Top use cases for Deep Research
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Market & Competitive Analysis
Compare multiple competitors across features, pricing, positioning, and market trends. Get a report that would take hours to compile manually.
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Academic Literature Review
Survey dozens of papers, identify key findings, track research evolution, and compile a cited review of the current state of knowledge.
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Due Diligence
Investigate companies, products, or technologies before making investment or partnership decisions. Financial, competitive, and risk analysis in one report.
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Technical Deep Dives
Compare implementations, benchmark performance, and synthesize technical documentation across multiple sources for informed architecture decisions.
Prompting for better results
The single most important factor in Deep Research quality is prompt specificity. Compare these two prompts: "Research AI tools" (bad) vs "Analyze the competitive landscape of AI code editors in 2026, covering Cursor, GitHub Copilot, Windsurf, and Claude Code. Compare features, pricing, market positioning, user sentiment, and recent product updates" (good). The specific prompt tells the agent exactly what to investigate, which competitors to cover, and what data points to collect.
Upload your existing research
If you have existing data, reports, or notes on the topic, upload them as files. Deep Research will read your materials and use them as a starting point, avoiding redundant research and building on what you already know. This is especially valuable for iterative research where you are deepening your understanding over multiple sessions.