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E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)

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Google's quality framework for evaluating content, expanded to four factors in late 2022 — used by both Google ranking algorithms and AI search engines.

Full definition

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google's quality framework introduced in 2014 as E-A-T and expanded in 2022 to include first-hand Experience. It's a major signal in Google's Search Quality Rater Guidelines and influences both traditional search rankings and AI Overviews. Critical for review sites and 'Your Money or Your Life' (YMYL) content like health, finance and software recommendations. Practical implementations: visible author bios with credentials, schema Person markup with sameAs links, original research and data, methodology disclosure, and clearly stated affiliate relationships. LLMs in 2026 increasingly use E-E-A-T-like signals to decide which sources to cite.

Examples

  • ·Adding an Author page with credentials, sameAs links to other professional profiles, and topics of expertise.
  • ·Publishing original methodology (rather than copying competitor frameworks) signals Expertise.
  • ·Transparent affiliate disclosure signals Trustworthiness — both for Google and for AI citation decisions.

See also