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E-E-A-T: How Google and AI Evaluate Your Expertise

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) has become the central criterion for being cited by Google AND LLMs. Complete guide with actionable method for the European market.

AS
Alan Schouleur
Expert GEO
13 March 2026
13 min read
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E-E-A-T: How Google and AI Evaluate Your Expertise
TL;DR — E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It is not a direct ranking factor, but an evaluation framework that Google uses for its Quality Raters — and that LLMs implicitly reproduce. In 2026, it has become the invisible filter that decides whether your content is cited or ignored. This guide gives you concrete actions for each pillar.

Understanding E-E-A-T: beyond the buzzword

E-E-A-T is probably the most misunderstood SEO concept of the last decade. Essential clarifications:

  • It is NOT a direct algorithmic ranking factor. There is no "E-E-A-T score" in Google's algorithm.
  • It is an evaluation framework used by Google's Quality Raters (more than 16,000 humans) to rate the quality of search results.
  • Quality Rater scores influence algorithm updates. So E-E-A-T indirectly impacts your rankings, via Core Updates.

The acronym breaks down as follows:

  • Experience: does the author have direct experience of the subject?
  • Expertise: does the author possess the necessary knowledge?
  • Authoritativeness: is the site/author recognised as a reference?
  • Trustworthiness: is the content reliable, honest, secure?
Diagram of the 4 E-E-A-T pillars with Trustworthiness at the centre
The 4 E-E-A-T pillars — Trustworthiness is at the centre, the other 3 feed into it

"E-E-A-T is not an algorithm. It is a quality philosophy that Google uses to train its algorithms. The nuance is crucial: you cannot 'optimise' E-E-A-T like a meta tag. You have to build it like a reputation."

Marie Haynes, E-E-A-T specialist SEO consultant, Brussels

E-E-A-T and LLMs: why it is even more critical

Here is what most E-E-A-T guides do not tell you: LLMs implicitly reproduce E-E-A-T principles in their source selection. Not because they were programmed to, but because:

  • LLMs trained on the web inherit Google's quality biases (well-ranked content = more represented in training data)
  • LLMs with real-time search (Perplexity, ChatGPT Browse) use Google results — so E-E-A-T filters apply indirectly
  • LLMs evaluate reliability via similar signals: cited sources, identifiable author, factual consistency

According to an analysis by the Oxford Internet Institute (November 2025), content with strong E-E-A-T signals (identified author, verifiable sources, trusted domain) has 4.1 times more chance of being cited in ChatGPT and Perplexity responses than anonymous or poorly sourced content.

This is why we emphasise E-E-A-T so strongly in our AI content strategy. It is the common denominator between Google visibility and AI visibility.

Experience: the pillar that 90% of sites ignore

The additional "E" (Experience) was added by Google in December 2022, and it changes everything. Before, a theoretical expert could rank. Now, Google (and LLMs) want evidence of direct experience.

Concrete examples:

  • An article on "how to optimise your site for AI" written by someone who has actually optimised sites (with measurable results) > a theoretical article written by a freelance writer
  • An "SEO for e-commerce" guide written by a consultant who manages e-commerce accounts (with client cases) > a generic guide compiled from other sources

How to demonstrate experience:

  • Anonymised client cases with real metrics
  • Screenshots (dashboards, results, before/after)
  • Specific anecdotes ("At one of our B2B SaaS clients, we found...")
  • Decisive opinions based on experience ("Contrary to what you read everywhere, our experience shows that...")
Screenshot showing an example of content with experience signals
Example of content with experience signals: real case, metrics, decisive opinion

Concrete actions by E-E-A-T pillar

Experience — Demonstrating direct experience

  • Add client cases (even anonymised) to every article
  • Include screenshots of your own tools/dashboards
  • Share opinions based on your own practice, not others'
  • Date your experiences ("In Q4 2025, we observed...")

Expertise — Proving competencies

  • Detailed author page with biography, credentials, LinkedIn links
  • Person/Organization schema markup on every page
  • External publications (guest articles, conferences, podcasts)
  • Certifications and training displayed

Authoritativeness — Building recognition

  • Backlinks from sector reference sites
  • Brand mentions in European media
  • Citations by other experts (and reciprocal links)
  • Presence on sector platforms (LinkedIn, Reddit, specialist forums)

Trustworthiness — Earning trust

  • HTTPS mandatory (obvious but still missing on 12% of European SMEs according to Eurostat 2025)
  • Accessible privacy policy and legal notices
  • Cited and verifiable sources in every article
  • Regularly updated content (last modification date visible)
  • Verifiable customer reviews (Google Business Profile, Trustpilot)

Comparison: E-E-A-T levels and impact

E-E-A-T signalWeak levelMedium levelStrong level
AuthorAnonymous or "admin"Name displayed without bioComplete bio, photo, links, credentials
SourcesNo citationsA few generic linksVerified European sources, dated statistics
ExperienceCopied theoretical contentA few generic examplesReal cases, metrics, informed opinions
UpdatesNever updatedPublication date displayedLast update date + changelog
Technical trustHTTP, no legal noticesHTTPS, basic T&CsHTTPS, privacy policy, verifiable reviews
SEO ranking impactPenalised by Core UpdatesStableBenefits from Core Updates
AI citation impactRarely citedOccasionally citedFrequently cited (x4.1 according to Oxford)

"Trustworthiness is the central pillar. Without trust, expertise and authority are worthless. This is true for Google, true for LLMs, and true for your prospects."

Dr. Lily Ray, SEO Director at Amsive Digital, research published at SMX London 2025

FAQ

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

No. E-E-A-T is an evaluation framework used by Google's human Quality Raters. Their evaluations influence Core Updates, which in turn impact rankings. It is an indirect but real and measurable impact.

Do LLMs use E-E-A-T to choose their sources?

Not explicitly, but LLMs reproduce similar patterns. Content with an identified author, verifiable sources and demonstrated expertise is significantly more likely to be cited. The Oxford Internet Institute measures a x4.1 factor for content with strong E-E-A-T.

How do I quickly improve my E-E-A-T?

The fastest actions: add complete author pages (bio, photo, credentials, LinkedIn links), cite verifiable European sources in every article, display update dates, and add Person and Organization schema markup.

Is E-E-A-T more important for certain sectors?

Yes. Google applies stricter E-E-A-T standards for YMYL (Your Money, Your Life) content: health, finance, legal, security. But even outside YMYL, strong E-E-A-T is now a major competitive advantage, especially for AI citations.

Can a freelancer have good E-E-A-T?

Yes. E-E-A-T does not depend on company size. A freelancer with a well-structured site, a complete "About" page, client cases, and external publications can have better E-E-A-T than a large agency with an anonymous, unsourced blog.

How long does it take to build solid E-E-A-T?

Technical improvements (author pages, schema markup, sources) are immediate. Building authority and recognition takes 6 to 12 months. Experience is demonstrated over time, with client cases and cumulative results. It is an investment, not a quick fix.

Does your E-E-A-T not convince Google or LLMs?

We audit your E-E-A-T signals and implement a concrete action plan. First results visible within 30 days.

Audit my E-E-A-T
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AS
Alan Schouleur
Expert GEO

Co-fondateur et COO d'AISOS. Expert GEO, il construit le systeme de visibilite IA qui fait passer les entreprises d'invisibles a recommandees.