AI Agents by Niche for Real Estate

Enquiries arriving at all hours about pricing, availability and location, answered the next working day if at all.

The short answer

A niche AI agent is a conversational system built for one business and one outcome, grounded in that company's own data through retrieval, with defined escalation to a human. For a real estate developer or brokerage, the work is judged on a site visit booked, not a form filled. An agent that answers project and pricing questions from real inventory, qualifies budget and timeline, and books a site visit into the sales calendar.

What is costing you money today

Enquiries arriving at all hours about pricing, availability and location, answered the next working day if at all.

Buying leads by volume and judging the campaign on cost per lead, while the sales team quietly discards eight in ten of them as junk.

What changes once this is in place

An agent that answers project and pricing questions from real inventory, qualifies budget and timeline, and books a site visit into the sales calendar.

How real estate actually buys

Weeks to months, with a sales team calling within minutes of the enquiry and the actual decision made by a couple or a family, not one person.

The unit of value
a site visit booked, not a form filled
The common mistake
Buying leads by volume and judging the campaign on cost per lead, while the sales team quietly discards eight in ten of them as junk.
What we do instead
Push the site-visit outcome back into the ad platform as the conversion event, so the algorithm optimises for the person who actually turns up.

What it has to talk to

A build for a real estate developer or brokerage is mostly integration work. These are the systems we expect to exchange data with:

  • CRM (Sell.Do, Zoho, Salesforce)
  • IVR & call tracking
  • WhatsApp Business API
  • Channel-partner portals

The words your buyers actually use

Generic service copy loses to copy written in the vocabulary of the vertical. These are the terms that carry intent here, and the ones the pages we build are structured around:

  • project microsite
  • site visit booking
  • cost sheet download
  • RERA number
  • possession date
  • floor plan enquiry

The rules this sits under

RERA registration numbers must appear on advertising in India; in Dubai, RERA/DLD permit numbers are required on listings. Claims about returns are constrained everywhere.

What you get

  • Use case definition — The one job, the one metric, and what the agent is explicitly not for. Written down before anything is built.
  • Knowledge base — Your documents, policies, prices and FAQs structured for retrieval — usually the largest and most valuable part of the work.
  • System integration — Live access to calendar, inventory, order data or CRM, because an agent that cannot see real data can only generalise.
  • Conversation design — Opening, qualification path, objection handling and the handover, written by someone who has read your real conversations.
  • Guardrails — Topic boundaries, approved copy for regulated statements, and a refusal behaviour that is graceful rather than blank.
  • Escalation — Confidence, sentiment and explicit-request triggers, with the conversation handed over in full to a person.
  • Evaluation set — Real conversations with expected outcomes, run against every change before it ships.
  • Analytics — The business metric, plus a report of what the agent could not answer — which is the most useful output of the whole system.

Real Estate: questions we get asked

Yes. An agent that answers project and pricing questions from real inventory, qualifies budget and timeline, and books a site visit into the sales calendar.

Same sector

Everything else we do for real estate

Other sectors

AI Agents by Niche for other industries

AI Agents by Niche built for real estate

Push the site-visit outcome back into the ad platform as the conversion event, so the algorithm optimises for the person who actually turns up.