Competitor Monitoring System
Set up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, reviews, social, and product moves.
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Competitor Monitoring System
Set up ongoing competitive intelligence for a client. Monitor competitor content, ads, reviews, social presence, and product moves. Produce regular intelligence reports.
When to Use
- "Set up competitor monitoring for [client]"
- "Track what [competitors] are doing"
- "Monitor [competitor] content and ads"
Prerequisites
- List of competitors to track (typically 3-7)
- Client context with competitive positioning
- Competitor founder/executive LinkedIn profiles (for social monitoring)
Setup Steps
1. Define Competitor Watchlist
Create a competitor tracking file: clients/<client-name>/intelligence/competitor-watchlist.md
For each competitor, document:
- Company name and URL
- Key products/features
- Founder/exec LinkedIn profiles
- Known content channels (blog URL, YouTube, podcast)
- Review profiles (G2, Capterra URLs)
- Ad library pages (Meta, Google)
2. Initial Competitive Baseline
Run the full competitor-intel composite for each competitor to establish a baseline:
Skill: competitor-intel (chains reddit + twitter + linkedin + blog + review scrapers)
Plus:
- Skill: google-ad-scraper — Scrape their current Google ads
- Method: Use
web_searchagainst Meta Ad Library (facebook.com/ads/library) for Meta ad research - Skill: review-site-scraper — Pull latest G2/Capterra/Trustpilot reviews
Output: clients/<client-name>/intelligence/competitor-baseline.md
3. Configure Monitoring Cadence
| What to Monitor | Frequency | Skill | What to Look For |
|---|---|---|---|
| Blog/content output | Weekly | blog-feed-monitor | New posts, topic shifts, SEO attacks |
| Social media posts | Weekly | linkedin-profile-post-scraper + twitter-mention-tracker | Messaging changes, product announcements, engagement patterns |
| Reddit/HN mentions | Weekly | reddit-post-finder + hacker-news-scraper | User sentiment, complaints, praise, feature requests |
| Ad creative changes | Bi-weekly | google-ad-scraper + web_search (Meta Ad Library) | New campaigns, messaging shifts, spend changes |
| Review sentiment | Monthly | review-site-scraper | New reviews, rating trends, common complaints |
4. Run Monitoring
Each monitoring cycle:
- Run the relevant scrapers for the cycle type
- Compare new data against the baseline/previous cycle
- Flag significant changes:
- New product features or pricing changes
- New content targeting our client's keywords
- Negative review trends (poaching opportunity)
- New ad campaigns (messaging intelligence)
- Founder/exec public statements about strategy
5. Produce Intelligence Report
After each cycle, produce a brief intelligence summary:
# Competitor Intelligence — [Client] — Week of [Date]
## Key Changes
- [Competitor A] published 3 new blog posts targeting "[keyword]"
- [Competitor B] launched new Meta ad campaign focused on [theme]
- [Competitor C] received 5 negative G2 reviews about [issue]
## Recommended Actions
- Publish response content for [Competitor A]'s keyword attack
- Create comparison page addressing [Competitor B]'s new messaging
- Target [Competitor C]'s unhappy customers with migration content
## Detailed Findings
[Per-competitor breakdown]Output: clients/<client-name>/intelligence/competitor-reports/[date].md
Ongoing Cadence
- Weekly: Content + social monitoring, brief report
- Bi-weekly: Ad monitoring
- Monthly: Full review scrape + comprehensive report
- Quarterly: Re-run full competitor-intel baseline, update watchlist
Human Checkpoints
- After setup: Review competitor watchlist and monitoring plan
- After each report: Review recommended actions before executing
What's included
Trend Discovery
Discover rising category conversations, formats, sounds, questions, and creator patterns across social platforms, then separate durable demand signals from short-lived noise.
Transcript Intelligence
Turn TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Reddit, or Rumble transcripts into timestamped hooks, claims, objections, proof, calls to action, sponsorship signals, and reusable content atoms. Use directly for transcript analysis or as support for creator, competitor, trend, demand, and repurposing work.
Social Listening Brief
Produce a decision-ready brief of current brand, product, category, and competitor conversations across social platforms, including sentiment drivers, questions, risks, and growth opportunities.