Enrich LinkedIn leads, rank them, and draft outreach in n8n
An n8n flow enriches LinkedIn profiles, rates them against an ICP, and prepares three message drafts for later review in Google Sheets.
- What they did
- A start-up wired together an n8n automation that begins with LinkedIn profile links. It pulls in skill data through SourceGeek, then sends each profile to an AI agent along with the company’s target-customer criteria. The agent returns a score and three suggested messages: an opening note, a follow-up, and a last attempt. Those outputs are written to Google Sheets so a person can choose which leads to approach.
- How it went
- The setup leaves the team with ranked prospects and prewritten outreach, but the messages are not sent automatically. In the comments, someone pointed out that scoring can drift from one lead to the next.
- Tips
- The creator recommends giving the ICP a very specific definition, including who fits and who should be left out. It also helps to ask the agent to show its thinking for each score.
Try it yourself with n8n
Build an n8n workflow that takes LinkedIn profile URLs from [source], enriches each profile with [skills or profile fields] through [enrichment tool], and passes the result to an AI agent. Use this ICP description: [detailed ICP description]. Have the agent rate each lead from 1 to 10, explain the reason for the rating, and write three outreach drafts in a [tone] style: an initial message, a follow-up, and a final follow-up. Save the score, explanation, and drafts to [Google Sheet name]. The workflow should stop after saving and must not send any message or carry out any irreversible action unless I explicitly approve it first.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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