Be the hotel, restaurant,
and destination AI recommends.
"Best boutique hotel in Lisbon for a long weekend." "Where should I eat in Mexico City." Travelers ask AI now, not search engines. GeoGenie makes sure your property is in the answer.
Used by hotel groups, restaurant brands, destination marketing organizations, and travel platforms.
Travel discovery moved to chat -
and OTAs aren't enough anymore.
For a decade, hospitality marketing meant winning two surfaces: Google's hotel pack and the OTA listings on Booking, Expedia, and Tripadvisor. Both are losing share of the moment that actually matters - the consideration moment, before a traveler ever clicks a booking engine.
That moment now happens in ChatGPT, Claude, Perplexity, and Gemini. Travelers ask in natural language: "Best family-friendly resort in Mallorca with a kids' club." "Boutique hotel in Tokyo walking distance to Shibuya under $400." "Where to stay in Marrakech for a 5-day photography trip." The model returns three to five named properties - and those three to five capture the consideration set. Everyone else is invisible.
OTAs don't solve this for you. The major OTAs are themselves being reshaped by AI ("ChatGPT, find me a hotel that matches my preferences"), and the AI answers that drive the brand consideration - the moment a guest decides which property they want before they price-check on an OTA - happen entirely outside any OTA dashboard.
GeoGenie is built for hospitality brands that want to own that moment of consideration directly.
How the 3-Pillar framework
applies to hospitality.
Trust Layer - your property pages, retrieval-ready
We audit each property page, F&B page, and experience page against the structured signals AI travel queries depend on: schema.org Hotel and LocalBusiness markup, room and amenity granularity, location and neighborhood context, review aggregation in structured form, photography metadata. Most hotel groups we audit have 40-70% of this missing at scale.
Scale Layer - one page per traveler intent
The pages that win hospitality AI search aren't property pages - they're intent pages. "Best hotel in Lisbon for a couples weekend." "Family-friendly Marrakech riad with pool." "Boutique Tokyo hotel for first-time visitors." GeoGenie maps every priority intent to a page that should exist on your group site - by city, by traveler type, by occasion, by season - and prioritizes the build queue by booking-weighted opportunity. A 50-property group typically yields 400-800 net-new high-intent pages in the first audit.
Signal Layer - the travel citation supply chain
AI travel recommendations come from a specific set of trusted off-site sources: travel editorial publications, expert traveler blogs, niche destination Reddits, traveler community forums, design and lifestyle press, awards and curation lists. We map the exact set models reference for your property type and destination, and run citation outreach to close the gap.
The 8 steps, sized for
hospitality marketing teams.
- 1
AI Visibility Health Check across properties, destinations, and F&B offerings.
- 2
Topic Selection mapped to booking value and ADR, not vanity volume.
- 3
Prompt Identification by traveler segment - leisure, business, family, group, MICE.
- 4
Target Prompts and Pages Mapping - programmatic build queue per property and destination.
- 5
Citation Landscape Analysis - the editorial sources models cite for your destination and category.
- 6
On-site Content and Technical Execution - schema, neighborhood guides, F&B menus in retrieval-ready form.
- 7
Off-site Content Strategies - travel press outreach, awards positioning, community presence.
- 8
Measurement and Impact - AI mention rate, share of voice vs. comp set, direct booking attribution.
Use cases across
hospitality sub-segments.
Hotel groups: property-level visibility tracking per brand and per market; comp-set share of voice in destination prompts; direct booking attribution from AI exposure.
Boutique and independent hotels: punching above weight by owning niche traveler intents ("boutique hotel for design lovers in Mexico City") - exactly the surface AI engines reward depth on.
Restaurant groups and F&B brands: "best restaurant for X in [city]" intent mapping; chef and editorial press citation campaigns.
Destination marketing organizations (DMOs): destination-level share of voice; itinerary and experience surfaces; partner property highlights.
Cruise, tour operator, and experience brands: itinerary and occasion-based content surfaces; expert guide and reviewer citation outreach.
Measurable outcomes
hospitality teams see.
Move from "not mentioned" to the top 3 named properties in destination prompts within 60-90 days, for the brands that ship the on-site work consistently.
Direct booking lift - AI exposure routes travelers through brand search and direct, not through the OTA cut.
Compounding off-site equity - editorial placements seeded today keep paying citation dividends for 18-24 months.
Why hospitality teams
pick GeoGenie.
Built for multi-property groups - portfolio-level tracking with property-level execution.
Schema depth that traditional travel marketing tools don't cover.
Direct booking focus - measurement built around the channel that actually preserves margin.
The Publisher Network - editorial relationships across travel media that take years to build in-house.
See how AI describes your property today.
Free 60-second audit. We'll show you exactly how often ChatGPT, Claude, and Perplexity mention your property in the destination prompts that drive bookings - and against which comp set.