E-E-A-T
Also called: EEAT, E-A-T, Experience Expertise Authoritativeness Trustworthiness, Google E-E-A-T
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is a concept from Google's Search Quality Rater Guidelines that human raters use to judge content quality. It is not a direct ranking factor, but Google's systems reward pages that show these signals.
Where E-E-A-T comes from
E-E-A-T lives in Google’s Search Quality Rater Guidelines, the manual Google gives the external people who rate sample search results. Those ratings do not directly move any single page up or down. They tell Google whether an algorithm change made results better or worse. So nobody “ranks for E-E-A-T.” Google is blunt about this: “While E-E-A-T itself isn’t a specific ranking factor, using a mix of factors that can identify content with good E-E-A-T is useful.”
The framework started as E-A-T. In December 2022 Google added the front “E” for Experience: did the creator actually use the product, visit the place, or live the thing they are writing about? First-hand experience now sits alongside formal expertise.
Trust is the anchor. Google’s guidelines call Trust “the most important member of the E-E-A-T family, because untrustworthy pages have low E-E-A-T no matter how Experienced, Expert, or Authoritative they may seem.” The other three feed Trust. They are not equal cards.
In practice you improve the observable signals Google’s systems can read: clear authorship and bylines, sourcing and evidence, author credentials, accurate contact and business details, honest disclosure of AI use, and content written to help a reader rather than to catch a query. Google frames this as the Who, How, and Why of your content. Who made it, how was it produced, and why does it exist.
How it affects your traffic
E-E-A-T is not a dial you turn, so treat it as the quality bar your on-page work has to clear. Pages with weak trust signals (no named author, thin sourcing, missing business details) tend to lose ground in updates that target low-quality content, and they get cited less by AI search surfaces like AI Overviews and ChatGPT, which lean on the same credibility cues. Fixing bylines, author bios, citations, and page-level trust markers usually lifts both classic rankings and AI visibility at once. For YMYL topics (health, finance, legal) the trust bar is highest, so that is where the traffic swing is largest.
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