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Demo data · Las Vegas driving-school sampleAll three layers are read-only previews, not customer results
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See your territory, openings, and peers on one map

Territory, opportunity, and peers share one dense city map. Known, estimated and missing data are all marked right on it.

Territory signalStructured distributionSource: example customer ledger
Customer pointsYour locationPublic peer locations
01

An evidence card per view

The side panel explains evidence, gaps and unlock conditions — not demo numbers dressed up as conclusions.

02

Three switchable layers

Territory, opportunity, and peers share one city canvas and support arrow-key navigation.

03

AI advice has prerequisites

Map advice needs layers with real evidence and a configured model. This preview does not generate live location advice.

AI
AI boundary

The map does not read the current view and decide on its own. Once sources and a model are configured, it can prepare an explanation for human review. It still cannot launch a campaign or open a location for you.

See where the openings are in your city

Walk the three layers first — connect your own city when you see the value.

Create a workspace

Feature 2 · City map

See your territory, openings, and peers on one map

Territory, opportunity, and peers — three city views, each explaining its evidence, gaps, and unlock conditions.

Demo data · Las Vegas driving-school sample

Territory · Customer records · recorded structure

Start with where customers actually come from

Built from example customer locations. Connect your own customer ledger to see your real distribution.

Customer and store locations are demo data
Reach here explains the method, not guaranteed coverage
A live layer needs your recorded customer locations

Recorded structure · demo

Opportunity · Market context · configuration required

A coverage gap is not the same as demand

Shows how coverage, population, and category demand could be combined. Without those local inputs, the conclusion stays locked.

No preset demand count — without data, no conclusion
Example areas are illustrative only, not measured demand
Production advice needs evidence and a model connection

Context / fog

Peers · Public locations · estimated

Peer locations are context, not operating truth

Peers appear by public location only. Locations can describe context; price, sales, and quality remain unknown without evidence.

Peer data is a location reference only
Peer service reach is explicitly an estimate
No inferred peer revenue, sales or quality

Public source / estimate


AI

Where AI stops

The map does not read the current view and decide on its own. Once sources and a model are configured, it can prepare an explanation for human review. It still cannot launch a campaign or open a location for you.

See where the openings are in your city