Last month, an agent in Arizona told me about a $1.2M listing she almost lost.
The sellers had interviewed three other agents, all with great credentials.
Her secret weapon? She walked into the meeting describing the sellers’ concerns so accurately they joked, “Have you been reading our minds?”
She hadn’t — but her AI had.
The Prompt
Here’s the exact prompt she used in ChatGPT (you can paste this into any AI model):
**“You are a real estate consultant. Create a detailed persona of a homeowner looking to sell in [INSERT CITY], based on current market conditions. Include:
Main goals for the sale
Emotional drivers and fears
Preferred communication style
Likely objections and how to handle them
Sample Output
(Example for Denver, CO — Feb 2025)
Goals: Sell within 60 days at above market average to move closer to family.
Emotions/Fears: Concern about missing the spring market window, fear of lowball offers.
Communication: Prefers quick text updates and weekly market recap emails.
Likely Objections:
“We don’t want to reduce price — we can wait.” → Counter with updated comp analysis and buyer demand trend.
“Why should we pay full commission?” → Explain your marketing reach, negotiation track record, and market timing strategy.
Pro Tips
Localize it: Always replace
[INSERT CITY]with your hyper-local area.Layer in live data: Paste in current median prices, DOM, and absorption rates from your MLS.
Personalize: Add in any notes you know about the seller demographic (e.g., downsizers, relocating professionals).
Why This Works
Most agents guess at seller motivations.
This prompt lets AI synthesize market data + psychology so you can walk in already speaking their language.
It’s the fastest path to building trust.
If you know a team member, broker, or agent who wants to work smarter with AI, forward this or send them here: agentinsider.beehiiv.com |