E-E-A-T Checker & Quality Signals Analyzer
Analyze 25+ quality signals Google uses to evaluate content. Score your E-E-A-T instantly.
What We Check for Each E-E-A-T Component
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Experience
First-hand knowledge
- • First-person language ("I tested", "In my experience")
- • Original photos/screenshots
- • Specific details only users would know
- • Personal stories and case studies
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Expertise
Knowledge & credentials
- • Author bio with credentials
- • Professional affiliations
- • Technical depth and accuracy
- • Citations to authoritative sources
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Authoritativeness
Recognized reputation
- • Organization schema markup
- • About page with history
- • External mentions/backlinks
- • Industry awards or recognition
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Trustworthiness
Safe & reliable
- • HTTPS security
- • Privacy policy & terms
- • Clear contact information
- • Accurate, fact-checked content
Why Quality Signals & E-E-A-T Matter in 2026
With AI content flooding the web, Google is doubling down on E-E-A-T signals to identify authentic, human-created content. Sites demonstrating real experience and expertise are more resilient to algorithm updates.
E-E-A-T is especially critical for:
YMYL Topics (High Stakes)
- • Health & medical advice
- • Financial guidance
- • Legal information
- • News & current events
Competitive Niches
- • Product reviews
- • How-to guides
- • Professional services
- • B2B software
Even if you're not in YMYL, strong E-E-A-T signals help you stand out from AI-generated competitors and build lasting rankings.
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Frequently Asked Questions
What quality signals does this E-E-A-T checker analyze? ▼
This quality signals & E-E-A-T checker analyzes 25+ signals Google uses to evaluate content: author information (bio, credentials, social links), trust signals (privacy policy, contact info, HTTPS), expertise markers (citations, structured data), and experience indicators (first-person content, original media). You get a score for each E-E-A-T component plus specific fixes.
What is E-E-A-T? ▼
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness—Google's framework for evaluating content quality signals. Strong E-E-A-T signals help pages rank better, especially for YMYL (Your Money or Your Life) topics like health, finance, and legal content.
How does Google measure quality signals? ▼
Google uses algorithms trained on quality rater guidelines to measure E-E-A-T signals. They look for: author credentials and experience, citations to authoritative sources, trust indicators (HTTPS, contact info, privacy policy), first-hand experience markers, and external validation like mentions from other reputable sites.
Is E-E-A-T a ranking factor? ▼
Google says E-E-A-T isn't a direct ranking factor, but their algorithms try to measure these quality signals. In practice, pages with strong E-E-A-T consistently outrank competitors, especially after algorithm updates. Think of it as the blueprint Google uses to define "quality content."
Why did Google add "Experience" to E-A-T? ▼
Google added Experience in December 2022 to combat AI-generated content. First-hand experience—personal stories, original photos, hands-on product reviews—is something AI cannot authentically provide. This makes human-created content more valuable for E-E-A-T quality signals.
How do I improve my E-E-A-T score and quality signals? ▼
Quick wins: Add detailed author bios with credentials, include first-person experience in content, display clear contact information, add privacy policy and terms, cite reputable sources, use HTTPS. For authority: get mentioned by other sites in your niche, build topical expertise through comprehensive content.
What quality signals matter most for YMYL content? ▼
For YMYL (Your Money Your Life) content, the most critical quality signals are: author credentials and expertise (medical degree for health content, CPA for finance), citations to authoritative sources (government, academic), clear editorial review process, accuracy verification, and comprehensive trust signals like contact info and privacy policies.
Can AI content pass E-E-A-T quality checks? ▼
AI content struggles with E-E-A-T because it lacks genuine experience. To improve AI content's quality signals: add real author attribution, inject first-hand experience and unique insights, include original images, cite specific examples, and have experts review for accuracy. The Experience component specifically targets this gap.
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Want to Learn More About E-E-A-T?
Read our comprehensive guide on implementing E-E-A-T signals for better rankings.
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