Traditional competitive intelligence relies on analysts manually scanning dozens of sources every day. This process is time-consuming, incomplete, and prone to human bias.
The problem with manual approaches
Marketing and strategy teams spend an average of 8 hours per week collecting competitive information. Despite this investment, they systematically miss critical signals published outside their working hours or on sources they don't monitor.
Luna's autonomous approach
Luna operates like an analyst that never sleeps. Every 6 hours, our engine automatically scans over 50 public sources for each monitored competitor:
- News: Google News, TechCrunch, industry press
- Community: Reddit, Hacker News, Dev.to
- Product: Product Hunt, GitHub, npm, official blogs
- Regulatory: SEC EDGAR, patents, EUR-Lex
- Reputation: G2, Trustpilot, Capterra
AI cross-referencing
What sets Luna apart from a simple aggregator is cross-referencing analysis. Our multi-LLM engine (Claude, Gemini) doesn't just list mentions — it identifies correlations between sources, detects patterns, and generates narrative alerts explaining the "why" behind each competitive move.
Measurable impact
Our users report a 90% reduction in time spent on manual monitoring, while capturing 3x more relevant signals. The system's autonomy means you're alerted even on weekends or during vacations.
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