Foot traffic, competitive density, demographic profiles, and points of interest: datasets built for retail expansion, franchise planning, and market analysis.
Opening a new store is a million-dollar location decision. But most site selection still depends on a broker's opinion, a drive-by visit, and a demographics report that covers the wrong trade area. The spatial data that would confirm or kill the deal exists, but it is scattered across five vendors and takes weeks to assemble.
Query foot traffic, competitor proximity, demographics, and transit access for any candidate address in seconds.
Define custom trade areas by drive time, walk time, or radius and profile the population inside them.
Map every competitor location within a radius and identify underserved gaps in the market.
Find locations that match a specific customer profile: income bracket, household size, age cohort, and density.
Pay per query, not per download. Fractional access to any geography.
Ask your AI to score a location before you sign the lease. BigGeo AI connects Claude or ChatGPT to foot traffic, demographics, and competitor data, governed and billed per query.
Learn About BigGeo AIBook a 20-minute demo. We'll walk through your use case with real data.