E-E-A-T

Google's own documentation describes E-E-A-T as a mix of factors its automated systems use to find helpful content, and states that a page need not demonstrate all four aspects: experience alone, or expertise alone, can be enough^[3]. Of the four, trust is named the most important, with the other three feeding it rather than standing beside it as independent requirements^[4]. More weight goes to pages on YMYL topics, those able to affect a reader's health, finances or safety^[5].

Google's Search Liaison, Danny Sullivan, said on 7 February 2024 that E-E-A-T is not a ranking factor and does not feed into other ranking factors^[6]. The two statements are consistent: raters use the vocabulary to score sample results, and those scores are used to evaluate ranking changes, but no E-E-A-T value is computed for a URL^[3].

On 11 September 2025 Google added a chapter of rating examples for AI Overviews, matching the example format already used for featured snippets and knowledge panels^[7]. The same revision also reworked the YMYL definitions^[8]. Google described the revision as minor and said it made no change to the underlying rating guidance^[9].

The causal evidence is thinner than the volume of advice suggests. A study presented at KDD 2024 found that rewriting content with generative-engine techniques, including adding citations and quotations from credible sources, raised a source's visibility in generative answers by up to 40% across a 10,000-query benchmark^[10]. That is a content-shape result, not a proof that author bios or credentials drive citation. One vendor analysis puts a number on the gap, reporting pages ranked sixth to tenth with strong E-E-A-T signals cited 2.3 times more often than top-ranked pages with weak authority signals^[11]. It is a single vendor measurement.