The prompts your buyers already ask
Every engagement starts from a tracked prompt set like this — we measure who the engines name today, then move the answers.
ChatGPT
“Best neighborhoods in Austin for young families under $600k”
Neighborhood prompts — won with original, hyper-local data content.
Perplexity
“Is now a good time to buy a condo in Miami?”
Market-timing prompts — won by brokerages publishing real market data.
AI Overviews
“Property tax differences: Frisco vs. Plano”
Comparison prompts — precise local facts models can only get from you.
What the program covers
Hyper-local data content
Neighborhood guides and market reports at programmatic scale, fed by your MLS data — assets no national portal can match.
Local entity reinforcement
Agent and office entities, local schema, and map-pack signals aligned so models connect your brand to the geography.
Answer-side lead capture
Valuation tools and guides placed inside citable assets — turning answer visibility into contactable buyers.
Free
AI visibility check: see which brands ChatGPT, Gemini and Perplexity recommend for real estate buyers today.
Why Real Estate is different
LLMs are weakest exactly where local expertise lives — fresh, block-level facts. A brokerage that publishes real local data becomes the retrieval source of record for its metro, a position national portals can’t buy back with domain authority.
Questions we get
We’re one brokerage — can we really outrank Zillow in AI answers?
For hyper-local prompts, yes. Portals have breadth; you have depth. Models prefer specific, current, block-level data for neighborhood questions, and that’s exactly what a local brokerage can publish.
Where does the local data come from?
Your MLS access, transaction history, and agent knowledge — we structure and publish it. Nothing is scraped or invented; that’s what makes it citable.
Does this generate actual leads or just visibility?
Both are designed in: valuation tools and neighborhood guides carry capture points, so being the cited source converts into contactable buyers and sellers.