01
The five real estate AI workflows that actually work
Real estate is mostly writing, follow-up, and showing up. AI takes the writing and follow-up; you keep the showing up. Pick one workflow to start — almost always listing descriptions — before adding the rest.
- Listing copy — feed MLS sheet + 5 photos + your voice notes, get MLS, brochure, and Instagram versions.
- Lead nurture sequences — first-touch, 3-day, 7-day, 30-day emails drafted in your voice.
- Open house follow-up — same-day personalized email to every signed-in visitor.
- Quarterly market reports — Flathead, Gallatin, Yellowstone, Missoula numbers turned into a 1-page client narrative.
- Showing notes — voice memo after each showing becomes a structured note in the CRM.
02
Tools that fit a Montana brokerage
Most agents already pay for too much software. AI replaces some of it, not adds to it.
- ChatGPT Team — best generalist; $30/seat/month; works from any device.
- Microsoft 365 Copilot — if your brokerage runs on Outlook and Excel, this is the easier fit.
- Lofty (formerly Chime) and Follow Up Boss — both shipped strong AI features for 2026; check what your tier includes before buying anything new.
- Listing.AI, ListAssist, or Restb.ai — purpose-built listing copy tools; nice but usually unnecessary if you have ChatGPT Team set up well.
03
Where it pays off most in the Montana market
High-end Flathead and Big Sky listings benefit most from voice — generic luxury copy reads like every other listing on Zillow, while AI prompted with your specific take on the property reads like a writer. Bozeman new-construction agents save the most time on repetitive listing variants. Eastern Montana ranch agents benefit most from CMA narrative and out-of-state buyer follow-up at scale.
04
What not to do
Three things kill AI rollouts in real estate. First, generic copy — if your listings start sounding like everyone else's, AI made you worse, not better. Second, automated outbound that pretends to be human — disclose, or use it only for first-drafts you send yourself. Third, putting client financial info into consumer ChatGPT — use enterprise tiers for anything sensitive.
05
30-day rollout for a small MT brokerage
Week 1: pick listing descriptions as the first workflow; collect 5 past listings the team is proud of as voice samples. Week 2: 2-hour training session, every agent writes one listing live. Week 3: full team uses on real listings. Week 4: add lead follow-up sequences and measure response rates.