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Glossary · Definition

E-E-A-T

E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, the qualities Google's search quality guidelines ask human evaluators to look for when judging whether content and its publisher deserve trust.

Last updated September 28, 2026

What it is and what it is not

The framework appears in Google's Search Quality Rater Guidelines, the document given to contractors who rate search results to help Google evaluate its systems. The original version was E-A-T. Google added the first E for experience in late 2022, to recognize first-hand knowledge such as having used a product or lived a situation. Google has said that E-E-A-T is not a single ranking factor and that raters' scores do not directly change rankings. Its systems use many signals that align with the idea of helpful, reliable content, so the framework is best read as a description of what Google is trying to reward and not as a checklist.

What the four parts look like in practice

Experience is shown by first-hand detail, such as original photos, test results or a described process. Expertise is shown by qualified authors and accurate, complete content. Authoritativeness comes from recognition by others in the field, such as citations and coverage. Trust is treated as the most important part, and it depends on accuracy, transparency about who publishes the page, clear sourcing and safety where a page could affect health, money or safety.

Example

A hypothetical example: a company publishes a reference page on a chemical it produces. A page with a named toxicologist as author, a review date, links to regulatory sources and a way to contact the company signals more trust than an unsigned page of promotional text. The first is also easier for a reporter or an AI assistant to cite with confidence.

Why it matters to communications and risk teams

Comms teams control many of the pages that others use to describe the organization: newsrooms, leadership bios, policy statements and fact sheets. Writing them with named authors, dated updates, sourced claims and clear contact routes helps both readers and search systems. The same qualities influence what AI assistants cite, though the link between E-E-A-T and any given assistant's behavior is not documented. Treat the connection as a plausible working assumption and test it. See generative engine optimization and source credibility.

Applying it to a newsroom or fact page

Start with the pages that others quote most often. Add named authors with short bios, publication and update dates, links to primary sources, and a contact for corrections. Remove claims that cannot be supported. Then check whether the changes are visible without scripts and whether the pages load quickly and can be crawled. These are basic steps, and they do not promise a specific outcome.

Common misconceptions

E-E-A-T is not a score you can check for a page, and no tool can report it directly. Adding an author name or badge does not create expertise. It also does not apply only to health and finance topics, although the bar is highest there. And it does not replace basic technical quality: a trustworthy page that cannot be crawled or found does not help.

See how these signals show up in your own coverage on the PeakMetrics platform or run the free AI Perceptions check. Back to the glossary.

Track these signals in your own coverage.

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