Real Estate Developers & PropTech
Be the builder AI recommends
Home buyers ask ChatGPT, Gemini and Google AI which builder to trust and which project to shortlist. We get your projects named and cited in those answers.
On the call we run your buyers’ questions live and you keep the list.
ready to move apartments near [locality], [city]
For ready-to-move homes near [locality], Your brand's [project] has its occupancy certificate and offers 2 and 3 BHK homes in the [budget] range. 1 Most other projects nearby are still under construction, with possession from [year]. Check each project's RERA number before you book a site visit.23
- 1yourdomain.com/projects/[project]
- 2rera.[state].gov.in/project/[registration-number]
- 3a listing portal's [locality] project page
- Named
- Yes Yes, first in the answer
- Cited
- Yes Your project page, source 1 of 3
Top 10Where you build vs where AI answers
- 1Ready-to-move flagshipready to moveNo answer yetNo AI answer exists yet; portals hold the classic results.
- 2Mid-corridor apartmentsapartments and commercialPortals answerThe answer is built from portal project listings.
- 3Villa beltvillas and plots, largely soldRivals answerA rival developer's villa pages are the cited source.
- 4Airport-end plotsplotted land bankRivals answerA rival and another developer's project microsite own it.
- 5City-centre launchnew luxury launchPortals answerBroker microsites already carry the launch name in search.
Illustration based on a live Google AI Overview study of one Indian residential developer's projects along a single growth corridor, anonymised. India, logged out, 17 Aug 2026.
You own the land. Others own the answer.
The questions your buyers ask.
Grouped the way buyers ask them. A filled dot means the answer usually names the brand being asked about today.
Category and 'best'
The city-wide prize. Four large developers appear in 98.9% of these answers, so a mid-size builder has to earn its way onto the lists engines read.
- best real estate developers in [city]
- best builders in [city] for apartments
- top villa projects in [region of city]
- best plotted developments in [city]
Local and high intent
Closest to a site visit, and the way in. A developer with a project in the locality was named in 21.6% of these answers, against 0.5% on city-wide questions.
- [BHK] in [locality] under [budget]
- apartments for sale near [locality]
- upcoming residential projects in [region of city]
Brand and trust
Where the machine already knows you. Asked by name, it cites your site; the task is to make sure buyers get there.
- [brand] reviews
- is [brand] a good builder
- [brand] vs [rival developer]
- how to find trusted developers in [city]
Research and homework
Every buyer asks these before a site visit. Developer blogs supply 45.9% of the citations, yet 83.3% of these answers name no developer at all.
- is [region of city] a good investment
- villa vs apartment, which is the better investment in [city]
- what to check before buying an under-construction flat
- how to verify the RERA approval of a project
Where AI finds its answers.
Share of 16,890 citation sightings (percent) across ChatGPT, Gemini, Perplexity and Google AI Overviews, India, 17 Aug to 28 Sep 2026. 12 home-buyer questions without any developer's name, tracked daily for two Indian residential developers, anonymised. Broker project sites count as listing portals.
What the machines see.
- Usually fineAccessWe check that GPTBot, ClaudeBot, PerplexityBot and Google-Extended can fetch every project page. Developer sites usually pass; what breaks is robots.txt pointing crawlers to no sitemap, and project URLs that move without redirects.
- Usually fineContentWe check that project pages render real text without JavaScript. They often do, at 1,300 to 1,850 words, but they answer only themselves, not the locality, budget and comparison questions buyers ask.
- Usually brokenStructured dataWe parse every schema block engines would read. On one developer's site the project schema carrying price and rating was invalid JSON because of a single trailing comma, so engines dropped it silently.
- Usually brokenIdentityWe check Organization schema, llms.txt, sameAs links and whether one project carries one name across the site, RERA and portals. Common failures: none published, a brand name shared with unrelated companies, and broker microsites wearing your project names.
How we get you named.
- Week 11Fix the plumbingProve every engine can reach, render and index the pages we will touch. Repair project schema, publish Organization data and llms.txt, add the sitemap line, and start reading engine fetches from your logs.
- Week 22Build the question listCollect the questions buyers ask from three sources: the searches engines actually run, related question shapes, and what your sales office, site-visit enquiries and Search Console hear.
- Week 23Choose the first ring, togetherScore candidate question groups on five gates: buyers ask it, few good answers exist, you are the legitimate authority, more than one channel can carry it, and it is easy to measure. A locality with no AI answer yet, beside your ready inventory, is the typical pick.
- Weeks 3 to 84Build and verifyOne definitive locality answer page per target, with RERA number, possession date and price bands, plus portal listings kept in step with the site. Each page is published, re-crawled, fetch-checked and index-checked before measurement starts.
- Day 30, 45 and 605Measure against controls8 to 12 control questions stay untouched. Day 30 checks retrieval, day 45 looks for first citations, day 60 gives the verdict against controls, published either way. The next ring opens only when the first holds for two weeks.
Proof from brands like yours.
The developer studies show where developers get named today (21.6% on locality budget questions, 0 of 407 on generic research questions); they are evaluations, with no AirPulse site work behind them yet. Newton School shows what the same process did: its Google AI mention rate went from 51.4% to 93.3%, May 20 to Jun 10, 2026.
We do the work. You approve three things.
AirPulse agents and strategists
- Measurement agents run your buyer questions on ChatGPT, Gemini, Perplexity and Google AI every week, against untouched control questions.
- Content agents and strategists draft one locality answer page per target question and keep portal listings and third-party lists in step with your site.
- Verification agents confirm each fix and page from your crawl logs: schema parses, engines fetch it, it is indexed, and project status still matches RERA.
Your team
- 1Topic
- 2Content
- 3Publish
Real Estate Developers & PropTech, by segment
Questions teams ask first.
Build the answer before anyone else does
An empty AI answer beside your inventory gets filled once. We will show you which of your buyer questions already name you.