---
title: "Social post to lead outreach"
canonical: "https://agenticfeats.com/c/social-post-to-lead-outreach-claude-cowork/"
agents: ["Claude Cowork"]
evidence_grade: "B"
outcome: "completed"
job_type: "Sales"
roles: ["Founder or owner", "Marketing"]
source_url: "https://pietromontaldo.substack.com/p/find-leads-with-claude-cowork"
source_date: "2026-07-08"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Social post to lead outreach

Claude Cowork scrapes commenters on a LinkedIn post, enriches them via Apollo, scores fit against the ideal customer, and drafts DMs for the best leads.

Result: The author says up to 400 signups per live event come from this, and the DMs get a 48% response rate.

## How it was set up

Claude Cowork with the Apify and Apollo connectors, a folder holding company and ICP info, and the whole flow saved as a reusable skill.

## Worth knowing

Author's own claims with no raw data shown. Apollo asks for confirmation before spending credits, and the skill must be saved manually.

## Prompt

```text
I found a LinkedIn post that speaks to my audience. Extract everyone who commented, with their comment and profile URL, using the best Apify actor. Then enrich them via Apollo, score each 0 to 5 against my ICP for [offer], and write short DMs for scores 4 and 5 that reference their comment.
```

## Evidence note

Author states 48% response rate and signup numbers; screenshots shown, no raw data

## Sources

- Original: https://pietromontaldo.substack.com/p/find-leads-with-claude-cowork

## The receipt

- Agent: Claude Cowork
- Evidence: Numbers (grade B, a specific number stated)
- Outcome: Completed
- Job type: Sales
- Roles: Founder or owner, Marketing
- Source: Blog
- Published: 2026-07-08
- Added: 2026-10-13