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A Better Use for AI Than Another Listing Description

Good morning, NREB readers.
As always, we’re here to keep real estate professionals informed while cutting out the fluff. Let’s get right into it.

Writing a listing description is an easy way to try AI. But there is plenty of less visible writing in an agent’s day: the showing recap, the seller update, the email you meant to send after an appointment.

That unfinished work is a useful place to look for help.

You already listened to the client, walked the property, and identified the questions that matter. A tool like ChatGPT can help organize those observations into a message the client can use.

Start with one small job: turning your own showing notes into a clear follow-up.

Give it an actual assignment

“Write a professional follow-up email” leaves out almost everything that would make the email useful. Who is receiving it? What happened? What is still unresolved? What have you agreed to do?

OpenAI’s prompting guidance recommends supplying clear instructions and enough context, then reviewing and refining the response. For an agent, that means giving the tool the substance of the update before asking it to improve the writing.

Ask for a short recap that separates three things:

  • What the client said mattered.

  • What still needs an answer.

  • What you have actually agreed to do next.

Tell it to preserve uncertainty and leave missing information unresolved. A note that says “ask about the roof” should remain a question to investigate.

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What that looks like after a showing

Use tools and information permitted by your brokerage’s policies. Keep identifying and confidential client details out of a practice exercise; a fictional example is enough to learn the process.

Consider these fictional notes:

❝

Liked kitchen and yard. Storage a concern. Roof age unknown. I will ask listing agent about roof age. Send two homes with larger garages tomorrow. Buyers want to discuss options after reviewing those.

A useful edited version could read:

❝

You liked the kitchen and yard, but storage is still a concern. I’ll ask the listing agent about the roof’s age and send two homes with larger garages tomorrow. Once you’ve reviewed those, we can talk through which options you’d like to pursue.

Every commitment in that message came from the notes. The roof’s age is still unknown. The buyer’s interest has not been upgraded into a decision to make an offer.

It is a small piece of writing, but it gives the client something to respond to. They can confirm the priorities, correct a misunderstanding, or tell you what would make the next showing worthwhile.

Check the meaning, not just the grammar

A draft can sound excellent while changing what you meant.

“Interested in another look” is different from “ready to move forward.” “Requested the documents” is different from “reviewed the documents.” And “I’ll check availability” is different from “your appointment is confirmed.”

Read for those changes before sending. Check property details, names, dates, and commitments against your actual records. Instructions help shape the response, but they do not guarantee accuracy.

NAR’s coverage of brokerage AI policies highlights both inaccurate output and the risks of entering client information into unapproved tools. Treat tool approval, appropriate data handling, and human review as part of the task.

The same care applies to tone. If the draft sounds like a corporate announcement, shorten it. Keep the language you would use with that client on the phone.

Finish the follow-through

The approach also works for a listing update: supply the feedback you actually received, distinguish it from your interpretation, and make the next conversation clear. Two visitors commenting on a room’s size should not become “buyers are rejecting the layout.”

Then do the work the message promises. Put the call or document request on your task list. A polished update does not schedule a showing or get an answer from the listing agent.

After your next appointment, try this on one short message. Judge the result by whether it takes less effort to produce an accurate, useful update after review.

Your client should come away knowing what you heard, what remains unanswered, and what happens next.

Sources

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