E-E-A-T in the AI era
Overview
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trust — a framework from Google's Search Quality Rater Guidelines used to describe content quality. ("Experience" was added in 2022 to the earlier "E-A-T.") The guidelines define E-E-A-T as a concept human raters apply when assessing pages; it is not itself a direct ranking algorithm.[1]
In the AI era the term is frequently reused to describe signals that may influence whether content is surfaced and cited by AI search systems. This AI-era usage is not formally defined by Google and should be distinguished from the original rater-guideline meaning.
The two senses
- Original (rater-guideline) sense: a qualitative framework human evaluators use to judge page quality, especially for "Your Money or Your Life" topics. It is an evaluation concept, not a metric a publisher can directly set.
- AI-era sense: an informal extension asserting that experience, expertise, authority, and trust signals influence selection and citation by AI answers. This usage borrows the authority of the Google term but lacks an authoritative specification.
| Term | What it is |
|---|---|
| E-E-A-T (original) | Google rater-guideline quality concept |
| E-E-A-T (AI era) | Informal claim that the same signals affect AI citation |
| Entity authority | Measurable prominence/reliability of an entity in content and graphs |
| Ranking factor | A direct algorithmic input (E-E-A-T is not one) |
E-E-A-T is not a ranking factor or a number: it is a guideline concept. Its AI-era application is an analogy, not a documented mechanism.
Examples
- A medical page authored by a named, credentialed clinician with citations exhibits the expertise and trust components in the original sense.
- A claim that "improving E-E-A-T raises your AI citation rate" is the AI-era sense — plausible but not authoritatively specified.
See also
References
- ↑ Google. "Search Quality Evaluator Guidelines." https://guidelines.raterhub.com/
