What problem does it solve? Researching competitors manually means visiting dozens of pages, pulling SEO metrics, and assembling notes into a comparable format. This Skill automates that research pipeline, turning a list of competitor URLs into consistent, evidence-backed profile documents. ## Core Features & Use Cases - Three-phase research pipeline: Scrapes key competitor pages with Firecrawl (homepage, pricing, features, customers, integrations, changelog), pulls SEO and backlink metrics with DataForSEO, then synthesizes findings into a standardized profile template. - Raw data persistence: Saves every scrape, SEO response, and review source to dated folders under competitor-profiles/raw/ so data can be audited, diffed over time, and reused without re-running API calls. - Quick scan vs. deep profile modes: Defaults to a fast homepage-plus-pricing scan for large competitor lists, with a full deep-profile mode for three or fewer competitors. - Cross-competitor summary: Produces a _summary.md with a side-by-side comparison table, positioning map, key takeaways, and market gaps after all profiles are complete. - Use Case: Give it five competitor URLs before a positioning workshop and receive five comparable profile markdown files plus a landscape summary with a positioning map and opportunity analysis. ## Quick Start Profile these competitors for me: https://competitor-a.com and https://competitor-b.com, using a quick scan focused on pricing and positioning.
