🎣 Create ideal customer profiles from LinkedIn data with Airtop and Claude AI

⚡ 986 views · 🎣 Lead Generation & Enrichment

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

Description

Define Your ICP from Customer LinkedIn Profiles

Use Case

This automation helps marketing and sales teams define their Ideal Customer Profile (ICP) using real LinkedIn profiles of current high-fit customers. By enriching and analyzing profile data, it generates a clear ICP definition and scoring methodology for future targeting.

What This Automation Does

This automation analyzes LinkedIn profiles of your existing customers and produces:

• A structured ICP definition
• A scoring model to evaluate future prospects
• A Google Boolean search string to find similar prospects

Input:

• LinkedIn profile URLs of existing high-fit customers (e.g., https://www.linkedin.com/in/amirashkenazi/)

Output:

• A Google Doc containing the ICP analysis and scoring methodology

How It Works

1. Trigger: Waits for a chat message containing one or more LinkedIn profile URLs.
2. AI Agent: Parses and processes the URLs.
3. Airtop Data Enrichment: Uses Airtop to extract structured information from each LinkedIn profile (e.g., job title, company, experience, skills).
4. Memory: Maintains state between inputs for consistent analysis.
5. LLM Analysis: Uses Claude 3.7 Sonnet to synthesize enriched data into a meaningful ICP.
6. Google Docs: Automatically creates a new doc with a timestamped title and appends the ICP definition.

Setup Requirements

1. Airtop Profile connected to LinkedIn, Insert the profile name in the Airtop Tool
2. Airtop API credentials. Get it free here
3. If you choose to activate saving the profiles in Google Docs you will need OAuth2 credentials (or just copy the ICP definition from the chat)

Next Steps

• Use the ICP for Scoring: Feed new LinkedIn profiles through the same Airtop enrichment and use the scoring function to evaluate fit.
• Automate Target Discovery: Plug the Boolean search output into LinkedIn, Google, or People Data Labs for ICP-matching lead generation.
• Refine Continuously: Repeat the workflow as your customer base grows or segments evolve.

Read more about how to Define ICP from Customer Examples

🔗 Nodes Used

Google Docs, AI Agent, Anthropic Chat Model, Simple Memory, Chat Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup