AI search glossary
E-E-A-T
E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, a framework from Google’s search quality rater guidelines. E-E-A-T is a description of what human raters are asked to assess, not a metric a page carries and not something an algorithm computes, which is the distinction most advice about it loses.
Why is E-E-A-T not a ranking factor?
Because it is a rubric for people. Quality raters read pages and score them against the guidelines, and their scores are used to evaluate whether changes to the system improved results, not to rank any individual page. There is no E-E-A-T field on a document and no way to raise a number that does not exist.
Google has been unusually direct about one of the tactics built on it. Its own line on author bylines is that they “aren’t something you do for Google, and they don’t help you rank better”, and after several years of the tactic being standard advice no controlled test has shown author markup lifting rankings or citations.
What is worth doing anyway?
The parts that serve a reader or resolve an entity, done for those reasons rather than for a score. A real named author with a real bio page, Person markup whose sameAs points at profiles that genuinely exist, visible dates that match the markup, and outbound citations to the primary sources you actually used. None of that is a lever; all of it is the difference between a page somebody trusts and a page somebody checks.
The one rule with teeth: never invent a sameAs URL to fill the field. A wrong profile link does not fail quietly, it resolves your author to somebody else, which is worse than having no markup at all. The same applies to the byline itself. An author invented to satisfy a checklist is a person who does not exist attached to advice somebody might act on, and it is the one E-E-A-T tactic with a real downside rather than merely a null result.
Does E-E-A-T translate to AI answers?
Not as a mechanism, and something adjacent to it does. No assistant documents anything resembling E-E-A-T, and none of them can see your author bios in a way that has been demonstrated. What does correlate with AI visibility, in Ahrefs’ study of 75,000 brands, is being talked about: branded web mentions at 0.664 against backlinks at 0.218.
Read carefully, that is not a vindication of E-E-A-T tactics but it does point the same direction. Being a named, discussed, checkable entity across the web is what shows up in the data, and author pages are one small contributor to that rather than the mechanism itself. The one E-E-A-T-adjacent thing worth real effort is first-hand specificity, and it is not a markup decision. “We ran this on forty sites and found” is a sentence a competitor cannot paraphrase into their own page, and it is the part of the framework that survives every deflation.
Related terms
- Entity (SEO)An entity is a distinct thing a search system has identified and can reason about: a company, a person, a product, a place.
- Knowledge GraphThe Knowledge Graph is Google’s database of entities and the relationships between them: people, companies, places, works and the facts connecting them.
- Unlinked Brand MentionAn unlinked brand mention is a reference to your brand in someone else’s content with no hyperlink attached.
- Digital PRDigital PR is the practice of earning coverage on other people’s websites, historically to acquire backlinks.
This definition of E-E-A-T was checked against the following sources. Definitions are reviewed quarterly and edited only when they are wrong, so the reviewed date above moves on a real correction and not on a schedule.
- Ahrefs: what correlates with AI Overview brand visibility, 75,000 brands, 26 May 2025, read 18 August 2026
- Google Search Central: creating helpful, reliable, people-first content, read 18 August 2026
Every entry is listed on the RankX AI glossary index, and this page is available as Markdown at /glossary/e-e-a-t.md.
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