Only 20 percent of real estate agents use AI every day. That’s about the same as the average non-real estate office worker. The difference? Daily AI use among those office workers jumped by 233 percent in just six months.
Will real estate see that same leap? Maybe.
It’s not that your agents don’t see the value. It’s that most of what’s been introduced to the real estate industry wasn’t built for it. Companies are layering pieces of AI onto their existing systems to help agents write an email or social post — but that’s no different than deciding what to ask ChatGPT.
Meaning, once again, the agent is expected to do more work just to make the technology work for them. If that’s the case, why would they use it? AI in real estate should give agents time back, not take more of it. It should surface meaningful actions the agent didn’t even know to ask, create outcomes, and then give the agent the power to approve, edit, or decline every move.
Here are the five things agents need from their AI.
1. It must prompt the agent
Too many AI tools expect your agents to stop, think, know exactly what they want — and then write the perfect prompt to achieve it. All in the middle of a day full of showings, text threads, and offer negotiations.
That’s not how real estate works. The right AI tool must flag the opportunity before your agents even know it’s there. For example, “Call this client today. Here’s why. This one’s time-sensitive.” That’s how real estate intelligence should work.
2. It must explain the why
If your agents can’t see why a recommendation was made, they’ll ignore it. Why? Real estate runs on trust, with clients and technology.
The right tool must always make the reasoning clear. For example, the client viewed the listing three times, their mortgage is up for renewal in 60 days, or they just checked what their home is worth.
3. It must work where agents do
We all know real estate happens fast — in email chains, text threads, or five minutes between appointments. If your agents have to go looking for the tool, like opening another tab or remembering a login, it’s already game over.
The right AI shows up inside the tools they already use — not the ones they’re “supposed” to.
4. It must learn and adapt
If a tool (AI or not) doesn’t adapt to how a real estate agent works, they will stop using it.
The right platform learns what worked, and what didn’t, and quietly adjusts. It must get sharper with every interaction, so your agents don’t have to start from scratch every time. Otherwise, they will quietly drift back to what’s familiar, and AI will be pushed aside.
5. It must be built for real estate
Real estate is different from other industries. It’s emotional, personal, and you don’t get a second chance if a message feels off. You need a solution that understands how real buyers and sellers behave. Only then can it guide your agents responsibly.
Marketing technology that simply adds in piece of AI won’t help agents better nurture clients or close more deals. That’s exactly why MoxiWorks launched RISE.
RISE is the first native-AI marketing platform built for real estate brokers, teams, and agents. It interprets your database’s contacts and engagement data to uncover opportunities, surface priority actions, identify next steps, and automate outreach — guiding an agent’s day with actions they didn’t even know to ask for.
MoxiWorks is the real estate AI marketing platform built for agents, teams, and brokers. We power presentations, email, CRM, advertising, and marketing – all in one connected system powered by native-AI. MoxiWorks helps real estate professionals find, win, and close more deals. Learn more at moxiworks.com
Kim Koraca is the Chief Marketing Officer at MoxiWorks, the real estate AI marketing platform. She brings more than 20 years of marketing experience and a strong record of helping real estate brands grow. Kim has led several real estate tech marketing teams and has advised many tech companies through her own consulting firm.
