Score Company ICP via LinkedIn with Airtop

This n8n workflow automates the scoring of companies against custom Ideal Customer Profile (ICP) criteria by scraping and analyzing their LinkedIn company pages using Airtop browser profiles. It requires a company LinkedIn URL and an authenticated Airtop profile to access public data. The workflow extracts key attributes and classifies them into categories like AI Focus (Low/Medium/High), Technical Level (Basic to Expert), Employee Count ranges, Agency Status, and Geography (US/Europe vs. others), assigning points accordingly for a total ICP score.

Scoring is transparent: AI Focus gives 5-25 points, Technical Level up to 35, Employee Count 5-30, Agency status 0-20, and Geography 0-10. Outputs include the total score and detailed justifications, enabling sales teams to prioritize high-fit leads efficiently.

Benefits include massive time savings in lead qualification, reducing manual LinkedIn research from hours to minutes per company. Ideal for B2B sales, marketing, and outbound teams targeting AI/tech-savvy firms with 10+ employees in key regions. Enhances CRM pipelines by automating fit assessment, boosting conversion rates through data-driven outreach.

Use cases: Integrate into lead gen funnels post-form submissions or LinkedIn prospecting; trigger via webhooks for bulk scoring; export scores to CRM like HubSpot for segmentation.