# LinkedIn Content Tracker

> Monitor what competitors and industry leaders post on LinkedIn, and see what actually gets engagement.

Source: https://cotera.co/solutions/marketing/linkedin-content-tracker

---

- **Team:** Marketing
- **Tools:** LinkedIn
- **Difficulty:** medium
- **Setup time:** 10 min
- **Time saved:** 2-3 hrs/week

## How it works
1. **Search by Topic** — Find LinkedIn posts matching your industry keywords or themes
2. **Pull Company Posts** — Get recent posts from specific competitor company pages
3. **Analyze Engagement** — Count reactions and read comments to measure what resonates
4. **Spot Patterns** — Identify which topics and formats consistently outperform

## Example requests
- Track what HubSpot, Salesforce, and Outreach are posting about on LinkedIn this month
- Search LinkedIn for posts about "AI sales tools" and show me the ones with the most engagement
- Compare the LinkedIn content strategy of Gong vs. Chorus — what topics does each focus on?

## Prompt

```markdown
## Task

Monitor competitor or industry content on LinkedIn. Search for posts by topic or company, pull recent company page posts, and analyze engagement (comments and reactions) to identify what themes resonate with the audience.

## Input

The user provides one or more of:
- Company name(s) or LinkedIn company URL(s) to monitor
- Industry topics or keywords to track
- Time range (e.g., "last 30 days", "this quarter")
- Optional: specific competitors to compare against

## Context

### Workflow

1. Use @LinkedIn/Search Posts to find posts matching the user's topic or keyword criteria
2. Use @LinkedIn/Get Company Posts to pull recent posts from specific company pages
3. For the top-performing posts, use @LinkedIn/Get Post Comments to read the conversation
4. Use @LinkedIn/Get Post Reactions to count and categorize engagement on each post
5. Analyze patterns: what topics get the most engagement, what formats work, what falls flat
6. Compile findings into a content intelligence report

### What to Track Per Post

- Post author and company
- Post content and format (text, image, video, carousel, poll)
- Reaction count and breakdown (like, celebrate, support, insightful, etc.)
- Comment count and key themes from comments
- Post date and timing

### Analysis Dimensions

- Topic clusters: group posts by theme and compare engagement
- Format performance: which content formats get more reactions
- Engagement quality: are comments substantive or generic
- Posting cadence: how often competitors publish

## Output

**Content Monitoring Report**

**Posts Analyzed:** [count]
**Companies Tracked:** [list]
**Date Range:** [range]

**Top-Performing Posts:**

| # | Author/Company | Topic | Format | Reactions | Comments | Key Takeaway |
|---|----------------|-------|--------|-----------|----------|-------------|
| 1 | [name] | [topic] | [format] | [count] | [count] | [insight] |

**Theme Analysis:**
- Theme 1: [topic] - avg [X] reactions, [Y] comments
- Theme 2: [topic] - avg [X] reactions, [Y] comments

**Content Gaps:**
Topics your competitors are not covering that could be opportunities.

**Recommendations:**
Based on what is working for competitors, here are content ideas to test.
```

## Related reading
- [LinkedIn Automation Tools in 2026: What Actually Works (And What Gets You Banned)](https://cotera.co/articles/linkedin-automation-tools-guide.md)
- [LinkedIn Scraping Tools Compared: Extensions, APIs, and AI Agents](https://cotera.co/articles/linkedin-scraping-tools-comparison.md)
- [LinkedIn Automation in 2026: From Chrome Extensions to AI Agents](https://cotera.co/articles/linkedin-automation-ai-agents.md)