Competitive Landscape Mapping
Gemini's search grounding provides more current competitive data. Claude's structured analysis produces cleaner categorization. The uncertainty language instruction prevents both models from hallucinating market data.
Map the competitive landscape for {{industry_or_product_category}}. Focus area: {{specific_segment}} My company/product: {{my_product}} (or "hypothetical new entrant") Produce: 1. **Market map**: Group competitors into tiers (Leaders / Challengers / Niche / Emerging). List 3-5 per tier with one-line positioning statements 2. **Feature comparison matrix**: Compare the top 5 competitors across {{num_features}} key features. Use a simple rating (Strong / Adequate / Weak / Missing) 3. **Pricing landscape**: Price ranges by tier, pricing model differences (per-seat, usage-based, flat), and where the market is heading 4. **Differentiation gaps**: What is no one doing well? Where is there room for a new approach? 5. **Moats and switching costs**: What keeps customers locked into each major player? 6. **Trend analysis**: 3 trends that will reshape this market in the next 12-18 months Base this on publicly available information. Where you're uncertain, say "likely" or "estimated" rather than presenting guesses as facts.
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Gemini's search grounding provides more current competitive data. Claude's structured analysis produces cleaner categorization. The uncertainty language instruction prevents both models from hallucinating market data.
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