E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness: the four qualities Google's search quality raters use to judge whether a page comes from a credible source on its topic. Google calls trust the most important of the four, and says E-E-A-T is not a ranking factor in itself but a description of what its ranking systems try to reward.
How E-E-A-T works
The term comes from Google's Search Quality Rater Guidelines, the handbook for the people who rate the quality of Google's results. The edition dated 11 September 2025 defines each part:
- Experience: first-hand or life experience of the topic, such as a product review written by someone who has actually used the product.
- Expertise: the knowledge or skill the topic calls for.
- Authoritativeness: being known as a go-to source for the topic, as the official government passport page is for renewing a passport.
- Trust: how accurate, honest, safe and reliable the page is. The guidelines put trust at the center and say an untrustworthy page has low E-E-A-T however expert it seems.
Raters do not set rankings. Google says rater data is not used directly in its ranking algorithms; it tells Google whether its systems seem to be working, the way feedback cards from diners help a restaurant. The systems themselves weigh a mix of signals that line up with E-E-A-T, and give strong E-E-A-T even more weight on "Your Money or Your Life" topics, the ones that can affect people's health, financial stability or safety, or the well-being of society.
Google's self-assessment boils this down to three questions. Who created the content, and is there a byline where readers would expect one? How was it made, for example how many products a review tested and how? Why does it exist: to help people, or mainly to attract search visits?
Why E-E-A-T matters for AI answers
Google says its generative AI features, including Google AI Overviews and Google AI Mode, are rooted in its core ranking and quality systems, so the same standards carry over. Its May 2026 guide to optimizing for those features asks for non-commodity content and names a first-hand review as an example of a unique point of view, which is the experience part of E-E-A-T.
Microsoft points the same way. Introducing AI citation reporting in Bing Webmaster Tools in February 2026, covering Copilot and Bing's AI summaries, it told publishers that examples, data and cited sources help build trust when content is reused in AI answers. The practical version is in our guide on how to write content that AI engines cite.
An example: tax returns and tax software
When Google added the extra E on 15 December 2022, it used tax help to show why experience matters. A person filling in a tax return probably wants content from an accounting expert. A person choosing tax preparation software may be better served by a forum discussion among people who have used different services. Both can be trustworthy sources: one leans on expertise, the other on experience.
Common misconceptions
- "E-E-A-T is a score." Google says E-E-A-T itself is not a specific ranking factor. It describes the qualities that a mix of signals looks for.
- "Raters can push a site down." Rater judgments do not change rankings directly. Google uses them to check whether its systems are doing their job.
- "Every page needs all four." Google says content does not have to demonstrate all of them. Some pages help through the experience they show, others through the expertise they share.