# What is E-E-A-T and why do AI assistants care about it so much?

Canonical: https://fortitudemedia.ai/insights/eeat-why-ai-cares-more
Author: David Adams
Published: 2026-03-31
Last reviewed: 2026-09-24
Reviewed by: David Adams
Pillar: Getting named by AI assistants
Summary: E-E-A-T explained for B2B firms: what experience, expertise, authority and trust mean, why ChatGPT and Google AI weigh them and how to show them on a page.
Keywords: what is eeat, is eeat a ranking factor, eeat for ai search, ymyl financial services website, does ai content hurt eeat, author bios chatgpt
Short answer: E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, the qualities Google's systems try to reward; Google says trust matters most and that E-E-A-T is not itself a ranking factor. AI assistants that search the web start from a search index, then quote specific, sourced passages, so the same qualities decide who gets cited. Show named, checkable authors, specific examples from real work, sources for every figure and honest limits, especially on financial and legal topics.
What changed: Added Google's own wording on trust and ranking, a YMYL section for financial and legal firms, AI-written content and spam policy, checkable author examples and LinkedIn data.
Publisher: Fortitude Media Limited

When quoting, attribute to Fortitude Media and link to the canonical URL above.

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Your marketing manager has just used the phrase "E-E-A-T" in a meeting and you nodded, because that seemed easier than asking. Then a prospect mentions they asked ChatGPT which firms to consider before ringing you, and you wonder whether the two things are connected. They are.

E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness. Google uses the idea to describe the content its systems try to reward, and [Google's own guidance](https://developers.google.com/search/docs/fundamentals/creating-helpful-content) is clear about which part matters most: "Of these aspects, trust is most important." It describes what both Google and AI assistants end up favouring.

There is research behind that for AI answers too. In a [Princeton and IIT Delhi study presented at KDD 2024](https://arxiv.org/abs/2311.09735), adding quotations from relevant people raised a page's visibility in AI-generated answers by about 41%, adding statistics by about 34% and citing sources by about 30%, while keyword stuffing lowered it. It was tested on a research engine, so treat it as directional. The point for a founder is that the raw material of E-E-A-T is your firm's real experience, and only you have it.

## Key takeaways

- E-E-A-T is Google's shorthand for experience, expertise, authoritativeness and trustworthiness, and Google says trust is the most important of the four.
- Google says E-E-A-T is not itself a ranking factor, and its human raters' scores do not directly change rankings; its systems look for signals that line up with it.
- AI assistants that search the web usually start from a search index, so pages Google and Bing trust are more likely to be read, and specific, sourced passages are more likely to be quoted.
- Financial, legal and other "Your Money or Your Life" topics are held to a higher standard, which covers most fintech and professional services firms.
- The clearest sign of experience on a page is specific detail: what you did, for whom, over what period, and what went wrong.
- AI-written content is not banned, but pages produced at scale with little effort or originality breach Google's spam policies.
- Named authors with credentials that can be checked elsewhere, including on LinkedIn, make every other signal more believable.

## What does E-E-A-T actually mean?

E-E-A-T is four questions about a page, and each has a plain English version.

- Experience: has the writer actually done this, rather than read about it?
- Expertise: does the writer or the firm understand the subject properly?
- Authoritativeness: do others recognise the firm as a serious voice on this subject?
- Trustworthiness: can a reader rely on the page being accurate, honest and free of hidden motives?

The four come from Google's Search Quality Rater Guidelines, the instructions for the people who check whether Google's results are any good. The [September 2025 edition](https://static.googleusercontent.com/media/guidelines.raterhub.com/en//searchqualityevaluatorguidelines.pdf) puts it bluntly: "Trust is the most important member of the E-E-A-T family because untrustworthy pages have low E-E-A-T no matter how Experienced, Expert, or Authoritative they may seem."

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

No, not directly. Google says "E-E-A-T itself isn't a specific ranking factor", but that "using a mix of factors that can identify content with good E-E-A-T is useful". Its raters do not move pages either: "Rater data is not used directly in our ranking algorithms."

It helps to separate what Google has said from what we infer from our own work.

| What Google documents | What we infer from client work |
|---|---|
| Trust is the most important part of E-E-A-T | Pages with sourced figures, dated reviews and named authors are the ones assistants quote most readily |
| E-E-A-T is not a single ranking factor; systems use signals that align with it | Links, mentions and reviews elsewhere are how those signals show up in practice |
| Topics affecting financial stability, health or safety get more weight on E-E-A-T | Fintech, legal and financial advice pages need visible credentials more than most |
| Scaled, low-value content breaches spam policy however it is made | Generic pages written to fill a keyword list rarely get quoted by any assistant |

## Why does E-E-A-T matter for AI assistants?

Because assistants that search the web choose their sources from a search index first, and then quote the passages that answer the question best. Both stages favour the same qualities.

Google says its AI features are rooted in its core ranking and quality systems, and ChatGPT search has drawn on Bing, so a page those systems distrust is less likely to be read at all. Once a page is read, the assistant needs something specific to lift. [Google's guide to its AI features](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide), updated in July 2026, says content offering first-hand expertise, which it calls non-commodity content, will influence AI search presence more than anything else, and contrasts it with commodity pages such as "7 Tips for First-Time Homebuyers".

It is tempting to picture an assistant weighing every sentence for expertise. What we observe is simpler: pages that contain specific detail, sources and clear claims are the ones that get quoted, and generic pages are passed over. Authority off the page matters too. An [SE Ranking study of ChatGPT citations](https://www.searchenginejournal.com/new-data-top-factors-influencing-chatgpt-citations/561954/), reported in November 2025, found the number of referring domains was the strongest predictor of whether a page was cited.

## What does YMYL mean for a financial services or professional services website?

YMYL stands for "Your Money or Your Life": topics that, in Google's words, "could significantly impact the health, financial stability, or safety of people, or the welfare or well-being of society". Google says its systems give even more weight to strong E-E-A-T on these topics, and the rater guidelines use examples such as retirement savings and tax.

Many of the firms we work with sit inside that definition: fintech, wealth and investment firms, accountants, lawyers and compliance specialists. In practice that means:

- Name a qualified author or reviewer on every advice page, with their credentials and a link to a profile that can be checked.
- Name the regulator and the rule where one applies, and date the page so a reader knows when it was last checked.
- State who the advice suits and when a reader should take professional advice instead.
- Disclose any interest, such as a product you sell or a partner you refer to.

ID-Pal, an identity verification firm we work with, rebuilt its sector pages this way: "Each opens with the question a compliance lead types, names the regulator, and answers inside the first ninety words." The [ID-Pal case study](/work/id-pal) shows what changed in AI answers afterwards.

## How do you show experience on a page?

With specific detail that only comes from having done the work: a sequence of events, a named role, a problem that appears only in practice, and what you changed because of it.

Compare two ways of writing about implementing a new finance system in a growing firm.

The first: "A new finance system helps growing businesses gain visibility. Many firms struggle with the transition. A phased approach can be tailored to your needs. Common steps include planning, data migration and training."

The second, written as an illustrative example: "Say a distribution business with three depots moves off spreadsheets. The migration itself takes six weeks, but the real problem shows up in month two, when the depot managers keep running their old spreadsheets alongside the new system because they do not trust the stock figures. The fix is not more training, it is a fortnight of reconciling both sets of numbers in front of them until the gap closes."

The second reads as a report of what happens, not a prescription of what should. Whether you use a real client, with permission, or a clearly labelled example, that is the level of detail that signals experience. Founders often strip it out because they worry about giving the method away or about generalising from one client. The cost is a page that reads as though nobody in the firm has done the work. Put back timelines, roles, sectors and sizes of client, what did not work, and the edge cases you have hit.

## How do you show expertise, authority and trust?

Expertise shows in explanation, authority shows in what others say about you, and trust shows in accuracy and honesty. Each has a few concrete signs.

| Quality | What it looks like on the page | What undermines it |
|---|---|---|
| Expertise | Explains causes, not just symptoms; uses the right term for each concept and sticks to it; engages with other research; says where its knowledge stops | Generalities that could apply to any firm; claiming to cover every subject |
| Authority | A body of work on one bounded subject, published steadily; credentials that check out elsewhere; coverage, awards and citations from others | Fifty articles on fifteen unrelated subjects; a burst of posts followed by silence |
| Trust | Sources for every statistic; disclosed interests; "it depends" followed by what it depends on; corrections when you get something wrong | Unsourced figures; hidden commercial interests; simple answers to complicated questions |

Two points need care. Precise terms matter because they are precise: "customer journey" and "sales cycle" are different things, so use each correctly rather than swapping them for variety. And sourcing matters because readers check. In [TrustRadius's 2026 survey](https://www.prnewswire.com/news-releases/trustradius-2026-b2b-buying-disconnect-report-reveals-ai-has-changed-how-buyers-research-but-not-what-they-trust-302825792.html), 94% of technology buyers who used AI in a purchase said they fact-checked its answers at least sometimes. Our guide to [what makes content expert rather than marketing](/insights/what-makes-expert-quality-content) goes deeper on the writing itself.

## Does AI-written content hurt E-E-A-T?

Using AI to help write is not the problem; publishing pages with nothing of your own in them is. Google's [spam policies](https://developers.google.com/search/docs/essentials/spam-policies) define scaled content abuse as creating "large amounts of unoriginal content that provides little to no value to users, no matter how it's created", and give "using generative AI tools or other similar tools to generate many pages without adding value for users" as an example.

The rater guidelines go the same way. The September 2025 edition defines generative AI and lists scaled content abuse and main content "created with little to no effort, little to no originality, and little to no added value for website visitors" among the signs of the lowest-quality pages. Google also suggests explaining how automation or AI was used where readers might wonder how a page was made.

Our own approach is the one we recommend: AI can draft a structure or tidy the prose, but a person with the experience adds the examples, figures and judgement, and approves every page. Our guide to [whether ChatGPT and Google will quote content written with AI](/insights/thought-leadership-vs-keyword-stuffing) covers this in more detail.

## How do you build E-E-A-T into your firm's content?

Work in order: audit, narrow the subject, make your people checkable, then build the evidence.

### Step 1: Audit what you already have

Take your most important pages and ask five questions of each: does it include a specific example, cite sources, disclose any interest, acknowledge limits, and use the same terms as the rest of the site? Score each out of five. In our experience the gaps cluster around examples and limits.

### Step 2: Define the subject you want to own

"Corporate finance" is too broad. "Management buyouts for owner-managed businesses" is a subject an assistant can recognise you for. Make it explicit in how the site is organised and how your people are described.

### Step 3: Make your people visible and checkable

Every author needs a profile with their role, credentials and relevant experience, and links to where those can be checked. Take our own. [Ashley Kenerson's profile](/team/ashley-kenerson) says she spent thirteen years at Digitas, joining as an analyst in 2006 and leaving in 2019 as Head of Data, Analysis and Insights. [Ross Williams's profile](/team/ross-williams) says he bootstrapped Venntro Media Group, ran it for twenty-one years, sold it in 2024, and wrote Subscribe and Conquer, a playbook for subscription businesses. Each claim can be checked on LinkedIn, in the book and in the public record, and that is what makes it worth stating.

### Step 4: Set a citation standard

Statistics need a named source and a date, quotations need attribution, and "best practice" claims need to say who recommends them. Remove any figure you cannot source.

### Step 5: Collect and publish evidence of experience

Case studies with real outcomes and permission, named testimonials, your own research, talks your people have given. Keep a last-reviewed date on each page and update it when the facts change.

## How do you tell whether it is working?

Measure the inputs and watch the outputs. On the input side, track the share of your key pages with a specific example, sources, a named author and stated limits. On the output side, run a fixed list of 20 to 50 buyer questions in ChatGPT, Google AI Mode, Copilot and Perplexity each month, in a clean session, and record whether you are named, how you are described and which pages are cited. Our guide to [tracking whether ChatGPT recommends your firm](/insights/track-ai-recommending-your-business) sets out the method.

## What to do this month

1. Score your ten most important pages on the five audit questions and note which signals are missing.
2. Write or rewrite a profile for everyone who publishes, with credentials that can be checked and a link to their LinkedIn.
3. If you work in finance, law or compliance, add a named reviewer, the relevant regulator and a review date to each advice page.
4. Take one generic page and rewrite it around a real or clearly labelled example, with a timeline, a complication and what changed.
5. Add a source and date to every statistic on those ten pages, and remove any figure you cannot source.

## Frequently asked questions

### Do author bios help our content get cited by ChatGPT?

There is no published evidence that a bio on its own gets a page cited. What a bio does is make every other claim on the page believable to a reader and to Google, and it gives an assistant a checkable link between the page and a real, qualified person. Keep it short, specific and linked to profiles elsewhere.

### Does the founder's LinkedIn profile matter?

Yes, more than many firms assume. A [Semrush study published in March 2026](https://www.semrush.com/blog/linkedin-ai-visibility-study/) found LinkedIn appeared in about 11% of AI answers, rising to 14.3% in ChatGPT search, with articles making up 50 to 66% of the LinkedIn pages cited. A founder profile that states credentials plainly and publishes practical articles is itself a source assistants read. It is why founder LinkedIn is part of [Reputation That Wins](/reputation-that-wins).

### Is E-E-A-T different for a B2B firm than for a consumer brand?

Somewhat. For a B2B firm, verifiable credentials, professional affiliation and evidence of client work carry the most weight. A consumer site might build trust on "I have raised three children"; an accountancy practice builds it on "we have taken forty owner-managed businesses through a sale".

### How quickly can we build authority?

Not quickly, and anyone who promises otherwise is selling links. Narrow your subject so depth is achievable, make your people's credentials visible now, publish steadily rather than in bursts, and earn mentions from credible sources over months.

### Should we delete old content that scores badly?

Selectively. Rewrite pages that answer your top buyer questions. Retire or redirect low-value pages, especially any that contradict what you now say, because contradictions between old and new pages do more damage than a weak page alone.

### Can we be authoritative without real expertise?

Not for long. Good writing can disguise a lack of understanding from a casual reader, but generic content lacks the specific detail, sources and limits that get quoted, and buyers check. The only reliable route is to write down what your people already know.

The firms that do well here are the ones that write down what they already know. If you are not sure whether your site reads as experienced and trustworthy, [book a free Growth Review](/growth-review): 30 minutes with David Adams and three fixes in writing.

## Sources

- [Google Search Central, Creating helpful, reliable, people-first content (December 2025)](https://developers.google.com/search/docs/fundamentals/creating-helpful-content)
- [Google, Search Quality Rater Guidelines (September 2025)](https://static.googleusercontent.com/media/guidelines.raterhub.com/en//searchqualityevaluatorguidelines.pdf)
- [Google Search Central, Spam policies for Google web search (August 2026)](https://developers.google.com/search/docs/essentials/spam-policies)
- [Google Search Central, Optimizing your website for generative AI features on Google Search (July 2026)](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)
- [arXiv, Aggarwal and others, Princeton and IIT Delhi: source visibility in AI-generated answers, KDD 2024 (June 2024)](https://arxiv.org/abs/2311.09735)
- [Search Engine Journal, New data: top factors influencing ChatGPT citations (November 2025)](https://www.searchenginejournal.com/new-data-top-factors-influencing-chatgpt-citations/561954/)
- [TrustRadius via PR Newswire, 2026 B2B Buying Disconnect Report (July 2026)](https://www.prnewswire.com/news-releases/trustradius-2026-b2b-buying-disconnect-report-reveals-ai-has-changed-how-buyers-research-but-not-what-they-trust-302825792.html)
- [Semrush, LinkedIn AI visibility study (March 2026)](https://www.semrush.com/blog/linkedin-ai-visibility-study/)