Automate LinkedIn lead evaluation and outreach drafting with n8n
This workflow uses n8n to read and enrich LinkedIn profiles, leverages an AI agent to score them against an Ideal Customer Profile (ICP) and draft three outreach messages, and saves the results to Google Sheets.
Added 2026-11-02 · originally published Sun, 01 Nov 2026 09:00:00 GMT
Steps
- 1Prepare a list containing LinkedIn profile URLs.
- 2Use the SourceGeek node to read and enrich each LinkedIn profile with hard and soft skills.
- 3Pass the enriched profile data to the AI agent along with a detailed Ideal Customer Profile (ICP).
- 4Have the AI agent score each lead from 1 to 10 and provide a rationale for the score.
- 5Have the AI agent generate three outreach message variants for each lead: an opening message, a follow-up message, and a final message.
- 6Save the scores, rationale, and generated outreach messages to Google Sheets for human review before reaching out.
Ideas for Chinese platforms
This approach can be adapted for direct messaging and community management on platforms like Xiaohongshu or WeChat Official Accounts: use automated workflows to scrape and evaluate user profiles, have AI automatically score them and draft personalized welcome greetings or follow-up scripts, and store them in a spreadsheet for manual review before sending.
Build a workflow that takes LinkedIn profile URLs from [Google Sheet name], enriches each profile, and passes it to an AI agent. The agent should score the person from 1-10 against my ideal customer profile: [ICP description], then write three outreach message variants in a [tone] tone. Save the score, reasoning and messages back to the sheet. The workflow should only draft and save messages and never send anything.
Related use cases
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