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SEO, GEO and AEO8 min read

How Builders and Brokers Get Recommended by AI

What ChatGPT and Google AI read before they name a project in Bangalore, why the RERA number matters, and eight steps a builder or broker can do this month.

Key takeaways
  • AI assistants answer property questions by searching the web and quoting the pages they can read. Your project page competes with property portals for those few spots.
  • Google says there's no special trick for its AI answers. A page needs to be indexed and allowed to show a snippet. ChatGPT needs its crawler, OAI-SearchBot, not to be blocked.
  • Put the facts buyers ask about (RERA number, carpet area, price range, possession date, location) in plain text on one page per project, not inside a brochure PDF.
  • AI repeats your data, mistakes included. Check each project's locality, map pin, price and status before anything else.
  • Keep those facts the same on your site, your Google Business Profile and every portal listing.
  • Eight steps below. A builder or broker can do all of them this month without paying for anything.

A buyer types "3 BHK under 1.5 crore near Whitefield, ready to move" into ChatGPT, Gemini or Google. The assistant names three or four projects. Your project is either one of them or it isn't. This post covers the parts you control, for builders and for brokers in Bangalore (Bengaluru) and anywhere else.

It is the real-estate version of our post on how a college gets recommended by AI. The basics are the same. Real estate adds two things: portals that dominate search, and RERA.

How the assistant picks which projects to name

For a question like this, assistants with web search usually don't answer from memory. They search, read a handful of pages and write an answer from them. You win or lose at the middle steps: can it read your page, and does it trust the facts enough to repeat them?

1. A buyer asks a question 2. It searches and finds pages portals, builder sites, reviews, news 3. It keeps pages it can read and trust plain-text facts that match elsewhere 4. It names three or four projects
Blue boxes are where your website is judged. Everything below is about passing steps 2 and 3.

Portals are the competition. When I searched "best 3 BHK apartments in Whitefield Bangalore under 1.5 crore" on 30 Oct 2026, most results were portals and aggregators. Only two were builders' own pages. That is one search, not a study, but it shows the shape: an assistant reading the web reads a lot of portal pages.

What building an AI property assistant taught me

This year I worked on an AI assistant that answers property buyers on WhatsApp for a Bangalore brokerage. It read the brokerage's own listings and replied to real buyers. Watching it fail taught me more about AI visibility than any guide. The same failures happen when ChatGPT or Gemini read your website. No client names or data are shown here.

The steps below are built around these lessons.

Step 1: Let the crawlers in

Google's guidance says a page must be indexed and eligible to show a snippet to appear in AI Overviews and AI Mode, and that there are no additional requirements. OpenAI's says any public website can appear in ChatGPT search, as long as its crawler, OAI-SearchBot, isn't blocked.

Step 2: One page per project, with the facts in plain text

Many builder sites keep the useful facts in a brochure PDF, a floor-plan image or a form. An assistant can't quote what it can't read. Give each project its own page, and put these facts in text near the top:

FactWrite it like this
RERA numberKarnataka RERA: PRM/KA/RERA/… (with a link to the RERA site)
LocationHoodi, Whitefield (pincode 560048). 2 km to Hoodi metro, measured on a map.
Map pinOn the project gate, and inside its own pincode
Configurations2 and 3 BHK, carpet area 1,050–1,420 sq ft
PriceFrom ₹1.2 crore (all-inclusive / plus GST, say which)
PossessionRERA possession date: Dec 2027

The values in the "write it like this" column are made-up examples. Use your project's real ones.

Example (made up)

Heading: "What is the possession date of Green Acres Hoodi?" Then straight away: "The RERA-registered possession date is December 2027. Towers A and B are at the slab stage." The answer first, the detail after. That shape is easy to quote.

Step 3: Show the RERA number everywhere

In India this is the law, not just good SEO. Under the RERA Act, a promoter can't advertise a project before it is registered (Section 3) and must mention the registration number in every advertisement (Section 11). Karnataka RERA's site notes that a provisional number isn't valid for marketing: you need the approved one. Brokers must also register as agents under Section 9 before facilitating sales in registered projects.

For AI, the RERA number does a second job. It is a checkable fact that ties your page to the official record. An assistant comparing sources has a reason to trust a page that carries it.

Watch out

I'm not a lawyer. Check your state RERA's advertising rules for the exact format (some states also want the RERA website address or a QR code).

Step 4: Make your facts match everywhere, starting with your own records

Your project probably appears on several portals. If the price on one portal, the possession date on another and the carpet area on your own site all disagree, the assistant has no reason to trust any of them. Google also lists keeping Business Profile information up to date as good practice for its AI features.

Step 5: Add real numbers, sources and named people

In a 2023 study, university researchers tested ways to make content show up more in AI-generated answers. Adding statistics, quotations and cited sources raised visibility by up to about 40% in their tests. Keyword stuffing did worse than doing nothing.

Watch out

That study used a simulated search engine and, in a second check, Perplexity. It shows what tends to help, not what ChatGPT or Gemini will do for your project.

Step 6: Set up your Google Business Profile the right way

Google's Business Profile guidelines treat real estate agents as individual practitioners, like doctors and lawyers. Three rules matter most:

Step 7: Add structured data that matches the page

Structured data is code that tells machines what a page is about. For a broker, schema.org has a RealEstateAgent type (a kind of local business) with fields like service area and address. Google says there's no special markup needed for its AI features, and that any markup must match the visible text. So add it, and never put a price or date in the code that isn't on the page.

Step 8: Check what the assistants actually say

What nobody can promise

No agency, including us, can guarantee an assistant will name your project. Answers change by person, day and wording. Portals have years of authority and thousands of pages, so a single project page won't outrank them for broad questions. Where you can win is the specific ones: your project name, your micro-market, your RERA number.

Do this today

Open your best-selling project's page. Check that the RERA number, locality, carpet area, price range and possession date are all there as text, and that the map pin sits on the project. Then search the project name on two portals and fix anything that doesn't match. That alone puts you ahead of most project pages.

Taipreneur helps builders and brokers with this: real estate lead generation and SEO, GEO and AEO. More answers are on the FAQ page.

Credit: Google Search Central, AI features and your website; OpenAI Help Center, Publishers and developers FAQ; Google Business Profile Help, Guidelines for representing your business; Andhra Pradesh RERA, advertisement provisions of the RERA Act, 2016; Karnataka RERA; schema.org, RealEstateAgent; Aggarwal et al., GEO: Generative Engine Optimization (2023). Summarised in my own words and checked 30 Oct 2026. The examples are made up; the portal observation is one search of my own, not a study. The lessons section comes from my own work on an AI property assistant, with no client names or data. Not legal advice.