Blog Quality & AI Content Analyzer

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Analyzes blog post quality, SEO effectiveness, and AI content probability using a comprehensive 100-point scoring system.

This skill provides a deep-dive analysis of blog content to ensure high quality, strong SEO, and human-like writing. It evaluates articles based on structural integrity, E-E-A-T signals, and citation accuracy while performing advanced AI detection through burstiness and linguistic pattern analysis. Ideal for content creators and SEO specialists, it identifies critical issues and provides actionable improvements to help content rank better and maintain credibility without requiring external Python environments.

주요 기능

01Comprehensive 100-point quality scoring across 5 key categories
02Batch processing support for auditing entire directories of content
03Structural SEO audit including header hierarchy and Answer-First formatting
0433 GitHub stars
05E-E-A-T and citation verification with source tier classification
06Advanced AI content detection using burstiness and trigger word analysis

사용 사례

01Detecting AI-generated patterns and unnatural phrasing in guest posts or outsourced content
02Auditing blog posts for SEO and E-E-A-T compliance before publishing
03Performing bulk quality checks on existing content libraries to identify high-priority improvements