Create ideal customer profiles from LinkedIn data with Airtop and Claude AI
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (6)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Airtop Tool
n8n-nodes-base.airtopTool - Google Docs
n8n-nodes-base.googleDocs
What it does
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