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

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is a framework used by Google's quality raters to evaluate the quality of web content and its creators. While not a direct ranking factor, E-E-A-T signals heavily influence how Google and AI models assess content quality and reliability.

In AI search, E-E-A-T is even more critical because language models use similar trust signals to determine which sources to cite. Content from authors with demonstrated expertise, published on authoritative domains, and corroborated by third-party sources is significantly more likely to be referenced by AI platforms.

Building E-E-A-T involves publishing content by credentialed experts, earning coverage from authoritative publications, maintaining consistent and accurate brand information across the web, showcasing first-hand experience, and building a transparent organizational presence.