What problem does it solve? Adding a new competitor to an AI visibility tool directory requires manual research, data entry, screenshot capture, and ranking decisions. This Skill automates the entire workflow from a single URL, producing a consistent, type-checked competitor entry. ## Core Features & Use Cases - Automated Competitor Research: Fetches the competitor's website to extract product name, category, pricing, status, and factual highlights written in neutral language. - Feature Flag Mapping: Maps research findings against 22 defined feature flags (multi-LLM tracking, citation analytics, sentiment analysis, etc.) in the TypeScript data model. - Domain Metrics & Screenshots: Runs scripts to fetch Ahrefs DR/traffic metrics and capture a homepage screenshot uploaded to blob storage. - Ranking Placement: Inserts the tool's slug into the AEO popularity ranking tiers (A through F) or the not-applicable set based on traction criteria. - Use Case: Given the URL of a new AI visibility tool, generate a complete competitor entry in data.ts with metrics, screenshot, features, and ranking, then verify it compiles with TypeScript. ## Quick Start Add the competitor at https://example.com to the AI visibility tools directory.
