E-E-A-T Ratings - MarkedIn Feature

What is E-E-A-T?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness - Google's framework for assessing content quality.

While originally created for human search evaluators, AI models like ChatGPT, Perplexity, and Gemini now use similar signals to determine which sources to cite.

The Four Pillars

📚 Experience

First-hand knowledge: Does the content demonstrate real-world experience with the topic?

AI looks for: Personal insights, case studies, practical examples, original research

🎓 Expertise

Subject matter mastery: Is the author qualified to write about this topic?

AI looks for: Credentials, certifications, published work, recognized authority

👑 Authoritativeness

Industry recognition: Is this a go-to source for this topic?

AI looks for: Backlinks from reputable sites, media mentions, awards, citations by peers

🔒 Trustworthiness

Reliability & safety: Can users trust this information?

AI looks for: HTTPS, privacy policy, contact info, editorial standards, fact-checking

How MarkedIn Scores E-E-A-T

Our algorithm analyzes your content for AI-recognizable trust signals:

Author Credentials: Bio presence, LinkedIn profiles, published works
Content Depth: Word count, topic coverage, unique insights
Citations & Sources: Outbound links to authoritative sites
Domain Signals: Age, backlink profile, site security
User Engagement: Comments, shares, time on page
Editorial Standards: Last updated dates, fact-checking disclosures

Optimization Recommendations

MarkedIn provides actionable insights to improve each E-E-A-T dimension:

Add author bios with credentials to establish expertise
Include case studies and real-world examples for experience
Build quality backlinks to boost authoritativeness
Implement HTTPS and display trust badges for trustworthiness
Update content regularly to show freshness
Cite authoritative sources to demonstrate rigor

Why It Matters for AI Search

AI models are trained to avoid misinformation. They preferentially cite content with strong E-E-A-T signals because:

Reduces risk of spreading false information
Provides users with reliable, trustworthy answers
Aligns with the models' safety guidelines
Improves user satisfaction and trust in AI

Bottom line: High E-E-A-T = More AI citations

⭐ E-E-A-T Ratings