Tourism boards and commercial-development agencies use catalog.xmap.ai to map where visitor-facing businesses cluster, and to prioritize infrastructure and marketing investment against real commercial density.
Identify where hotels, restaurants, and attractions cluster to prioritize investment.
Site directional signage where visitor-facing business density is highest.
Focus campaign spend on corridors with the amenity mix to support new visitor volume.
Find areas with visitor demand but thin lodging or dining coverage.
catalog.xmap.ai is a self-serve database of 140M+ real business locations across 40+ countries. Every record is an actual, physically-located business (not an estimate) with up to 36 structured fields: name, full address, latitude/longitude, category (three levels deep), brand and chain affiliation, hours of operation, phone and website, star rating and review count, open/closed status, and more.
You filter the catalog by category, brand, or geography in a live web interface, watch the matching record count update as you narrow the search, and export the results as a clean CSV file, ready to open in a spreadsheet, load into GIS software, or join against your own data.
The dataset refreshes every 30 days, so an export reflects recent openings, closures, and changes rather than a static snapshot from years ago.
| Field | Type | Why it matters here |
|---|---|---|
| category_level_1–3 | string | Identifies hotels, restaurants, and attractions in a corridor |
| rating / review_count | numeric | Signals which visitor-facing businesses are already thriving |
| latitude / longitude | float | Maps corridor density for infrastructure and signage planning |
| hours_of_operation | string | Reveals evening and weekend visitor-economy gaps |
A tourism board exports every hotel, restaurant, and attraction downtown, maps where they cluster most densely, and directs a limited signage budget to the three blocks with the highest visitor-facing business concentration.