E-E-A-T describes experience, expertise, authoritativeness, and trust signals that help assess whether content is helpful and reliable for people.
Decision rule and boundaries
E-E-A-T describes experience, expertise, authoritativeness, and trust signals that help assess whether content is helpful and reliable for people. E-E-A-T is a framework for judging helpful, reliable content, not a numeric score or a single technical signal. Trust is especially important, and evidence of experience or expertise must be relevant to the claim being made.
How to inspect it
Review a page claim by claim: can a reader see who is responsible, what supports the assertion, when material changed, and where an important qualification belongs? Check the visible page, not only hidden metadata.
Practical workflow
For a technical explainer, disclose the scope of a test, cite the primary specification or documentation, and distinguish observation from advice. Add author context only when it accurately explains why the person can make the claim.
Common mistakes and measurement limits
Badges, biographies, and schema cannot manufacture expertise. They can make genuine accountability easier to inspect, but they do not prove quality or guarantee visibility. The common failure mode is turning E-E-A-T into a numeric score or presenting badges as proof of quality.