🎣 Automate company ICP scoring with Explorium data and Claude AI analysis
⚡ 463 views · 🎣 Lead Generation & Enrichment
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."
}
## 🔗 Nodes Used
HTTP Request, AI Agent, Anthropic Chat Model, n8n Form Trigger, MCP Client Tool
## 📥 Import
Download [`workflow.json`](workflow.json) and import into n8n:
**Workflow menu → Import from File**
[📖 Importing guide](../../../docs/importing-templates.md) · [🔑 Credential setup](../../../docs/credential-setup.md)