The main reasons for valuing E-E-A-T checks (experience, expertise, authority, and trustworthiness) in AI search optimization include:
- algorithmic dependency: AI systems such as Gemini use E-E-A-T as a core metric for judging content quality
- risk avoidance: Low E-E-A-T scores may result in content being filtered or downgraded by AI systems
- user trust: High-quality signals enhance the credibility of AI when making recommendations
Findable's LLM SEO EEAT Check feature evaluates the following dimensions:
- Author's qualifications::
- Whether to show evidence of the author's professional background and relevant experience
- History of the author's work in the field and professional certifications
- Quality of content::
- Accuracy and timeliness of information
- Whether authoritative references and data sources are cited
- brand endorsement::
- Signals of authority for the site as a whole (e.g., media coverage, industry recognition, etc.)
- Social media influence and quality of user interaction
The tool not only gives ratings, but also provides specific optimization suggestions, such as adding expert bylines, supplementing case studies, and refining references, which are key steps in improving content competitiveness in the AI era.
This answer comes from the articleFindable: Optimizing Website Content to Boost Rankings in AI Search EnginesThe
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