What problem does it solve? Evaluating whether web content meets Google's quality standards and is likely to be cited by AI search engines requires checking dozens of signals manually, from E-E-A-T indicators to readability and structure. This Skill automates that audit and produces a scored, actionable report. ## Core Features & Use Cases - E-E-A-T Scoring: Rates Experience, Expertise, Authoritativeness, and Trustworthiness signals against the September 2025 Quality Rater Guidelines, producing a 100-point content quality score. - Content Metrics Audit: Checks word count against page-type minimums, Flesch readability, keyword optimization, heading structure, multimedia usage, and internal/external linking. - AI Citation Readiness (GEO): Assesses quotability, structured data, answer-first formatting, and entity clarity for visibility in Google AI Overviews, AI Mode, ChatGPT, and Perplexity. - Use Case: A content marketer suspects a blog post is underperforming. They run the audit on the URL and receive an E-E-A-T breakdown table, an AI citation readiness score, and a prioritized list of issues and recommendations. ## Quick Start Analyze the content quality and E-E-A-T signals of https://example.com/blog-post and give me the score breakdown and recommendations.
