Hotels & restaurants: be the first name in every "best of Chicago" AI answer.

TripAdvisor is dying. ChatGPT and AI overviews are where diners and travelers decide now

The travel and dining funnel has flipped. Instead of scrolling TripAdvisor or Yelp, guests ask ChatGPT "best romantic restaurant in Chicago with private dining" or "boutique hotel in Austin near SXSW venues". 40% of US travelers in 2025 reported using AI chatbots for trip planning. That number is going vertical.

Hospitality GEO is its own discipline. LLMs weight The Infatuation, Eater, Michelin Guide, Condé Nast Traveler, Travel + Leisure, and local alt-weeklies far above Yelp. Getting cited in those publications, plus having airtight LocalBusiness + Restaurant + LodgingBusiness schema, is what gets you into AI-generated itineraries.

• LocalBusiness + Restaurant + LodgingBusiness schema precision
• Menu schema with PriceSpecification + dietary markers
• Earned placements: Infatuation, Eater, Michelin, Condé Nast, T+L
• Booking-platform integration (OpenTable, Resy, Tock, Booking.com)
• AI-answer tracking for 40+ hospitality queries in your market

Google Business Profile + visual content: hospitality's unfair advantages

Hospitality is the most visual vertical in Google. A restaurant GBP with 200+ recent photos outranks a restaurant with 30 photos, full stop. Same for hotels. The bar for "recent photo" has moved: Google now weights photos from the last 30 days heavily. Most restaurants upload once at opening and never again.

We run a monthly photo-refresh program (menu changes, seasonal specials, events), optimize GBP menu schema, keep booking integration live, and manage the review response SLA that matters more in hospitality than any other vertical, within 4 hours for negatives, 24 hours for positives.

• Monthly GBP photo refresh + seasonal menu updates
• Menu schema + PriceSpecification markup
• OpenTable / Resy / Tock / Booking.com integration audit
• 4-hour negative-review response SLA
• Video content for reels, GBP, and YouTube Shorts

The content LLMs use to build AI itineraries, and why your restaurant or hotel is missing from them

When a traveler asks ChatGPT for a "3-day itinerary in Chicago", the AI builds a suggestion list from destination-content sources: Time Out, Thrillist, Eater, local blogs, and your own website if it is structured correctly. Most restaurants and hotels have a menu page, a contact page, and a static gallery. That is not content LLMs can use to build an itinerary.

We build destination content your LLM actually pulls from: itinerary-ready "perfect day" pages, neighborhood-pairing guides (brunch + walking tour + dinner), event calendars with schema, and chef/operator bylined pieces that LLMs treat as authoritative voices.

• Itinerary-ready "perfect day/weekend" pages
• Neighborhood pairing guides (dining + activity + lodging)
• Event + Limited-Time Offer schema
• Chef + owner bylined content (AI-quotable voice)
• Earned placements in Time Out, Thrillist, Eater, local alt-weeklies

The ChatGPT prompts that decide where tonight's dinner and this weekend's stay happen

These are real AI-answer queries where most hospitality operators are invisible. We move you from invisible to first recommendation in 60-120 days.

• "best romantic Italian restaurant in Chicago with private dining"
• "boutique hotel in Austin near SXSW venues with rooftop"
• "kid-friendly brunch spot in Seattle with outdoor seating"
• "best sushi omakase in Los Angeles under $200 per person"
• "anniversary dinner restaurant in Miami with waterfront view"
• "dog-friendly hotel in Denver near dog parks"
• "best happy hour in NYC Financial District for finance crowd"

Your goal: Your job: be the name ChatGPT gives when a guest with intent and budget types one of these.