E-E-A-T

Google's quality framework evaluating Experience, Expertise, Authoritativeness, and Trustworthiness of content and its creators.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's content quality evaluation framework that has become the primary selection mechanism for AI citations. In the context of answer engine optimization, 85% of cited sources exhibit at least three of four strong E-E-A-T signals. These signals include author credentials, original research, verified reviews, media mentions, and consistent claims across platforms.

Also known as