AI-Powered Customer Research for Real Estate and Proptech (2026)

Quick answer: Real estate and proptech teams use Koji to interview buyers, sellers, renters, landlords, and agents at the moments that matter — after a property viewing, mid-search, post-move-in, after lease renewal, or right after a transaction falls through. Instead of chasing people for a 30-minute Zoom, you send a study link. Participants spend 6–12 minutes with an AI interviewer in voice or text, and you get a research report with themes, quotes, and visualised structured questions across hundreds of conversations. The result: continuous insight into how people actually search for, decide on, and live in property — without a researcher on every call.

Why Real Estate Research Is Broken Today

Real estate is the largest consumer purchase most people make and one of the most under-researched. The industry runs on:

• Anecdotes from top-producing agents that may not generalise.
• Quarterly NPS surveys that get 5-point scores with no "why."
• Mystery shopper studies that capture a single touchpoint, not the full journey.
• Quant dashboards (DOM, list-to-sale, lead-to-tour conversion) that show what happened but not why.

The reason is operational. Real estate research is hard to run at the volume the market actually moves at. Buyers are time-poor and emotional. Sellers want to focus on the move, not your study. Renters are juggling deadlines. Agents are mid-showing. Scheduling a moderated interview is an uphill battle, and the few people who say yes are the unrepresentative slice that has time.

Tools like Koji change the unit economics by removing the moderator from the loop. Every party in the transaction — buyer, seller, renter, landlord, agent, mortgage broker — can drop into a study link and have a real interview that captures the same depth as a Zoom call, without anyone scheduling anything.

What Koji Enables in Real Estate

Koji is an AI-native customer research platform. You write a brief — research goals, target segments, and questions across the six structured question types (open_ended, scale, single_choice, multiple_choice, ranking, yes_no). Koji generates a study link. Participants click and talk (or type) with an AI interviewer that follows the script and asks adaptive follow-up questions when answers are vague. When the study finishes, Koji aggregates everything into a research report with themes, quotes, segment splits, and charts for the structured questions.

The whole loop, from brief to report, can happen in days instead of weeks. For an industry where market conditions shift quarterly, that speed is decisive.

Key Use Cases by Persona

For brokerages

• Buyer journey research. Interview buyers in the first 30 days after closing about how they searched, what tools they used, and what almost killed the deal.
• Lost-deal interviews. Why did this buyer walk? AI follow-ups uncover the actual deal-killer, not just the polite reason.
• Agent satisfaction & retention. Run anonymous AI interviews with agents about commission splits, lead quality, tech stack, and brokerage support — see the stay interview playbook.
• Brand and market positioning. Compare brand perception across geographies with structured single_choice + open_ended questions in one fluid conversation.

For proptech startups

• Customer discovery before you build. Interview 30 renters or 30 landlords in a week to validate the problem — see the customer discovery sprint playbook.
• Beta tester debriefs. Every beta user gets a study link after 14 days. AI walks them through onboarding pain, feature gaps, and willingness to pay — see the beta tester interview guide.
• Pricing & willingness to pay. Run Van Westendorp or Gabor-Granger pricing studies on landlord or tenant segments with structured scales inside an open conversation.
• Onboarding research. AI interviews tenants and landlords inside the first 30 days to find activation drop-offs — see the onboarding research guide.

For property managers and PropCos

• Resident satisfaction beyond NPS. Convert your quarterly survey into a Koji study and the AI will ask "why" on every score. See the NPS survey guide.
• Maintenance and service journey research. Catch the experience while it is fresh — right after a work order closes.
• Move-in and move-out interviews. Capture friction at the two highest-emotion moments in the tenant lifecycle.
• Renewal decision research. Why do tenants renew? Why do they leave? Run continuous interviews 30–60 days before lease end.

For mortgage and title

• Application drop-off interviews. Reach out to applicants who started but never finished and run a Koji interview about what stopped them.
• Post-closing experience. Run an interview 7 days after closing to capture process pain while it is sharp.
• Channel research. Compare borrower experience across direct, broker, and partner channels with structured single_choice + open follow-ups.

Why Async AI Interviews Fit Real Estate Specifically

Three structural reasons real estate research has historically been thin, and how an AI interviewer changes each:

1. Participants are emotional and time-poor. A buyer or seller is dealing with one of the most stressful events of the year. They will not give you 30 minutes on a calendar. They will give you 8 minutes on their phone at 10 p.m. — which is exactly the form factor an async AI interview takes.
2. The sample is geographically scattered. Traditional market research has to fly someone in or pay a moderator network. AI interviewers work anywhere there is a browser, in 30+ languages, at the same per-conversation cost.
3. Touchpoints are time-sensitive. Memory of a property viewing decays inside 48 hours. Memory of a move-in pain decays inside 2 weeks. Always-on AI studies capture the moment because they are running 24/7.

Sample Study: Buyer Journey Research

Here is a research brief you could load into Koji this afternoon.

Goal: Understand how first-time buyers searched, decided, and felt during the purchase, and what almost killed the deal.

Segments:

• First-time buyer, closed in last 60 days
• First-time buyer, deal fell through in last 60 days

Questions (mixed types):

• (open_ended) Walk me through the moment you first decided you were ready to buy. What changed?
• (open_ended) How did you search? Which sites, apps, and people did you actually use?
• (scale 1–10) How stressful was the search? Why did you give it that score?
• (single_choice) What was the single biggest factor in your final choice? (Location / Price / Schools / Layout / Move-in condition / Other)
• (multiple_choice) Which of these almost killed the deal? (Financing / Inspection / Appraisal / Competing offer / Cold feet / Family disagreement / Other)
• (ranking) Rank these in the order you trusted them: (Listing agent / Buyer's agent / Friends and family / Online reviews / AI tools)
• (open_ended) If you could redo one part of the process, what would it be?

Run this once a quarter and you have a quantified, qualitative pulse on the buyer journey — the kind of insight only the largest brokerages used to be able to afford.

Why Koji Over Surveys or Focus Groups

Traditional surveys cap at the "what." They cannot ask "why did that almost kill the deal?" when a buyer ticks the financing box. AI follow-ups close that gap inside the same response.

Focus groups can ask "why," but they bottleneck on a moderator's calendar and capture a single hour of artificial conversation rather than the lived reality. Async AI interviews — see Why AI Interviews Beat Focus Groups — capture similar depth at a fraction of the cost and 10x the sample.

And unlike a meeting notetaker (compare Koji vs Fathom and Koji vs Granola), Koji does not require someone from your team to join the call. The customer talks to the AI. You read the report.

Costs in Plain Numbers

Koji uses a credit-based model designed for variable research volume. Insights is €29/month for 29 credits; Interviews is €79/month for 79 credits; annual plans give two months free. Overage is a flat €1/credit. Text interviews cost 1 credit; voice interviews cost 3; a report refresh costs 5. Only conversations scoring 3 or higher on Koji's quality rubric consume credits, so shallow or off-topic responses do not drain your plan.

A typical study — say 40 buyer interviews in voice — runs at 120 credits, or roughly €120 when overage is included. That is less than a single moderated interview from a traditional panel provider, for a sample 40x as large.

Compliance and Data

Real estate research often touches PII (names, addresses, deal status). Koji supports GDPR-compliant consent and data handling. If you handle protected health information for senior living or accessibility research, see the HIPAA-compliant AI user research and GDPR research overviews.

Getting Started

Three studies most real estate teams run in the first month:

1. A buyer-journey study with the brief above. ~40 interviews. 1 week.
2. A lost-deal study with anyone whose offer was not accepted in the last 90 days. ~25 interviews. 1 week.
3. An agent stay interview with your top 100 agents. Anonymous. AI moderated. 1 week.

Three weeks. Three reports. More structured customer voice than most brokerages capture in a year.

Related Resources

• Structured Questions Guide — Koji's 6 Question Types
• Customer Discovery Interviews at Scale
• Stay Interviews at Scale (for agents and CS)
• Always-On User Interviews with a 24/7 AI Moderator
• Pricing Research Survey Guide
• AI Voice Interviews: The Definitive Guide
• NPS Survey Guide with AI Follow-Ups