Found in AI: AI Search Visibility, SEO, & GEO
Send us Fan Mail [https://www.buzzsprout.com/2527394/fan_mail/new] 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe [https://cassieclarkmarketing.beehiiv.com/] Everyone's asking whether to block AI bots from their site. AJ Ghergich thinks that's the wrong question. When AJ and I recorded this conversation, most companies were still treating AI bot governance as an IT problem — something to handle quietly at the server level. But the bots hitting your site aren't just an infrastructure cost. They're shaping what AI tells the world about your brand. And right now, most companies — including some of the biggest in the world — can't say what data of theirs is being used, whether it's accurate, or whether they have any plan at all. AJ leads the consulting and AI team at Botify and has these conversations with global brands every week. His take is clear: AI bot governance isn't a "block or allow" switch. It's a set of decisions that requires marketing, IT, and legal to be at the same table. Because the moment your product data, your positioning, or your facts show up wrong in an AI answer, it stops being a technical problem and becomes a brand one. In this episode: * Why AI bot governance falls through the cracks — and the case for why it's a marketing, IT, and legal problem, not any one team's job * The three questions every brand should be able to answer about their AI data — and why even some of the world's biggest brands can't * Training data vs. live retrieval — the distinction most brands miss, and why retailers need to win at the moment of retrieval, not just "get into ChatGPT" * The llms.txt question, settled: why it's an 11th-priority shiny object for 95% of brands — and what Google's new Lighthouse check does and doesn't actually change * What a good governance plan looks like versus a bad, binary one — including AJ's idea of "user testing, but for AI agents" * How to fix it when AI is telling the wrong story about you — like the cosmetics brand that got falsely labeled as not animal-friendly, and how to hunt down the source * Why your old, deprecated brand data — three-CMOs-ago mission statements, retired colors, and positioning — might be quietly confusing AI right now * Who actually needs to be at the table — and why "that's IT's problem" is the answer that gets brands in trouble Let’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist [https://www.linkedin.com/in/cassie-wilson-clark/] Website → https://cassieclarkmarketing.com [https://cassieclarkmarketing.com/] Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon [https://www.amazon.com/dp/B0GR2DHSN5] P.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/ [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 cassie@cassieclarkmarketing.com [cassie@cassieclarkmarketing.com].
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