Why does E-E-A-T matter to AI models?
A generative engine answers for content the user will no longer verify by clicking a link. So when choosing a source it favours pages that state the author, the basis of their claims and the date of the last verification. Anonymous text without sources constitutes a risk the model avoids.
This is the one dimension where improving does not require rewriting sentences. An author bio with credentials, a citation to a study, an update date and contact details are elements either present on the page or absent - the score depends on supplying them, not on editing the text.
What will you see in the report?
You get four separate scores together with a list of detected signals - each with the quotation from your content that supports it.
Sample recommendations
Fragments of a report from an audit of a gaming mice category page in an electronics store.
Problem: Parameters and comparisons are given with no reference to a source, so none of those claims can be verified.
New-generation optical sensors reach a tracking accuracy of 99.8%.
Add a citation for the measurement: “tracking accuracy of 99.8% according to the manufacturer’s technical documentation, 2026”.
Problem: The transactional page does not state the trust signals this content type requires: return terms, warranty and payment security.
All products come from official distribution and carry full technical support.
Put the specifics up front: “30-day free returns, 24-month manufacturer warranty, SSL-encrypted payments”.
How do we measure E-E-A-T?
First we detect signals algorithmically in the content and the page code, and only then does the model verify them and judge their strength. The rule is simple: every accepted signal must be anchored in a specific fragment of the text. A signal without a quotation is rejected, so the audit does not credit the page with expertise it never claims.
The four components and the signals behind them
| Component | What raises it |
|---|---|
| Experience | A first-hand account, a case study, photos and screenshots from use, a description of testing you ran yourself |
| Expertise | Citations to research, data with a stated source, industry terminology, an explanation of mechanisms, a bibliography |
| Authoritativeness | An author bio with credentials, institutional affiliation, publications, external citations, awards |
| Trustworthiness | Disclaimers, an update date, author contact, an editorial policy, a secure connection |
We also verify sourcing - signals read from the page code, not from the text alone
| Signal | What is checked |
|---|---|
| Source verifiability | External links, citation markers, references to known institutions and publications |
| Source diversity | The number of distinct domains - leaning on a single source weighs less |
| Author identity | Author profile links in structured data: Wikipedia, ORCID, Google Scholar, LinkedIn |
| Claim corroboration | Whether high-risk claims such as statistics, dates and research findings have a stated source in the same paragraph |
What raises and what lowers the score?
Raises
- A bylined author with concrete credentials, not “the editorial team”
- Citations to research and data with the source stated
- Links to a range of institutions instead of repeated links to one site
- A visible update date and a contact
- A description of your own test, deployment or client case
Lowers
- Text with no author and no date
- Statistics given with no source
- Claims of competence with nothing behind them (“years of experience”)
- No external links whatsoever
- Referring exclusively to your own material
Frequently asked questions
Is E-E-A-T a ranking factor?
Not as a single parameter. It is a set of quality criteria Google uses to describe good content, and generative models apply the same reasoning when choosing a source.
Is adding “author: the editorial team” enough?
No. A signal counts only when it is anchored in the content - a byline with no credentials, affiliation or trace of experience changes nothing.
Which sources count for the most?
Recognised institutions and industry publications, while maintaining variety. Five links to five credible domains weigh more than five links to the same site.