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vc-competitive-landscape

Design search queries and enrich company profiles for competitor analysis.

1|Updated Mar 4, 2026
Search Tags:#market analysis#business intelligence#extruct#VC#market mapping#competitor scoping
One-click install
npx skills add https://github.com/extruct-ai/vc-skills --skill vc-competitive-landscape
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vc-competitive-landscape
Source: https://github.com/extruct-ai/vc-skills/tree/main/skills/vc-competitive-landscape
Command: npx skills add https://github.com/extruct-ai/vc-skills --skill vc-competitive-landscape

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires extruct-api, and includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables venture capital teams to systematically scope, discover, and analyze competitors across multiple market levels, facilitating strategic market mapping and intelligence gathering.

Core Features & Use Cases

  • Competitor Scoping: Design tailored search queries for direct, indirect, adjacent, and substitute competitors based on market context and seed companies.
  • Market Discovery: Perform semantic and lookalike searches to identify relevant companies using Extruct API, optimizing coverage and efficiency.
  • Data Enrichment: Validate company relevance, remove false positives, and deepen profiles with funding, ownership, key clients, reviews, news, and hiring signals.
  • Comparison & Mapping: Generate feature matrices and market maps to visualize competitive positions and gaps.
  • Use Case: Map the competitive landscape of AI legal SaaS in Brazil, discovering key players and potential entrants, informing investment decisions.

Quick Start

Provide your market context and seed companies to begin competitor scoping and let the skill run semantic searches, discovery, and enrichment workflows automatically.

Frequently Asked Questions about vc-competitive-landscape

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

FAQPage Schema
How do I map the competitive landscape for VC market analysis?▼

Competitor scoping for VC insights starts by providing your market context and seed companies. The skill designs tailored search queries to discover direct, indirect, and substitute competitors, then enriches profiles with financial and strategic data.

How does semantic and lookalike search discover relevant companies for market mapping?▼

Semantic and lookalike search discovers relevant companies by executing targeted queries based on your market definition. This optimizes coverage and efficiency, validating company relevance and removing false positives during the competitor scoping workflow.

Can I use this skill to analyze direct, indirect, and substitute competitors together?▼

Yes, you can analyze direct, indirect, adjacent, and substitute competitors together. The skill designs tailored search queries across multiple market levels based on your market context and seed companies for comprehensive competitor scoping.

Do I need the extruct-api to perform competitor scoping and data enrichment?▼

Yes, the extruct-api dependency is required to perform competitor scoping and data enrichment. It powers the semantic and lookalike searches used to identify relevant companies and deepen profiles with funding, hiring, and ownership signals.

What is the best way to generate feature matrices and market maps for investment decisions?▼

The best way to generate feature matrices and market maps is by running the discovery and enrichment workflows automatically. This visualizes competitive positions and gaps across the market, informing strategic venture capital investment decisions.

What kind of financial and strategic data is enriched during competitor analysis?▼

During competitor analysis, company profiles are enriched with funding, ownership, key clients, reviews, news, and hiring signals. This financial and strategic data validates company relevance and supports competitive strategy for venture capital teams.

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