Automate Company ICP Scoring with Explorium Data and Claude AI Analysis

Description

🧠 ICP Scoring Agent (n8n + Explorium + LLM)

This workflow automates Ideal Customer Profile (ICP) scoring for any company using a combination of Explorium data and an LLM-driven evaluation framework.

🔧 How It Works

Input: Company name is submitted via form.
Data Enrichment: Explorium's MCP Server is used to fetch firmographic, hiring, and tech data about the company.
Scoring Logic: An AI agent (LLM) applies a 3-pillar framework to assess and score the company.
Output: A structured JSON or Google Doc summary is generated using the AgentGeeks formatter.

📊 Scoring System (100 points total)

| Pillar | Max Points |
|------------------------------|------------|
| Strategic Fit | 40 |
| AI / Tech Readiness | 40 |
| Engagement & Reachability | 20 |

🧠 Scoring Criteria

Strategic Fit**: Industry, size, use case, buyer roles
Tech Readiness**: AI maturity, hiring trends, stack visibility
Reachability**: Geography, contactability, data quality

🎯 Verdict Scale

🟩 90–100: Ideal ICP
✅ 70–89: Good Fit
🟨 40–69: Medium Fit
❌ < 40: Poor Fit

📦 Workflow Components

Trigger**: Form submission via webhook
MCP Client**: Pulls enriched company data via Explorium's MCP API
AI Agent**: Uses Anthropic Claude (or other LLM) to calculate scores
Output**: Results are posted to a structured endpoint (e.g. Google Doc or JSON API)

🧰 Dependencies

n8n (self-hosted or cloud)
Explorium MCP credentials and access
LLM API (e.g., Anthropic Claude, OpenAI, etc.)
Optional: AgentGeeks formatter or similar doc generator

💼 Use Case

This ICP scoring system is designed for GTM and sales teams to:

Automate lead prioritization
Qualify accounts before outbounding
Sync ICP data into CRMs, routing systems, or reporting layers

📈 Example Output in Google Doc

{
"company": "Acme Inc.",
"score": 87,
"verdict": "Good Fit",
"pillars": {
"strategic_fit": 35,
"tech_readiness": 37,
"reachability": 15
},
"summary": "Acme Inc. is a mid-sized SaaS company with strong AI hiring activity and a buyer profile aligned to enterprise IT. Moderate reachability via firmographic signals."
}