Definition
E-E-A-T – Experience, Expertise, Authoritativeness and Trustworthiness explained
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It describes criteria for evaluating content quality.
The four criteria (brief)
Experience
Practical, demonstrable experience with the topic.
Expertise
Subject matter competence matching the topic.
Authoritativeness
Recognition as a reference in the field.
Trustworthiness
Reliability of the source.
Clarification: concept, not a switch
E-E-A-T is not a single technical lever. It's a framework expressed through many signals.
Go deeper
The connection between trust and visibility is covered on the pillar page.
Is E-E-A-T a direct ranking factor?
No. It's a quality concept from Google's Search Quality Rater Guidelines.
What's the difference between E-A-T and E-E-A-T?
E-E-A-T adds 'Experience' to E-A-T.
What do the four letters stand for?
Experience, Expertise, Authoritativeness, Trustworthiness.
Why is E-E-A-T relevant for AI systems?
AI systems orient their selection on trust and authority signals.