Tools / Lead Finder / Use Cases / Build Targeted Prospect Lists

Build Targeted Prospect Lists

Create comprehensive prospect lists with company data and contact information for outbound campaigns.

Tool
Lead Finder icon
Lead Finder

A high-quality prospect list is the foundation of every successful outbound sales campaign. The difference between a mediocre list and a great one is not size but precision — targeting the right companies with the right contacts at the right time. Building these lists manually takes hours; automating it with the right tools takes minutes.

ToolRouter's Lead Finder combines company search, people search, and enrichment into a single workflow. Start by defining your ideal customer profile, then find_companies surfaces matching organizations, find_people identifies the right contacts, and enrich_company adds the firmographic data your team needs to personalize outreach.

This three-step approach ensures every prospect on your list meets your qualification criteria and includes enough context for personalized outreach. Sales teams that use enriched, targeted lists consistently outperform those working from generic databases.

Agent Guides

Claude

  1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Build a prospect list of AI startups with 20-100 employees that raised Series A"
  3. Claude uses find_companies to identify matching companies
Read full guide →

ChatGPT

  1. Add ToolRouter to ChatGPT
  2. Ask: "Build a prospect list of 25 B2B SaaS companies in the HR tech space"
  3. ChatGPT finds companies and presents them with key firmographic data
Read full guide →

Copilot

  1. Add ToolRouter to Copilot MCP config
  2. Ask: "Build a prospect list of companies using Next.js in production"
  3. Review the prospect data inline
Read full guide →

OpenClaw

  1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask: "Build a list of 50 e-commerce companies in the US with 100+ employees"
  3. OpenClaw returns matching companies with firmographic data
Read full guide →

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