Agencies pay for expensive ads, but half of the callers don't get through on weekends, causing potential buyers to contact another agency.
Low-quality inquiries
Agents waste hours answering calls from people who lack financing or are looking for something completely different from the offered property.
Viewing schedule chaos
Coordinating times between owners, current tenants, and several interested parties by phone is a logistical nightmare for an agent in the field.
A defined solution, not an empty builder
An industry agent. A concrete scope.
Start with an industry workflow: questions, intake details, and clear boundaries. Tailor knowledge, hours, and human handoff to your business.
You approve the scope. The agent does not invent prices, availability, or outcomes.
Real estate / Incoming calls
What reaches your team?
Callback details, the reason for calling, and a next step for your team.
Collect a listing reference, general budget, preferred location and contact details. Ask only relevant questions and do not profile callers using protected characteristics.
This selection compares the offer; it does not save or activate an agent. AI Receptionist: €149/month, 300 minutes. Outbound and chat: scope and pricing confirmed separately.
6 calls the AI agent takes over from day one
Specific offer inquiry
„I'm calling about the apartment on Long Street; is the offer still active?”
Agent: Verifies offer status in the database and provides key property parameters, asking for a preferred viewing time.
Your team gets: Confirmed lead with a specific offer number and recorded time preferences.
Financial qualification
„I'd like to see this house, but I don't know if I'll get a mortgage yet.”
Agent: Asks helpful questions about financing status and informs about the need for preliminary verification before showing higher-end properties.
Your team gets: Information on the client's financial status for the agent, allowing for proper prioritization.
Property listing inquiry
„I want to sell a plot outside the city; do you handle that?”
Agent: Collects basic data about location and property type along with the owner's contact details for a dedicated agent.
Your team gets: A new acquisition lead ready for a broker to handle.
Rent and fees query
„How much are the administrative fees for this rental apartment?”
Agent: Lists the exact components of rent, utility costs, and deposits based on the office knowledge base description.
Your team gets: The client receives precise financial data, eliminating inquiries from those with insufficient budgets.
Office meeting booking
„I'd like to come in to discuss the sales strategy for my office building.”
Agent: Proposes available slots in the office manager's calendar and sends a meeting address confirmation.
Your team gets: A scheduled business meeting entered into the correct agency member's schedule.
Request for extra photos or floor plan
„Can you email me the floor plan for this apartment?”
Agent: Collects the email address and ensures the documents will be sent by the lead agent after the call.
Your team gets: A task to send materials for the agent along with a verified email address.
Choose the agent’s job. Define intake fields, questions, urgent situations, and the person who handles exceptions.
02
Business knowledge
Your services, service area, hours, contact rules, and approved answers. Missing information goes to your team.
03
Test before launch
Review mistakes, opt-outs, unavailable slots, and human handoff. Activate services only after verifying connections.
No invented resultsPeople for important exceptionsChannel scope agreed before launch
What can an AI receptionist handle?
A real estate AI receptionist can capture inquiries and route them to the right agent. It should use current, approved listing information, avoid unsupported availability promises and apply consistent, non-discriminatory intake criteria. A requested showing is not confirmed until an agent or connected calendar accepts it.
01
Buyer inquiries
Collect a listing reference, general budget, preferred location and contact details. Ask only relevant questions and do not profile callers using protected characteristics.
02
Showing requests
Record preferred dates and the property reference. Avoid sharing access codes or announcing a visit without confirmation.
03
Seller callbacks
Capture the seller’s preferred contact time and a general property location. Valuations, legal questions and negotiation belong with an authorized professional.
Is an AI agent right for your business (Real estate)?
A good fit if
Agents are at showings and miss calls
Buyers ask about the same listings, locations and prices
You want a qualified inquiry with budget and viewing time
You keep listings current and have handoff rules to agents
Probably not yet if
You expect property valuation or legal advice over the phone
Listings change daily and nobody updates the knowledge base
No agents are available to take qualified leads
You want AI to negotiate deal terms
A sample conversation
Illustrative script, not a real call.
Buyer
I am calling about the apartment on your website.
AI receptionist
Do you have the listing reference?
Buyer
Apartment 204.
AI receptionist
Thank you. I can take a showing request. Which days work for you, and what is your callback number?
Boundaries and human handoff
Use consistent, relevant intake questions for every caller.
Never disclose property access codes.
Do not invent valuations, listing status or investment returns.
Before going live
Approve business knowledge, data handling and routing rules. Test phone, calendar and staff handoff with fictional data. Saving a draft agent does not activate live calls.
Questions before implementation
Common concerns — and honest answers
Can the AI agent negotiate the price?
No, the AI agent does not participate in negotiations. Its role is gathering inquiries and initial qualification. All business decisions and negotiations remain with experienced brokers.
Real estate clients prefer talking to 'live' agents.
Definitely, but only if the agent actually picks up. AI replaces a missed call or busy signal, not the professional agent-client relationship at the viewing stage.
What if the agent makes a mistake in the description?
The agent relies strictly on your database. If something isn't in the description, the agent won't invent it; they'll promise to check and have an expert call back.
Will this work for a small, one-person agency?
For small agencies, Callivera is like a virtual assistant that works while you're at viewings. This ensures you don't lose any leads even when in the field all day.
How we check the agent before launch
01
Approved knowledge
The agent answers only from the offer, prices and rules you approve.
02
Test calls
We check common and difficult questions with fictional data before anyone calls.
03
Human handoff
We test when the agent stops and who receives the case.
04
Launch after approval
The number and calls go live only after you agree.
Free implementation consultation
Send an inquiry — we'll prepare an agent for your business.
No setup on your side. We'll get in touch, review your phone workflow, prepare the agent on approved knowledge and launch only after you approve.
Reply within 1 business day
A short call about your phone workflow
No commitment; launch after approved tests
AI Receptionist from €149/month · 300 min included
Real estate: a complete guide to AI phone agents
An AI voice agent for real estate offices answers calls from people interested in listings, collects contact details and preferences while agents are out showing properties. Callivera's AI receptionist starts at 149 EUR per month.
What calls a voice agent handles for a real estate office
Callers to a real estate office usually ask about a specific listing they saw online, the price, size, location, available viewing times, and rental or purchase terms. Agents spend much of their time out of the office, showing properties and meeting clients, so calls often go unanswered. An AI receptionist takes these calls, holding a natural conversation and sharing listing details the agent or office has approved beforehand, so an interested caller gets basic facts immediately instead of waiting for a callback.
What the agent records during a call
It collects the caller's contact details, the listing or property type they're interested in, budget, preferred location, and a convenient viewing time. This information is sent to the real estate agent or office in an agreed format so they can call back or schedule a viewing in their own calendar. The voice agent does not negotiate property prices, does not present contract terms, and does not give legal advice about a transaction — that always requires the agent or a lawyer.
What always stays with the real estate agent
Price negotiations, on-site property presentations, legal or technical assessment of a property, and closing a deal remain entirely with the agent. An AI receptionist does not replace a client meeting and does not decide sale or rental terms — its role is to answer the phone, share basic listing information, and pass collected details along so the agent can call back effectively.
Handling calls while agents are out showing properties
Real estate agents are often unreachable by phone exactly when a prospective client calls about a listing — mid-showing with another client or driving to a meeting. An AI voice agent keeps answering regardless of where the agent is, so the caller gets a response right away instead of a voicemail greeting, which often leads them to call another office instead.
How deployment works with Callivera
Deployment starts with an inquiry through the form on the Callivera website. Our team contacts your office to confirm current listings, basic details about them, and viewing-booking rules to build into the agent's knowledge base. We prepare the receptionist, test it against common listing questions, and launch it only after your approval. Outbound calls, such as viewing reminders, and website chat are quoted separately.
An example call walkthrough with the AI voice agent
Someone calls about an apartment they saw in an online listing, right while the agent is out showing a different property. The voice agent greets them, confirms which listing they mean, and shares basic approved details such as price, size, and floor. It then asks for the caller's contact details, budget, and preferred viewing time, recording everything in the agreed format. The call ends with a note that the agent will call back during the day to confirm the viewing. This way, an interested caller doesn't give up on a listing just because nobody picked up, and the real estate agent returns from a showing to find a ready note with everything needed for a callback.
Frequently asked questions
No, negotiations and transaction terms are always handled by the real estate agent — the AI collects contact details and preferences.
The Recepcjonista AI plan is 149 EUR per month for 300 minutes, with extra minutes at 0.39 EUR each. Outbound calls and chat are quoted separately.
Yes, within the information your office has approved in advance — price, size, location, and viewing availability.
Submit an inquiry through our form; we'll scope the agent's knowledge and launch it after testing and your approval.
Yes, if the office provides current listing details in the knowledge base, the agent answers questions about the specific listing the caller is asking about.
Lead Scoring Over the Phone
In real estate, not every call is a real sales opportunity. An AI virtual receptionist can be programmed to pre-select callers. By asking a few key questions – about the purchase purpose, cash availability, or moving timeline – the agent assigns the caller a priority. This allows the agent to return from the field and see clearly who to call back immediately vs. who is just researching. Automating lead scoring saves hours of unproductive calls and lets energy be focused on high-potential transactions.
Building a Knowledge Base from Property Details
Preparing an AI agent for real estate involves loading detailed offer descriptions, floor plans, and technical specs into its memory. The agent can answer technical questions: heating types, construction year, window orientation, or ceiling height. Instead of searching through folders while driving, the agent receives a ready note from Callivera with a question the AI already answered correctly. Once your listings are connected, the agent can provide up-to-date availability, which is useful for fast-moving developments.
Coordinating Viewings and Agent Calendars
A broker's biggest logistical challenge is syncing calendars. The AI receptionist can have access to your free slots and propose them to interested clients. The AI agent can handle 'open house' or serial viewing bookings, ensuring proper time gaps between meetings. Once booked, the agent can send a confirmation with the meeting address, reducing no-shows and late arrivals. You receive a ready daily plan on your phone without making a single logistical call.
This page also answers:
virtual real estate assistant
AI for real estate office service
automated real estate lead qualification
voice chatbot for developer
intelligent real estate reception
apartment offer inquiry automation
What is an unanswered call worth?
Use your assumptions, not someone else’s promises. Compare potential customer contribution with the offered plan cost.
An estimate, not a forecast or ROI guarantee. Contribution is revenue minus the cost of serving that customer. Setup, other services and taxes are not included.
Your estimate appears when all four values are entered.
€149/month · 300 minutes included · €0.39 / extra minute
AI receptionist for real estate teams: operational planning
Review required information, staff ownership and automation boundaries before making a decision.
Read the detailed planning notes
A listing reference is better than a guess
Ask for the listing ID or address before discussing an apartment. Similar photos and street names can refer to different properties. The team needs a current source for status, asking price and viewing restrictions. If a listing was withdrawn or changed price, the receptionist should not rely on an older website paragraph.
Create a useful agent callback
Record the property reference, purchase or rental intent, broad timing and relevant preferences. Apply consistent questions to callers and avoid protected-characteristic profiling. Route the request to the listing owner rather than an unassigned inbox. A viewing request needs agent or calendar acceptance; access codes and lockbox details remain outside public answers.
Measure qualified follow-up without invented returns
Track whether the right agent received a complete inquiry and whether a viewing was later confirmed. Keep duplicate inquiries and existing-client calls separate. Do not call every contact a sale or attribute transaction value to an answered phone. Valuations, negotiation and legal review remain professional work, even when intake is automated.