# LinkedIn Engagement Analyzer

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

Source: https://cotera.co/solutions/marketing/linkedin-engagement-analyzer

---

- **Team:** Marketing
- **Tools:** LinkedIn
- **Difficulty:** easy
- **Setup time:** 5 min
- **Time saved:** 20 min/person

## How it works
1. **Pull Posts** — Gets the person's recent LinkedIn posts and what they write about
2. **Read Comments** — Surfaces the content they engage with in conversations
3. **Track Reactions** — Shows what content they passively like and endorse
4. **Build Profile** — Synthesizes all engagement data into an interest summary

## Example requests
- 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?

## Prompt

```markdown
## 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 Posts to pull the person's recent LinkedIn posts — what they write about and share
2. Use @LinkedIn/Get Comments to see what content they comment on — what topics prompt them to engage
3. Use @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.
```

## Related reading
- [LinkedIn Automation in 2026: From Chrome Extensions to AI Agents](https://cotera.co/articles/linkedin-automation-ai-agents.md)
- [LinkedIn Automation Tools in 2026: What Actually Works (And What Gets You Banned)](https://cotera.co/articles/linkedin-automation-tools-guide.md)
- [Automated LinkedIn Messaging: What Gets Replies and What Gets You Ignored](https://cotera.co/articles/automated-linkedin-messaging-guide.md)