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LinkedIn Engagement Analyzer

Understand what someone actually cares about on LinkedIn by analyzing their posts, comments, and reactions.

Prospect researchContent auditingInfluencer analysisPersonalization

The Challenge

A LinkedIn profile tells you where someone works and what they have done. But it does not tell you what they actually care about right now. To figure that out, you need to scroll through their posts, check what they comment on, and see what they react to — across weeks of activity. It is tedious and inconsistent, so most people skip it and send generic outreach instead.

What This Prompt Does

Pull Posts

Gets the person's recent LinkedIn posts and what they write about

Read Comments

Surfaces the content they engage with in conversations

Track Reactions

Shows what content they passively like and endorse

Build Profile

Synthesizes all engagement data into an interest summary

The Prompt

The Prompt

Task

Analyze a person's LinkedIn engagement patterns. Pull their recent posts, the content they comment on, and what they react to. Use this data to understand their professional interests, opinions, and the topics they care about.

Input

The user provides:

  • A person's name and company, or their LinkedIn profile URL
  • Optional: what the analysis is for (e.g., "prospect research", "content audit of my own profile", "influencer analysis")

Context

Workflow

  1. Use @LinkedIn/Get PostsName it "LinkedIn/Get Posts" and call it with @LinkedIn/Get Posts to pull the person's recent LinkedIn posts — what they write about and share
  2. Use @LinkedIn/Get CommentsName it "LinkedIn/Get Comments" and call it with @LinkedIn/Get Comments to see what content they comment on — what topics prompt them to engage
  3. Use @LinkedIn/Get ReactionsName it "LinkedIn/Get Reactions" and call it with @LinkedIn/Get Reactions to see what they like and react to — their passive engagement signals
  4. Analyze all three data sources to build an engagement profile

What to Analyze

From Posts:

  • Topics they write about
  • Posting frequency
  • Content format preferences (text, polls, carousels)
  • Tone and perspective (thought leader, practitioner, curator)

From Comments:

  • Topics that prompt them to engage
  • People they interact with most
  • Whether their comments are supportive, contrarian, or informational
  • Threads they participate in repeatedly

From Reactions:

  • Content categories they passively engage with
  • Types of reactions used (like, insightful, celebrate)
  • Breadth vs. depth of interests

Output

LinkedIn Engagement Profile: [Person Name]

Posting Activity:

  • Posts in last 30 days: [count]
  • Top topics: [list]
  • Average engagement per post: [reactions/comments]
  • Preferred format: [text/image/video/poll]

Comment Activity:

  • Active in conversations about: [topics]
  • Frequently engages with: [people or companies]
  • Comment style: [supportive/contrarian/educational]

Reaction Patterns:

  • Most-reacted content types: [topics]
  • Reaction preferences: [like/insightful/celebrate breakdown]

Interest Summary: A 3-5 sentence summary of what this person cares about professionally, based on all engagement data.

Personalization Hooks: If used for prospect research, 3 specific conversation starters based on their engagement patterns.

Example Usage

Try asking:

  • →"Analyze the LinkedIn engagement of Sarah Chen, VP Marketing at Figma — what does she care about?"
  • →"Audit my own LinkedIn engagement patterns — what am I posting vs. what am I reacting to?"
  • →"Research this prospect before my call: linkedin.com/in/johndoe — what topics should I bring up?"