Score LinkedIn Profiles Against ICP with Airtop

This n8n workflow leverages Airtop to analyze individual LinkedIn profiles and compute an ICP match score out of 100. It extracts key data like full name, job title, employer, connections, and about section, then evaluates criteria such as AI interest (beginner to expert), technical depth, and seniority level using a weighted point system: AI interest (5-35 pts), technical depth (5-35 pts), and seniority (5-30 pts). The result is a enriched JSON output with the profile details and score, ideal for sales teams to focus on high-fit leads.

Benefits include rapid lead qualification without manual review, saving hours on prospect research. It integrates seamlessly with forms or upstream workflows, ensuring scalable enrichment for campaigns. Customize scoring via Airtop prompts to match your specific ICP, enhancing accuracy for B2B sales targeting tech-savvy professionals.

Use cases: Prioritize outreach in LinkedIn campaigns, enrich CRM records in HubSpot/Salesforce, or automate lead scoring in sales pipelines. Perfect for AI-focused companies identifying senior engineers or executives interested in advanced tech solutions.