GlossarySEO
E-E-A-T meaning: what it stands for and how Google uses it
Also called: EEAT, E-A-T, experience expertise authoritativeness trust
Definition
E-E-A-T stands for experience, expertise, authoritativeness and trust. Google's quality raters use it to judge content, with trust the most important part. It isn't a single ranking factor, but Google's systems look for signals of it.
E-E-A-T, explained
The idea comes from Google's Search Quality Rater Guidelines, the handbook for the people who rate Google's search results (the current version is dated September 11, 2025). Raters can't change any page's ranking; Google says it uses their feedback the way a restaurant uses diners' feedback cards, to check that its systems work. The extra E, experience, was added in December 2022, when E-A-T became E-E-A-T.
The guidelines define the parts. Trust is whether a page is accurate, honest, safe and reliable, and it is "the most important member of the E-E-A-T family because untrustworthy pages have low E-E-A-T no matter how Experienced, Expert, or Authoritative they may seem". Experience is first-hand or life experience with the topic. Expertise is the knowledge or skill the topic needs. Authoritativeness is being known as a go-to source for it.
Google's helpful content guide says E-E-A-T "isn't a specific ranking factor". Its systems use a mix of factors that can help identify content that shows it, and give even more weight to strong E-E-A-T on "Your Money or Your Life" topics. Those are topics that could significantly affect health, financial stability or safety, or the welfare of society. Content doesn't need to show all four; some pages help through experience, others through expertise.
In practice, for a startup, E-E-A-T is less about credentials and more about proof. Raters weigh what a site says about itself (About and contact pages), what others say about it (independent reviews and references) and what is visible on the page.
So show who wrote a page and why they know the topic, use first-hand detail (screenshots, real numbers, what you tried and what failed), and cite sources. The guidelines say a site that handles personal data, such as accounts or payments, must provide extensive contact information. Google also asks Who, How and Why: who made the content, how (including whether AI was used, where readers would expect to know) and why it exists.
Honesty is part of trust, so we say our case study is our own product and we wrote up what went wrong with our indexing.
Why it matters for founders
AI-written content is cheap and everywhere, so first-hand experience and verifiable claims are what set a page apart. Sourced, checkable claims are also the ones an assistant can quote with a link back to you.
Example
Two posts explain "how to get indexed faster". One is generic advice. The other shows the author's Search Console chart, the exact change they made and what happened next. The second demonstrates experience, and a reader can check it.
Common mistakes
- Treating E-E-A-T as a checklist of author bios and badges. Google says it isn't a specific ranking factor.
- Anonymous content on health, money or safety topics, where Google's systems give more weight to strong E-E-A-T.
- Statistics without sources, or made-up ones.
- Fake author profiles with AI-generated headshots, invented names or false credentials. Google calls that deception.
- Hiding that content was AI-generated when readers would expect to know.
- Chasing a third-party "E-E-A-T score". Google says outside reputation or authority scores don't correspond to any of its own signals.
Sources
- Google Search Central: Creating helpful, reliable, people-first content
- Google: Search Quality Rater Guidelines (September 11, 2025)
- Google Search Central Blog: E-A-T gets an extra E for Experience (December 2022)
Checked · Updated
Related terms
- Helpful contentHelpful content is Google's term for people-first content: made mainly to help readers rather than to attract search traffic. Since March 2024, Google judges helpfulness inside its core ranking systems, not through a separate update.
- Search Quality Rater GuidelinesThe Search Quality Rater Guidelines are Google's public handbook for the human raters who evaluate search results. Raters' scores help Google measure its systems but don't directly change any page's ranking.
- Author bylineAn author byline is the line that names who wrote a piece of content, usually linking to an author page or bio that explains their background and why they're qualified to write about the topic.
- Original researchOriginal research is content built on information you produced yourself, such as survey results, product data, experiments, benchmarks or first-hand tests, rather than summarizing what others have already published.
- Scaled content abuseScaled content abuse is a Google spam policy against generating many pages mainly to manipulate search rankings rather than help users, whether the pages are made by AI, people, scraping or a mix.
- LLM citationAn LLM citation is a link or named source that an AI assistant shows alongside its answer to say where information came from. Being cited sends referral traffic and signals that your page was trusted.