Genny is back for season 5 with a solo rant/pep talk about E-E-A-T, AI, and why geologists everywhere probably want their acronym back. In this episode, we dust off Experience, Expertise, Authoritativeness, and Trustworthiness and give the whole framework a shiny new GEO/AI visibility twist.

What this episode is about:

• How E-E-A-T translates into actual, real-world content instead of fluffy theory.
• Why authority still matters, but the way AI systems understand and score that authority is changing.
• How Retrieval-Augmented Generation (RAG) works in plain English, and what that 0.6 “confidence threshold” means for whether your content is visible in AI answers… or invisible.

In 2026, E-E-A-T means...

• Experience: Content that proves you’ve actually done the thing—case studies, test results, lived stories—not just reworded someone else’s blog.
• Expertise: Credentials, track record, and depth of knowledge that show you’re the person people (and robots) should listen to, especially for YMYL topics.
• Authoritativeness: Other trustworthy people and brands cite you, link to you, and generally treat you like the grown-up in the room.
• Trustworthiness: All the “this site doesn’t feel shady” signals—technical, legal, reputational, and editorial—that give Google and AI the confidence to surface your content.

One word that keeps coming up in this episode is schema

• Review, HowTo, Person, Organisation, and Review schema all help translate your credibility into machine-readable signals.
• If markup makes your eyes glaze over, we strongly suggest looping in your SEO team or developer and treating schema as non-negotiable infrastructure.

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Thanks for listening 🤓