Glossary

E-E-A-T is Google's shorthand for whether content deserves to be trusted

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness: the four qualities Google's Search Quality Rater Guidelines use to judge content and the people or organisations behind it. It is not a single ranking score sitting on a page. It is a standard Google's human raters apply by hand, that its algorithms are trained to approximate, and that increasingly describes what any system deciding what to cite is actually judging for.

Definition

E-E-A-T is the set of four quality signals, Experience, Expertise, Authoritativeness, and Trustworthiness, defined in Google's Search Quality Rater Guidelines for evaluating content and its source. It is not a direct, isolated ranking factor. It is a standard for judgment that shapes both how Google's raters score search results by hand and how AI systems assess whether a source is safe to repeat.

What each letter actually means

Experience is the newest of the four, added to the guidelines in December 2022. It asks whether the author has actually done the thing they are writing about: used the product, visited the place, worked in the field, rather than assembled the piece from other people's writing.

Expertise is demonstrable knowledge of the subject, through credentials, a track record, or content specific enough that only someone who understood the topic could have written it. Authoritativeness is external: whether other credible sources treat this person or site as a reference worth citing, rather than the site's own claim to be one.

Trustworthiness sits underneath the other three. Accurate, transparent content from an identifiable author, on a site that discloses who runs it and how to reach them, is what makes the first three signals worth anything. Content can show experience and expertise and still fail on trust if the site itself is opaque.

Why it is not a switch you flip

There is no E-E-A-T field in a page's metadata and no single number Google computes from it. The guidelines exist to train human quality raters, who sample search results and judge them against this standard, and that judgment feeds back into how Google trains and evaluates its ranking systems generally.

That makes E-E-A-T diffuse by design. It shows up as a pattern across many small signals, a named author, consistent facts, external recognition, rather than as one setting a business can toggle on. Anyone selling a specific technical fix that guarantees better E-E-A-T is selling more certainty than the framework has ever claimed to offer.

Consistency over time

Trust is not asserted once. It accumulates from the same facts holding up everywhere a source is checked.

Why AI answer engines care about it too

A search results page can list ten links and let the reader judge between them. An AI answer usually names one source, or a small handful, and states their claim as though it were settled. That is a sharper trust decision than ranking ever required, made with less room to hedge.

E-E-A-T is Google's own name for the judgment behind that decision, but the underlying problem is not Google-specific. Any system assembling an answer from a source has to decide whether that source is credible enough to repeat, and the same four qualities, demonstrated experience, real expertise, outside recognition, and verifiable trust, are what that judgment is actually made of regardless of which engine is doing the judging.

0.664

Correlation between branded web mentions and being named by AI, against 0.218 for backlinks across 75,000 brands. The authors caveat that correlation is not causation, and the sample skews to established domains.

Ahrefs, 75,000 brands

How a business actually demonstrates it

Name a real person behind the content rather than publishing under a department or a brand voice alone. State direct experience or relevant credentials where they genuinely exist, and skip the claim where they do not; an overstated credential is a trust failure, not a trust signal.

Keep the facts identical everywhere the business appears: the same name, category, and description on the website, on directories, and in any press mention. This is the same ground entity SEO covers, and it is the cheapest of the four qualities to fix, because it is a matter of removing contradictions rather than manufacturing new proof.

Where proof exists, show the working rather than asserting the conclusion. A proof trail that a reader, or a crawler, can actually verify does more for trustworthiness than a stated claim of trustworthiness ever will.

Common questions

What does each letter in E-E-A-T stand for?

Experience, Expertise, Authoritativeness, and Trustworthiness. Experience means the author has actually done the thing they are describing. Expertise is demonstrable knowledge of the subject. Authoritativeness is being recognised as a source by other credible sites. Trustworthiness covers accuracy, transparency, and whether the content and the site around it can be verified.

Is E-E-A-T a Google ranking factor?

Not directly. There is no single E-E-A-T score attached to a page. It is a standard from Google's Search Quality Rater Guidelines that human raters use to judge content quality, and Google's ranking systems are trained to approximate that same judgment at scale.

Does E-E-A-T apply to AI answer engines, not just Google Search?

The letters are Google's own terminology, but the underlying problem is universal. Any system deciding which source to cite or recommend, an AI Overview, ChatGPT, Perplexity, needs a way to judge whether a source is credible before repeating what it says. E-E-A-T is the most detailed public description of what that judgment looks like.

How can a small business demonstrate E-E-A-T signals?

Name a real author or founder rather than publishing anonymously. State credentials or direct experience where they exist. Keep facts, the business name, category, and description, identical everywhere the business appears online. Make claims specific and checkable rather than vague. None of this requires a large team, and inconsistency is easier to fix than most businesses assume.

Is E-E-A-T the same as topical authority?

They overlap but answer different questions. E-E-A-T asks whether a specific piece of content and its author are credible. Topical authority asks whether a whole site has covered a subject in enough depth to be trusted on it broadly. A page can show strong E-E-A-T signals on a site that otherwise has thin topical authority, and vice versa.

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