Reclaim your pipeline from AI aggregators.
High-net-worth buyers are no longer scrolling through ten pages of Google links to find a home or commercial space. They ask Perplexity and ChatGPT highly specific, comparative questions — and the AI decides whether they ever see your project.
What your AI Share of Voice report looks like.
Citation monitoring and AI recommendation share, animated over the last 12 weeks of replays. Hover or tab into the chart for engine-level breakdowns.
Real-estate AI Share of Voice — your brand vs aggregators
12 weeks of buyer-intent prompts across 8 LLMs. Aggregator interception tracked separately.
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
Share of recommendations across 30 days of replays for queries like 'top luxury developers in HSR Layout'.
Buyers ask AI to compare developers — and act on the answer.
Today's sample query: "Compare the amenities and price per square foot of competitor 1 vs. competitor 2 in Bangalore." Buyers expect AI to do the legwork before they ever fill out a form, attend a site visit, or open a brochure.
AI routes your buyers to aggregators — and hallucinates your inventory.
When AI models answer complex queries, they gravitate toward structured data. If your digital footprint lacks proper semantic architecture, the AI bypasses your domain entirely and routes the buyer to third-party aggregators like 99acres or MagicBricks — forcing you to pay a massive commission on a lead that should have been yours. Worse, AI frequently hallucinates outdated pricing or sold-out inventory, instantly killing buyer trust.
Treat your portfolio as a dynamic data system the AI can read.
CiteRank AI tracks your Share of Voice across 8 LLMs, identifying exactly when AI routes a buyer to a competitor or aggregator. We provide the entity-level intelligence required to inject "RealEstateListing" and "Offer" schemas directly into the LLMs' training pathways, ensuring AI recommends your direct domain as the definitive source of truth.
Track how often AI cites a third-party broker instead of your direct website — across every prompt, every engine.
Detect when ChatGPT quotes outdated pricing, recommends sold-out phases or misstates possession dates.
Measure visibility for high-intent queries like "top luxury developers in HSR Layout" or "best 3 BHK in Whitefield".
See exactly which competing developers AI recommends when your prospect asks for alternatives.
Audit every flagship project, every micro-market, every typology — and prioritise the fixes that move the needle.
We deliver the structured-data and llms.txt patches required for AI to treat your site as the authoritative source.