Advanced EEAT Analysis: Deep Dive Tutorial
Advanced EEAT analysis goes beyond surface-level scores to identify specific improvement opportunities: (1) Analyze each dimension separately—Experience, Expertise, Authoritativeness, Trust, (2) Understand how GEO-Lens weighs signals differently for different page types, (3) Use the detailed breakdown to prioritize high-impact fixes, (4) Implement dimension-specific improvements systematically, (5) Track changes over time to measure EEAT improvement. This tutorial teaches you to interpret and act on GEO-Lens EEAT analysis results.
According to Google's Quality Rater Guidelines, EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) is fundamental to content quality evaluation. AI systems apply similar frameworks when deciding what content to cite.
This tutorial builds on the GEO-Lens Tutorials Hub and assumes familiarity with basic GEO-Lens usage. Here, we dive deep into EEAT analysis interpretation and optimization strategies.
Key Takeaways
- ✓ Four dimensions, different weights—EEAT importance varies by content type
- ✓ Experience signals are often missed—First-person evidence differentiates quality
- ✓ Expertise requires demonstration—Credentials alone aren't enough
- ✓ Authority builds through citations—Internal and external references
- ✓ Trust is the foundation—Without trust, other dimensions suffer
- ✓ Prioritize by impact—Fix highest-weighted issues first
Understanding the Four EEAT Dimensions #
GEO-Lens analyzes each EEAT dimension independently, then combines them into an overall score weighted by content type. Understanding what each dimension measures helps you interpret results.
Experience Dimension #
Experience is the newest addition to Google's framework, added in December 2022. It measures whether content demonstrates first-hand experience with the topic. GEO-Lens looks for:
- First-person language: “I tested...”, “In my experience...”, “When I used...”
- Specific details: Precise measurements, dates, scenarios
- Original media: Your own photos, videos, screenshots
- Process documentation: Step-by-step from actual experience
- Outcome reporting: Real results, not hypothetical
Experience vs. Expertise
Experience: “I've used this product for 6 months...”
Expertise: “As a certified professional with 10 years in the field...”
Both matter, but Experience signals genuine first-hand knowledge that can't be faked with credentials.
Expertise Dimension #
Expertise measures whether the content creator has relevant qualifications and whether the content demonstrates deep knowledge. GEO-Lens evaluates:
- Author credentials: Degrees, certifications, professional experience
- Content depth: Coverage of nuance, edge cases, advanced topics
- Technical accuracy: Correct terminology, accurate claims
- Source quality: References to authoritative sources
- Schema author markup: Person schema with credentials
Authoritativeness Dimension #
Authority measures whether you and your content are recognized as authoritative on the topic. According to Moz's research, authority signals include:
- Internal linking: Content referenced by other pages on your site
- External citations: Backlinks from authoritative sources
- Brand mentions: Recognition without links
- Expert citations: Quotes or references in the content
- Organization schema: Entity establishment
Trustworthiness Dimension #
Trust is the foundation—without it, the other dimensions matter less. GEO-Lens checks:
- Contact information: Visible address, email, phone
- Privacy policy: Clear data handling practices
- Terms of service: Transparent business terms
- HTTPS: Secure connection
- Author transparency: Real names, verifiable identities
- Disclosure: Affiliate relationships, sponsorships
How GEO-Lens Scores EEAT #
GEO-Lens uses AI-driven analysis to evaluate EEAT signals and produce actionable scores. Understanding the scoring methodology helps you interpret results correctly.
Signal Detection #
| Dimension | Key Signals | Detection Method |
|---|---|---|
| Experience | First-person evidence, original media, specific details | NLP analysis, image metadata, content patterns |
| Expertise | Author credentials, content depth, terminology | Schema parsing, semantic analysis, credential verification |
| Authority | Internal links, external citations, brand recognition | Link analysis, schema review, citation counting |
| Trust | Contact info, policies, security, disclosures | Page scanning, SSL check, policy detection |
Page Type Weighting #
GEO-Lens adjusts dimension weights based on content type. According to Search Engine Journal's analysis, different content types require different EEAT emphasis:
| Page Type | Experience | Expertise | Authority | Trust |
|---|---|---|---|---|
| Product Review | ⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐ | ⭐⭐⭐ |
| How-To Guide | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐ |
| Medical/Health | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
| Financial | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
| News/Opinion | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |
Interpreting GEO-Lens EEAT Results #
GEO-Lens provides both overall scores and dimension breakdowns. Here's how to interpret and act on them.
Score Range Interpretation #
- 90-100: Excellent—maintain and monitor
- 70-89: Good—minor improvements available
- 50-69: Moderate—significant room for improvement
- Below 50: Needs work—prioritize immediate fixes
Dimension-by-Dimension Analysis #
Look at each dimension separately:
- Low Experience score: Add first-person language, original examples, hands-on evidence
- Low Expertise score: Add author credentials, deepen content, include expert sources
- Low Authority score: Improve internal linking, seek external citations, add expert quotes
- Low Trust score: Add contact info, policies, disclosures; fix security issues
EEAT Improvement Workflow #
Systematic improvement yields better results than scattered fixes. Follow this workflow for each content piece.
Step-by-Step Process #
- Run initial analysis — Get baseline EEAT scores
- Identify lowest dimension — Focus on biggest opportunity
- Review specific signals — Understand why score is low
- Implement targeted fixes — Address specific missing signals
- Re-analyze — Verify improvement
- Move to next dimension — Repeat for remaining areas
For detailed optimization steps, see our GEO-Lens Optimization Steps tutorial.
Frequently Asked Questions #
What is EEAT analysis in GEO-Lens? #
EEAT analysis in GEO-Lens evaluates your content across Experience, Expertise, Authoritativeness, and Trustworthiness dimensions. The tool checks 20+ signals including author credentials, first-party evidence, citations, schema markup, and trust indicators, providing actionable scores and specific recommendations for improvement.
How does GEO-Lens score EEAT dimensions? #
Each EEAT dimension receives a score from 0-100 based on detected signals. Experience looks for first-person language and hands-on evidence. Expertise checks author credentials and content depth. Authority examines citations and internal linking. Trust evaluates transparency, contact info, and security. Scores are weighted by page type.
Which EEAT dimension matters most for AI visibility? #
All four dimensions matter, but their relative importance varies by content type. For YMYL (Your Money or Your Life) content, Trust is paramount. For how-to content, Experience and Expertise dominate. For product reviews, Experience with evidence of hands-on testing is critical. GEO-Lens adjusts weighting automatically based on detected page type.
Can EEAT scores improve overnight? #
Some signals can improve immediately—adding author credentials, contact information, or first-person language shows instant score changes. However, authority-related signals (external citations, brand recognition) build over time. Focus on what you can control immediately while building long-term authority through quality content.
How often should I run EEAT analysis? #
Run EEAT analysis when you publish new content, update existing content significantly, or as part of regular monthly audit routines. For high-priority pages, check after each significant update. For the full site, quarterly comprehensive audits work well.
Do all pages need high EEAT scores? #
EEAT importance varies by page type and topic. YMYL content (health, finance, legal) needs strong EEAT. Entertainment or casual content can succeed with lower scores. However, for AI visibility specifically, stronger EEAT signals increase citation probability across all content types. Prioritize your most important content for EEAT optimization.
Conclusion: Systematic EEAT Improvement #
Advanced EEAT analysis transforms vague “improve quality” advice into specific, actionable improvements. By understanding how GEO-Lens evaluates each dimension and applying systematic improvement workflows, you can methodically increase your content's EEAT signals.
Remember that EEAT is about demonstrating genuine quality, not gaming signals. The goal is content that actually reflects experience, expertise, authority, and trustworthiness—GEO-Lens helps you identify where those qualities aren't being communicated clearly.
Start with your most important pages. Run EEAT analysis, identify the lowest-scoring dimension, implement targeted fixes, and verify improvement. Then move to the next dimension and repeat. This systematic approach yields measurable EEAT improvement over time.
Product Manager at Seenos.ai. Pioneer in AEO research since 2024, exploring the convergence of SEO and GEO (Generative Engine Optimization). Led multiple AI-powered content optimization projects that achieved 300%+ citation increases in ChatGPT and Perplexity.