E-E-A-T

E-E-A-T originated in Google's Search Quality Rater Guidelines — a document given to human evaluators who assess search result quality, providing feedback that shapes algorithm development. The original framework was E-A-T (Expertise, Authoritativeness, Trust). In December 2022, Google added a second E: Experience — recognizing that firsthand experience with a subject is a quality signal distinct from formal credentials. A doctor writing about a medication has expertise; a patient writing about their treatment experience has first-person experience. Both matter, in different contexts.

The four signals are not weighted equally across all content. "Your Money or Your Life" (YMYL) topics — health, finance, legal advice — face the highest E-E-A-T scrutiny because incorrect information in these areas can cause real harm. A medical article on a site with anonymous authorship, no credentials cited, and no visible editorial process signals low trust regardless of its accuracy. The same article with a named physician author, institutional affiliation, and a disclosure of the review process signals high trust. The content might be identical; the trust signals are not.

E-E-A-T is not a direct ranking factor like keywords or backlinks — there's no E-E-A-T score Google calculates and applies. It's a quality framework that correlates with signals Google does measure: author credentials surfaced through Article schema and author profile pages, site reputation as reflected in backlink profiles, editorial process signals in bylines and disclosures, and the authenticity of first-person experience language versus secondhand summary. The practical path to improving E-E-A-T is improving the signals that compose it.

For B2B content programs, the clearest implication post-Helpful Content Update is that content written by practitioners who have done the work they're writing about consistently outperforms content written purely to match search patterns. Named authors with real professional histories beat anonymous text. Original case experience beats third-party summary. Demonstrable domain expertise — visible through citations, credentials, and the specificity that comes from actual knowledge — beats optimized genericism.