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GEO Glossary

E-E-A-T

Term from the world of AI visibility – explained simply by the GeoStars team.


Definition

Google's quality concept: Experience, Expertise, Authoritativeness, Trustworthiness. AI systems also prefer brands with demonstrable expertise and trustworthy signals.

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In depth

E-E-A-T in the AI era

Experience, Expertise, Authoritativeness, Trustworthiness: Google's quality framework shapes which sources count as trustworthy – and AI systems adopt that logic. Anyone recognizable as an authority (real authors, verifiable experience, consistent signals across many sources) gets named and cited more often. For GEO, E-E-A-T is therefore not an SEO side note but a selection criterion.

Practical E-E-A-T signals for AI visibility

Visible authors with a profile and Person schema, first-hand experience reports (“In our test…”), transparent sources with dates, a legal notice and verifiable company data – plus external confirmation through mentions in trade media and directories. AI systems aggregate signals like these across the entire web.

Frequently asked questions
Not as a formal rulebook, but in practice yes: these systems also prefer sources with authority signals. Consistent, verifiable brand information works across all platforms.
First-hand experience: your own tests, real-world examples, concrete numbers from actual use. AI systems especially like citing exactly this kind of content, because it's unique and verifiable.

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