What problem does it solve? Evaluating whether a page meets Google's content quality expectations is subjective and time-consuming. This Skill gives you a structured audit of E-E-A-T signals, readability, keyword usage, and AI search citation readiness, producing a scored report with concrete issues and recommendations. ## Core Features & Use Cases - E-E-A-T Scoring: Applies Google's Who/How/Why heuristic and the Sept 2025 QRG framework to score Experience, Expertise, Authoritativeness, and Trustworthiness on a weighted 100-point model. - Content Metrics Audit: Checks word count against page-type floors, readability targets, keyword optimization, heading structure, multimedia, and internal/external linking. - AI Citation Readiness (GEO): Assesses quotability, structured data, heading hierarchy, and answer-first formatting for visibility in Google AI Overviews, AI Mode, ChatGPT, and Perplexity. - Use Case: Run an audit on a blog post URL before publishing to catch thin content, missing author attribution, and weak E-E-A-T signals, then follow the recommendations list to fix them. ## Quick Start Run a content quality and E-E-A-T analysis on https://example.com/blog-post and give me the score breakdown with recommendations.
