E-E-A-T for AI search, showing experience and earning trust

What is E-E-A-T?

E-E-A-T stands for experience, expertise, authoritativeness and trust. It is the set of qualities Google uses to describe content that deserves to be shown to people.

The idea comes from two places. Google's guide to creating helpful, reliable, people-first content explains it for site owners. The Search Quality Rater Guidelines explain it in much more detail for the people Google pays to rate search results.

Each letter covers something different.

• Experience. Has the author done the thing, used the product or lived through the situation?
• Expertise. Do they have the knowledge or skill the topic needs?
• Authoritativeness. Are they, or the website, a known go-to source for the topic?
• Trust. Is the page accurate, honest, safe and reliable?

Is E-E-A-T a ranking factor?

Not as a single score. Google says E-E-A-T itself is not a specific ranking factor. It also says its systems use a mix of factors that can identify content with good E-E-A-T.

That distinction matters. There is no E-E-A-T setting you can switch on, and no plugin that adds it. It is the sum of many signals, such as who wrote a page, what others say about the site, and whether the facts hold up.

The rater guidelines are not a ranking system either. Google's overview of the guidelines says no single rating, or single rater, directly affects how a page ranks. Ratings are used in aggregate to check how well Google's systems are working. Read the guidelines as a description of what Google is aiming for.

Does E-E-A-T apply to AI Overviews and AI Mode?

Yes. Google's guide to generative AI features says those features are rooted in its core Search ranking and quality systems. The same guide asks for non-commodity content that is helpful, reliable and people-first.

So the signals that help a page rank in normal results are the same ones behind AI Overviews and AI Mode. A page that shows real experience and earns trust is more likely to be chosen as a source. The AI Overviews guide covers the other parts of that picture.

Does E-E-A-T matter for ChatGPT, Perplexity and Claude?

The idea matters, even though the term is Google's. OpenAI, Perplexity and Anthropic have not published quality guidelines like Google's.

What we do know is that ChatGPT search and Perplexity cite pages they find through web search. Pages that rank well and get referenced by others tend to be the ones picked up. Those are usually pages with named experts, specific detail and a good reputation. The article on how AI engines choose sources goes into this in more depth.

There is also a model knowledge side. When an engine answers without searching, it relies on what it learnt in training. A business that is described accurately and often by trusted sources is more likely to be described accurately by the model.

Why does trust matter most?

Because the other three qualities only count if the content is trustworthy. Google's guidance says trust is the most important part of E-E-A-T. The rater guidelines go further. They say untrustworthy pages have low E-E-A-T no matter how experienced, expert or authoritative they seem.

For AI search, trust has a very practical side. AI engines that repeat wrong facts about your business do real harm. Wrong prices, old opening hours or services you no longer offer all damage trust, even when the mistake started elsewhere. Keeping your facts accurate and consistent everywhere is part of E-E-A-T, even if it does not feel like content work.

The rater guidelines define trust as the extent to which a page is accurate, honest, safe and reliable. That is a useful checklist for any page you publish.

How do you show experience in your content?

Write what only someone who did the work would know. That is the clearest sign of experience, and it is hard to fake.

The rater guidelines ask whether the content creator has the necessary first-hand or life experience for the topic. Think about what that looks like in practice.

• A roofer explaining what they found when they lifted the tiles on a 1930s semi.
• A dentist describing what patients most often ask at an implant consultation.
• A B2B software company showing real setup steps with screenshots from its own product.
• A training academy explaining what trainees find hardest in week one.

Compare that with a page that restates what every other site says. Google's AI guide calls for content that provides value beyond common knowledge. Photos from real jobs, worked examples and honest limits all help.

How do you show expertise and authority?

Name the people behind the content and make their background easy to check. Google's helpful content guide asks who created the content and suggests bylines and author background.

A practical setup looks like this.

1. Give each author or reviewer a bio page with their role, qualifications and experience.
2. Put their name on the articles they write or check, linked to that bio.
3. Mark them up as Person entities linked to your organisation. The schema markup guide has an example.
4. Link each bio to their profiles elsewhere, such as LinkedIn or a professional register.
5. Keep the same name and details on every site where they appear.

Authority builds over time and mostly comes from outside. It grows when others cite your work, invite your experts to speak, or list you as a trusted provider. It is closely tied to how clearly you exist as an entity, covered in the guide to entity SEO for AI search.

What do others say about you, and why does it matter?

Reputation is judged by what independent sources say, not by what you say about yourself. The rater guidelines tell raters to look for independent reviews, references, recommendations by experts and news articles.

AI engines behave in a similar way. When asked who the best provider is, they often cite review sites, directories, forums and news. If those sources are thin, out of date or negative, your own pages cannot fully make up for it.

That makes reputation work part of E-E-A-T. Ask happy customers for reviews. Keep directory listings accurate. Respond to criticism calmly and in public. Take part in industry bodies and events where your experts can be named.

Do some topics need higher standards?

Yes. The rater guidelines use the term YMYL, or your money or your life. It covers topics that could significantly affect people's health, financial stability or safety, or the wellbeing of society.

Pages on those topics are held to very high standards. A medical aesthetics clinic, a financial adviser or a firm giving safety advice needs to be especially careful. Named, qualified authors, cited evidence and clear reviews by professionals matter more here than anywhere else.

If you work in a regulated industry, check claims against the rules that apply to you before publishing. An AI engine repeating an overstated claim from your site is a problem you do not want.

How Axiom GEO helps

Answer accuracy, on the Professional plan and above, checks each claim AI engines make about your business against an approved fact sheet. That shows where trust is being damaged by wrong or out of date details, and links each claim to the page the engine cited where one exists. The entity audit checks whether your authors are published as Person entities connected to your organisation. AI citation tracking shows which review sites, directories and news sources engines rely on in your topic, so you know where reputation work will count.