Appear for Hospitality.

Hotel recommendation visibility

AI hotel recommendations are replacing traditional search and OTA browsing for a growing segment of travellers. “Best boutique hotel in Kyoto for first-time visitors,” “family-friendly resort in Cancun with an all-inclusive option,” “quiet hotel near Central Park under $300” — these queries require AI to match property type, location, price range, amenities, and guest profile simultaneously. Hotel websites rich with immersive photography and booking widgets often deliver almost no structured text for AI to work with. Appear structures your property attributes — room types, amenities, location context, price positioning, and guest experience descriptions — so AI can recommend your hotel for the exact traveller queries where you are the best fit.

Restaurant and dining discoverability

Restaurant recommendations are one of the most common AI use cases. “Best sushi restaurant in San Francisco,” “romantic dinner spot in Rome with a view,” “gluten-free friendly restaurants in Nashville.” AI must match cuisine type, dining experience, dietary accommodations, location, price range, and ambiance. Restaurant websites are notoriously difficult for AI — menus as PDFs or images, reservation widgets that block content access, minimal text beyond the bare essentials. Appear structures your restaurant's cuisine, signature dishes, dining experience, dietary options, price range, and atmosphere so AI can recommend you for the specific dining queries that drive covers.

Experience-based content and trip planning

AI-assisted trip planning goes beyond individual bookings to full itinerary creation. When a traveller asks AI to “plan a wine country weekend in Napa,” the AI assembles hotels, restaurants, wineries, and activities into a cohesive recommendation. Properties and experiences that provide structured, AI-readable content about their offerings, location context, and ideal guest profiles are included in these itineraries. Those that don't are replaced by competitors who made the effort. Appear positions your property or experience as a natural component of AI-generated itineraries in your destination.

Booking and availability signalling

Travellers asking AI for recommendations want to act on those recommendations quickly. Properties that AI can describe with booking context — direct booking options, rate positioning, seasonal availability, special packages — convert recommendations into reservations more effectively than a bare mention. Appear structures your booking-relevant information so AI recommendations include actionable context that drives the guest from answer to reservation.

Review and reputation visibility

Guest reviews and reputation signals heavily influence AI recommendations. AI synthesises information from review platforms, travel publications, and your own website to form a recommendation. If your property's accolades — awards, press mentions, consistently high ratings, notable guest experiences — are only present on third-party platforms or buried in press page PDFs, AI may recommend you without your strongest selling points. Appear surfaces your reputation highlights as structured data that AI incorporates into every recommendation.

Direct booking revenue

Every AI recommendation that includes your property is an opportunity for direct booking — bypassing OTA commissions that typically run 15-25% of room revenue. AI-referred guests who book directly represent the highest-margin digital acquisition channel available to hotels. As AI trip planning grows, the properties AI recommends will capture an increasing share of direct bookings while OTA-dependent properties lose visibility in the planning phase entirely.

Destination authority

Hotels and restaurants that AI consistently recommends in a destination build compounding visibility. The property that appears in multiple AI-generated itineraries for your city becomes the default recommendation — the place AI mentions first because it has the most complete and reliable data. This is destination authority in the AI era, and it builds over time as AI systems increasingly favour sources they have successfully cited before.

Seasonal and event-based visibility

Hospitality revenue is inherently seasonal and event-driven. AI queries spike around holidays, festivals, conferences, and seasonal travel patterns. Properties with structured content about seasonal offerings, event proximity, and special packages are included in these high-intent queries. Appear lets you structure seasonal and event-specific content so AI recommends your property for the right occasions at the right times.

GEO

What is Generative Engine Optimization (GEO)?

GEO is the practice of making your website understandable and citable by AI systems. A complete introduction to what it is, how it works, and why it matters.

Technical

Structured data for AI visibility: the complete guide

JSON-LD schema markup is the most direct way to tell AI systems exactly what your content means. The schema types that matter and how to implement them.

AI Visibility

How AI Assistants Choose Which Brands to Recommend: The Inside Story

How LLMs select sources during inference, the role of training data versus real-time retrieval, and the five signals that determine which brands get cited.