What is E-E-A-T according to Google?

Definition

E-E-A-T is the evaluation framework used by Google's Quality Raters to assess the quality of content and the credibility of its source. It applies with particular rigor to YMYL topics, and indirectly influences the likelihood of content being cited by LLMs.

E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — is the central framework of the Google Search Quality Rater Guidelines. It is not an algorithm; it is an evaluation rubric used by human raters to score Google result quality. Those scores are used to calibrate ranking algorithms — hence the strategic importance of E-E-A-T even though it is not a direct ranking factor.

The four dimensions in detail

Experience (lived experience): Has the author had direct experience with the topic? A restaurant review written by someone who ate there carries more weight than a synthesized article. This dimension, added in December 2022, distinguishes E-E-A-T from the former E-A-T.

Expertise (technical competence): Does the author genuinely master their field? For a medical article, the expected expertise is that of an identifiable healthcare professional. For SEO content, hands-on experience takes precedence.

Authoritativeness (recognized authority): Is the source recognized by its peers? Mentions, backlinks, citations in reference publications, and web reputation are the key signals.

Trustworthiness (reliability): The dimension Google itself considers most important. Is the site transparent about its identity, sources, and methods? Is the content verifiable and current?

E-E-A-T and GEO: the same logic

LLMs apply a structurally identical logic to E-E-A-T when evaluating source reliability. Models have been trained to give more weight to sources cited by other authoritative sources, to identify named authors, and to favor factually precise content. A solid E-E-A-T strategy therefore benefits SEO visibility and LLM citation frequency equally.

The most actionable levers are: signing each piece of content with an identified author (author page with LinkedIn profile, credentials, experience), citing sources with links to reference publications, earning mentions in recognized industry media, clearly displaying legal and contact information, and regularly updating sensitive content (finance, health, law) to ensure currency.

Yes, and it is one of the major challenges of the AI era. Google evaluates final content quality regardless of production method. AI content that has not been reviewed, enriched by genuine expertise, and signed by an identifiable author cannot satisfy E-E-A-T criteria, regardless of its apparent writing quality. Human oversight and demonstrated expertise remain essential.