AI Chat
Conversational AI for real estate means using AI systems that understand natural language. These systems give quick and accurate answers about properties. They help buyers and investors find properties, compare prices, and learn about local areas. Users can get recommendations through chat or voice. By simplifying complex real estate data, it becomes easier for people to understand. This helps them discover information, clarify doubts, and make decisions during their property journey.
Real estate decisions are slowing down, and not because people lack options.
They slow down because people lack clarity.
Buyers jump between listing portals. Investors skim through market reports. Tenants compare prices across ten browser tabs. And yet, the real picture still feels incomplete.
In a market where trends shift every week, this delay becomes expensive.
And all of this happens for one simple reason- information is scattered everywhere.
But what if all that market intelligence, such as prices, demand, insights, and trends, could be understood instantly?
Conversational AI for real estate aims to bridge that gap, bringing market intelligence in an easy-to-understand manner into one place.
What is TryThat.ai? India’s First Trusted Conversational AI for Real Estate
Instead of opening multiple websites, browsing dozens of listings, or decoding long reports, users can simply ask TryThat.ai their questions or doubts.
Whether you’re a buyer, tenant, agent, or investor, you can get answers to questions such as:
- “What’s the average price in Kharadi this week?”
- “Are 2BHK rents rising in Hinjewadi?”
- “Show me office absorption trends for the last 6 months.”
- “Compare 2 projects under ₹80 lakh near Baner.”
These questions might look simple on a surface level, but at the backend is a platform that reads listings, tracks market signals, interprets trends, and processes real estate data in real time.
Unlike portals that only show available properties, TryThat.ai helps you understand the market behind the listings- prices, movements, patterns, demand pockets, micro-market shifts, and property-level insights.
Why Real Estate Needs Conversational Intelligence Today
Real estate is a fast-moving market where prices change quietly. Demand shifts without warning. Every week, there is a new project launch.
Despite this, most decisions are taken through slow, manual research.
❌Buyers scroll through listings hoping to spot a good deal
❌Investors wait for someone to share the latest trend report
❌Agents rely on scattered updates from WhatsApp groups and news portals
❌Tenants compare neighborhoods using guesswork or outdated data
The problem isn’t the lack of information, but the fragmented, delayed, and difficult-to-interpret nature of it.
Even when you find data, you still need to:
- Compare it across projects and micro-markets
- Interpret what the trend actually means
- Decide whether it’s the right time to act
- Repeat the process every week as the market shifts
The slow decision-making process often means losing a price advantage, missing a good rental opportunity, or being late to a high-demand pocket.
This is why instant understanding is crucial to getting a competitive advantage. Within seconds, you get clarity that usually takes hours.
The Real-World Advantage of Conversational AI in Real Estate
Beyond giving answers, TryThat.ai is changing the speed and confidence with which decisions are made.
In real estate, timing is everything. Prices shift, inventory tightens, demand pockets move, and neighborhoods rise or cool down without warning. Traditionally, only analysts or deeply active investors could track these shifts with accuracy.
Conversational AI levels that playing field:
- Buyers understand whether a deal is fair or overpriced before they negotiate.
- Investors spot micro-trends like rental upticks or price stagnation in seconds.
- Tenants compare areas without needing to check multiple portals.
- Agents & brokers get instant clarity that helps them guide clients faster and more confidently.
Instead of digging through reports, dashboards, PDFs, or WhatsApp forwards, you can simply ask and get the meaning behind the data, not just the data itself.
Practical Use Cases of TryThat.ai
Conversational AI becomes powerful when it fits naturally into real decisions.Here is how people are using TryThat in the real world:
1. Buyers: “Is This a Good Deal?”
Most homebuyers are often worried about the quoted price and want assurance that it’s justified.
With TryThat.ai, they can instead ask:
- “2BHK Wakad ka average price kya chal raha hai?”
- “Ye project overpriced hai kya?”
- “Launch se ab tak kitna appreciation hua?
Users get clarity before negotiating and avoid paying more than they should.
2. Tenants: “What’s the Best Area for My Budget?”
Tenants don’t want to browse hundreds of listings. They want a direction.
With quick prompts like:
- “25k budget—Baner ya Balewadi better?”
- “Rental demand kahaan high hai?”
They instantly see which areas fit their lifestyle, commute needs, and budget.
3. Investors: “Where is The Market Moving?”
Investors care about timing and returns. They use TryThat.ai to understand:
- Area-wise yield
- Rental demand shifts
- Price stagnation or early appreciation zones
- Launch absorption and supply pressure
Instead of going through lengthy reports, they can narrow down the insights into one clear answer.
4. Agents and Brokers: “Where is the Market Moving?”
Agents often lose deals because information takes too long to collect
TryThat helps in:
- Comparing micro-markets instantly
- Justify pricing with live trends
- Guide clients with real-time clarity
- Prepare talking points in seconds
It becomes a quick intelligence tool they can use, even during a site visit.
5. Builders and Marketing Teams: “Where Should We Focus?”
For developers, market understanding shapes strategy.
Trythat assists them with:
- Demand pockets for new launches
- Inventory movement
- Competitor pricing
- Neighbourhood sentiment
It helps identify where the market is leaning before campaigns or pricing decisions.
Summing Up
A conversational AI for real estate is steadily transitioning from a tool to a workflow. It is changing the way people arrive at a decision and the type of choices they are making.
Instead of searching across portals, decoding charts, or waiting for someone to “get back with the data,” users can now get clarity instantly by simply asking.
Trythat aims to bring everything that slows down real estate decisions together and turn them into a clear conversational experience: scattered information, delayed signals, complex reports, and inconsistent insights.