Questions buyers ask AI
Examples of the questions where AI names specific brands. Track questions like these for your own business.
The sources AI leans on
When AI engines answer questions about real estate developers and agents, they combine what the model learned in training with pages found through live search. These kinds of sources tend to shape the answer:
- Property portals and listing sites in each country.
- Google Business Profiles, maps listings and their reviews.
- News coverage of launches, approvals and deliveries.
- Forums and community threads where buyers discuss builders and areas.
- Your own project pages with location, configurations, prices and approvals.
What to do
- 1Track area, project, builder and agent questions in each city you work in, in the languages buyers use.
- 2Give every project its own page with location, configurations, price ranges, approvals and possession dates.
- 3Keep portal listings, maps profiles and your site consistent.
- 4Answer common buyer questions on your site: legal approvals, payment plans, nearby schools and transport.
- 5Earn coverage in local news and trusted property publications.
- 6Respond to reviews and fix wrong information about delivery dates or prices.
Watch out for
- Old launch prices and possession dates that AI keeps quoting.
- Projects listed under slightly different names on different portals.
- Negative forum threads that AI summarises without your side.
How Variask helps
- Track the questions your buyers ask across ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI, in every market you sell in.
- See which competitors get recommended instead of you, and the sources behind each answer.
- Catch wrong facts about your prices, products or policies, with the pages that likely caused them.
- Get content briefs and site fixes for the questions you lose, and measure AI traffic to your site.