Use Case

Lead generation that compounds.

AI agents scrape prospects, enrich profiles, score ICP fit, draft personalized outreach, and book meetings — learning what converts with every run.

01The Problem

Manual prospecting

Hours on LinkedIn searching, copying, pasting into spreadsheets.

Generic outreach

Same template to 500 people. 2% reply rate. No personalization at scale.

No feedback loop

You don't know which leads converted or why. Every campaign starts blind.

02How It Works
01

Scrape & Identify

AI agents scan LinkedIn, directories, and web sources to surface in-market prospects matching your ICP.

02

Enrich via LinkedIn + Hunter

Each profile is enriched with contact details, company data, and firmographics automatically.

03

AI ICP scoring

A scoring model ranks every lead by fit — so your team focuses only on the highest-intent prospects.

04

Personalized outreach drafts

Claude AI generates tailored messages for each lead based on their role, company context, and recent activity.

05

Auto-book meetings

Qualified leads flow into a booking sequence. Confirmations land in your calendar without manual follow-up.

06

Store in Knowledge Graph

Every interaction and outcome feeds the Knowledge Graph, improving scoring and messaging on every future run.

03Results

43

high-intent leads per run

15+

hours saved per execution

156

profiles enriched automatically

04Integrations Used
LinkedInHunter.ioClearbitApolloClaude AIGmailSlackKnowledge Graph

Let your agent run this workflow.