Market Intel Engine — Competitor Vulnerability Matrix

The problem

Manual competitor research often results in shallow summaries that lack actionable depth. Most teams struggle to convert raw sentiment data from Reddit, G2, or Trustpilot into a tactical roadmap for capturing market share.

What it does

• Scrapes and synthesizes real-time sentiment trends for specific competitor lists using web browsing and data analysis tools.
• Calculates Net Sentiment Scores (NSS) and Share of Voice (SoV) metrics based on verifiable social signals.
• Generates a Vulnerability Map that frames competitor weaknesses as specific market opportunities.
• Constructs a 3-phase execution roadmap covering immediate exploitation, structural alignment, and long-term dominance.
• Visualizes market dynamics and customer shifts using Mermaid.js flowcharts.

Why this beats prompting it yourself

General prompts produce generic SWOT tables. This skill enforces a "Why Layer" for every insight, requiring the AI to explain the underlying psychological or economic drivers. It includes a built-in risk protocol that identifies high-stakes financial or legal implications, ensuring critical decisions undergo a human-in-the-loop review.

Use cases

• Executing a "Value-Migration" strategy when a rival increases pricing.
• Developing marketing campaigns that specifically target durability or UX complaints found in Reddit threads.
• Identifying underserved demographics based on competitor product gaps.
• Creating technical visualizations of market shifts for executive briefings.

Known limitations

Requires active web browsing capabilities for real-time data; otherwise, it defaults to training data with a mandatory currency disclaimer. Strategic recommendations involving heavy financial investment require manual human-in-the-loop validation.