Automate LinkedIn prospecting from ICP and signal data
An agent matched LinkedIn leads to a target profile, personalized the outreach, and sent messages that led to replies and one demo.
- What they did
- A user connected Grok Bot with GojiberryAI MCP and LinkedIn, then defined a narrow target profile using research on roles, company attributes, search terms, rivals, and trigger signals. From there, Grok Bot assembled outreach agents that located 97 fitting prospects, added contact and company details, researched each lead, wrote custom messages, and pushed the outreach live. After that, the user did not add more instructions.
- How it went
- The full campaign ran in under a day and touched all 97 prospects. It brought in 33 accepted connections, over 15 replies, and a demo from a company with about 50 people. The user said the main benefit was how quickly they could test the idea, not the single demo result.
- Tips
- A tight ICP and clear intent signals matter more than volume here. Always review the prospect set and message drafts before letting an agent send anything.
Try it yourself with Grok Bot
I want to prospect on LinkedIn for [product/service]. Build a target list using this ICP: [roles, company size, industry, attributes] and these buying signals: [signals]. For each match, pull in role and company details, look up anything useful for personalization, and draft a brief outreach note. Stop and show me the list of prospects and every draft for review before any message is sent, then ask for my approval. After I approve, send the messages and report back on connection accepts, replies, and demos booked.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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