E-E-A-T

E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It comes from Google’s Search Quality Rater Guidelines, the handbook human raters use to evaluate search results, and describes what makes content and its creators credible. Google added the first “E”, for first-hand experience, in December 2022, and describes trust as the most important member of the family.

How it works

• Experience: has the creator actually used the product, visited the place or lived through the situation?
• Expertise: do they have the knowledge or skill the topic needs?
• Authoritativeness: are the creator and the site known as a go-to source for this topic?
• Trust: is the page accurate, honest, safe and reliable? The other three support it.

E-E-A-T is not a single score or a ranking factor you can switch on. Raters’ assessments are used to evaluate whether Google’s ranking systems are working, and Google says its systems use a mix of signals that align with E-E-A-T, weighted more heavily for “Your Money or Your Life” topics such as health and finance. Google’s helpful content guidance frames it as “who, how and why”: who created it, how it was made, and why.

MLforSEO connects this to AI search: machines cannot verify self-declared credibility. A page calling its author an expert carries little weight; the same claim from an independent source such as Wikidata, a conference bio or a news citation counts for much more. Trust is estimated from corroboration across the web, consistent Structured Data and a steady publishing history.

How it’s used in SEO and marketing

• Author pages with real credentials, a photo, other publications and consistent profiles linked with sameAs.
• First-hand evidence in content: original photos, test results, case data, quotes from practitioners.
• Company pages (about, team, policies, contact) in the site architecture, since they build trust even if they bring little search traffic.
• Earning independent mentions and citations: digital PR, speaking, reviews, Wikidata entries where notable.
• Keeping facts consistent across your site and third-party profiles.

Example

Two reviews of the same running shoe compete. One repeats manufacturer specs. The other is written by a named coach who ran 300 km in them, includes photos of the sole wear and links to the author’s race results and club profile. The second shows experience and expertise that raters, readers and AI systems can check.

Limitations and things to watch

• Adding author boxes or schema alone does not create E-E-A-T. The signals must be real and corroborated elsewhere.
• Raters do not directly change rankings for individual pages.
• Avoid inflated claims (“world-leading expert”); unverifiable language can lower confidence.

Learn it on MLforSEO

• Trust isn’t a schema field: how machines decide to believe you
• How to Build a Search Intent-First Website Architecture
• Blog and Site Architecture for SEO and Conversions in the AI Search Era
• AI Search Optimisation & Agentic SEO