E-E-A-TExperience, Expertise, Authoritativeness, Trust

E-E-A-T is the framework Google's Search Quality Rater Guidelines use to judge content quality, especially for consequential topics. It stands for Experience, Expertise, Authoritativeness, and Trust, with Trust at the center as the most important. The extra E, Experience, was added in December 2022 to capture first-hand experience: a review written by someone who actually used the product, a medical explanation informed by clinical practice.

The critical thing to understand is that E-E-A-T is not a metric Google computes and applies. There is no E-E-A-T score in the ranking systems. It is a concept that describes what the systems are trying to approximate through many signals, and that human raters use to evaluate whether the systems are succeeding. So you cannot optimize an E-E-A-T number; you can only do the underlying things that produce the signals: demonstrate real experience, show genuine expertise with named credentialed authors, earn authoritativeness through citations and reputation, and establish trust through accuracy, transparency, and a real organizational presence.

E-E-A-T matters most for YMYL topics, Your Money or Your Life, where bad information can harm health, finances, or safety. For those topics (medical, legal, financial), the trust bar is highest. This is also where it intersects with AI citation: engines lean on the same trust signals, named experts, corroboration, real entities, when deciding whom to cite. Doing E-E-A-T as a real practice, not chasing a score, is what wins both.