Google E-E-A-T: Why it matters for Google rankings

Google E-E-A-T: Why it matters for Google rankings, even though it is not a ranking factor in itself: E-E-A-T (experience, expertise, authoritativeness, trustworthiness) is the framework in the quality raters' guidelines through which Google describes what makes a trustworthy page, and its ranking systems are built and trained to reward exactly these characteristics. A site that has them fares well through core updates; one that does not loses ground with each update, regardless of keywords.

This guide explains each component correctly (experience is the author's, not the user's, a common confusion), how Google assesses them, what they mean for YMYL pages, which concrete signals to put on and off the site and how to check them, drawing on what we learned by taking sites from poor scores to top scores in our audit.

Google E-E-A-T: Why it matters for Google rankings

The four components

1. Experience: the author has done, used or lived through what they describe; a product article written by someone who used it, a migration guide written by someone who migrated servers. Added in December 2022 in response to generic content.
2. Expertise: the author has knowledge of the field, demonstrated through qualifications, activity and consistent content on the topic.
3. Authoritativeness: the author and site are recognised by others in the field: cited, linked to and mentioned.
4. Trustworthiness: the central component, according to the guidelines; the other three support it. Accurate information, sources, a clear publisher identity, contact details, security, policies and genuine reviews.

How Google assesses them

Human raters score samples of results using the guidelines; the scores do not directly change rankings but measure and train the systems. The systems look for signals that correlate with E-E-A-T: identified authors with a presence outside the site, links and mentions from trusted sources, entity consistency (the same name and details everywhere), citations of sources, absence of spam signals and user behaviour. There is no public "E-E-A-T score"; there are patterns, and our audit measures those that can be checked automatically.

YMYL pages

For topics that can affect health, money, safety or wellbeing (medical, financial and legal advice, news, risky products), the guidelines require the highest level of E-E-A-T; this is where a lack of qualified authors and sources costs the most. An accountancy or insurance site, a clinic or a credit broker is YMYL; a recipe blog or clothing shop less so, but still assessed.

Concrete signals on the site

• An about page with real details: legal name, CUI, address, phone, email, founding year and team members with names and roles; not "we are a young and dynamic team".
• Author pages: real name, photograph, biography with relevant experience, links to verifiable profiles (LinkedIn, publications) and a list of articles; Person structured data linked to Article.
• A byline on every article, with publication and update dates.
• Sources cited in the text and listed at the end, linking to official documents rather than other blogs.
• Experience demonstrated in the text: "across 30 clients we saw", project figures, original screenshots and original photographs.
• Genuine reviews, with name, date and source (Google), displayed on the site without self-serving rating markup, which Google prohibits for your own business.
• Policies: privacy, terms, cookies, ANPC and SAL where applicable, and publishing and correction principles.
• Security: HTTPS, no warnings and no mixed content.
• Accurate content: checked facts, no invented figures and no promises ("we guarantee position 1").

Signals outside the site

• Mentions and links from industry publications, associations, local press and institutional directories.
• A verified Google Business Profile, with reviews and the same details as the site.
• Authors' profiles on LinkedIn and elsewhere, with the same biography.
• Entity consistency: identical company name, address and phone number across all sources; Google connects the entity through these matches.
• Reviews on third-party platforms, with responses.
• Absence of negative signals: unresolved public complaints, security warnings and a history of spam.

How to check

Our E-E-A-T audit tool automatically checks signals that can be checked: authors and author pages, Person and Organization structured data, sources, contact details and legal identity, policies, reviews, security and consistency with the Google profile; it gives a score and a list of gaps. On our own sites we used it as a work list: moving from scores of 70 to 98-100 meant, in practice, author pages, sources on every article, the company name in the footer with its CUI and address, policies linked from the footer and removal of fictitious reviews inherited from the old sites. Manual checking, with the raters' guidelines in front of you, remains necessary for content: would a rater trust this page, knowing who wrote it and why?

What we do on a new site, in order

1. Identity: about, contact, policies and a footer with legal details.
2. Authors: one page per author, a real biography, structured data and article bylines.
3. Sources: two or three official sources per article; older articles completed retrospectively, as we did for 176 articles on our blog.
4. Experience: rewriting generic articles with our own figures and cases; removing or consolidating those that cannot be enriched.
5. Reviews: systematically requesting them on Google and displaying genuine ones on the site.
6. Mentions: two or three external industry sources in the first three months.
7. Monthly checks with the tool and at every core update.

An example: from 62 to 98 in three months

A service site with 120 articles, all signed "Admin", without sources, with a four-line about page and reviews written inside the company. Initial score in our tool: 62. The steps: an about page with legal details, team and history; two genuine author pages with biographies and profiles; articles reassigned to authors and supplemented with two sources each (a week's work, with a script suggesting sources and a person checking them); fictitious reviews removed and genuine Google reviews displayed; policies linked from the footer; Organization and Person structured data. Final score: 98. The effect in Search Console, after three months and a core update: impressions on service pages increased by 30%, without new content. We cannot isolate the factor, but the pattern repeats on every site we bring to high scores.

The connection to other signals

E-E-A-T does not replace good content, speed or links; it sets the conditions for them. An excellent article signed by nobody, on a site without an identity, is rated below a good one signed by an author with a public presence. That is why in an audit we check identity and authors before keywords, and on a new site build them before the first article; the general steps are in the guide to optimising a site step by step. Structured data describing authors and the organisation, with validation, is in the guide to schema markup, and genuine reviews, with the correct way to request and display them, are in the article on examples of good reviews.

Common mistakes

• Invented authors with stock photographs: detectable and harmful.
• Fictitious reviews or review markup for your own company.
• An about page without any verifiable details.
• Medical or financial articles without a qualified author or sources.
• Self-declared "expert" and "leader" status without external evidence.
• Confusing experience with user experience: speed and design matter, but they are different signals; experience in E-E-A-T is the author's.

E-E-A-T and AI-generated answers

Sources cited in AI Overviews, AI Mode and assistants are chosen using the same trust criteria, with high weight given to the entity and external mentions: an answer generated from an unreliable source costs the platform more than a poor classic result. The signals above are therefore also a condition for appearing in AI answers; the connection is described in the article on Generative Engine Optimization.

Frequently asked questions

1. Is E-E-A-T a ranking factor? Not directly; it is the framework used to build and evaluate the systems, while the signals correlated with it are factors.
2. How long does it take to show? Identity and author signals are reflected in the next core update, in two to six months; external mentions take longer.
3. Can a small site have high E-E-A-T? Yes; experience and trust do not depend on size. A practice with a doctor who signs and explains beats an anonymous portal.
4. What do I do with old articles without an author? Attribute them to the real author (if one exists), add sources and an update date; consolidate what cannot be saved.

The E-E-A-T check is the first part of the SEO audit we carry out, before any keyword analysis, because without trust the rest will not rank; the dedicated chapter in our client guide also explains who should sign what, in the article on E-E-A-T and who signs.

Sources

• Google, Search Quality Rater Guidelines: definitions of E-E-A-T, YMYL and quality criteria.
• Google Search Central, helpful, reliable, people-first content: self-assessment questions about experience, expertise and trust.

Source references

• Google, ghidul evaluatorilor de calitate a căutării (PDF)
• Google Search Central, conținut util, de încredere, scris pentru oameni