E-E-A-T (Experience, Expertise, Authoritativeness, Trust)
Google's four-axis framework for evaluating content quality. Also a core signal AI answer engines use when choosing what to cite.
What is E-E-A-T?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — the four-axis framework Google uses in its Search Quality Rater Guidelines to evaluate content. Although it originated in SEO, AI answer engines such as ChatGPT, Claude, and Gemini also lean on E-E-A-T-style signals when picking what to cite or summarize, which makes it a core check item for GEO and AEO analysis tools.
E-A-T was introduced in 2014, and in December 2022 Google added the first E (Experience), giving us today's four-axis structure.
The four axes
| Axis | Meaning | Content signal |
|---|---|---|
| Experience | Has the author directly used or lived the subject? | First-person reviews, original measurements, photos / screenshots |
| Expertise | Does the author hold deep knowledge of the topic? | Author bio, credentials / affiliation, sustained track record on the same topic |
| Authoritativeness | Is the content or domain recognized as an authority? | External citations / backlinks, mentions in trade media, Wikidata entity presence |
| Trustworthiness | Is the content accurate and verifiable? | Source links, updated dates, numerical data, correction history |
Google explicitly frames Trust as the center; the other three (E, E, A) support Trust.
E-E-A-T from the GEO/AEO angle
When training or citing, LLMs prioritize the following visible E-E-A-T signals:
- Explicit author (authorName) — bylined content beats anonymous content.
- Updated date (updatedAt) — recently refreshed pages are stronger citation candidates.
- Primary external citations — links to government, research, or original-reporting sources.
- Numeric evidence — statistics, dates, and counts raise verifiability.
- Correction history — visible record of fixing prior errors.
GEO analysis tools extract these five visible signals automatically and roll them up into an E-E-A-T sub-score.
FAQ
Q. Is E-E-A-T a direct ranking factor?
Google describes E-E-A-T as a conceptual quality framework, not a direct ranking factor. In practice, however, many ranking signals (authors, sources, authority cues) reflect E-E-A-T closely, so the industry treats it as a meaningful ranking-influencing bundle.
Q. Why is E-E-A-T held to a higher bar for medical or financial content?
YMYL (Your Money or Your Life) categories — where bad information can directly harm users' health or finances — receive stricter E-E-A-T expectations. Things like medical-expert review notices and credential disclosure are weighted more heavily.