Glossary
E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness, Google's framework for evaluating content quality, especially in YMYL (your-money-your-life) topics.
By Teeming Chew, Founder Last updated
E-E-A-T (originally E-A-T before "Experience" was added in 2022) is the lens Google's quality raters use to assess content. While not a direct ranking signal, the underlying signals (author credentials, citations, transparency, expertise on the topic) strongly influence rankings and AI citation odds.
How do you signal E-E-A-T to AI engines?
Real author bylines with biographical schema (Person markup), credentials and sources cited inline, a clear About page identifying the publisher, and external mentions from reputable third parties.
Does E-E-A-T apply to AI search?
Yes, strongly. AI engines train on signals that correlate with E-E-A-T (mentions in trusted publications, citations from authoritative sources), and they preferentially cite pages with strong E-E-A-T characteristics.
Part of the Cite Hustle GEO glossary: definitions for generative engine optimization and AI search. See how it fits the bigger picture in the GEO methodology.