Score Company ICP (Ideal Customer Profile) with Airtop

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Built by Airtop Airtop
Created on June 05, 2026

Description


Automating Company ICP Scoring via LinkedIn

Use Case

This automation scores companies based on their LinkedIn profile using custom Ideal Customer Profile (ICP) criteria. It’s ideal for qualifying B2B leads and prioritizing outreach based on fit.

What This Automation Does

Inputs required:

Company LinkedIn URL**: Public LinkedIn profile of the company.
Airtop Profile (connected to LinkedIn)**: Airtop Profile authenticated to access and extract profile data.

The automation analyzes the LinkedIn page and calculates a score based on:

Scoring Criteria

| Category | Classification | Points |
|--------------------|---------------------------|------------|
| AI Focus | Low | 5 |
| | Medium | 10 |
| | High | 25 |
| Technical Level | Basic | 5 |
| | Intermediate | 15 |
| | Advanced | 25 |
| | Expert | 35 |
| Employee Count | 0–9 | 5 |
| | 10–150 | 25 |
| | 150+ | 30 |
| Agency Status | Not Automation Agency | 0 |
| | Automation Agency | 20 |
| Geography | Outside US/Europe | 0 |
| | US/Europe Based | 10 |

The result includes:
Total ICP score
Detailed justifications for each score component

How It Works

Opens the company’s LinkedIn page using Airtop.
Analyzes metadata including employee count, headquarters, services, and keywords.
Applies the scoring rubric and returns structured JSON with scores and reasons.
Optionally flattens the result for storage or CRM integration.

Setup Requirements

Airtop API Key
LinkedIn-authenticated Airtop Profile

Next Steps

Combine with Lead Lists**: Score companies from outreach lists.
Push to CRM**: Add scores to HubSpot or Salesforce records.
Adjust Scoring Weights**: Modify rubric to reflect your ICP strategy.

Read more about company ICP scoring automation with Airtop and n8n

Nodes Used (1)

Airtop
n8n-nodes-base.airtop