competitor-discovery

Identify direct, adjacent, and tangential competitors from the web for a product category.

60|5|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/superamped/ai-marketing-skills --skill competitor-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitor-discovery
Source: https://github.com/superamped/ai-marketing-skills/tree/main/skills/research/competitor-discovery
Command: npx skills add https://github.com/superamped/ai-marketing-skills --skill competitor-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly identify who you’re really competing against by surfacing direct, adjacent, and tangential competitors from across the web.

Core Features & Use Cases

  • Automated discovery: Search the web using category signals to compile a candidate list of 8-12 firms with URLs and short descriptions.
  • Candidate profiling: Fetch homepage signals and summarize one-liner, target signals, and overlap type (direct/adjacent/tangential).
  • Ranking & validation: Rank results by cross-query frequency and apply simple heuristics to filter out tangential results.

Quick Start

Provide your product category, target audience, and known competitors to generate a ranked competitor list.

Frequently Asked Questions about competitor-discovery

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

FAQPage Schema
How do I identify direct, adjacent, and tangential competitors for a new product category?

To identify direct, adjacent, and tangential competitors, this Skill searches the web using category signals and ranks 8-12 rival firms by cross-query frequency. It delivers a structured list complete with URLs, short descriptions, and overlap classifications.

What inputs do I need to generate a ranked competitor list from the web?

Generating a ranked competitor list requires providing your target audience, product category, and any known competitors. These inputs seed the web search and candidate extraction logic to build and validate the final market intelligence report.

How does web search ranking logic filter out tangential competitors during market research?

Web search ranking logic filters tangential competitors by applying simple heuristics to cross-query frequency data. It fetches homepage signals and summarizes target overlap to validate candidate relevance for your specific product category.

Can I use automated competitive analysis for a market entry or product launch?

Yes, you can use automated competitive analysis for a market entry or product launch. The discovery process compiles candidate profiles with URLs and one-liners, specifically designed to support pivots and new market entries.

What is the best way to profile rival firms and classify their market overlap?

The best way to profile rival firms and classify market overlap is by fetching homepage signals to summarize one-liners and target signals. This ranks results by cross-query frequency to clearly distinguish direct, adjacent, and tangential overlap.