competitor-profiling

Generates structured competitor profile documents from URLs using site scraping and SEO data.

Updated Jul 14, 2026
One-click install
npx skills add https://github.com/ingresarios-ai/launchago26 --skill competitor-profiling-ingresarios-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: competitor-profiling
Source: https://github.com/ingresarios-ai/launchago26/tree/main/.agents/skills/competitor-profiling
Command: npx skills add https://github.com/ingresarios-ai/launchago26 --skill competitor-profiling-ingresarios-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Researching competitors manually means visiting dozens of pages, pulling SEO metrics, and reading reviews, then assembling it all 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 - Automated Site Research: Maps and scrapes competitor homepages, pricing, features, customers, integrations, and changelogs via Firecrawl, saving raw data to dated folders for auditing and re-use. - SEO & Market Intelligence: Pulls domain rank, backlinks, ranked keywords, organic traffic, and competitor overlap data via DataForSEO, with quick scan and deep profile modes. - Structured Output: Produces one markdown profile per competitor plus a cross-competitor summary with comparison table, positioning map, and gap analysis. - Use Case: Give it three competitor URLs before a positioning workshop and receive three comparable profiles plus a summary highlighting where each competitor is strong, weak, and where market whitespace exists. ## Quick Start Profile these competitors: https://competitor1.com and https://competitor2.com, using a quick scan focused on pricing and positioning.

Frequently Asked Questions about competitor-profiling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I profile competitors from their URLs?▼

Provide a list of competitor URLs and the skill maps each site with Firecrawl, scrapes key pages (homepage, pricing, features, customers), pulls SEO metrics from DataForSEO, and synthesizes one structured markdown profile per competitor plus a summary document.

What pages should I scrape for competitor analysis?▼

Prioritize the homepage, pricing page, features pages, about page, customers or case studies page, integrations page, and changelog. Optionally scrape review sites like G2, Capterra, Product Hunt, and TrustRadius for sentiment and ratings.

What is the difference between a quick scan and a deep profile?▼

A quick scan scrapes only the homepage and pricing page plus basic SEO metrics, producing an abbreviated profile. A deep profile adds all site pages, review mining, backlink analysis, keyword intelligence, and technology stack detection. Quick scan is the default for more than three competitors.

Can I skip SEO data and only get pricing and positioning?▼

Yes, you can scope the research to skip DataForSEO calls. The skill runs site scraping and synthesis only, and flags the SEO section as not collected rather than leaving placeholders. Raw scrapes are still saved to disk for reuse.

Should I update an old competitor profile or start fresh?▼

Update it. Re-pull the pricing page first, then SEO metrics and changelog, update the generated date, and append a Change Log section. Save new raw data to a new date folder instead of overwriting prior snapshots so you can diff over time.

Can I trust competitor homepage customer logos as evidence?▼

Treat logo walls as positioning claims, not verified customer breakdowns. Cross-reference with case studies, review sites, and press releases, and check whether their traffic and backlink profile supports claimed scale before recording it as fact.