🎯 Use case: Use LinkedIn engagement data + AI to craft content your Ideal Customers actually care about

Creating content that truly resonates with your audience is tough — especially when you're targeting niche, high-level personas like ESG leaders in FTSE 500 companies. This workflow shows how to turn LinkedIn engagement data into insight-driven content, using PhantomBuster and AI.

Let’s break it down 👇

🧰 What you’ll need

• LinkedIn Sales Navigator
• PhantomBuster
• ChatGPT (or another LLM)
• A Google Sheet or CSV (optional)

🔍 Step 1: Define & search for your ideal audience

In Sales Navigator:

• Use an account list of FTSE 500 companies (or your target list),
• Filter by a relevant keyword (e.g., “ESG”),
• Limit by location if needed (e.g., UK).

✅ Example: “Head of ESG at Barclays” or “VP, Sustainability at Goldman Sachs”

📥 Step 2: Scrape their LinkedIn activity

Use PhantomBuster’s LinkedIn Activity Extractor to:

• Scrape the last 20 engagements (posts, likes, comments) from each profile in your list.
• You’ll get:
  • Type of content (text, image, video),
  • Post links,
  • Engagement metrics (likes, comments, reposts),
  • Actual comments made.

This gives you a real-time window into what your ICP is engaging with.

📊 Step 3: Analyze the data with AI

Feed the scraped dataset into ChatGPT (or another AI tool) and ask it to:

• Weight engagements: likes (x1), comments (x1.25), reposts (x1.5),
• Identify the top 10 topics your audience engages with most,
• Summarize themes, tone, and common formats.

💡 Example Prompt:

“Summarize the top 10 most engaged topics using like, comment, and repost count. Use weighted scoring: likes x1, comments x1.25, reposts x1.5.”

📝 Step 4: Generate AI-Powered content aligned with their interests

Use AI to draft LinkedIn posts based on:

• The most engaged topics,
• The tone/style your audience seems to prefer,
• Relevant stats or insights from the engagement data.

💬 Example Post Hook:

“Money talks. But is your bank listening?”

You can iterate through different post lengths, styles, and add relevant data points to enhance credibility.

🎯 Why This workflow works

• Data-led: You’re not guessing — you’re analyzing what your audience actually reacts to.
• Persona-specific: Tailor your messaging to real job titles and interests.
• Content & Sales synergy: Aligns your outbound (BDRs) with your brand/content strategy.

💡 Bonus applications

You can apply this same method to any vertical:

• Fintech, LegalTech, AML/KYC,
• Startups, Compliance, Procurement…

Use it to craft:

• Cold email angles,
• Outreach messages,
• Thought leadership content,
• LinkedIn ads or webinars.

🧠 Final thoughts

Instead of guessing what your audience wants to read, this approach shows you exactly what they care about — then helps you craft content or messaging that cuts through.

Have questions or want help setting this up in PhantomBuster? Drop a comment — we’re here to help!