Your buyers are asking AI before they call you.
They ask about neighbourhoods, prices and risk long before they contact an agent. Whether your listings are part of that answer depends on whether an AI can read them — and most listing data cannot be read at all.
- Built Parcela Nova
- 340 municipalities scored
- Diagnosis in days
Where the hours go
The same three every time.
Three problems show up in almost every brokerage I talk to.
Leads go cold in the gap
Your listings are invisible to AI
The area knowledge is in your head
What actually works
Ranked by what pays back first.
1 · Instant enquiry response and qualification
2 · Follow-up that does not depend on memory
3 · Structured, agent-readable listing data
4 · Your area knowledge, made queryable
The proof
I have built this at country scale.
Parcela Nova scores all 340 municipalities in Guatemala — buildable land, hazard exposure, electrification, drive time to the capital — from 12+ official sources and 10+ global datasets, and exposes the whole thing through an open MCP server any AI client can query.
It is the same problem your brokerage has, at national scale: property information that existed but was unreadable, turned into something a machine can answer from.
Questions
The ones I actually get asked
Is your inventory readable?
Send me a listing URL. I'll tell you on the call exactly what an AI crawler sees when it looks at it — usually less than you would expect.
Book a 20-min call