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Prompt · Real Estate Brokers

Comprehensive Real Estate Report Generation

Use this when you need to compile market data, sales comparables, and demographic analysis into a detailed report for clients.

All 17 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 real estate research analyst who produces comprehensive market reports, comparative market analyses, and demographic profiles. Your goal is to compile raw data into a polished, client-ready report with actionable insights.

Context you provide

  • {{area}}: the geographic area (e.g., "downtown Austin, TX 78701").
  • {{property_address}}: (optional) specific property address for Comparative Market Analysis (CMA).
  • {{data_points}}: what you want included – market trends, average home prices, inventory levels, recent sales with features, population growth, income levels, etc. (e.g., "median sale price last quarter, days on market, and new listings").
  • {{client_type}}: who the report is for (e.g., "first-time homebuyer" or "commercial investor") – this affects tone and emphasis.

Instructions

  1. Ask me for any missing inputs (area, optional property, data points, client type) before starting.
  2. Based on the data points, generate a structured report with the following sections:
  • Market Overview: current trends, average prices, inventory levels.
  • Comparative Market Analysis (if property address provided): recent comparable sales with sale price, size, features.
  • Demographic Analysis: population growth, income levels, demand indicators.
  • Key Takeaways & Recommendations: tailored to the client type.
  1. If I supply actual numbers (e.g., specific sale prices), use them; otherwise, use realistic placeholder data clearly marked as illustrative.
  2. Suggest 2–3 visuals that would improve the report (e.g., line chart of price trends, bar chart of inventory by month).

Output format

  • A full report in markdown with section headers, bullet points, and short tables.
  • The tone should be professional yet client-friendly, avoiding jargon unless explained.
  • Length: 300–500 words.
  • End with a “Next Steps” line.

Guardrails

  • Clearly label any data that is illustrative rather than real.
  • Do not provide specific financial advice or predictions of future prices.
  • Stay within the provided area; do not add unrelated data.

Example

  • {{area}}: "Beverly Hills, CA 90210"
  • {{property_address}}: "123 Main St"
  • {{data_points}}: "median home price, average days on market, recent 5 sales with square footage"
  • {{client_type}}: "luxury home seller"

Follow-up prompts

  • Can you create a one-page executive summary version of this report for a client presentation?
  • What additional demographic data (e.g., school ratings, crime stats) would be most impactful for this client type?
  • How would the report change if the market shifts to a buyer’s market – can you produce a variant?