ICP Lead Scoring Agent
Make · Sales · checked 2026-10-28
_Automate inbound lead qualification by researching each company on the web, weighing it against your ICP with AI lead scoring, and logging a fit score with an evidence based reason._ **Problem.** Sales reps manually research each inbound lead, visiting company websites and searching the web to judge how well the company fits the Ideal Customer Profile. This is slow and subjective, so strong leads sit unqualified while reps spend time on prospects that were never a good match. **Solution.** When a new lead is submitted through the intake form, an AI agent researches the company using live web search and weighs what it finds against the Ideal Customer Profile and disqualifiers pulled from uploaded knowledge files. It judges fit for each lead in context, then logs an ICP match score and a short evidence based reason to a spreadsheet.
At a glance
- Brand
- Make
- Jobs
- Sales
- Sources
- 1
Dimensions
- Brands: Make
- Agents: Make AI Agents · Visit via /go/
- Occupations: Sales
- Industries: cross-industry
- Tasks: research
Sources
- https://playbook.make.com/dashboard#use-case-qualify-inbound-leads-against-your-icp · fetched 2026-10-28 — “_Automate inbound lead qualification by researching each company on the web, weighing it against your ICP with AI lead scoring, and logging a fit score with an evidence based reaso”
Last checked 2026-10-28. Description source: detail-page.