What problem does it solve? Researching competitors manually means visiting dozens of pages, copying pricing tables, and hunting for SEO metrics one domain at a time. This Skill automates that research by turning a list of competitor URLs into consistent, comparable markdown profile documents backed by scraped site content and quantitative SEO data. ## Core Features & Use Cases - Three-phase research pipeline: Maps and scrapes competitor sites with Firecrawl (homepage, pricing, features, customers, integrations, changelog), pulls backlink and keyword intelligence from DataForSEO, then synthesizes everything into a standardized profile template. - Raw data persistence: Saves every scrape, SEO response, and review source to dated folders under competitor-profiles/raw/ so snapshots can be audited, reused, and diffed over time 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 (reviews, backlinks, content strategy) 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 individual profiles are complete. - Use Case: Give it three competitor URLs before a sales kickoff and receive three structured profiles plus a comparison summary covering positioning, pricing tiers, G2 ratings, organic traffic, and competitive implications for your product. ## Quick Start Profile these competitors for me: https://competitor1.com and https://competitor2.com, using a quick scan focused on pricing and positioning.