What is E-E-A-T, and does it affect AI search citations?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trust — the framework at the heart of Google's Search Quality Rater Guidelines. Google states that E-E-A-T itself is not a direct ranking factor, but turning those trust signals into machine-readable form — organization schema, named authors, cited sources — is the practical groundwork for earning citations in AI search.
Updated 2026-07-12
Frequently asked questions
- What is E-E-A-T, and does it affect AI search citations?
- E-E-A-T (Experience, Expertise, Authoritativeness, Trust) is how Google's quality raters assess content. It is not a direct ranking factor, but Google applies the same people-first content principles to its AI search features, so building verifiable trust signals is the foundation for being cited.
- Do ChatGPT or Perplexity use E-E-A-T?
- No official document says non-Google engines have adopted E-E-A-T. That content with clear authors, sources, and organizational identity gets cited more often is an industry observation — a probability factor, not a guaranteed rule.