🔍 SEO / GEO

E-E-A-T

eeat · e-e-a-t · eat · e-a-t · experience expertise authoritativeness trust · google quality rater guidelines

Definition

E-E-A-T is Google's framework — Experience, Expertise, Authoritativeness, Trust — for judging the credibility and quality of content; it is applied by human raters and influences ranking algorithmically in high-stakes topics.

What each letter means

Experience. The author has genuine hands-on experience of the subject. A running-shoe review
from someone who has covered 500 km in them is worth more than a technical write-up assembled from
catalogue specifications.

Expertise. The author holds knowledge and qualifications in the field. In medicine that means a
doctor. In finance, a certified specialist. In e-commerce and marketing, a professional with a
track record that can be verified.

Authoritativeness. How far the author or the site is recognised as an authority in the niche —
by other sites, by publications, by the professional community. It is measured through the link
profile, brand mentions and awards.

Trust. The most important component, in Google’s own words. Transparency: who the author is,
who stands behind the site, how to reach you, whether there is a returns policy, how safe the
transaction is.

YMYL and E-E-A-T

YMYL, Your Money or Your Life, covers topics where poor content can cause real harm: health,
finance, safety, legal questions. Google applies an especially strict E-E-A-T assessment to them.

In e-commerce the transactional pages — purchase, payment, personal data — fall under YMYL. That
means a privacy policy, an SSL certificate, clear purchase terms and real company contact details
are not only legal requirements but ranking factors too.

E-E-A-T component	Signals for e-commerce
Experience	Verified customer reviews, user-generated content with real photos
Expertise	Detailed product descriptions, an expert blog in the niche
Authoritativeness	Press mentions, brand partnerships, awards
Trust	HTTPS, returns policy, company details, Schema.org

E-E-A-T and AI search engines

As Google AI Overviews, Perplexity and other generative engines have grown, E-E-A-T has taken on a
new dimension: citability in AI answers. These systems prefer to reference sources that:

Are recognised as authoritative in their niche (strong backlinks)
Carry structured data (Schema.org) that makes the context machine-readable
Show original experience and research rather than a rewrite of someone else’s material

Tip: for an e-commerce blog, concrete data from your own A/B tests or customer analytics is
the strongest possible Experience signal. “We tested X and got result Y” beats any general
overview of the topic.

Practical steps to raise E-E-A-T

Add an About page with a real history, the team and contact details
Use Schema.org markup for the organisation, the article author and reviews
Publish content with a named author and their credentials
Collect verified customer reviews on product pages
Work on brand mentions in trade media and industry publications

Frequently asked questions

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

E-E-A-T is not a single algorithmic signal but an evaluation framework from the Quality Rater Guidelines. Google uses it through human raters to train algorithms rather than as a direct ranking signal. That said, the factors that demonstrate E-E-A-T — backlinks, brand mentions, structured author data — are measurable signals the algorithms can read.

How does E-E-A-T differ from E-A-T?

E-A-T was the original framework: Expertise, Authoritativeness, Trust. In 2022 Google added the first E, Experience, meaning the author's first-hand practice. The emphasis is on content created by people with real hands-on experience rather than academic knowledge alone. In e-commerce a product review from someone who actually bought the item outranks a technical write-up produced without using it.

Does E-E-A-T matter for e-commerce sites?

Yes, particularly for product and category pages. Transactional pages fall under YMYL, Your Money or Your Life. The E-E-A-T signals for e-commerce are verified reviews, HTTPS and a transparent returns policy, entity markup with Schema.org, brand mentions in authoritative sources, and an About page with concrete details.

How does E-E-A-T affect AI search engines and GEO?

Google AI Overviews and other generative engines prefer to cite sources with strong E-E-A-T. A site recognised as an expert in its niche — a solid link profile, mentions in trade publications, structured data — appears in AI answers more often. That makes E-E-A-T critical not only for classical SEO but for AI citability as well.