E-E-A-T
Google's quality evaluation framework — Experience, Expertise, Authoritativeness, and Trustworthiness — used by quality raters to assess content credibility, and increasingly relevant to how AI systems evaluate sources.
The Four Components
Experience: first-hand, lived experience with the topic (product reviews from actual users, case studies from real clients). This is the component added in December 2022 and reflects direct interaction with a subject, not just knowledge of it.
Expertise: demonstrable subject-matter knowledge (credentials, depth of content, correct use of domain terminology). For medical, legal, or financial content, formal credentials are particularly important. For practical topics, demonstrated skill and depth of coverage can substitute.
Authoritativeness: external recognition by other credible sources (backlinks, mentions in authoritative publications, industry recognition). Authoritativeness cannot be self-declared — it must be conferred by third parties through citation, reference, or recommendation.
Trustworthiness: accurate, honest, transparent content — the most important of the four according to Google's guidelines. This includes clear attribution, honest advertising disclosures, accurate factual claims, and a functioning, secure website.
E-E-A-T and GEO
AI answer systems draw from sources they can evaluate as credible. A brand with no external mentions, no authored content, and no verifiable credentials is unlikely to be cited for competitive queries. Building E-E-A-T signals — publishing authored guides, earning press mentions, maintaining a consistent knowledge graph presence — directly supports GEO citation rates.
The practical overlap is substantial: the same actions that build E-E-A-T for traditional SEO also improve GEO performance. Author bylines with verifiable credentials, original research, and consistent entity mentions across external publications all signal credibility to both Google's quality raters and the AI systems that use similar criteria.
Frequently Asked Questions
- Is E-E-A-T a direct ranking factor?
- No — Google has stated E-E-A-T is not a direct algorithmic signal. It describes the characteristics that correlate with high-quality content, and human quality raters use it to evaluate pages. However, the signals that support E-E-A-T (external links, author credentials, entity mentions) do influence rankings and AI citation decisions indirectly.
- What is the difference between E-E-A-T and E-A-T?
- Google added the first 'E' (Experience) in December 2022. The original E-A-T (Expertise, Authoritativeness, Trustworthiness) was introduced in the 2014 Quality Rater Guidelines. Experience reflects first-hand interaction with a product or topic — distinct from expertise, which can be academic or theoretical.
- How do I improve E-E-A-T for AI visibility?
- Focus on: author bylines with verifiable credentials, original research or case study data, consistent entity mentions across external publications, and a complete and accurate Google Business Profile or Knowledge Panel. These signals make it easier for AI systems to identify your brand as a trustworthy source.
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