Reclaim your pipeline from AI aggregators.
Buyers no longer scroll ten pages of links to find a home or a commercial space. They ask AI assistants specific, comparative questions about price per square foot, amenities, possession dates and locality — and the engine decides whether your project is ever mentioned.
Vertical benches currently run 4 engines; full tracking covers all 8.
AI answers with aggregators unless you are readable.
Engines gravitate to structured, frequently updated data. Aggregators publish exactly that, so they win the citation and you pay a commission on a lead that started as your own demand.
'Compare price per square foot and amenities for two projects' is now a first-touch question, not a late one.
Portals publish structured inventory, so engines cite them and route the buyer away from your direct domain.
Sold-out units and stale prices persist in AI answers and destroy trust before a site visit is ever booked.
Demand is locality-level. Visibility in one corridor says nothing about the next one two kilometres away.
Configurations, carpet area, possession and approvals are usually locked in brochures engines cannot parse.
Without replays you cannot see which developer the engine consistently names ahead of you, or why.
Who the engines recommend in your micro-markets.
A sample of the real-estate prompt graph replayed across engines, by project type and locality.
| Category prompt | ChatGPT | Gemini | Perplexity | Copilot | Answer concentration | You cited? |
|---|---|---|---|---|---|---|
| Best premium apartments in the north corridor | Developer A, Portal, Developer B | Developer A, Portal, Developer B | Developer A, Portal, Developer B | Developer A, Portal, Developer B | 3 of 16 | — |
| Ready-to-move 3BHK under a set budget | Portal, Developer C, Developer A | Portal, Developer C, Developer A | Portal, Developer C, Developer A | Portal, Developer C, Developer A | 4 of 13 | |
| Compare amenities of two flagship projects | Portal, Developer B, Developer D | Portal, Developer B, Developer D | Portal, Developer B, Developer D | Portal, Developer B, Developer D | 3 of 9 | — |
| Grade A office space near the business district | Developer E, Portal, Developer A | Developer E, Portal, Developer A | Developer E, Portal, Developer A | Developer E, Portal, Developer A | 3 of 11 | — |
Illustrative modelled data — not live client results. Names anonymised.
Illustrative scenario modelled end to end.
A developer with four active projects was cited on almost no comparative prompts; portals absorbed the demand instead. We published project inventory as structured, current data and rebuilt the locality content around the questions buyers actually ask.
- RealEstateListing, Offer and Place schema published per project and configuration
- Live pricing, availability and possession status exposed in machine-readable form
- Locality guides written to answer comparison, budget and connectivity prompts directly
- Developer entity unified across projects, RERA identifiers and practice coverage
- Weekly replays to attribute citation gains against the portals
Illustrative modelled data — not live client results. Names anonymised.
Project-level visibility you can act on.
Visibility trend and share of voice, loaded with a real-estate dataset.
AI Visibility — Share of Voice over time
12-week trend, weighted across the tracked LLMs.
Illustrative Scenario
Demonstrating real-estate capabilities with modelled data. Fictional brand scenario for demonstration only.
Tip: tab into the chart to focus a weekly data point, then use the left and right arrow keys to step through weeks. Press Escape to exit.
AI recommendation share — you vs competitors
Per-engine Share of Voice across the last 30 days of replays. Hover or focus a bar for the breakdown.
Illustrative modelled data — not live client results. Names anonymised.
Questions from real estate teams.
Can you track individual projects, not just the developer brand?
Yes. Each project gets its own prompt cluster and visibility reporting, so you can see which launches are cited and which are invisible.
How do you handle hallucinated inventory?
Replays flag prompts where engines state incorrect pricing, availability or possession. Those become the highest-priority fixes because they cost trust as well as leads.
Do we have to fight the portals?
Not directly. The goal is for engines to have a citable, current source on your own domain so your project is named alongside — or ahead of — the portal listing.
How many prompts does a developer need?
Typically 250 to 750 depending on the number of active projects, localities and asset classes.
How quickly do citations shift?
Structured inventory and locality content usually show measurable movement within four to eight weekly replay cycles.
See who AI recommends in your market.
Run a free audit and get the project and locality breakdown of your AI share of voice.