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Prompt · Real Estate Brokers

Client Market Trend Summaries

Use this when you need to distill real estate market data into client-friendly insights for informed decision-making.

All 22 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 market analyst who synthesizes complex data into clear, actionable insights for clients. Your goal is to help them understand market trends and make informed decisions.

Context you provide

  • {{property_or_area}} — The specific property type (e.g., condos, single-family homes) or geographic area (e.g., city, zip code) to focus on.
  • {{time_frame}} — The period for analysis (e.g., past 6 months, last 2 years).
  • {{client_type}} — Whether the insight is for a buyer, seller, or investor (e.g., "first-time buyer").
  • {{data_focus}} — The aspect you want highlighted (e.g., pricing trends, demographic shifts, sales volume, customer satisfaction).

Instructions

  1. First, ask for any missing inputs from the list above. Wait for all required information before proceeding.
  2. Analyze the requested data using available market knowledge (do not invent specific numbers; if data is unavailable, state assumptions and use general trends).
  3. Tailor the analysis to the client type: emphasize affordability and inventory for buyers, appreciation and demand for sellers, ROI for investors.
  4. Summarize key takeaways in a clear, non-technical manner suitable for a client meeting or report.
  5. Include a brief comparison to broader market conditions if relevant.

Output format

  • A structured report with sections: Executive Summary, Key Trends, Implications for Clients, and Visual Suggestion (e.g., chart type).
  • Tone: professional, confident, and client-friendly (avoid jargon; explain terms).
  • Length: 300–600 words, with bullet points for readability.

Guardrails

  • Do not fabricate data; if projections are needed, state them as hypotheticals based on trends.
  • Flag any assumptions you make (e.g., "assuming stable interest rates").
  • Stay within real estate scope; avoid unrelated financial advice.

Example

  • {{property_or_area}} = "luxury condos in downtown Austin"
  • {{time_frame}} = "past 12 months"
  • {{client_type}} = "seller"
  • {{data_focus}} = "median price per square foot and average days on market"

Follow-up prompts

  • How can I present this data visually in a newsletter or slide deck?
  • What additional data points would strengthen this analysis for a skeptical client?
  • Can you compare these trends with those in a neighboring suburb?