AI search glossary
E-E-A-T: Google's experience, expertise, authority and trust
E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness: the qualities Google's search quality raters use to judge whether a page is reliable and helpful, with trust named as the most important.
Also called: EEAT, E-A-T, Double-E-A-T, experience expertise authoritativeness trustworthiness
Why it matters for AI search
AI search answers are built from pages the engine already trusts. Google's AI Overviews cite pages from its normal Search index, where ranking systems aim to reward content showing E-E-A-T, and other assistants favour sources with clear authorship and consistent facts. Clear signals of who wrote a page and why it can be trusted make it a safer source to quote.
What each letter means
| Letter | Question it asks | Example signal |
|---|---|---|
| Experience | Has the author done the thing? | Photos from actual use, results from a real project |
| Expertise | Does the author know the subject? | Qualifications, depth, accuracy |
| Authoritativeness | Is the source a go-to for this topic? | Others cite and recommend it |
| Trustworthiness | Is the page accurate, honest and safe? | Clear ownership, contact details, sources, correct facts |
Google's helpful content guidance says trust is the most important of the four, and the other three feed into it. A page can be helpful because of experience alone, such as a forum post from someone who used a product, even without formal expertise.
How Google uses it
E-E-A-T comes from Google's Search Quality Rater Guidelines. Raters are people who review sample results and report whether Google's ranking systems seem to surface good pages. Google is explicit that raters have no control over rankings and their data is not used directly in ranking algorithms. It compares them to feedback cards in a restaurant.
So E-E-A-T is not a score on your page. It describes what Google's automated systems try to reward. Google gives it more weight for "Your Money or Your Life" topics, those that could affect health, finances, safety or the welfare of society.
Who, how and why
Google suggests three self-checks:
- Who created the content? Bylines that link to an author page help.
- How was it made? Explain testing methods, and disclose automation or AI use where readers would expect it.
- Why does it exist? It should be made mainly to help people, not to attract search visits.
E-E-A-T and AI answers
Google's AI Overviews and AI Mode cite pages that are indexed and eligible for a snippet in classic Search, and Google says the same fundamentals apply, so the signals that support E-E-A-T also shape which pages are likely to be cited there (see Google AI Overviews). Other engines do not use the term, but reward the same evidence: named authors, consistent entity facts and independent brand mentions.
Practical steps: add author pages with real credentials, show first-hand evidence, cite sources for numbers, keep facts consistent with your entity profile, and build topical authority by covering your subject in depth rather than chasing unrelated keywords. Earned coverage through digital PR supports the authority part.
Questions
- Is E-E-A-T a Google ranking factor?
- Not directly. Google says E-E-A-T itself is not a specific ranking factor. Its systems use a mix of factors that can identify content with good E-E-A-T, and its quality raters assess E-E-A-T to check whether those systems work.
- When did Google add the extra E?
- On December 15, 2022, Google added experience to its rater guidelines, turning E-A-T into E-E-A-T. It explained that some searches are best served by first-hand experience, such as actually using a product or visiting a place.
- Which part of E-E-A-T matters most?
- Trust. Google says trust is the most important member of the family, and that experience, expertise and authoritativeness all contribute to it. A page does not need to show all four.
- Does AI-written content fail E-E-A-T?
- Not automatically. Google judges the result, not the tool. It does say that mass-produced text without oversight shows little effort, and that fake author profiles or invented credentials are deception and a sign of a low-quality page.
Related terms
Sources
- Google Search Central: Creating helpful, reliable, people-first content
- Google Search Central blog: Our latest update to the quality rater guidelines: E-A-T gets an extra E for Experience (Dec 15, 2022)
- Google: Search Quality Rater Guidelines (PDF)
- Google Search Central: Guidance on using generative AI content on your website