Generative Engine Optimization (GEO) is the practice of structuring B2B content so AI tools like ChatGPT, Gemini, Claude, and Perplexity cite your brand by name, instead of just ranking your website in Google. This episode breaks down David Kirkdorffer's incredible playbook on why traditional SEO alone no longer guarantees visibility, now that 89% of B2B buyers use generative AI somewhere in their purchase process (Forrester) and Google's AI Overviews appear in 74% of problem-solving search queries (Search Engine Journal).
We cover:
The difference between SEO (ranking in search results) and GEO (being cited inside AI-generated answers)
The three things AI models actually look for before mentioning a brand: credibility, consistency, and structure
Why gated PDFs, tabbed website content, and un-transcribed webinars are invisible to AI, even when the content itself is strong
How to manually test whether your brand shows up when buyers ask ChatGPT, Gemini, and Perplexity about your category
Three fixes any B2B marketing team can make this week to improve AI visibility
Whether you're a CMO, content marketer, or SEO lead trying to understand what Generative Engine Optimization (GEO) means for your 2026 strategy, this episode gives you the framework and the first three action items.
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