What problem does it solve? Evaluating whether a web page meets Google's content quality and E-E-A-T expectations is subjective and time-consuming, and it is hard to know if content is structured well enough to be cited by AI search engines like ChatGPT, Perplexity, and Google AI Overviews. ## Core Features & Use Cases - E-E-A-T Scoring: Applies Google's Who/How/Why heuristic and scores Experience, Expertise, Authoritativeness, and Trustworthiness on a weighted 100-point model aligned with Google's stated trust-first hierarchy. - Content Metrics Audit: Checks word count against page-type minimums, readability, keyword optimization, heading structure, multimedia usage, and internal/external linking patterns. - AI Citation Readiness (GEO): Assesses quotability, structured data, answer-first formatting, and entity clarity for visibility across AI search surfaces. - Use Case: Run an audit on a blog post URL to receive a Content Quality Score, an E-E-A-T breakdown table, an AI Citation Readiness score, and a prioritized list of issues and recommendations. ## Quick Start Ask the assistant to run a content quality and E-E-A-T analysis on a specific page URL and report the scores, issues, and recommendations.
