Hilton, deliver flawless guest experiences across 7,000+ properties worldwide
Uberall helps global hospitality brands unify their local digital presence, drive direct bookings, and turn every property into a discovery engine.
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Increase in direct bookings from local search for hospitality clients using Uberall Listings
IMPROVEMENT: Import your location data from any source — CRM, spreadsheet, or directly from your existing listings. GEO Studio maps every location
Properties managed from a single platform — consistent brand, local relevance, zero manual effort per location
IMPROVEMENT: Import your location data from any source — CRM, spreadsheet, or directly from your existing listings. GEO Studio maps every location
Average review response rate achieved within 90 days of deploying Uberall Engage across all locations
IMPROVEMENT: Import your location data from any source — CRM, spreadsheet, or directly from your existing listings. GEO Studio maps every location
What GEO Studio Does
Everything you need to own AI-powered search
Three core capabilities, one unified platform. Measure your AI presence, optimize your content, and scale your visibility — across every model, every market, every location.
Inconsistent Listings Across 7,000+ Properties
With properties spanning 126 countries and 22 brands, maintaining accurate NAP data, amenity details, and seasonal hours across Google, Apple Maps, Tripadvisor, and 75+ directories is nearly impossible at scale. Inconsistencies directly hurt local search rankings and erode guest trust before they ever reach your booking engine.
Losing Direct Bookings to OTAs in Local Search
When a traveler searches 'hotels near me' or 'Hilton downtown Chicago,' OTAs dominate the results with aggressive local SEO. Every booking that flows through Expedia or Booking.com costs Hilton 15-25% in commission fees. Winning the local search battle means reclaiming that revenue at the property level.
Managing Guest Reviews at Scale Without Losing the Personal Touch
Hilton properties generate tens of thousands of reviews monthly across Google, Tripadvisor, Yelp, and brand-specific channels. Responding meaningfully to each — especially negative reviews that impact future bookings — requires a system that combines AI-assisted responses with brand-approved messaging and local GM oversight.
Ready to Turn Local Presence Into Revenue?
Former VP of Data at Uber. Stanford CS. Passionate about democratizing data analytics.
Sales Person Name
Former VP of Data at Uber. Stanford CS. Passionate about democratizing data analytics.
Sales Person Name
Former VP of Data at Uber. Stanford CS. Passionate about democratizing data analytics.