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competitor-profiling

Generate structured competitor profiles from competitor URLs with markdown summaries.

Updated Apr 3, 2026
Search Tags:#positioning#competitive intelligence#market analysis#sales enablement#competitor research#pricing analysis#seo analysis
One-click install
npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill competitor-profiling-lapaixkemsdortshlee-svg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: competitor-profiling
Source: https://github.com/lapaixkemsdortshlee-svg/AyitiMarket/tree/main/.agents/skills/competitor-profiling
Command: npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill competitor-profiling-lapaixkemsdortshlee-svg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns a list of competitor websites into structured, evidence-based profiles so you can understand positioning, pricing, product scope, customer proof, and market strength without doing manual research from scratch.

Core Features & Use Cases

  • Competitor site discovery: Maps a site to find the most relevant pages to analyze, including homepage, pricing, features, about, customers, integrations, blog, and changelog.
  • Structured market intelligence: Extracts messaging, pricing tiers, feature sets, social proof, review signals, backlink strength, keyword visibility, and traffic estimates into comparable markdown profiles.
  • Cross-competitor synthesis: Produces individual profiles plus a summary that highlights relative strengths, weaknesses, positioning gaps, and strategic opportunities.
  • Use case: A sales team can profile several rivals before a launch, then use the findings to sharpen battle cards and identify where the market is underserved.

Quick Start

Use the competitor-profiling skill to analyze these competitor URLs and generate a quick scan profile for each one.

Frequently Asked Questions about competitor-profiling

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

FAQPage Schema
How do I generate structured competitor profiles from a list of URLs?▼

Competitor profiling generates structured markdown profiles from URLs by site mapping and scraping pages like pricing and features, extracting messaging, social proof, and SEO data into comparable market intelligence outputs.

What is competitive intelligence site mapping and how does it work for market analysis?▼

Competitive intelligence site mapping discovers relevant pages like homepage, pricing, features, and changelog to extract structured market intelligence, pulling messaging, pricing tiers, review signals, and backlink strength into comparable markdown profiles.

Can I analyze multiple competitors at once for sales enablement battle cards?▼

Yes, you can profile several rivals simultaneously. The skill produces individual competitor profiles and a cross-competitor synthesis summary highlighting relative strengths, weaknesses, positioning gaps, and strategic opportunities for sales enablement.

Does competitor profiling include SEO analysis and backlink data collection?▼

Yes, competitor profiling includes SEO analysis and backlink data collection. It extracts keyword visibility, traffic estimates, and backlink strength alongside pricing tiers and feature sets into structured markdown profiles.

What's the best way to compare competitor positioning and pricing tiers across multiple rivals?▼

The best way to compare competitor positioning and pricing is generating structured profiles for each rival, then using the cross-competitor synthesis summary to highlight relative strengths, weaknesses, and positioning gaps across the market.

Are there limitations to automated competitor research when scraping review signals and traffic estimates?▼

Automated competitor research relies on site mapping and scraping, so dynamic content or gated pages may limit data collection. Optional review mining and traffic estimates depend on accessible public signals and raw data persistence.

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