AI Agent for real estate: sales talk only to hot leads
Buyers browse listings in the evenings and on weekends - exactly when sales teams rest. Dozens of price and installment questions a day go unanswered. Chạm AI's agent advises, filters listings by need and books viewings instantly, whatever the hour.
Get a free consultation →
Chạm AI's real-estate agent does 6 jobs: filters listings by area - price - size - bedrooms from your inventory, advises on projects with pros, cons and amenities, books viewings synced to the sales calendar, quotes prices and estimates installments by rate and term, follows up after viewings with similar units, and transfers hot leads to sales with a needs summary. Runs 24/7 on Zalo, Facebook and web; single-channel starter ships in about 2 weeks.
What can the agent do for your agency?
Asks area, budget, size and bedrooms, then shortlists matching units with photos.
Pros, cons, location, amenities and progress per project - compared so buyers choose right.
Slots the buyer wants, synced with the sales calendar, confirmed and reminded automatically.
Current price lists plus monthly installment estimates at the buyer's chosen rate and term.
Automatic check-ins, extra information and similar-unit suggestions.
Signals like specific price questions or second viewings route to sales with a needs summary.
Why do brokers and agencies need an AI agent?
Three reasons sit inside the trade itself. One, buyers search after hours: evenings and weekends are when people browse projects - exactly when sales rest; the agent covers that entire window. Two, sales time is the most expensive resource: letting salespeople answer dozens of "how much is this unit" messages a day is waste; the agent pre-filters need, budget and seriousness so sales only receive hot leads with a summary attached. Three, each deal is large: one extra hot lead a month from the evening window settles the math. The full picture of 9 agent jobs is in what an AI agent can do; why native-language training matters is in Vietnamese AI agent training.
Implementation packages for real estate
Starter
Individual brokers, 10-20 listing inventory
- 1 channel: Facebook page or Zalo OA
- Trained on your inventory + price lists
- Need-filtering + viewing-booking scripts
- Ships in ~2 weeks
Growth
Agencies with sales teams of 5-20
- Multichannel: Zalo · Facebook · website
- Installment estimates + post-viewing care
- Hot-lead scoring, lead routing to sales
- Monthly dashboard: leads, viewings booked
Enterprise
Developers and multi-project systems
- Per-project agents, centrally coordinated
- CRM / inventory system integration
- Permissions, security, dedicated SLA
- Long-term operating partnership
Cost depends on channels, integration depth and data - see market ranges in how much an AI agent costs, or estimate your break-even with the free ROI calculator.
How do we roll out without risk?
- Prepare the data: the inventory with prices, sizes and locations, payment policies, 30-50 real inbox questions.
- Train the agency's voice: professional, numerically precise, never promising beyond the approved scope.
- Connect the channel: start with the ads-driven Facebook page or Zalo OA - wherever leads land most.
- Supervised trial: sales watch alongside for the first days, tuning the hot-lead criteria before 24/7.
- Measure monthly: after-hours leads, viewings booked, hot-lead transfer rate - optimized by numbers.
The full 5-step process for any industry is in the AI agent implementation process; the mistakes to avoid are in 7 AI agent mistakes.
Frequently asked questions
What can an AI agent do for real estate?
Six core jobs: filter listings by area, price, size and bedrooms from your inventory; advise on each project's pros, cons, location and amenities; book viewings synced with the sales calendar; quote prices and estimate monthly installments at the buyer's chosen rate and term; follow up after viewings; and transfer hot leads to a human agent - buyers asking specific prices, requesting a second viewing or asking about contracts - with a summary of their needs.
How are hot leads recognized and handed to sales?
The agent watches for signals in the conversation: specific price and payment-policy questions, requests for a second viewing, questions about contracts or legal papers. On these signals it transfers immediately to a salesperson with a needs summary - area, budget, units viewed - so the call starts on target instead of from zero.
Can small agencies or individual brokers use this?
Yes - the single-channel starter fits an individual broker with a 10-20 listing inventory: the agent covers the Facebook page or Zalo, filters needs and books viewings automatically. Real estate's break-even is unusually low because each deal is large - one extra hot lead a month from the evening window usually pays for it.