E-E-A-T

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 genuine 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.

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.