Blog Quality & SEO Analyzer
Audits and scores blog posts across SEO, E-E-A-T, and AI-readiness metrics to ensure high-performance content.
The blog-analyze skill provides a comprehensive 100-point evaluation of blog content, covering everything from traditional SEO optimization and technical health to modern E-E-A-T signals and AI citation readiness. It utilizes advanced analysis techniques including sentence burstiness and vocabulary diversity to detect AI-generated content risks and ensure human-like readability. Whether analyzing local Markdown files or live URLs, this skill delivers a prioritized roadmap of actionable fixes to help content rank higher on Google and become a preferred source for AI-driven search engines.
Key Features
01Support for local files, directories, and live URL analysis via WebFetch
02100-point multi-category scoring system (SEO, E-E-A-T, Quality, Technical, AI)
03Prioritized issue reporting with specific fixes and multiple export formats
04Automated E-E-A-T signal auditing for trust and authority verification
05Advanced AI content detection using burstiness and vocabulary diversity metrics
06746 GitHub stars
Use Cases
01Auditing an entire blog repository to identify and fix low-quality or outdated posts
02Ensuring AI-generated drafts meet human quality standards and avoid search engine flags
03Optimizing content structure for higher probability of being cited by AI search engines