Hosted by: Marki Lemons Ryhal

For a long time, buyer representation was an afterthought. Agents leaned on MLS commission notes, dodged tough conversations about compensation, and hoped clients would just go along.

But after the NAR settlement, that safety net vanished. Now, if we can’t clearly show our value and lock in a signed buyer rep agreement, we’re at risk of losing clients, income, and even putting ourselves in a legal bind.

Here’s the twist: AI isn’t just a cool extra. When we use it right, it can be our sharpest edge in this new reality.

With ChatGPT, predictive analytics, and the right prompts, we can turn overwhelming data on housing, lending, and demographics into clear strategies that win agreements, build loyalty, and boost productivity.

The good news? We can make sure buyers sign those agreements, and more often than not, clients will be happy to compensate us when they see the value we bring.

So how do we get buyers to say yes without hesitation? What’s the secret to making compensation a non-issue? How can AI help us deliver so much value that signing an agreement feels like the obvious choice?

I sat down with the team at Showami to dig into how to start using AI-powered research, prompts, and predictive marketing to build a buyer assistant that works harder than any assistant you could hire.