Conducts comprehensive content quality audits and E-E-A-T assessments to optimize for modern search engines and AI citation engines.
This skill empowers developers and marketers to perform deep-dive content audits directly within Claude Code. It evaluates pages against the latest E-E-A-T framework (Experience, Expertise, Authoritativeness, and Trustworthiness) while assessing 'AI Citation Readiness' for platforms like Google AI Overviews, Perplexity, and ChatGPT. By analyzing readability, keyword density, and structural integrity, it identifies thin content risks and provides actionable recommendations to improve visibility in both traditional search and the emerging landscape of Generative Engine Optimization (GEO).
主要功能
01Structural hierarchy auditing for H1-H3 flow and scannability.
02Topical coverage analysis with page-type specific word count guidelines.
03Comprehensive E-E-A-T scoring based on the latest 2025 Quality Rater Guidelines.
04Automated readability analysis using Flesch scores and sentence length metrics.
05AI Citation Readiness assessment to improve visibility in Generative Engine Optimization (GEO).
0635,079 GitHub stars
使用场景
01Identifying and fixing thin content or keyword stuffing issues on existing URLs.
02Auditing blog posts or service pages for E-E-A-T signals before publication.
03Optimizing technical content to be cited by AI search engines like ChatGPT and Perplexity.
