Building E-E-A-T on your site

You build E-E-A-T by collecting evidence that a knowledgeable and trustworthy person or company stands behind your site, in the form of author profiles, cited sources, reviews and mentions elsewhere on the web.

Google and AI models cannot establish for themselves whether someone really has experience. They look for signals that point that way: a name that also writes about the same subject in other places, a company that gets named in the press or by customers, an author with a visible track record. The more of those signals sit on and around your site, the easier it becomes to be treated as a reliable source. That makes E-E-A-T different from most SEO techniques, because you build it on your own page and just as much in places where you have no button to change anything. For the definition of E-E-A-T itself, read wat is E-E-A-T.

Why authority weighs more heavily than structure

• Brand mentions beat backlinks. Ahrefs analysed 75,000 brands in 2026 and found that mentions of a brand name across the web correlate 0.664 with AI visibility, against 0.218 for traditional backlinks. A brand that gets named often, even without a link, therefore scores better on average than a brand with plenty of loose links and little name recognition.
• Earned media dominates. Several studies between late 2025 and early 2026, among them research by Muck Rack and a joint analysis by Fullintel and the University of Connecticut, show that between 82 and 89 per cent of AI citations come from earned media, so from independent sources instead of your own channels. Your own blog contributes, though the heaviest evidence comes from elsewhere.
• What this means for your priorities. Time you put into a good interview or a mention in a trade magazine usually returns more for AI visibility than time spent on one more link. That is no reason to drop link building, but it is a reason to stop treating it as the only lever you have.

What you arrange on your own site

• Author profiles. A page per author with a name, a background and earlier work makes it visible who wrote the text. An anonymous text without an author looks as unreliable to a language model as it does to a human reader.
• An honest about page. Tell people who works at the company, how long it has existed and where the experience comes from, instead of a mission statement that says little in concrete terms.
• Cited sources in your content. Point to where a figure or a claim comes from, which strengthens the trust of both the reader and a language model that quotes your page.
• Consistency between pages. Make sure the name, role and background of an author appear the same way everywhere, so the picture does not fragment across different pages.

What you build off your site

• Reviews on independent platforms. Customer ratings on Google, Trustpilot or a sector platform weigh more heavily than testimonials on your own site, because they come about outside your control.
• Mentions in the press and trade media. Getting named in an article, even without a link, counts towards how a language model judges your brand. Even a short quote in a trade magazine adds to that picture.
• Guest contributions and interviews. Writing for or being interviewed by another platform in your field builds visibility you cannot claim yourself, because that visibility comes from a source that is not yours.
• Listings on comparison sites and directories. Even a simple entry in a sector overview or a comparison site adds to the impression that you are an established, recognisable party.

Take a fictional example: an installation company that has existed for ten years but has only a bare contact page misses out on author profiles, cases and press mentions entirely. Once the owner gets a profile with a photo and a background, three customer cases with names and results go online and a local trade magazine quotes him about a new installation standard, nothing changes about the site itself while everything changes about the evidence around it. That evidence is exactly what E-E-A-T leans on and it is also exactly what a language model takes into account when it has to choose between two comparable installation companies to name in an answer.

A plan to get started with

1. Take stock of who writes or speaks on behalf of the brand at your company and make a profile for each person with a real background, not just a job title.
2. Collect the reviews and mentions that already exist and put them visibly on your site, with a link to the source so the origin stays verifiable.
3. Pick three trade media or platforms in your sector and work out how you could get named or interviewed there once, for instance by offering a comment on a current topic.
4. Add a source for every figure or claim you use in new content, even when that makes the text read a little less smoothly.
5. Repeat this every quarter, because E-E-A-T is a running total that keeps growing as long as you keep adding to it.

Most of these steps cost no advertising budget, only time and a certain discipline to keep them going. A company that stops collecting reviews and mentions after three months sees the build-up flatten out as quickly as a company that never started. That persistence is what separates a brand that gets named now and then from a brand that is structurally seen as a reliable source, including by a language model that has to choose who it names in an answer.

Want to know where your brand stands on these signals right now? Request the paid AI visibility audit.