E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust. It is the framework Google's quality raters use to evaluate content quality, particularly for Your Money or Your Life (YMYL) topics like health, finance, legal and safety. AI engines have begun applying similar signals: author bios, credentials, citations to primary sources and clear attribution all improve E-E-A-T.
Experience: first-hand experience with the topic (added in 2022). Expertise: subject-matter knowledge. Authoritativeness: recognized standing in the field. Trust: reliability and accuracy of information. Trust is the most important; the others support it.
Author bylines with bios and credentials. Person schema on authors with sameAs links to LinkedIn, X, professional profiles. Date attribution (datePublished and dateModified). Citations to primary sources. Original research and data. Editorial transparency (about page, editorial policy, corrections policy).
AI engines need to assess source credibility before citing. E-E-A-T signals serve as proxies for credibility. Pages with strong E-E-A-T signals (author entity, attribution, dates, sources) are cited preferentially. Spacemen Digital builds E-E-A-T as part of every AEO retainer.
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