E-E-A-T
Also known as: Experience, Expertise, Authoritativeness, Trust, EEAT
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trust, the quality framework Google uses to judge whether content and its source are credible. The same signals that raise E-E-A-T also make AI engines more comfortable trusting and citing you, so it maps closely onto AI visibility.
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trust. It is the framework Google’s quality guidelines use to describe whether a piece of content, its author, and its publisher deserve confidence. It is not one metric you can read off a dashboard. It is a lens for a lot of underlying signals, and those same signals shape whether AI engines treat you as a source worth citing.
What the four parts mean
- Experience is first-hand, lived knowledge of the subject.
- Expertise is demonstrated skill and depth in the field.
- Authoritativeness is the degree to which others recognize you as a go-to source.
- Trust is the overall reliability of the site, its claims, and its business.
Trust is the anchor. The other three feed into it.
How it maps to AI
An AI assistant deciding whom to recommend is solving the same trust problem a search engine solves. The evidence that lifts your E-E-A-T, such as clear authorship, real credentials, corroborating coverage, and being an unambiguous entity, is the same evidence that supports brand authority and depth of topical authority. Being cited alongside recognized leaders through co-citation reinforces it further. For the practical playbook, see how to get cited by AI.
Frequently asked questions
Is E-E-A-T a ranking factor?
Not a single measurable score. It is a framework Google's guidelines use to describe quality, and many concrete signals feed into it. Even though it is not one dial, the signals behind it clearly influence how systems treat your content.
How does E-E-A-T relate to AI visibility?
AI engines face the same problem search does: deciding whom to trust. The evidence of experience, expertise, authority, and trust that lifts E-E-A-T is the same evidence that makes a model comfortable naming and citing you. The disciplines overlap heavily.
What is the extra E for?
The first E, Experience, was added to emphasize first-hand, lived knowledge of a topic. It distinguishes content written by someone who has actually used or done the thing from content that merely aggregates other sources.
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