At AI-Ghar we don't just build a search engine — we read every search. Over the past 6 months, 50,000 Indians described the home they wanted in plain English. Here is what the data revealed, and why traditional portals are failing them.
Finding 1: Price Surprise Is the Biggest Frustration
73% of searches specified a budget. Of those, 61% received results where the advertised price was ₹8–22 lakhs below the actual all-in cost (once you add floor rise, parking, club membership, and GST). AI-Ghar shows all-in price by default — this single feature drove the highest user satisfaction score in our surveys.
Finding 2: Buyers Know What They Want — Within 3 Minutes
Average time to complete a full AI-Ghar search query: 2 minutes 47 seconds. Average time a buyer spends filtering a traditional portal before calling a broker: 3.2 hours. The gap isn't in willingness — it's in the interface. When you can describe what you want in natural language, decision-making accelerates.
Finding 3: 54% Want 2BHK — But End Up With 3BHK Recommendations
54% of our searches specified 2BHK. Traditional brokers recommend a 3BHK to 68% of 2BHK buyers (our survey data). Why? Because 3BHKs have higher absolute prices — and higher commissions. AI-Ghar has no such incentive. We show what matches, not what pays more.
Finding 4: Hyderabad Is the Most Searched City — By Far
- ✓Hyderabad: 31% of all searches (Gachibowli, Kondapur, Kompally dominate)
- ✓Bangalore: 24% (Whitefield, Sarjapur, Hebbal)
- ✓Pune: 16% (Hinjewadi, Kharadi, Baner)
- ✓Mumbai: 11% (Thane, Navi Mumbai suburbs)
- ✓Chennai: 8% (OMR, Sholinganallur)
- ✓Others: 10% (Delhi NCR, Kolkata, Ahmedabad)
Finding 5: Possession Timeline Matters More Than Price
When buyers ranked their priorities, 'possession within 18 months' ranked 2nd — above 'price range' which ranked 3rd. Only 'location' ranked higher. This is a fundamental insight: Indian buyers are not purely price-driven. Time certainty (will I get my flat when promised?) is the second most important factor — and RERA is what makes this data reliable.
Finding 6: The Broker Spam Economy Costs Buyers 6 Weeks
We surveyed 500 recent buyers about their search experience before using AI-Ghar. Average number of broker calls received after a single portal inquiry: 14. Average weeks spent in broker follow-up conversations: 6.2. Average number of properties shown by brokers that actually matched their stated requirements: 2.3 out of every 10 shown.
AI-Ghar was built to solve this directly: natural language search, RERA-verified projects, 98.4% match accuracy, zero broker calls. Try it free at ai-ghar.com.
What This Data Means for the Industry
The Indian property market is information-asymmetric by design — brokers control what buyers see. RERA broke this open legally, but technology is what's making it practical. AI-powered search is not a luxury feature; it's the natural next step after RERA transparency. The next 50,000 searches will tell us even more.