AI for Real Estate Agents And Brokerages.
Real estate is a follow-up business. Most agents lose deals to the agent who replied an hour earlier, not the one with a better pitch. AI is mostly useful for closing that gap.
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Listing copy in your voice, not the MLS template
Feeds the listing details and your past listings to the model, drafts the description in your voice for the website, MLS, and social. You edit. Beats the generic 'rare opportunity in a sought-after neighborhood' copy.
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Inbound lead qualifier that responds in minutes
Web form or SMS lead comes in. Agent answers the basics — neighborhood, budget, timeline — qualifies the lead, books a showing or call into the calendar. You take it from there once it's a real conversation.
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Comp summary and pricing prep
Pulls comparable sales from your data feed and drafts a one-page summary for the listing presentation — recent solds, days on market, price per square foot, notes on what makes this one different.
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Drip follow-up for the long-tail leads
Most leads aren't buying this month. AI drafts personalized check-ins every few weeks based on where they are in the journey — saved searches, neighborhoods they liked, life events. Agent reviews and sends.
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Open house follow-up that names the property
Visitors sign in, leave. AI drafts personalized follow-ups referencing the specific home they saw and what they said they liked. Sent within an hour, not three days later.
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Past-client check-in that doesn't feel automated
Quarterly nudge to past clients with something useful — neighborhood market update, a comp on their street, a renovation idea. Drafts in your voice. Most referrals come from staying top of mind.
Things people ask before getting started.
Does this work with my CRM — Follow Up Boss, KVCore, Lofty?
Most of the time. The major real estate CRMs expose enough through their API or webhooks for the AI to read leads, listings, and saved searches, and to write back notes or scheduled follow-ups. The drip use case and the inbound lead qualifier work best when the CRM is the source of truth. If you're tracking leads in a spreadsheet or in the messages app on your phone, we have to fix that part first.
Will the AI represent my brokerage on calls?
No, and that's deliberate. RECO and brokerage compliance rules around who can give real estate advice are clear enough that I don't build agents that take inbound calls and pretend to be the agent. The lead qualifier handles web forms and SMS — explicitly identified as a scheduling assistant — and books the actual conversation into your calendar. You take it from there. The compliance risk of doing this any other way isn't worth the time savings.
How fast does the inbound qualifier respond?
Under a minute, typically. That's the whole point. The data on lead conversion is consistent across every study I've seen — the agent who responds within five minutes wins most of the deals against the agent who responds in an hour, regardless of who's better. AI doesn't have to be smarter than you. It just has to not be asleep at 9pm on a Tuesday when the lead came in.
What's the realistic cost for a solo agent vs a brokerage?
For a solo agent, the listing copy and open-house follow-up tools usually fit in the $2k-$5k range. The inbound qualifier and drip system together run higher because they integrate with your CRM and calendar — plan $6k to $12k. For a brokerage with multiple agents, the math changes because each tool gets reused across the team. I won't quote without a call, because the right starting build depends on whether your bottleneck is leads, listings, or follow-up.
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