E-E-A-T
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google's framework for evaluating the quality and credibility of web content, particularly important for health, finance, and other high-stakes topics.
Definition¶
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is Google's framework for evaluating the quality and credibility of web content, described in Google's Search Quality Evaluator Guidelines — the manual used by human quality raters who assess search results. E-E-A-T signals influence how Google's algorithms rank pages, especially for sensitive or high-stakes topics.
The framework was originally E-A-T (Expertise, Authoritativeness, Trustworthiness); the first "E" for Experience was added in December 2022.
The Four Components¶
Experience — does the content demonstrate first-hand experience with the topic? A product review by someone who actually used the product demonstrates experience. Generic AI-generated content that aggregates information without personal engagement does not.
Expertise — is the content creator knowledgeable about the subject? Formal credentials matter for medical, legal, and financial content. Demonstrated practical knowledge matters for other fields.
Authoritativeness — is the creator or site recognised as an authority by others in the field? This is partly measured through external signals: backlinks from credible sources, citations, brand mentions.
Trustworthiness — is the site honest, transparent, and accurate? This includes clear authorship attribution, factually accurate content, transparent business practices, secure HTTPS, and privacy policies.
Why E-E-A-T Matters for AI Content¶
E-E-A-T is directly relevant to AI-generated content because:
- AI cannot demonstrate experience — it has not personally done or observed anything
- AI output may lack expertise signals — no named author, no credentials, no demonstrable subject knowledge
- Generic AI content that matches the average of published writing scores poorly on authoritativeness — it doesn't stand out as a recognised source
Content that relies entirely on AI generation, without human expert oversight and genuine experience signals, is likely to underperform on YMYL (Your Money or Your Life) topics where E-E-A-T scrutiny is highest.
YMYL Topics¶
YMYL (Your Money or Your Life) is Google's category for topics where inaccurate information can cause serious harm: medical advice, financial guidance, legal information, safety-critical content. E-E-A-T requirements are strictest for YMYL pages.
Practical Implications¶
To build E-E-A-T signals: - Name your authors and link to their credentials or professional profiles - Include first-person experience in content ("In our testing..." / "When we used...") - Cite primary sources and expert commentary - Keep content factually accurate and up to date - Build editorial policies and about pages that describe your review process