Glossary · Beginner
What Is E-E-A-T? Definition and Example
E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, the qualities Google uses to describe helpful, reliable content. It comes from Google's Search Quality Rater Guidelines and its helpful content guidance. It isn't a single score, but it's a useful checklist for content that people, search engines and AI systems can trust.
On this page
- What does each letter mean?
- Is it a ranking factor?
- Why does it matter for GEO?
- How do you show E-E-A-T?
- From MentionX data: what engines cite
- Worked example: Ledgerline's guide to three-way matching
- Why is trust the most important part?
- Does E-E-A-T apply to every topic equally?
- How does it relate to AI-generated content?
- Common questions
- Related
Checked on 31 October 2026. "Our view" marks MentionX opinion. Ledgerline is a fictional company used for illustration.
What does each letter mean?
| Letter | Meaning | Signals (examples) |
|---|---|---|
| Experience | First-hand experience of the topic | Original photos, tested results, "we tried this" detail |
| Expertise | Knowledge or skill | Qualified authors, accurate depth |
| Authoritativeness | Recognised as a go-to source | Citations and mentions from others in the field |
| Trustworthiness | Accurate, honest, safe | Sources, clear ownership, contact details, corrections |
The rater guidelines describe trust as the most important member of the family.
Is it a ranking factor?
Not directly. Google's guidance says its systems use a mix of factors to identify content that demonstrates E-E-A-T, and that quality raters' ratings don't directly affect rankings (Google). Treat it as a description of what Google is aiming for, not a box to tick.
Why does it matter for GEO?
Google states that its AI features, such as AI Overviews, use the same systems as Search (Google), so content that demonstrates E-E-A-T is more likely to be surfaced there too. Other AI engines don't publish their criteria, but clear authorship, sources and first-hand evidence make content easier for any system to rely on.
How do you show E-E-A-T?
- Name the author and link to a real author page
- Cite primary sources
- Show first-hand experience: tests, screenshots, data
- Make ownership and contact details clear
- Keep content updated and date reviews
- Publish an editorial policy
From MentionX data: what engines cite
Method. Read-only aggregate queries over MentionX scans from 22 August to 29 October 2026 (UTC): 2,217 engine runs (2,154 completed) across 18 anonymised projects and six engines.
E-E-A-T can't be measured directly, but we can see which kinds of pages AI engines cite. In MentionX data (22 Aug–29 Oct 2026, 2,217 runs, 18 projects), cited URLs fell into these types:
| Cited URL type | Share of 9,750 citations |
|---|---|
| Blog or article | 19.6% |
| Homepage | 10.0% |
| Review page | 2.7% |
| Docs | 2.6% |
| Pricing | 1.9% |
| Wikipedia | 1.6% |
Blog posts and articles were cited most, followed by homepages. Review sites, documentation and Wikipedia appeared less often but carry trust signals of their own: independent opinions, precise facts and editorial oversight.
Our view: our data shows what's cited, not why, so it can't prove E-E-A-T causes citations. It does fit the idea that substantive, well-sourced pages are what engines rely on. We have no data for Google's AI Overviews.
Limits. A convenience sample of mostly B2B software projects, run through engine APIs, which can behave differently from the consumer apps. Perplexity, Copilot and DeepSeek figures come from a single day (26 October 2026), so treat them as a snapshot, not a trend.
Worked example: Ledgerline's guide to three-way matching
Ledgerline is a fictional accounts-payable tool. Figures are illustrative.
Ledgerline, a fictional accounts-payable tool, rewrites its guide to three-way matching. The old version was anonymous and generic. The new one is written by its head of implementation, who has set up the process for many finance teams, with a short author page listing that experience.
It adds a worked example with fictional numbers, screenshots of a real setup, links to the primary standards it references and a "last reviewed" date. Ownership and contact details are clear in the footer, and an editorial policy explains how guides are checked.
Why is trust the most important part?
Google's rater guidelines describe trust as the most important member of the family (Google). Experience, expertise and authority all support it. A page from an expert can still be untrustworthy if it's inaccurate, hides who's behind it or makes claims it can't support.
Does E-E-A-T apply to every topic equally?
No. The guidelines ask for higher standards on topics that could affect health, finances, safety or society. A finance or medical page needs stronger evidence of expertise and trust than a hobby page. Judge how much evidence a page needs by what's at stake for the reader.
How does it relate to AI-generated content?
Google says it rewards helpful content however it's produced, and judges it by quality, not by how it was made (Google). AI-assisted pages still need experience, accurate sources and someone accountable for them. Content generated at scale with little value can count as spam.
Common questions
Do I need author bios on every page? On articles and guides, yes. Readers and systems use them to judge expertise.
Can a company page show E-E-A-T? Yes, through clear ownership, contact details, policies and evidence such as certifications.
Related
Questions
Is E-E-A-T a ranking factor?
Google describes it as a set of qualities its systems aim to reward, not a single score. Raters use it in evaluations, and those evaluations don't rank pages directly.
Which part matters most?
Google's Search Quality Rater Guidelines describe trust as the most important member of the E-E-A-T family.
Does E-E-A-T matter for AI answers?
Google says its AI features rely on the same core ranking systems as Search, so the same quality signals apply there.