Competitor Analysis uses a CrewAI multi-agent system to continuously monitor and analyze your competitors. Agents specialize in different aspects — product features, pricing changes, marketing messaging, tech stack analysis, and customer sentiment. Delivers structured competitive intelligence reports.
Competitive intelligence shouldn’t require a dedicated analyst. Competitor Analysis automates the grunt work of tracking what your competitors are doing — feature launches, pricing changes, messaging shifts, hiring patterns, and customer reviews.
Using a CrewAI multi-agent architecture, specialized agents focus on different intelligence domains. A Product Agent tracks feature announcements and changelog updates. A Pricing Agent monitors pricing pages for changes. A Sentiment Agent analyzes customer reviews across G2, Capterra, and social media. A Strategy Agent synthesizes everything into actionable competitive briefs.
from competitor_analysis import CompetitiveIntel
intel = CompetitiveIntel()
intel.add_competitor("Acme Corp", "https://acme.com")
intel.add_competitor("Beta Inc", "https://beta.io")
report = intel.analyze()
print(report.executive_summary)
Weekly Competitive Brief — March 28, 2026
🔴 ALERT: Acme Corp dropped Enterprise pricing by 30%
🟡 Beta Inc launched AI-powered dashboard feature
💭 Gamma Ltd hiring 5 ML engineers (potential new AI product)
Feature Comparison (updated):
| Feature | Us | Acme | Beta |
|-------------|-------|-------|-------|
| AI Analysis | ✅ | ✅ | 🆕 |
| Real-time | ✅ | ❌ | ✅ |
| API Access | ✅ | ✅ | ❌ |
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