Industry solution
Conversational AI for real estate agencies and developers
Portal leads arrive in batches, but there's no way to call everyone back in the first minutes — and a hot buyer goes to whoever answered fastest. The platform hands first-touch qualification to an AI agent, confirms viewings with reminder calls so people actually show up, and analyzes 100% of calls into metrics and topics. Sales sees which lead source and which agent really close deals, instead of working blind.
Real estate sales pains
Where real estate loses deals on calls
A flood of portal leads
Requests from listing portals and ads drop in waves. At peak, agents physically can't call everyone back while the buyer is still hot.
A slow first call
The buyer left a request with five agencies at once. Whoever calls back first gets the conversation; the rest of the leads simply go cold.
No-show viewings
Without a confirmation call the day before, people forget, mix up the time or change their mind. The agent drives to the property and the buyer never shows.
Lead sources in the dark
It's unclear which portal and which ad bring in target buyers and which bring empty requests. The lead-gen budget is spent by guesswork.
What the platform gives you
Every pain is closed by a specific pillar
Instant lead qualification
The AI agent calls back on a request within minutes, any hour of the day: it clarifies budget, area, property type and urgency, filters out non-target inquiries — and your live agent only gets a buyer who's ready to talk.
- The first call on a portal request in minutes, not hours.
- Budget, area, property type and deal timeline collected into record fields.
- A warm, qualified contact handed to the agent along with the transcript.
Viewing confirmations and reminders
The AI agent calls clients the day before a viewing: it reminds them of the address and time, confirms the appointment or reschedules it, and on inbound calls stays on the line to prompt your agent live.
- A confirmation call the day before a viewing — fewer no-shows and wasted trips.
- Reschedules and cancellations are captured right away, so the agent doesn't drive out for nothing.
- On an inbound call the AI secretary prompts the agent and takes notes.
Analytics by source and agent
100% of calls are analyzed into metrics, topics and tone. You see conversion for every lead source and every agent, and semantic search finds any conversation by meaning.
- Conversion by portal and ad channel — you know where to put the budget.
- Metrics per agent: callback speed, viewings booked, tone of the conversation.
- Dashboards and semantic search across the whole call archive.
Scenarios
How it works in real estate
- 1
AI buyer qualification right after the request
A buyer leaves a request on a listing portal or on the developer's site — and the AI agent calls back within the first minutes, while the interest is still hot. In a natural conversation it clarifies budget, preferred area, property type and class, urgency and payment method (mortgage, cash, selling their own place), and screens out competing agents and stray requests.
A ready-to-talk buyer is handed to a live agent along with the collected fields and transcript. The agent doesn't waste time on cold qualification and goes straight to matching suitable properties — and calls first, while competitors are still getting around to it.
- 2
Reminders and viewing confirmations
The day before a viewing, the AI agent calls the clients who booked a visit: it reminds them of the address, date and time, confirms that the person is coming, or reschedules the appointment to a convenient slot right away. Forgotten and lapsed viewings turn into confirmed appointments.
Every call outcome is captured in analytics: how many viewings were confirmed, how many rescheduled, how many fell through. The agent plans the day around confirmed appointments and doesn't waste time driving out to people who already changed their mind.
- 3
Conversion analytics by source and agent
Every call is analyzed automatically: lead source, topic, tone, share of monologue, script adherence, reasons for loss. Managers see the full picture, not a sample: which portal brings target buyers and which brings empty requests, and which agents move a lead through to a viewing and a deal.
The set you need is easy to assemble with semantic search — for example, every call where the buyer walked away over an inflated price or a mortgage that wasn't ready. The copilot helps build that query in plain words and count conversion across any slice.
Result
No portal lead goes cold without a call, viewings turn into actual appointments, and managers see which source and which agent really bring deals.
- A fast first call on every request, not just the ones someone got to.
- Budget, area and urgency collected up front — the agent enters the conversation prepared.
- Fewer no-show viewings and wasted trips thanks to confirmation calls.
- Clear conversion by lead source and by agent — the ad budget is spent deliberately.
Key facts
- Where to start
- Upload your call archive or connect telephony — integrations aren't required for call analysis and conversion.
- Qualification
- The AI agent collects budget, area, property type and urgency and hands the agent a warm contact.
- Viewings
- Reminder calls the day before confirm the appointment or reschedule it — fewer wasted trips.
- Sources
- Conversion is measured for every portal and ad channel and for every agent.
- Data
- Collected fields and transcripts flow into your CRM (Bitrix24, amoCRM/Kommo, RetailCRM, Megaplan) and via webhook.
FAQ
Frequently asked questions
Do I need a telephony integration to start?
No. For call analysis and conversion measurement it's enough to upload your archive of recordings. Telephony (MANGO OFFICE, Telfin, Sipuni, Zadarma, UIS and others) and AI callbacks on portal requests are connected later, when you want to automate first touch and reminders.
How does the AI agent qualify a buyer?
The agent holds a natural conversation on your script: it clarifies budget, preferred area, property type and class, urgency and payment method, and filters out non-target inquiries. The collected data lands in the record fields and your CRM, and a warm contact is handed to a live agent with the transcript.
How does the platform reduce no-show viewings?
The AI agent calls the clients who booked a visit the day before: it reminds them of the address and time, confirms the appointment or reschedules it to a convenient slot. Every call outcome shows up in analytics, so the agent plans the day around confirmed appointments and doesn't drive out for nothing.
Can I see which portal brings target buyers?
Yes. Every call is tagged by lead source, topic, tone and outcome, and conversion is measured for each portal and ad channel — you can see which channel delivers deals and which delivers empty requests. The same is available broken down by agent.
Does call data flow into our CRM?
Yes. Collected fields, notes and transcripts are pushed into your CRM — Bitrix24, amoCRM/Kommo, RetailCRM and Megaplan are supported, plus an outbound webhook for any other system.
Industry solution
Industry scenario
Lead qualification for real estate agencies
A voice AI agent calls back every inquiry from listing portals within minutes, finds out budget, area and payment method, and hands the agent a warm contact with fields in the CRM.
Learn moreViewing confirmations for real estate agencies
A voice AI agent calls everyone booked for a viewing the day before: confirms the address and time, reschedules or cancels in the dialogue — fewer wasted trips to the property.
Learn moreBuyer-base reactivation for real estate agencies
A voice AI agent works through a base of "searched but didn't buy" buyers: finds out if the housing question is still live, updates budget and area, and hands hot ones to an agent.
Learn moreReady to start?
Turn every conversation into data, knowledge and action
Start by analyzing your conversations — no risk, no bots required. The platform turns your archive into data and a knowledge base, and voice agents plug in when you're ready.
Free plan, no card required.