E-E-A-T
Content StrategyExperience, Expertise, Authoritativeness, and Trustworthiness — the four signals Google uses to evaluate content quality and source credibility.
E-E-A-T is Google's framework for assessing whether content comes from a credible source capable of authoritatively covering the topic. Experience refers to first-hand or life experience with the subject matter — a travel guide written by someone who actually visited the destination scores higher than one assembled from secondary sources. Expertise means demonstrated knowledge in the field. Authoritativeness reflects recognition from others in the space — citations, links, mentions. Trustworthiness is the umbrella: accurate, transparent, honest content from an identifiable source.
E-E-A-T is not a direct ranking factor in the algorithmic sense — there is no E-E-A-T score Google calculates. It is a rubric used by human quality raters whose assessments train the algorithms over time. But the practical output of those algorithms does reward sites with strong E-E-A-T signals and suppress sites that lack them, especially in YMYL (Your Money or Your Life) categories like health, finance, and legal topics.
For AI-assisted content, E-E-A-T is the central challenge. AI can produce accurate information but cannot manufacture first-hand experience, earned authority, or genuine credibility signals. Adding author bios with verifiable credentials, citing primary sources, and adding original data or expert commentary are the practical ways to strengthen E-E-A-T regardless of whether AI helped with the draft.
Real-World Example
A financial advice site improved its E-E-A-T by adding CFP credentials to author bios, citing SEC primary sources, and replacing generic AI-written intros with first-person analyst commentary.
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FAQ
What is E-E-A-T?
Experience, Expertise, Authoritativeness, and Trustworthiness — the four signals Google uses to evaluate content quality and source credibility.
How is E-E-A-T used in practice?
A financial advice site improved its E-E-A-T by adding CFP credentials to author bios, citing SEC primary sources, and replacing generic AI-written intros with first-person analyst commentary.
What concepts are related to E-E-A-T?
Key related concepts include Helpful Content Update, SEO Content, Content Humanization, AI Generated Content. Understanding these together gives a more complete picture of how E-E-A-T fits into the AI landscape.