Verdanta LivingSample customer
Real estate · 240 employees · Bengaluru · Hyderabad
Demo Lab / modelled programme scenario
Owning the long research window before the site visit
A residential developer tracked project-level prompts across two cities and corrected the outdated inventory facts engines were repeating.
Sample dataModelled scenario — the company names and numbers here are illustrative examples of how a CiteRank programme is reported. They are not real CiteRank AI customers, and no result shown has been measured for a named client.
The challenge
- —Engines repeated stale pricing and availability from third-party portals.
- —Project microsites were not resolvable as part of one brand entity.
- —Sales attributed nothing to AI because nothing was measured.
What we ran
- —City- and project-level prompt sets refreshed weekly.
- —Canonical fact sheets per project, mirrored into structured data.
- —Portal correction programme for the highest-cited third-party listings.
Before / after
Metric movement over five months
| Metric | Before | After | Change |
|---|---|---|---|
| Projects named in city prompts | 2 of 11 | 9 of 11 | +7 projects |
| Outdated facts in answers | 63% | 11% | −52 pts |
| AI Visibility Score | 26 | 59 | +33 pts |
ROI summary
What it was worth
+310/qtr
Site visits attributed to AI-sourced research
Captured through the visit booking form.
−19%
Cost per site visit
Blended across paid and organic.
4 months
Payback period
Programme cost against booked visits.
Illustrative modelling on sample data — not a projection of results for any specific brand.
Coverage
ChatGPTGeminiPerplexityAI OverviewsCopilot
Vertical benches currently run 5 engines; full tracking covers all 8.
More scenarios
Modelled scenario
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