Create ICP from LinkedIn Profiles with Airtop & Claude AI

This n8n workflow revolutionizes sales and marketing by transforming LinkedIn profiles of high-fit customers into a structured Ideal Customer Profile (ICP). It starts with a chat trigger capturing LinkedIn URLs, uses an AI agent to parse them, and leverages Airtop for deep data enrichment including job titles, companies, experience, and skills. Claude 3.7 Sonnet then synthesizes this data into a comprehensive ICP definition, complete with a prospect scoring model and Google Boolean search strings for targeting similar leads.

Key benefits include time savings for teams manually analyzing profiles, consistent ICP generation across multiple inputs via memory management, and actionable outputs like timestamped Google Docs. It's ideal for B2B sales enabling precise lead qualification and scaling customer acquisition strategies.

Use cases span sales enablement, where teams input current customer profiles to refine targeting; marketing for persona development; and growth hacking to automate prospecting strings. Setup requires Airtop credentials and optional Google Docs OAuth, making it accessible yet powerful for revenue-focused automations.