What is E-E-A-T? Experience, expertise, authoritativeness and trust

E-E-A-T stands for experience, expertise, authoritativeness and trust, the qualities Google uses to judge reliable content. Why it matters in AI search.

  • Alvaro Peña de Luna Alvaro Peña de Luna
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    Wednesday, Sep 30, 2026

E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, the four qualities Google's Search Quality Rater Guidelines use to judge whether content and the people behind it are reliable. It is not a single ranking factor or score but a framework that describes what Google's ranking systems aim to reward, with trust as its most important part.

For brands, E-E-A-T is a useful checklist for a simple question: would a careful reader, human or machine, trust this page enough to repeat what it says?

What each letter means

  • Experience: first-hand knowledge of the subject. A review by someone who used the product, a guide by someone who did the job.
  • Expertise: the knowledge or skill needed for the topic. Formal credentials matter more for medical or financial advice than for a hobby.
  • Authoritativeness: being a recognized go-to source for the topic, shown by how others reference the site and its authors.
  • Trustworthiness: accuracy, honesty, transparency about who is behind the site and safety. Google describes it as the most important of the four.

Google uses thousands of quality raters who assess search results against its guidelines. Their ratings do not change rankings directly; they help Google evaluate whether its ranking systems are surfacing helpful, reliable content. Google added the first E, experience, in December 2022.

The bar rises with the stakes. Topics that can affect a person's health, finances or safety, which the guidelines call "Your Money or Your Life", are held to a higher standard of E-E-A-T. Google summarizes how to apply it in its guide to creating helpful, reliable, people-first content.

Google's AI Overviews and AI Mode are built on Google Search, and Google's guidance on AI features says the same SEO best practices apply to them. The content Google's systems treat as reliable in Search is the content those features have to draw on.

ChatGPT and Perplexity do not publish how they choose sources, and nobody outside those companies can tell you they score E-E-A-T. What is clear is that an answer engine that quotes a page is lending it credibility. Pages with named authors, first-hand evidence, cited sources and a good reputation elsewhere are the pages that hold up when quoted. The same signals also shape the third-party content, reviews and articles, that engines read when they describe your brand.

How to show E-E-A-T on your site

  • Named authors with real bios. Link each article to an author page that explains their experience with the topic.
  • First-hand evidence. Your own tests, photos, data and examples show experience that a summary of other sources cannot.
  • Sources for claims. Cite where facts and figures come from.
  • Transparency. Clear about, contact and policy pages, and who owns the site.
  • Up-to-date content. Review key pages and say when they changed.
  • Consistent entity data. Organization and Person markup (see structured data for AI) ties content to the people and company behind it.
  • Reputation beyond your site. Reviews, press coverage and expert mentions are how authority is seen from outside.

How to check what AI engines say about you

No tool can measure E-E-A-T directly, but you can see how its outcome reaches AI answers: whether engines name you and in what tone. Mencoro classifies the tone of every mention of your brand in ChatGPT, Perplexity, Google AI Overview and Google AI Mode answers as positive, neutral or negative, and sums it up as Favorability:

Favorability = (positive + ½ × neutral) ÷ all mentions × 100

Example: 12 positive, 6 neutral and 2 negative mentions give (12 + 3) ÷ 20 × 100 = 75. A score of 50 means your mentions balance out to neutral. Mencoro also records the sources each answer cites, so you can see which third-party pages shape how engines describe you. See AI brand monitoring for how it works in the app.

Common mistakes

  • Treating E-E-A-T as badges. Author boxes and trust seals do not help if the content itself shows no experience.
  • Invented or anonymous authors. A stock photo and a made-up name undermine the trust they are meant to build.
  • Mass-produced content with nothing first-hand. Rewriting what already ranks adds no experience and no reason to quote you.
  • Ignoring off-site reputation. What reviews and the press say about you often carries more weight in answers than what you say about yourself.

FAQ

Frequently asked questions

Not directly. Google has said E-E-A-T is not a specific ranking factor, and that the quality raters who assess it do not change rankings themselves. Google's systems use a mix of signals to identify content that shows good E-E-A-T, so it describes what those systems aim to reward.
E-A-T stood for expertise, authoritativeness and trustworthiness. In December 2022 Google added experience to its Search Quality Rater Guidelines, recognizing first-hand knowledge (having used the product or visited the place) as a separate quality from formal expertise.
Trust. Google describes it as the most important member of the group: experience, expertise and authoritativeness all feed into whether a page can be trusted. A page can be written by an expert and still be untrustworthy if it is inaccurate or deceptive.
E-E-A-T is Google's framework, and other engines do not publish how they choose sources. But the signals behind it, named authors, first-hand evidence, cited sources and a good reputation on other sites, are the same things that make a page credible enough to quote in any answer.

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