E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — is Google's Search Quality Rater framework, and it matters for AI answers because the same signals that raters use to grade pages are the ones the retrieval layer uses to decide which sources an AI Overview will cite.
The framework is defined in Google's Search Quality Rater Guidelines (public PDF). The added "Experience" component — the "E" that turned E-A-T into E-E-A-T — asks whether the content demonstrates that its creator has first-hand experience with the topic.
Concretely, four page features tend to earn stronger E-E-A-T grades: (1) a named author with a public bio and off-site profiles linked via sameAs; (2) transparent publisher information — legal entity, address, contact — reflected in Organization schema; (3) evidence of first-hand experience (dated screenshots, code, transactions); (4) citations to primary sources on any factual claim.
None of these are ranking factors in a mechanical sense — Google's helpful-content guidance describes them as qualities a "people-first" page tends to have. AI Overviews and other generative surfaces are documented as running on the same web index; the same qualities help there.
The AEO implication is direct: an author entity with a real Person schema and sameAs profiles is not decoration, it is a grading input.