E-E-A-T for AI search: signals that earn citations

E-E-A-T originated in Google's quality guidelines as a way of describing the credibility a source should have, especially on topics where bad information can cause harm. It is not a direct ranking number; it is a framework for the kinds of signals quality systems and, increasingly, AI engines weigh when deciding whether to trust a source.

AI search cares because citation is fundamentally a trust decision. When an engine names you in an answer, it is vouching for you to the user. It would rather vouch for a source with demonstrable experience, expertise, authority, and trust than gamble on a relevant but unproven page. So E-E-A-T is less a checkbox and more the credibility that makes you a safe source to cite.

Experience is first-hand involvement - having actually used the product, done the procedure, visited the place. It shows through concrete, specific detail that someone who had not done the thing could not fabricate convincingly. Expertise is depth of knowledge, shown through accuracy, nuance, and the ability to address edge cases correctly. Together they signal that the content comes from someone who genuinely knows the subject.

Authoritativeness is recognition by others: being referenced, cited, and treated as a go-to source on a topic by credible third parties. You cannot fully self-declare it; you earn it as the wider web corroborates your standing. Trustworthiness is the foundation that holds everything up - accurate information, transparent sourcing, honest claims, clear identity, and a site that behaves credibly. On topics that affect health, finances, or safety, the bar for both rises.

For AI search, these translate directly into citation likelihood. Corroboration from independent reputable sources, transparent evidence, and clear authorship are exactly the signals that let an engine verify your claims and attribute them with confidence.

The work is consistent and unglamorous: publish accurate, well-sourced content; show genuine experience and qualified authorship; cite primary evidence; and earn legitimate references from credible sources over time. Keep facts current and correct errors visibly. Make your identity and sourcing transparent so a reader - or a model - can verify who is speaking and on what basis. Done consistently, this is what turns a relevant page into a cited one.