Summarize buyer showing feedback into a weekly seller update

Showing feedback arrives as scattered texts and emails, and sellers want to know what buyers actually think each week.

In short: Summarize buyer showing feedback into a weekly seller update is a beginner real estate recipe that uses ChatGPT, Claude. Estimated cost: Free tier works; ~$0.005 per update on API pricing. Status: tested on 2026-10-14.

Here is raw showing feedback for one listing this week (one entry per showing; may be messy):
{FEEDBACK}
Listing price: {PRICE}. Days on market: {DOM}. Showings this week: {N}.

Write a seller update with:
- Top 3 themes (positive and negative), each with how many showings mentioned it
- Any price comments, quoted exactly
- 2–3 suggested actions (e.g. staging, repairs, price review), clearly labeled as suggestions
- A 3-sentence friendly opening
Rules: don't name buyers or buyer agents, don't make up feedback, and say 'not enough feedback' if fewer than 3 showings left any.

Setup steps

1. Collect the week's feedback into one note (copy/paste is fine).
2. Remove buyer and agent names.
3. Run the prompt and check theme counts against the raw notes.
4. Send to your seller from your own email.

#real-estate#listings#seller-updates

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Costs are rough estimates based on published model/API pricing and will vary. Fill in placeholders like {THIS} yourself.