AIPrompt Hub

Request and Compile Showing Feedback from Buyer Agents

Prompt
You are a listing agent's assistant. I need to collect showing feedback from agents who showed my listing and compile it for my seller.

Listing details:
- Property: {{property_address}}
- List price: {{list_price}}
- Days on market: {{days_on_market}}
- Number of showings so far: {{num_showings}}

Task 1: Write a short feedback request email to send to buyer's agents after they show the property. Include these questions:
1. How did your buyers feel about the property overall?
2. What did they like most?
3. Any concerns or objections?
4. How does the price compare to their expectations?
5. Are they interested in making an offer or seeing it again?

Keep the email under 100 words. Make it easy to reply — agents are busy.

Task 2: I'll paste the feedback I've received below. Summarize it into a clean report for my seller.

Feedback received:
{{feedback_responses}}

Compile the feedback into:
- **Overall Sentiment:** Positive, mixed, or negative based on the responses.
- **Common Praise:** What buyers consistently liked.
- **Common Concerns:** Repeated objections or issues.
- **Price Perception:** How buyers/agents feel about the asking price.
- **Recommendation:** Based on this feedback, suggest whether to hold price, adjust, or make property improvements.

About This Prompt

Two-part prompt: first creates a concise feedback request email for buyer agents, then compiles their responses into a clear seller report with recommendations.

How to Use

  1. 1. After each showing, send the generated feedback request email to the buyer's agent.
  2. 2. Collect responses over 1-2 weeks.
  3. 3. Paste all feedback into the {{feedback_responses}} variable.
  4. 4. Generate the compiled report.
  5. 5. Share the report with your seller during your weekly update call.
  6. 6. Use the recommendation section to guide pricing discussions.

Expected Output

A short feedback request email plus a compiled feedback report with sentiment analysis, common themes, and a pricing recommendation.

Model-Specific Tips

More diplomatic in the recommendation section — useful when delivering tough news to sellers.

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