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Lead Generation & Enrichment

Score Company ICP Fit with Explorium and Claude

When a company name is submitted in a form, a Claude agent retrieves firmographic data through Explorium and scores how well it fits your ideal customer profile.

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What it does

# 🧠 ICP Scoring Agent (n8n + Explorium + LLM) ## 🔧 How It Works 1. Input: Company name 2. MCP Server pulls firmographic & tech data 3. LLM scores the company using 3-pillar framework 4. Output: Structured Google doc created with leveraged @AgentGeeks formater ## 📊 Scoring System (100 pts total) | Pillar | Max | |---------------------------|-----| | Strategic Fit | 40 | | AI / Tech Readiness | 40 | | Engagement & Reachability | 20 | ## 🧠 Criteria - Strategic Fit: Industry, size, buyer roles, use case - Tech Readiness: AI focus, hiring, stack maturity - Reachability: Geography, contactability, data quality ## 🏁 Verdicts - 90–100: ⭐ Ideal ICP - 70–89: ✅ Good Fit - 40–69: ⚠️ Medium Fit - < 40: ❌ Poor Fit ## 💼 Use Case Score and rank companies automatically for GTM prioritization. Use structured JSON to map into CRMs, Docs, or lead routing systems.

The steps

  1. On form submission
  2. AI Agent
  3. MCP Client
  4. Anthropic Chat Model
  5. HTTP Request

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