The AI Playbook for Winning Buyer Loyalty in a Post-NAR Settlement World
Release Date: 09/23/2025
Social Selling Made Simple
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...
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info_outlineFor 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.
When I schedule the buyer consultation, I want to overwhelm them with data and tell them things no other agent has. I want them to see me as the value-add. That will make them sign the buyer representation agreement. -Marki Lemons Ryhal
Things You’ll Learn In This Episode
- The true value of buyer representation
Agents who secure signed agreements with offers of compensation often walk away earning more than the listing side. What’s the mindset shift that makes buyers eager to sign and pay?
- AI as your buyer’s assistant
ChatGPT and predictive tools can turn raw housing data into clear, client-ready strategies. How can you use this to prove your value and speed up the agreement process?
- Niche strategies that actually work
The riches are in the niches, whether it’s single men with pets or buyers leveraging down payment grants. Which overlooked markets can you tap into that others are ignoring?
- Choose the right market, avoid the wrong battles
Many agents chase saturated neighborhoods or get stuck in areas with slow sales and tough barriers to entry. How do you identify the markets where you can actually dominate instead of struggle?
About Your Host
Marki Lemons Ryhal is a Licensed Managing Broker, REALTOR® and avid volunteer.
She is a dynamic keynote speaker and workshop facilitator, both on-site and virtual; she's the go-to expert for artificial Intelligence, entrepreneurship, and social media in real estate. Marki Lemons Ryhal is dedicated to all things real estate, and with 25+ years of marketing experience, Marki has taught over 250,000 REALTORS® how to earn up to a 2682% return on their marketing dollars. Marki’s expertise has been featured in Forbes, Washington Post, http://Homes.com , and REALTOR® Magazine.
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