E-E-A-T Definition
E-E-A-T: The four things Google's raters weigh before trusting a page.
Google's quality framework: Experience, Expertise, Authoritativeness, Trustworthiness. The lens through which human quality raters ... and, implicitly, the algorithm ... evaluate content credibility.
Also known as EEAT, E-A-T, Experience Expertise Authoritativeness Trustworthiness
Google's quality framework: Experience, Expertise, Authoritativeness, Trustworthiness. The lens through which human quality raters ... and, implicitly, the algorithm ... evaluate content credibility.
What E-E-A-T means in this system.
E-E-A-T is the four-factor framework Google uses in its Search Quality Rater Guidelines to assess whether content is produced by someone with first-hand experience and relevant expertise, on a site that has demonstrated authoritativeness within its field, in a way that warrants user trust.
The four signals interact: a doctor writing about medication dosing (expertise) on a hospital-affiliated domain (authoritativeness) with verifiable credentials and cited sources (trustworthiness) ... and ideally personal clinical experience with the condition (experience) ... represents strong E-E-A-T. A thin affiliate page on an anonymous domain represents the opposite.
While E-E-A-T is a guidelines framework rather than a direct algorithmic signal, its dimensions are correlated with signals the algorithm can measure: author markup, linked author bios, referring domain topical relevance, third-party mentions, editorial history, and page-level transparency. Sites that perform well in E-E-A-T evaluations tend to have link profiles and content structures that support those assessments.
Where E-E-A-T shows up.
After Google's 2022 'helpful content' system update, many health affiliate sites saw sharp traffic declines. Sites that recovered shared a common pattern: they added author bios with verifiable credentials, cited peer-reviewed sources, disclosed affiliate relationships, and structured content to prioritize informational value over conversion. These are all E-E-A-T signals made more legible to raters and, indirectly, to the algorithm.
The first 'E' ... Experience ... was added in December 2022, expanding the prior E-A-T framework. It specifically captures first-hand, lived experience with a subject: a personal finance blogger who has actually been through bankruptcy carries a different credibility signal than one who has only researched it. This matters most in health, finance, and legal content where personal stakes are high.