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

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.