Find LinkedIn posts from your ICP

Find public LinkedIn posts from your ICP and get a ranked table with authors, profile URLs, relevance evidence, and outreach angles.

Created by Chris Moen • Version 38 • 20 steps

Find high-intent signals on LinkedIn

Social selling only works when you engage with the right people at the right time. This workflow automates the process of finding Ideal Customer Profile (ICP) prospects who are actively posting about topics relevant to your product or service. Instead of manually scrolling through feeds or using basic filters, this template uses a combination of search tools and AI to surface specific posts that signal a genuine need for your solution.

How the workflow connects your data

This flow integrates several powerful tools to handle the heavy lifting of lead research. It uses SerpApi to scan Google and LinkedIn for public posts based on your specific keywords. To get past modern web barriers, it utilizes the Browserbase API to access and read the full content of those posts. Finally, an artificial intelligence (AI) agent processes the gathered data against your uploaded ICP research files. This ensures the results aren't just random mentions, but qualified leads who match your target criteria.

From raw data to outreach angles

The process follows a logical path to give you actionable results:

  • The flow triggers a search for recent public LinkedIn posts using your predefined themes and industry keywords.
  • It scrapes the content of these posts, including the author’s name and their profile Link.
  • The AI agent reviews the post content against your ICP definitions to confirm if the author is a qualified prospect.
  • For every match, the system generates "relevance evidence" explaining why they fit, along with a suggested outreach angle you can use in your first message.
  • Everything is organised into a ranked table, sorted by how closely the lead matches your goals.

Why your sales team needs this

Manual LinkedIn research is a time sink that often yields low-quality results. By automating the discovery phase, your team can focus entirely on starting conversations.

  • Higher conversion rates: Reach out with specific context based on what the prospect actually wrote.
  • Reduced manual work: Move away from manual data entry and copying profile URLs.
  • Better lead quality: Use your own ICP research files to train the AI on who exactly you want to target.
  • Consistent pipeline: Ensure a steady stream of fresh, relevant posts to engage with every day.
  • Scale your social selling: Find more opportunities in ten minutes than a human could find in a full afternoon.

FAQ

What does the LinkedIn ICP research flow do?

This workflow identifies public LinkedIn posts from your Ideal Customer Profile (ICP) and provides a ranked table including profile links, relevance evidence, and tailored outreach angles.

How does the automation find and rank relevant LinkedIn posts?

The process uses SerpApi and Browserbase API to find relevant public activity, then an Artificial Intelligence model analyses the content against your specific Ideal Customer Profile files.

What integrations or files do I need to set this up?

You'll need to provide your Ideal Customer Profile research files and have active accounts for SerpApi and Browserbase API to fetch the live social data.

Can I customise the search to match my specific target audience?

Yes, you can upload your own Ideal Customer Profile definitions to guide the AI, ensuring the results focus on the exact job titles, industries, and topics that matter to your business.