Each Client's Real Intent: Why Clicking Isn't Wanting

Summary

Each client’s real intent is rarely in their clicks: your client keeps opening homes with pools, but that doesn’t mean they want one. In this video, based on chapter 3 of The AI Real Estate Disruption, Tino Aguirre explains why clicking isn’t wanting.

The data shows what clients do, not why they do it, and turning those clicks into a sure preference can send the whole search in the wrong direction. Good assistance shows what it understood and the trade-offs of each option. The ability to ask good questions will be the big difference between services that look the same.

Key points: each client’s real intent

• Clicks show what clients do, not why they do it.
• Turning clicks into sure preferences can send the whole search in the wrong direction.
• Often clients don’t change their mind: they start explaining better what they need.
• Good assistance shows what it understood and the trade-offs: more space or a better location.
• Asking good questions will set apart services that look the same.

Frequently asked questions

How do you understand a buyer's real intent?

By asking and verifying, not just reading their clicks. The data shows what they do, not why they do it.

What's the risk of inferring preferences with AI?

Turning clicks into a sure preference saves questions, but can send the whole search in the wrong direction.

What does good real estate assistance look like?

It shows what it understood and the trade-offs of each option, such as more space with a longer commute or a better location with fewer square feet.

Transcript

Your client keeps opening homes with pools. Do they want a pool? Maybe. Or maybe they’re comparing costs, or showing them to someone else.

I’m Tino Aguirre, AI CTO at TREM Group and IDXBoost. I build AI for real estate and use it every day with my team.

The data shows what they do, not why they do it. Turning those clicks into a sure preference saves questions, and can send the whole search in the wrong direction.

A buyer asks for two bedrooms. After a showing, she realizes she’d rather have less space if she can host her father. She didn’t change her mind: she started explaining better what she needed.

Good assistance doesn’t say: I know what you want. It shows what it understood, and the trade-offs: more space with a longer commute, or a better location with fewer square feet.

I believe the ability to ask good questions will be the big difference between services that look the same.

If you were working with this buyer, what would you let the system infer, and what would you rather ask her directly?

At IDXBoost we build AI tools so your team understands each client’s real intent, not just their clicks.

And if you’re a realtor, run a real estate team or own a brokerage, TREM Group is the all-in-one real estate marketing, technology and growth platform for your business.

And my full book is free at tinoaguirre.com/book.