E-E-A-T the signals that make content worth trusting.

E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, the four qualities Google uses to describe content worth trusting. Prefer shows which sources AI engines cite for your buyer prompts, which is the practical view of whose content the engines trust in your category. Google describes E-E-A-T in its guidance on helpful, reliable, people-first content.

The four parts#

• Experience. The creator has first-hand experience of the topic: they used the product, ran the test, visited the place.
• Expertise. The creator has the knowledge or skill the topic needs.
• Authoritativeness. The creator or site is a known go-to source for the topic.
• Trustworthiness. The content is accurate, honest and safe. Google says trust is the most important of the four, and the others contribute to it.

The framework used to be E-A-T. Google added the extra E for experience to its search quality rater guidelines in December 2022.

How E-E-A-T actually works#

E-E-A-T is not a score inside Google’s systems. Google states that E-E-A-T itself isn’t a specific ranking factor. Instead, its ranking systems use a mix of signals that help identify content with good E-E-A-T.

The term comes from Google’s search quality rater guidelines, the handbook human raters use to evaluate results. Google is clear that raters have no control over how pages rank and that rater data is not used directly in its ranking algorithms. The ratings help Google check whether its systems are working.

Why E-E-A-T matters for AI search visibility#

Google says the SEO best practices that apply to Search also apply to its AI features, AI Overviews and AI Mode, and points to helpful, reliable, people-first content. So the same quality signals that help a page rank also help it be a page the AI retrieves.

The other engines do not publish an E-E-A-T framework, so we will not claim they use one. What you can observe is who they cite. When an engine grounds an answer, it picks sources, and those choices tell you which sites it treats as trustworthy for your topic. That is the part you can measure.

A concrete example#

Two pages answer “how long does it take to set up a CRM for a 20 person sales team?”

• Page A is a generic overview with no author, no dates and no numbers.
• Page B is written by a named operations lead, walks through the setup they ran last quarter, gives the real timeline, and links to the vendor docs it relied on.

Page B shows experience, expertise and trust on the page. It is the page a reader would believe, and the one more likely to be quoted.

Common confusions#

• “E-E-A-T is a score I can check.” It is not. No tool can read a Google E-E-A-T score, because one does not exist.
• “An author bio fixes E-E-A-T.” A bio helps readers see who wrote the page, but it does not replace first-hand detail and accuracy.
• “E-E-A-T only matters for health and finance.” Google says its systems give even more weight to strong E-E-A-T on topics that could significantly affect people’s health, financial stability or safety, but trust matters on every page.

How to build it#

1. Name real authors and say why they know the topic.
2. Add first-hand evidence: tested steps, your own data, screenshots.
3. Cite primary sources and keep facts dated and current.
4. Be a clear knowledge graph entity, with the same name and facts everywhere.
5. Earn mentions on the third-party sources engines already cite. See why ChatGPT recommends some brands.

How Prefer helps#

Prefer shows the sources behind each AI answer on your tracked prompts, so you can see which sites the engines trust in your category and where your brand is missing. Run a free AI visibility audit to see how AI engines answer about you today.