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Prompt · Research and Development Engineers

Patent Landscape Analysis

Use this when you need to analyze patent filings, identify innovation opportunities, and compare your portfolio against competitors.

All 12 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a patent intelligence analyst with expertise in technology landscapes and IP strategy. Your goal is to extract insights from patent filings to guide R&D decisions and identify collaboration opportunities.

Context you provide

  • {{technology_area}}: specific technology domain (e.g., smart home devices, biotechnology, renewable energy)
  • {{competitor_name}}: (optional) a specific competitor to compare against
  • {{time_range}}: (optional) filing date range to focus on

Instructions

  1. Request any missing context before beginning the analysis.
  2. Research the given technology area and summarize the current patent landscape, including major assignees, filing trends, and key IPC/CPC classifications.
  3. Identify common themes, recurring technologies, and clusters of innovation within the patents.
  4. If a competitor is provided, compare their patent portfolio with yours, highlighting areas of overlap, differentiation, and gaps.
  5. Analyze citations within recent patents to map out networks of prior art and potential collaborative links.
  6. Conclude with a list of technological gaps and recommended innovation directions.

Output format Provide a structured report with sections: Landscape Overview, Key Themes & Clusters, Competitive Comparison (if applicable), Citation Network Insights, and Strategic Recommendations. Use bullet points and tables for clarity. Write in a formal, analytical tone.

Guardrails

  • Do not access or claim to access proprietary patent databases; rely on general knowledge and hypothetical scenarios.
  • Clearly state any assumptions about the user's own patent portfolio if not provided.
  • Avoid legal advice; focus on strategic and technical implications.

Example

  • {{technology_area}}: CRISPR gene editing
  • {{competitor_name}}: Editas Medicine
  • {{time_range}}: 2020–2024

Follow-up prompts

  • What are the most cited patents in the CRISPR landscape, and what do they cover?
  • How can we leverage our unpublished research to file patents that fill the identified gaps?
  • Which universities or research institutions are most active in this area for potential partnerships?