What It Is
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google's framework for evaluating content quality. Introduced in Google's Search Quality Rater Guidelines (updated to include Experience in December 2022), E-E-A-T represents the signals Google's algorithms look for when deciding whether content deserves to rank. Korvex automatically scores all four dimensions for every page.
Why It Matters for Your SEO
E-E-A-T is especially critical for YMYL (Your Money or Your Life) topics — health, finance, legal, safety — but affects all queries. Pages that demonstrate genuine expertise, cite authoritative sources, and show first-hand experience consistently outrank those that don't. For enterprise clients managing hundreds of pages, automated E-E-A-T scoring identifies which pages need trust signal improvements before they lose ranking potential.
How Korvex Measures It
Each page receives four dimension scores (0-100):
| Dimension | What It Measures | Key Signals |
|---|---|---|
| Experience | First-hand, practical knowledge | Personal anecdotes, "I tested", case studies with real data, before/after examples |
| Expertise | Technical depth and accuracy | Technical terminology, depth of explanation, specificity of claims |
| Authoritativeness | Recognition and reputation | Author credentials, citations, external references, awards, industry recognition |
| Trustworthiness | Transparency and reliability | Data sources cited, methodology disclosed, contact information, privacy policy |
Score Ranges
| Range | Rating | What It Means |
|---|---|---|
| 80-100 | Excellent | Strong signals across the dimension — well above average |
| 60-79 | Good | Adequate signals with room for targeted improvement |
| 40-59 | Average | Notable gaps in trust signals that may limit ranking potential |
| 0-39 | Weak | Significant trust deficiency — priority improvement area |
How to Improve Your Score
- Add author bylines with credentials — "Written by [Name], [Qualification], [Years] experience in [Field]"
- Include first-hand experience markers — "In our testing...", "When we implemented this for a client..."
- Cite authoritative sources — link to primary research, government data, or industry standards
- Be transparent about methodology — explain how data was collected and what limitations exist
- Maintain trust infrastructure — about page, contact details, privacy policy, terms of service
Scoring Approach
The E-E-A-T scorer (EEATv2Scorer) analyses page content using a combination of:
- Signal detection: Pattern matching for experience markers, expertise indicators, authority signals, and trust elements
- Structural analysis: Presence of author bylines, schema markup (Person, Organization), citation patterns
- Cross-page analysis: Consistency of E-E-A-T signals across the site (feeds into Source Context fundamental)
How E-E-A-T Feeds the Koray Score
E-E-A-T analysis contributes to the Source Context fundamental (Fundamental 3):
- Trust signals score: about page, contact page, privacy policy, terms, team page (20 points each, max 100)
- Authority signals: awards, case studies, testimonials, press mentions, research content (20 points each, max 100)
- These combine as:
(model_clarity × 0.40) + (trust_signals × 0.30) + (authority_signals × 0.30)
Column Reference
The page_scores table stores E-E-A-T data in the eeat_v2_score column (JSONB), containing individual dimension scores and the composite result.
Data Sources
- Scoring phase: Phase 5 (09:30 UTC daily)
- Table:
page_scores.eeat_v2_score(JSONB) - Update frequency: Daily for active pages, Phase 6 for competitor pages
Related Concepts
- The Koray Score — E-E-A-T feeds the Source Context fundamental
- The Five Fundamentals — E-E-A-T is one of five quality dimensions
- Content Briefs — briefs include E-E-A-T gap analysis with specific recommendations