E-E-A-T Signals
The authority framework with the strongest correlation to AI citation probability (r=0.67) — visible expert credentials, experience signals, and trustworthiness markers.
Plain Language Definition
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google’s quality framework for evaluating content credibility. Research shows E-E-A-T signals have a 0.67 correlation with AI citation probability, explaining 45% of variance in whether a page gets cited. Demonstrating E-E-A-T through author bios, credentials, and verifiable claims is the most impactful authority strategy for AI visibility.
Technical Definition
Google’s multi-dimensional content quality evaluation framework measuring demonstrated first-hand experience, documented expertise credentials, third-party authoritative recognition, and factual trustworthiness — correlated at r=0.67 with AI citation probability (r²=0.45), the strongest individual authority signal identified.
Why This Matters for AI Search Visibility
E-E-A-T signals have the highest correlation with AI citation probability of any authority metric studied. Content from identifiable experts with demonstrable experience in their field is dramatically more likely to be cited by AI systems than equivalent anonymous content — making author credibility investment directly measurable in citation outcomes.