AI can be an incredibly useful tool for Realtors, but the quality of what it gives you often depends on the quality of what you give it.

In my conversation with AI educator Jonathan Mast on Real Estate Riches, we talked about a simple idea that can completely change how real estate professionals use AI: stop searching for the perfect prompt and learn how to have a better conversation with AI.

Jonathan teaches a four-step framework that gives AI the role, context, task, and opportunity to ask questions before producing an answer.

For Realtors, that can make AI more useful for listing marketing, client communication, research, analyzing information, CRM support, and everyday tasks that consume valuable time.

The goal is not to replace your expertise. It is to use AI to amplify the skills and experience you already have.

Why Do Better AI Prompts Matter for Realtors?

Imagine a buyer tells you, "Find me a house."

That's it.

You would immediately have questions. Where do they want to live? What's their price range? How many bedrooms and bathrooms? What style do they prefer? Are schools important?

Without that information, even a great Realtor would struggle to deliver what the buyer actually wants.

Jonathan used this analogy to explain one of the biggest mistakes people make with AI. We give it a vague instruction, provide very little context, and then expect it to somehow understand exactly what we have in mind.

When the result isn't what we wanted, we blame the technology.

But sometimes the problem is simply that AI didn't have enough information.

What Is the 4-Step Framework for Better AI Prompts?

Instead of collecting hundreds of prompts for every possible situation, Jonathan teaches what he calls the Perfect Prompt Framework.

It comes down to four steps:

• Tell AI what type of expert you need.

• Give it relevant context.

• Clearly tell it what you want.

• Ask it what additional questions it has.

This creates something much more useful than a one-time command.

It creates a conversation.

And that is important because you may not always know what information AI needs to produce a useful response.

Step 1: Tell AI What Type of Expert You Need

Start by establishing the role you want AI to take for the task.

For example, if you're preparing marketing for a new listing, you could tell AI that it is an expert at writing social media content for real estate listings.

This gives the AI a clearer perspective from which to approach your request.

The role will change depending on what you're trying to accomplish.

You might need help thinking through marketing, organizing information, researching a topic, or communicating something clearly to a client.

Start by defining the expertise you want AI to bring to that particular task.

Step 2: Give AI the Right Context

Next, provide the details that matter.

In Jonathan's real estate example, that could mean describing the property, where it's located, its condition, price positioning, features, and what you're trying to accomplish with the marketing.

Think of this the same way you would brief an assistant.

If you leave out important information, the assistant has to guess.

AI does too.

The more relevant context you provide, the better chance you have of receiving an answer that actually fits your situation.

Step 3: Clearly Explain What You Want AI to Do

Now give AI the actual task.

If you're marketing a property, perhaps you want a social media post.

If you're working with a client, perhaps you need help drafting an email.

If you're researching a neighborhood, perhaps you want the information organized into specific categories.

Be clear about the outcome you want.

Many people start here and skip the first two steps. But when AI already understands its role and has the appropriate context, your request becomes much easier for it to interpret.

Step 4: Ask AI What Questions It Has

This may be the simplest part of the framework, but it can make a major difference.

After giving AI your instructions, add:

"Ask me any questions you have."

Jonathan explained that even after writing thousands of prompts, there are times when he doesn't know every piece of information AI may need.

Instead of trying to anticipate everything yourself, let AI identify what's missing.

It may ask about your audience, objective, property, market, tone, or another detail you didn't think to include.

Answer the questions and keep the conversation going.

Should Realtors Accept the First Answer AI Gives Them?

Not necessarily.

AI is much more useful when you treat the interaction as a conversation rather than a one-time transaction.

Jonathan compared it to working with another professional. If an inspector or colleague gave you information that raised another question, you probably wouldn't simply accept the first answer and walk away.

You would ask another question.

The same principle applies here.

If AI gives you something that's close but misses an important detail, tell it.

If you know something is incorrect, challenge it.

If the answer makes you think of another question, ask it.

And when you're dealing with information that could affect a client or transaction, validate the information rather than assuming the AI is correct.

How Can Realtors Use AI Beyond Writing Content?

AI for real estate can go much further than writing listing descriptions or social media posts.

During our conversation, we discussed the potential for AI-supported systems to help with tasks surrounding client service, scheduling, CRM management, research, and organization.

The value is not necessarily having AI do everything for you.

It's reducing some of the repetitive work that takes time away from the parts of real estate that require you.

Your relationships.

Your judgment.

Your negotiating ability.

Your understanding of the market.

Your experience.

AI can support those skills without replacing the professional behind them.

How I Used AI to Prepare for a Listing Outside My Usual Market

I shared a real example from my own business.

I was preparing for a listing in an area outside my normal territory and wanted to understand the community at a much deeper level.

I used AI-assisted research to explore questions about the neighborhood, pricing, what made the community desirable, and other information that could help me prepare.

I also provided property information and continued working with the AI when I saw that it wasn't considering something I believed was important.

That part matters.

I didn't simply accept the first response.

I questioned it, refined the instructions, provided additional information, and validated what I received before using it with my client.

That process helped me organize and analyze information more efficiently while still relying on my own real estate experience and judgment.

Can AI Help Realtors Save Time?

This may be one of the biggest opportunities.

Jonathan pointed out that when technology allows you to accomplish more in less time, you gain choices.

You may be able to handle more business.

You may get some of your time back.

Or you may find a balance between the two.

The point isn't to use AI simply because everyone is talking about it.

The point is to identify places where it can remove friction from your existing business.

A repetitive email might take less time to draft.

Research may become easier to organize.

Meeting information may be easier to capture.

A large amount of data may become easier to review for patterns.

Those small efficiencies can add up.

Can AI Help Realtors Analyze Information for Buyers and Sellers?

Jonathan gave another practical example involving buyers who have made repeated offers without winning.

After many attempts, there may be a lot of information to evaluate.

Instead of manually trying to compare everything, an agent could use AI to help organize information they provide and identify potential patterns.

What trends are appearing?

What happened with successful offers?

What factors seem to matter at that price point or in that community?

Could there be another approach that creates value for the seller without simply increasing the buyer's out-of-pocket cost?

AI can help analyze the information, but the Realtor still has to evaluate the output and apply professional judgment.

That's the recurring theme.

AI supports the agent. The agent remains responsible for the expertise.

What's the Best Way for Realtors to Start Using AI?

You don't have to transform your entire business overnight.

Jonathan's advice was much simpler:

Find one thing each day that AI could help you with.

Maybe today it's an email.

Tomorrow it's a listing post.

The next day it's research.

After that, perhaps it's organizing information or brainstorming a better way to approach a repetitive task.

Do that consistently and you begin developing what Jonathan described as an AI-first mentality.

Instead of automatically thinking, "I have to do all of this myself," you begin asking another question:

"Could AI help me do this better or more efficiently?"

AI Is Most Powerful When It Amplifies Your Expertise

Realtors don't need another tool that creates more work.

We need tools that help us use our existing knowledge more effectively.

That's why Jonathan's framework is so practical.

Give AI the role.

Give it context.

Tell it what you need.

Ask it what questions it has.

Then continue the conversation, review the results, and apply your own expertise.

The advantage isn't having the longest prompt or collecting hundreds of templates.

It's learning how to communicate with AI well enough that it becomes genuinely useful in your business.

And you can start with one task today.

Want to Learn More About Using AI in Real Estate?

Visit my YouTube channel @KathyByrnesGlobal to watch the full conversation and subscribe for more conversations about AI, real estate, business systems, and strategies for experienced agents.

If you want to be invited to the Webinar to see if this might be something you are interested in, reach out to me - Kathy Byrnes and I will get you in.

About the Author

Kathy Byrnes is a Global Real Estate Advisor, luxury waterfront specialist, and global connector based in Lake Norman, NC, with 20 years in the business. She matches high-net-worth individuals, family offices, and global investors with the most qualified real estate professionals worldwide. She also teaches Realtors how to use AI practically and helps experienced agents build businesses with leverage, visibility, and a real endgame.