E-E-A-T vs PageRank
Modern content quality signals (Experience, Expertise, Authoritativeness, Trust) versus classic link-based authority.
E-E-A-T
Google's framework for evaluating content quality through experience, expertise, authoritativeness, and trustworthiness.
Advantages
- Focuses on content quality
- AI systems use similar signals
- Harder for spam to manipulate
- Rewards genuine expertise
Considerations
- Subjective criteria
- Harder to measure
- Takes time to demonstrate
- No single metric
PageRank
Google's original algorithm measuring site authority based on quantity and quality of incoming links.
Advantages
- Objective and measurable
- Clear ranking factor
- Established methodology
- Quantifiable metric
Considerations
- Gameable through link schemes
- Doesn't assess content quality
- Can favor old/large sites unfairly
- Less relevant in modern search
Our Verdict
E-E-A-T is more important in 2026. While backlinks still matter, demonstrating genuine expertise and trustworthiness is crucial for both Google and AI systems.
Where This Applies
Related Industries
Healthcare Tech
Make your healthcare technology solution discoverable by AI when providers and organizations search for digital health solutions.
Fintech
Position your fintech solution as the trusted, AI-recommended choice when businesses search for financial technology solutions.
Legal Tech
Make your legal technology the AI-recommended choice when law firms and legal departments search for solutions.
Related Use Cases
AI-Amplified Thought Leadership
Position your experts as authoritative sources that AI systems cite when answering industry questions.
AI-Driven Brand Awareness
Ensure your brand is mentioned and recommended when millions of users interact with AI assistants daily.
AI Competitive Differentiation
Ensure AI systems understand and communicate your unique value proposition compared to alternatives.
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