The two Es in E-E-A-T stand for Experience and Expertise; A and T stand for Authoritativeness and Trust.
Google uses these four qualities to judge whether content and the people behind it deserve belief. The framework comes from Google's Search Quality Rater Guidelines, the manual its human raters follow when they grade search results. E-E-A-T is a quality standard. Google doesn't give your page an E-E-A-T score.
For SEO content marketers, E-E-A-T is the evidence on and around a page that its author knows the subject and can be believed. That evidence shows up in bylines and in content marketing with cited sources and first-hand detail. It also shows up in what other sites say about you. Raters judge what you publish.
Each of the four letters asks its own question about the content and its creator. Google added the first E for Experience in the December 2022 update to its rater guidelines.
Has the creator actually used the product or lived through the situation? A hotel review from a guest who stayed there is worth more than one pieced together from photos.
Does the creator have the knowledge the topic needs? A tax guide calls for formal training. For a sourdough recipe, years of baking can be enough.
Do people treat the creator or site as a go-to source on the subject? Reputation decides this through reviews from others and their citations or mentions.
Is the page accurate and honest? Google's guidelines put trust at the center and warn that "untrustworthy pages have low E-E-A-T" no matter how strong the other three look.
E-E-A-T affects visibility because Google designs its ranking systems to reward the pages raters judge high quality. Raters' scores show Google whether an algorithm change surfaces better pages. The stakes go up for "Your Money or Your Life" (YMYL) topics such as health or finance. For those topics, Google says its systems give even more weight to strong E-E-A-T.
E-E-A-T isn't a confirmed ranking factor in the sense of one measured signal. Google Search Central says "E-E-A-T itself isn't a specific ranking factor", and adds that "using a mix of factors that can identify content with good E-E-A-T is useful." In 2019, Danny Sullivan of Google described it as working through "a variety of signals as a proxy". You can strengthen those signals.
E-E-A-T carries into AI search because answer engines pull from sources that already look credible. Google's AI Overviews sit on top of the same index and quality systems as its regular results. ChatGPT and Perplexity don't publish their selection rules. Even so, a page with a named author and cited sources gives any system more facts it can check.
Google evaluates E-E-A-T through human raters who score sample results against the guidelines and algorithms that look for signals that match those human judgments. Raters read the main content and look up who runs the site. Then they search for independent reviews and news about the creator. Algorithms rely on proxies such as links and brand mentions. Check whether your author's name leads to a real profile elsewhere.
Picture two pages on managing type 2 diabetes. The first has no author and offers generic tips with no sources. The second, written by a named endocrinologist, shows when it was last reviewed and cites clinical guidelines. Raters score the second page higher on every letter. Because the topic is YMYL, that gap counts for more.
You build E-E-A-T by showing real experience on the page and making it easy to check who's behind it. Start with these content planning steps:
These terms come up next to E-E-A-T, and each one covers a different part of search quality:
Once you know what E-E-A-T is, open one of your own pages and ask which of the four letters a stranger could verify from it.
Look up more AI search and SEO terms in our glossary.