now — and why page-level SEO alone is no longer enough.In this episode, you’ll learn:What Microsoft’s AEO/GEO guide reveals about AI-driven ecommerce discoveryWhy AI optimization is about clarity and consistency, not rankingsThe schema types Microsoft recommends for ecommerce brandsWhich product data fields AI systems rely on mostHow the FSA framework applies to AEO and GEO strategiesWhat ecommerce teams should audit first to improve AI 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeDo AI search rankings actually matter?In this episode of Found in AI, Cassie breaks down new research from Rand Fishkin and SparkToro that challenges one of the biggest assumptions marketers are making about AI-powered search: that rankings still matter.She walks through what the data actually shows about how AI engines like ChatGPT and Google AI generate brand recommendations, why rankings are wildly unstable, and why visibility — not position — is the metric brands should be paying attention to instead.Using both Rand’s research and her own Search Engine Journal displacement case study, Cassie explains how smaller brands can compete with legacy publishers in AI-generated answers by optimizing for visibility, probability, and share of voice.In this episode, you’ll learn:Why AI search engines don’t produce stable rankings — and never willWhat Rand Fishkin’s research reveals about how brands appear in AI answersThe difference between visibility frequency and AI Share of VoiceHow to correctly calculate AI Share of Voice (and what it actually tells you)Why rankings have nothing to do with appearing in AI-generated recommendationsHow a GEO strategy helped a smaller brand displace Search Engine Journal in AI answersWhy AI search rewards consistency and pattern recognition over domain sizeWhat marketers should understand before spending money on AI visibility toolsIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com