E-E-A-T
Google's Experience, Expertise, Authoritativeness, and Trustworthiness framework.
Industry Term
Full explanation
E-E-A-T is Google's framework for evaluating content quality: Experience, Expertise, Authoritativeness, and Trustworthiness. It is established search guidance, and it connects directly to the broader authority signals AI systems draw on, though Aingworth does not treat it as a separate, AI-specific standard.
Each element points to something concrete: Experience asks whether the content reflects first-hand involvement, Expertise asks whether the author has relevant knowledge, Authoritativeness asks whether the source is recognized in its field, and Trustworthiness asks whether the site and its claims are accurate and safe. Google's quality raters use these as evaluation criteria, not a scoring algorithm.
The overlap with Aingworth's own framework is real but not one-to-one. E-E-A-T evaluates a piece of content or a page. Earned Authority and Recognition describe a brand's standing across the entire ecosystem, which is a broader and more durable target.
Why this matters
It is Google's own published guidance, which makes it useful and checkable. It is worth naming accurately rather than restating as an AI framework it was never written as.
Example
A medical clinic's blog post is written by a named, credentialed practitioner rather than an anonymous marketing account. That authorship detail is a direct E-E-A-T signal, independent of how well the page is optimized.
Where this sits
E-E-A-T belongs to Search, SEO & Generative Optimization, one of the seven layers of the Aingworth Glossary. The established disciplines brands use to improve discoverability. Useful, and often necessary, but tactics that sit on top of a brand's underlying authority infrastructure rather than replace it.
Related terms
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