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, 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.Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/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 optimization expert 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].

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 yearsLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/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 optimization expert 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].

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 want help finding out where your brand currently shows up in AI engines, head to cassieclarkmarketing.com to start an AI search visibility audit.Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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.Resources:What is the FSA Framework?Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 weekResources:SEO Roundtable's AI Mode ArticleLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 gapResources:The FSA Framework on HubSpotGEO Metrics 2026Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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.Resources:The FSA Framework on HubSpotLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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've been wondering whether SEO still matters in an AI-first world, or where to start with AI search optimization, this episode connects the dots and gives you a clear next step.Resources:Should You Skip SEO and Go Straight to AEO for AI Search (OG)What's the Difference Between SEO, AEO, and GEO in AI Search? (OG)Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 engineLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 trueResources:Princeton's GEO studyWhat is the FSA Framework?Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 systemsResources:What is the FSA Framework?Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 searchResources:What is the FSA Framework?Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 visibilityResources:Google’s Spam PoliciesOpenAI: Powering Product Discovery in ChatGPT Anthropic: What 81,000 People Want from AI Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 brandResources: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 ReleasesEIN Presswire: einpresswire.comLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 strategyLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 daysResources:Webinar (March 26, 2026, at 1 pm EST): Boardroom Ready: A CMO's Guide to GEOLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 nowResources:Semrush's LinkedIn AI Visibility StudyLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 contentResources:Conductor's full researchLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 strategyLet’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comDownload Freshness, Structure, Authority: The Framework for AI Search Visibility:AmazonP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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've been wondering why great content and strong domain authority aren't translating into AI visibility—or where to even start building your brand's presence in AI-generated answers—this episode lays it out.Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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’ve been treating Reddit as optional in your AI search strategy, this episode will likely change your mind.Resources: impact.com: Why offsite content increases brand visibility in AI search and overviews: The top 3 factors that matter.Found in AI with Danny Kirk: Why Do Reddit Comments Matter More Than Posts in AI Search?Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 working in local SEO or testing AI visibility strategies, this episode offers a candid look at what’s happening right now in the wild.Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 building AI visibility and wondering how model advancements affect your actual strategy—not just your drafting workflow—this episode will help you recalibrate your approach.Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slotsto help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 trying to separate hype from strategy in the GEO conversation—and build real, defensible AI visibility—this episode will recalibrate your approach.Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slotsto help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 a marketer, founder, or content strategist trying to understand how AI visibility is evolving — and what measurement plus monetization means for your strategy — this episode will help you connect the dots between tooling, infrastructure, and opportunity.Let's connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 a marketer, founder, or content leader trying to understand why competitors are showing up in AI answers — and how to diagnose what’s holding your brand back — this episode will help you rethink visibility before jumping into tactics.Resources:Baseline Audit for AI Search VisibilityAI Visibility Audit Case Study: Why Alai Wasn't Showing Up in AI AnswersLet's connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 an ecommerce marketer or founder trying to understand how AI engines actually interpret your site — and how to ensure your brand is represented accurately in AI-generated answers — this episode will help you rethink what optimization really means.Resources:Microsoft: From Discovery to Influence: A Guide to AEO and GEOLet's connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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 a marketer, content strategist, or founder trying to understand how AI-powered search really works — and how to increase your chances of being included in AI answers without chasing meaningless rankings — this episode will help you rethink what visibility actually means in the age of AI.Resources:SparkToro's latest researchCase Study: The Displacement of Legacy Authority: A 125-Hour AI Share of Voice Case StudyLet's connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: Subscribe Can you opt out of AI search without losing visibility?In this episode of Found in AI, Cassie breaks down two recent Google updates that quietly confirm where search is headed — and why publishers and brands now face a real tradeoff between control and visibility.She unpacks what Google actually means when it says sites may be able to opt out of generative search features, how Google-Extended fits into the picture, and why opting out of AI-powered experiences isn’t a neutral decision if discovery and demand matter to your business.In this episode, you’ll learn:What Google is really signaling about the future of AI Overviews and generative searchHow Google-Extended works — and what it does and doesn’t affectWhy opting out of generative search can reduce visibility, even if rankings stay intactHow conversational follow-ups are reshaping the old SEO mental modelWhy being useful across a conversation now matters more than ranking for a single queryWhat brands should consider before deciding whether to opt out — or lean inIf you’re a marketer, content strategist, or founder trying to understand how AI-powered search impacts visibility, authority, and discovery — and whether opting out is worth the risk — this episode will help you think through the tradeoffs clearly and strategically.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeHow do AI search engines decide who to trust?In this episode of Found in AI, Cassie breaks down what entity authority actually means in the context of AI search, and why strong SEO alone is no longer enough to show up in AI-generated answers. She explains how AI engines like ChatGPT, Gemini, and Perplexity build confidence in brands, creators, and concepts — and why so much of that trust is formed off your website.In this episode, you’ll learn:What entity authority is and how AI engines use it to assemble answers Why AI search prioritizes recognizable sources over perfectly optimized pages How YouTube explanations can influence AI visibility even when blog posts don’t rank Why Reddit provides critical conversational context for AI systems How LinkedIn posts can surface in AI Overviews — even without long-form articles Why consistency across platforms matters more than publishing volumeIf you’re a marketer, content strategist, or founder trying to understand why your content isn’t showing up in AI answers — and what to do about it — this episode breaks down how entity authority really works.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeChatGPT ads are officially here, but what do they actually change?In this episode of Found in AI, Cassie breaks down what we know so far about the OpenAI announcement, including who sees ChatGPT ads, who can opt out, and where ads appear in relation to AI-generated answers. She explains why ads sit around the reasoning layer—not inside it—and why that distinction matters for brands.In this episode, you’ll learn:What ChatGPT ads are, and what they don’t change about how answers are generatedWho currently sees ads and how opt-out worksWhy ads create adjacency, not authorityThe difference between renting attention and earning influence in AI searchHow brands should think about AI visibility before spending on adsCassie also shares why understanding your AI visibility baseline is critical right now—and how brands can become sources AI models already trust and reuse.If you’re a marketer, content strategist, or founder trying to understand what ChatGPT ads really mean for AI search visibility, this episode breaks down what’s changing.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhy does digital PR matter more now than it did five years ago? Because modern PR isn’t about press releases or volume—it’s about authority, credibility, and human expertise, which are the exact signals AI systems rely on when deciding what to surface, cite, and recommend in generated answers.In this episode of Found in AI, Cassie is joined by Kelly Jura, Head of Product and User Experience at QWOTED, to break down what digital PR actually looks like in 2026 and how earned media plays a critical role in AI search visibility.Rather than treating PR as a one-off tactic, this episode explores how earned media compounds—building trust signals that benefit search, AI answers, and long-term brand visibility.In this episode, you’ll learn:What “digital PR” really means today—and how it’s changedWhy authority, trust, and consistency matter more than backlinks aloneHow journalists actually decide who to quote (and who to ignore)Whether you need a PR agency—or can do this yourselfWhat makes a source credible enough for earned media mentionsWhy fully built profiles matter for matching and visibilityThe biggest mistakes founders and brands make when pitching journalistsHow AI systems mirror journalistic trust signalsWhy being quotable is more important than being availableHow earned media influences AI citations and recommendationsWhy promoting your mentions matters just as much as earning themHow digital PR compounds over time, even when pitches don’t convert immediatelyIf you’re trying to understand how PR fits into a modern AI visibility strategy—and how to build authority without press releases, spammy outreach, or a massive brand name—this episode offers a clear, practical starting point.ChatGPT ads explained: I posted a short video breaking down what they change—and what they don’t. Watch here. Let’s connect:LinkedIn → Cassie Clark | Fractional Content StrategistWebsite → https://cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeAre AI assistants starting to replace websites for discovery and shopping? In many cases, yes. And the shift is already underway.In this episode of Found in AI, Cassie breaks down two platform moves that reveal where AI-powered search is headed: Apple’s integration of Gemini-powered capabilities into Siri and Apple Intelligence, and Google’s rollout of checkout directly inside AI-driven experiences. Together, these changes show how discovery, evaluation, and purchase are increasingly happening inside AI interfaces instead of on traditional websites.The episode explains how AI systems like Siri, Gemini, and other generative assistants decide what to surface, which brands to trust, and when users should move from question to purchase, often without a click.In this episode, you’ll learn:What Apple’s partnership with Google means for Siri and AI-driven discoveryWhy conversational and spoken AI changes how content must be structuredHow Google’s AI checkout affects attribution, funnels, and conversion trackingWhy discovery, evaluation, and purchase are moving inside AI systemsWhat brands should prioritize to stay visible, trusted, and chosen in AI-driven journeysIf you’re a marketer, content strategist, or founder trying to understand how AI assistants are reshaping search and commerce, this episode breaks down what’s changing—and what to do next.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Do you like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeIn today’s episode of Found in AI, I sit down with Karl-Gustav Kallasmaa, founder of Attensira, to unpack a question more marketers are quietly running into this year:If AI is now the primary interface for search, what role does the website actually play?We explore what Karl calls the death of the webpage. We cover:Why websites are becoming a reference layer, not the primary destinationWhat information AI systems actually need from brands (and what they ignore)Why clarity is starting to matter more than clever brandingHow writing for machines and humans requires different tradeoffsWhat “machine-readable” really means for B2B and e-commerce brandsWhy content volume still matters, but only when it answers real questionsHow outdated or vague information forces AI systems to guess (and why that’s risky)If you’re thinking about AI search, GEO, or how your brand shows up when fewer people are clicking through to websites, this episode will help you rethink what your site is for — and what it needs to communicate more explicitly going forward.📌 Mentioned in this episode:The “death of the webpage” and how its role is evolvingWriting content for AI systems without abandoning human trustClarity vs. branding in AI-driven discoveryContent freshness, usefulness, and avoiding low-value “slop”How systems like ChatGPT, Gemini, and Perplexity evaluate informationWhy clearer signals beat more pages in AI search visibilityLet’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhy is Reddit overtaking TikTok as a preferred search tool for Gen Z? Because when people are trying to make decisions—not just get inspired—they prioritize context, trust, and lived experience.In this episode of Found in AI, Cassie breaks down recent reporting from The Guardian showing that Reddit has surpassed TikTok as a search destination for Gen Z users in the UK. While it might look like a social media trend on the surface, the shift reveals something deeper about how search behavior is changing—and why those changes closely mirror how AI search systems evaluate and reuse content.The episode explains why Reddit’s structure, long-form discussions, and experience-based answers outperform entertainment-driven platforms when users are trying to decide what to do, buy, or believe. Those same characteristics also make Reddit content easier for AI systems to surface and cite in generated answers.In this episode, you’ll learn:Why Reddit is becoming a default search tool for Gen ZThe difference between inspiration-driven discovery and decision-driven searchWhat Reddit’s rise reveals about trust, context, and explainabilityHow AI search systems evaluate and reuse content from community platformsWhat this shift means for brand visibility beyond traditional SEOIf you’re a marketer, content strategist, or brand leader trying to understand why “good content” doesn’t always translate into AI visibility, this episode connects human behavior, AI systems, and the future of search.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Do you like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeHow should teams plan their Q1 content strategy for AI search in 2026? By shifting focus away from publishing volume and toward how AI systems evaluate, connect, and reuse content over time.In this episode of Found in AI, Cassie breaks down how AI-driven search is changing what “good planning” actually looks like. If your Q1 plan is still centered on publishing blog posts and hoping for rankings, this episode explains why that approach falls short and how to plan with clarity rather than guesswork.Rather than focusing on tactics, the episode outlines a strategic framework for planning content, social, and authority together, based on how AI systems assemble answers and assess trust.In this episode, you’ll learn:How AI search systems evaluate and assemble answers differently from traditional searchWhy separating content and social planning weakens AI visibilityHow to plan Q1 content using the FSA framework (Freshness, Structure, Authority)Why AI visibility depends on patterns and reinforcement, not one “perfect” postWhere SEO still plays a critical role — and where it stops being sufficientWhy auditing existing content should come before new ideationHow AI share of voice reveals hidden strengths and real gapsIf you’re planning Q1 right now and trying to account for AI-driven search behavior, this episode will help you plan more intentionally without starting from scratch.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhat does Google Search Console’s new beta reveal about AI visibility? That discovery and authority are no longer defined solely by websites—and Google is beginning to measure visibility the way AI systems already do.In this episode of Found in AI, Cassie breaks down a quiet beta test in Google Search Console that surfaces social channels alongside traditional web metrics. While it may look like a minor reporting update, the change signals a broader shift in how Google defines discovery, influence, and authority in an AI-driven search landscape.The episode explains why brands can now appear in AI-generated answers without ranking traditionally and why ranking alone is no longer a reliable indicator of visibility. It also connects Google’s evolving measurement approach to how AI answer engines already evaluate content across websites, social platforms, and creators.In this episode, you’ll learn:What the new Google Search Console beta reveals about how search visibility is evolvingWhy surfacing social channels in Search Console is more than a feature updateHow this change aligns Google’s metrics with how AI answer engines workWhy brands can appear in AI answers without traditional rankings — and vice versaHow AI systems evaluate influence across websites, social platforms, and creatorsHow this update maps directly to the FSA framework (Freshness, Structure, Authority)What marketers should take from this shift as they plan content and visibility strategies for 2026If you’re trying to understand how AI visibility is being measured—and why traditional SEO metrics no longer tell the full story—this episode breaks down what’s changing and how to respond.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Do you like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeWhat SEO still works in AI search, and what no longer does? The answer has less to do with rankings and far more to do with trust, authority, and how brands show up across the web.In this episode of Found in AI, Cassie sits down with Pat Reinhart of Conductor to unpack why AI-driven search isn’t just changing SEO—it’s exposing which strategies were never built to last in the first place. The conversation breaks down why “ranking in ChatGPT” isn’t a real concept, how large language models evaluate visibility, and why share of voice is becoming more important than traditional keyword positions.The episode also explores how AI systems assess brand authority through mentions, citations, sentiment, and reputation—and why attempts to game the system are increasingly ineffective.In this episode, you’ll learn:Why AI search is not simply SEO in disguise and where the fundamentals divergeWhat SEO practices still support visibility in AI-driven searchWhy share of voice matters more than rankings in LLM-based systemsHow brand mentions, citations, and sentiment influence AI visibilityWhy reputation and consistency outperform manipulation in AI searchHow to think about ChatGPT, Gemini, and other models without chasing every engineWhat signals help brands earn trust inside AI-generated answersIf you’re questioning old SEO playbooks, noticing traffic patterns shift, or trying to build a durable strategy for 2026, this episode helps separate what still works from what AI is actively devaluing.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing, Conductor

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhy isn’t domain authority enough in AI search? Because authority in AI-powered systems is continuously reassessed based on freshness, structure, and how closely content matches user intent in the moment.In this episode of Found in AI, Cassie walks through a real-world case study where a single content update—optimized specifically for AI search—displaced legacy SEO publishers in under 96 hours across systems like Google Gemini and Perplexity.The episode breaks down how AI search engines evaluate sources differently from traditional search, why domain authority is no longer a permanent advantage, and how visibility shifts when AI systems identify a clearer, more reusable primary source.In this episode, you’ll learn:Why domain authority alone is no longer a reliable safety net in AI-generated answersHow one content update led to a 96-hour shift in AI Share of VoiceWhat AI Share of Voice (AI SoV) measures and why it behaves differently from keyword rankingsHow AI search creates a winner-take-most dynamic around a primary sourceWhy legacy publishers weren’t penalized — they were simply outcompetedHow the FSA framework (Freshness, Structure, Authority) aligns with how LLMs evaluate contentWhy SEO still matters, but must be paired with structure AI systems can interpretWhat this case study signals for Series A, Series B, and enterprise teams heading into 2026If you’re relying on domain authority as a long-term moat, this episode shows why AI search changes the rules — and what to do about it.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhat does Gemini 3 Flash mean for the future of AI search? It signals a shift toward faster answers, deeper trust, and longer in-interface discovery—changing how users interact with Search itself.In this episode of Found in AI, Cassie breaks down Google’s rollout of Gemini 3 Flash, now powering AI Mode in Search globally. While much of the coverage frames this as a performance upgrade, the episode explains why speed is actually a behavioral change—one that keeps users inside AI-driven search experiences longer and reshapes how decisions are made.The episode explores how faster, more confident AI answers build trust, enable conversational follow-ups, and reduce the need to click through to websites, raising the stakes for brands that don’t appear inside AI-generated answers.In this episode, you’ll learn:Why Gemini 3 Flash is more than a performance upgradeHow faster AI answers change search behavior and user expectationsWhat Google means by “PhD-level reasoning” and how it builds a trust layerHow conversational follow-ups reshape discovery and decision-makingWhy brands that don’t appear in AI answers risk becoming invisible at critical momentsHow this update reinforces the FSA framework (Freshness, Structure, Authority)Why marketers should observe AI Mode recommendations before auditing contentIf you’re trying to understand how speed, trust, and conversational AI are changing search—and what that means for visibility—this episode breaks down what’s shifting and how to respond.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comP.S. Is your brand losing its "Answer Authority"? Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhy do Reddit comments matter more than posts in AI search? Because comments contain context, lived experience, clarification, and human validation. And those are the exact signals AI systems rely on when deciding what to reuse in generated answers.In this episode of Found in AI, Cassie is joined by Danny Kirk, founder of ReddiReach, to break down why Reddit plays such an outsized role in AI search visibility—and why commenting often matters more than posting when it comes to showing up in systems like ChatGPT, Gemini, and Perplexity.The conversation unpacks how AI engines pull from Reddit threads versus individual comments, why citations from Reddit have shifted recently, and how human interaction signals influence what AI systems trust and surface. Rather than treating Reddit as a risky or opaque channel, the episode explains how to approach it strategically—without spamming, over-posting, or burning credibility.In this episode, you’ll learn:Why Reddit remains one of the largest sources of training data for large language modelsWhat the recent drop in Reddit citations actually means (and what it doesn’t)How AI engines pull from Reddit threads compared to individual commentsWhy human interaction matters more than upvotes or karma aloneThe difference between posting and commenting for AI search visibilityHow brands can reverse-engineer Reddit signals using Google and AI toolsTools that help teams avoid Reddit rabbit holes and stay focusedWhat the first 30 days of a realistic Reddit strategy look likeWhy Reddit is a long-tail visibility play, similar to SEO How a single helpful Reddit comment can influence AI answers, even for brands with little or no online presenceWhy AI systems consistently favor content with a real, identifiable human behind itIf you’re trying to understand where Reddit fits into a modern AI visibility strategy—and how to use it without turning into “that brand” on Reddit—this episode offers a grounded, practical starting point.Let’s connect:LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.comKeywords: Reddit Marketing, AI Search, Generative Search, AEO, GEO, AI Visibility, Reddit SEO, LLM Training Data, AI Citations, Content Strategy, Entity Authority, Reddit Comments, AI Optimization, Search Trends, Digital VisibilityP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhat does Google’s AI Mode rollout signal for the future of search? That AI-generated answers are moving from an experiment to a default layer of the search experience, fundamentally changing how discovery and visibility work.This episode of Found in AI marks the launch of a new weekly Thursday segment covering major developments in AI search and what they mean for content strategy, visibility, and discovery.Cassie Clark is joined by AI researcher Adam Whistler, one of the first people to identify and analyze Google’s rollout of AI Mode inside traditional Search. With no announcement, documentation, or public roadmap, the experiment signals one of the most significant shifts in search behavior since the early 2000s.The conversation breaks down how AI results are being layered into Google’s default experience, what this means for organic visibility, and why brands and creators need to start preparing now—before AI Mode becomes mainstream.In this episode, you’ll learn:What Google’s AI Mode rollout reveals about the direction of SearchWhy Google is testing AI results quietly, without formal announcementsHow AI-generated answers are being layered into traditional search experiencesWhat this shift means for organic visibility and discoveryHow AI Mode could reshape the user journey from question to decisionWhy preparation matters before AI Mode becomes the defaultIf AI Mode moves into mainstream Search, discovery will no longer begin with links—and this episode explains what that shift means and how to prepare.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comKeywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content OptimizationP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeHow do AI engines decide what to cite? They prioritize content that demonstrates freshness, structure, and authority—not just traditional SEO signals or domain authority.In this episode of Found in AI, Cassie breaks down the FSA Framework (Freshness, Structure, Authority), a practical model for understanding why AI systems like ChatGPT, Gemini, and Perplexity consistently cite some brands while completely ignoring others, even when those brands have high domain authority.The episode explains why traditional SEO alone is no longer sufficient for AI visibility, how AI engines evaluate entities instead of pages, and why small or lesser-known sites can outperform industry giants when their content is easier for AI systems to extract and reuse.In this episode, you’ll learn:Why AI search has overtaken traditional search behaviorHow Google’s shift toward AI Mode changes content discoveryThe three factors AI engines rely on to select sourcesWhat freshness signals actually look like to a large language modelHow to structure content so AI systems can extract and reuse itWhy authority in AI search means entity strength, not domain authorityHow Cassie used the FSA framework to start appearing in AI-generated answersA simple diagnostic test to understand why you’re not being citedA 30-day plan to improve AI visibility—even with a small siteIf you’re trying to stay visible as generative search rewrites how people discover information, this episode provides a clear, actionable starting point.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comKeywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content OptimizationP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeWhy has Reddit become a power player in AI search? Because its structure, user-generated discussions, and lived-experience answers align closely with how AI systems evaluate trust, context, and relevance.In this episode of Found in AI, Cassie is joined by SEO strategist Beth Chernes to break down why Reddit now appears so frequently in AI-powered search experiences—including Google’s AI Overviews—and what that means for founders and marketers trying to stay visible.The conversation explores how the Google–Reddit partnership is reshaping discovery, how Reddit data is used to train large language models, and why transparency and participation matter more than promotional tactics on user-generated platforms.In this episode, you’ll learn:Why Reddit is dominating Google’s AI Overviews right nowHow Reddit data is training large language models — and what that means for brandsThe right and wrong ways to participate in subredditsHow to use Reddit for social listening and pain-point researchWhy transparency matters more than ever on community-driven platformsHow to think about ROI from Reddit without spamming or self-promotionOne small Reddit experiment anyone can run this weekIf you’re trying to understand why Reddit shows up so often in AI-generated answers and how to use the platform without getting banned, downvoted, or ignored, this episode offers a practical, realistic starting point.Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comKeywords: AI Search, Reddit Marketing, Google–Reddit Partnership, Generative Search, AEO, GEO, AI Visibility, User-Generated Content, SEO Strategy, Subreddit Research, Social Listening, B2B Marketing, Search Trends, Digital VisibilityP.S. Is your brand losing its "Answer Authority"?Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail📬 Love the podcast? You’ll love the newsletter. Get the weekly 3-2-1 on AI search + marketing: SubscribeHow do you future-proof SEO in an AI-first search world? By shifting focus from rankings and volume to clarity, structure, and visibility signals that AI systems can interpret and trust.In this episode of Found in AI, Cassie is joined by Kristina Frunze of WebView SEO to break down what SEO actually looks like now that AI engines are reshaping how people discover information. The conversation separates the tactics that still matter from those AI is actively devaluing—and outlines what marketers should prioritize moving forward.Rather than chasing every platform or update, the episode focuses on durable principles: writing for humans while structuring for machines, understanding how Google is redefining spam, and measuring visibility in a world where zero-click experiences are becoming the norm.In this episode, you’ll learn:Why “write for humans, structure for machines” is the new SEO ruleHow Google is redefining spam — and what that means for content qualityWhen to prioritize structured data, citations, and brand mentionsWhere Reddit fits into an AI-driven SEO strategy (and where it doesn’t)How to measure visibility when clicks and rankings matter lessWhat metrics replace rankings as the primary signal heading into 2026If you’re trying to keep your brand visible as SEO and AI blur together, this episode provides a grounded, no-nonsense roadmap for what comes next.💬 Let’s connect: LinkedIn → Cassie Clark | Content Strategist Website → cassieclarkmarketing.comKeywords: AI Search, SEO Strategy, Generative Search, AEO, GEO, AI Visibility, Structured Data, Content Strategy, Zero-Click Search, Google AI, Schema Markup, B2B Marketing, Search Trends, Digital VisibilityFind the transcript here.

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: SubscribeHow did a small blog get cited in ChatGPT ahead of major SEO platforms? By prioritizing clarity, structure, and intent alignment—not backlinks or domain authority.In this episode of Found in AI, Cassie walks through a real-world case study where her blog, cassieclarkmarketing.com, was cited in ChatGPT ahead of established SEO brands like Semrush. The episode breaks down exactly what was tested, why it worked, and what this signals about how AI search systems choose sources.Rather than focusing on traditional ranking factors, the conversation explains how AI engines evaluate content for reuse—and why smaller teams have a significant opportunity to earn visibility in AI-generated answers.In this episode, you’ll learn:How content can earn AI citations without massive domain authorityWhy clarity, context, and authenticity matter more than backlinks in AI searchThe difference between SEO optimization and Generative Engine Optimization (GEO)How to structure content for both humans and AI systemsWhy smaller teams are well-positioned in the AI visibility raceWhat this case study reveals about how AI search is evolvingIf you’re trying to understand how to get your brand cited in ChatGPT, Perplexity, or Google’s AI Overviews, this episode breaks down what’s actually working right now—based on real results.💬 Let’s connect: LinkedIn → Cassie Clark | Content Strategist Website → cassieclarkmarketing.comKeywords: AI Citations, ChatGPT Mentions, Generative Engine Optimization, GEO, AI Search, Answer Engine Optimization, AEO, AI Visibility, Content Strategy, AI Content Marketing, AI Search Optimization, ChatGPT SEO, Perplexity Search, Schema Markup, Topical Authority, AI-Driven Content, B2B Marketing, Digital Visibility, SEO vs AEO, AI Overviews, Generative SearchFind the transcript here. 

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeHow do you build an AEO strategy that keeps your brand visible in AI search? By optimizing for how AI systems generate answers—not just how traditional search engines rank pages.In this episode of Found in AI, Cassie sits down with Lindsay Boyajian-Hagan, VP of Marketing at Conductor, to break down how Answer Engine Optimization (AEO) differs from traditional SEO and why it’s becoming essential as AI-generated answers reshape discovery.The conversation explores what actually determines visibility in systems like ChatGPT, Perplexity, and Google Gemini—including content depth, topical authority, schema markup, and structural clarity. Rather than chasing algorithm updates, the episode focuses on building audience-driven content systems that AI engines can understand, trust, and reuse.In this episode, you’ll learn:What AEO is and how it differs from SEO in AI-generated searchWhy content depth and topical authority influence AI citationsHow schema markup and author signals affect AI visibilityHow to map personas as prompts instead of slide decksThe role of structure and data-driven content in AI searchPractical steps to audit, prune, and rebuild content for AI visibilityIf you’ve noticed traffic patterns change or you’re trying to keep your brand visible as search behavior evolves, this episode helps you recalibrate your strategy for the next era of AI-driven discovery.💬 Let’s connect:LinkedIn → Cassie Clark | Content StrategistWebsite → cassieclarkmarketing.comKeywords: AEO, Answer Engine Optimization, AI Search, Topical Authority, Schema, SEO, Conductor, AI-Driven Marketing, Generative Engine Optimization, GEO, Content Strategy, B2B MarketingFind the transcript and show notes here.

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeWhat is a content engineer—and why does the role matter for AI search? A content engineer designs systems that keep content fresh, structured, and continuously up to date, making it easier for AI engines to understand, reuse, and surface over time.In this episode of Found in AI, Cassie sits down with Josh Spilker, Head of Content and SEO at AirOps, to unpack how the rise of the content engineer is reshaping how modern teams build, scale, and optimize content in an AI-driven search environment.The conversation explores how AI workflows are changing large-scale content operations, why systemized updates now matter more than one-off publishing, and how roles are evolving as visibility shifts toward engines like ChatGPT, Perplexity, and Google’s AI Mode.In this episode, you’ll learn:What the content engineer role actually is and why it’s becoming essentialHow AI workflows are changing linking, updates, and content maintenanceWhy freshness and structure now drive visibility in AI searchThe skills and tech stack content engineers rely on, from no-code tools to automationHow treating content like a product helps teams scale and stay visibleWhat content leaders should prioritize to future-proof their teams for LLM-driven searchIf you’re trying to understand how content roles are evolving—and what skills will matter most as AI reshapes search—this episode provides a clear, practical breakdown of what’s changing and why.💬 Let’s connect: LinkedIn → Cassie Clark | Content Strategist Website → cassieclarkmarketing.comNewsletter → Get the insightsKeywords: Content Engineer, AI Search, AI Workflows, SEO, Content Operations, AirOps, Generative Engine Optimization, GEO, AEO, AI-Driven Marketing, Content Strategy, B2B Marketing

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeHow does AI search actually work—and how do brands show up? AI engines surface brand mentions based on relevance, context, structure, and reuse potential, not traditional rankings or blue-link SEO alone.In this episode of Found in AI, Cassie sits down with Charlie Graham, founder and CEO of RivalSee, to unpack how AI visibility optimization (AIVO) is reshaping how brands appear inside ChatGPT, Perplexity, and Google’s AI Mode.The conversation breaks down how AI systems source and evaluate content, why mentions often matter more than links, and how long-tail, bottom-of-funnel content increasingly outperforms top-of-funnel assets in AI-driven search experiences.Rather than requiring a full SEO overhaul, the episode outlines practical ways teams can experiment with AI visibility—using structure, schema, and intent alignment to influence what gets surfaced in AI-generated answers.In this episode, you’ll learn:How AI engines source, evaluate, and surface brand mentionsWhy long-tail, bottom-of-funnel content performs better in AI searchHow structured data, static content, and schema impact AI visibilityThe difference between being linked and being mentioned — and why it mattersPractical ways small teams can test AI visibility optimizationWhat AIVO signals reveal about how AI search is evolvingIf you’re trying to adapt your content strategy for the next era of search — and want your brand to actually appear in AI answers — this episode explains how AI search works and what to focus on first.💬 Let’s connect: LinkedIn → Cassie Clark | Content Strategist Website → cassieclarkmarketing.comKeywords: AIVO, AI Visibility Optimization, AI Search, SEO, Long-Tail Keywords, Structured Data, Generative Engine Optimization, AEO, GEO, Brand Mentions, Content Strategy, B2B MarketingFind the show notes and transcript here.

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeAre backlinks still important in AI search—or do brand mentions matter more? The answer is that both influence AI visibility, but they matter in different ways depending on context, intent, and how trust is established across the web.In this episode of Found in AI, Cassie sits down with Nathaniel Miller, Head of Marketing at Ashbrook Technologies and founder of his own growth agency, to unpack how off-page signals are evolving as AI-driven search reshapes visibility.The conversation breaks down when backlinks still play a role, why brand mentions are increasingly influential in AI-generated answers, and how digital PR, social presence, and relationship-building now shape authority beyond traditional link-building tactics.In this episode, you’ll learn:How backlinks and brand mentions each influence AI search visibilityWhen backlinks still matter—and when mentions carry more weightHow digital PR and social presence shape off-page SEO in the AI eraWhat the decline of Reddit signals about community-based authorityHow to approach AEO and GEO without abandoning SEO fundamentalsTools and tactics for earning durable visibility, including Qwoted and intentional outreachIf you’re rethinking your link-building or PR strategy for AI-driven search—and want visibility that actually lasts—this episode clarifies what still works, what’s changing, and where to focus next.💬 Let’s connect: LinkedIn → Cassie Clark | Content Strategist Website → cassieclarkmarketing.comKeywords: Brand Mentions, Backlinks, Digital PR, AI Search, Generative Engine Optimization, AEO, GEO, Off-Page SEO, Authority Signals, Content Strategy, B2B MarketingFind the show notes and transcript here.