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

n8nn8n7 modulesv1.0
LinkedIn

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

At a glance

Create ideal customer profiles from LinkedIn data with Airtop and Claude AI is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects LinkedIn. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
LinkedIn
Modules
7
Price
Free
Version
v1.0
Create ideal customer profiles from LinkedIn data with Airtop and Claude AI workflow diagram

About this workflow

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., 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

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How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

Setup guide

Setup guide included

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