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E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google’s content quality evaluation framework. Originally developed for Google Search ranking, E-E-A-T has become an indirect signal for AI visibility because the same source preferences that reward authoritative content in search rankings tend to reward it in AI-generated answers.

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Why it matters

LLMs — particularly Gemini, which draws from Google’s search index — consistently favor sources that demonstrate E-E-A-T qualities: content written by identifiable experts, published on authoritative domains, supported by first-hand experience, and presented with transparency about sourcing. Brands whose content scores high on E-E-A-T criteria are more likely to be mentioned and cited by AI platforms, even without explicit schema markup.

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How it applies in practice

Cited does not directly measure E-E-A-T — it is a qualitative framework, not a metric. However, Cited’s data consistently shows that brands with strong E-E-A-T signals (expert bylines, editorial coverage in authoritative publications, original research and data) have higher mention rates than brands relying on thin or anonymous content. Investing in E-E-A-T is an investment in both SEO and GEO simultaneously.