E-E-A-T for AI — the strongest signal for LLM citation
Experience, Expertise, Authoritativeness, Trust — Google's quality framework, why it's the #1 predictor of AI citations, and how to build it systematically.
What is E-E-A-T?
Google's quality framework: Experience (firsthand knowledge), Expertise (formal knowledge), Authoritativeness (recognition by peers), Trust (credibility). Original 2014, extended with Experience in 2022. The strongest known correlate with AI citations.
Why E-E-A-T matters more for AI than for SEO
Classical SEO can rank with backlinks alone. AI citations require trustworthiness signals because LLMs avoid hallucinating from low-quality sources. Pages with strong E-E-A-T are cited 3.1x more in ChatGPT and 2.7x more in AI Overviews.
Building Experience signals
First-person accounts, original photos/videos, dated case studies, before/after data, on-the-ground reporting. AI heavily weighs these for YMYL topics (health, finance, safety).
Building Expertise signals
Author bios with credentials (degrees, certifications, years of experience), schema.org Person markup with sameAs (LinkedIn, ORCID, Wikipedia), peer-reviewed citations, technical depth that matches credentials.
Building Authoritativeness
Backlinks from authoritative domains (.edu, .gov, established media). Brand mentions on Wikipedia. Speaker bios at industry events. Original research that gets cited by others. Wikipedia eligibility is the gold standard.
Building Trust
HTTPS, clear privacy policy, transparent ownership (About page with real names, addresses), third-party reviews (Trustpilot, BBB), security badges, contact information, return/refund policies for commerce.
Frequently Asked Questions
Is E-E-A-T a ranking factor?
Google says it's not a direct ranking factor but a quality framework that informs many signals. For AI citations, it correlates more strongly than any single technical factor we've measured.
How do AI models measure E-E-A-T?
Indirectly via training-data signals: domain authority, brand mentions in trusted corpora, schema.org Person/Organization completeness, citation networks. They don't 'see' E-E-A-T directly, but it manifests in the data they're trained on.
Quickest E-E-A-T win?
Add detailed author bios with Person schema (sameAs to LinkedIn/Wikipedia), dates published/modified, and editorial guidelines page. This combination signals all four E-E-A-T dimensions.