How Do Hotels Get Found in AI Search Results?
Schema markup for hotels packages start at just £49 and are implemented in 48 hours. We translate your room types, amenities, booking links, and star rating into machine-readable code, ensuring AI assistants recommend you for the specific stay experiences you offer.
Why Independent Hotels Are Missing Out on AI Visibility
The OTA Dominance Problem
Booking.com and Expedia have perfect schema. That's why they rank above you. When an AI looks for a hotel, it finds the OTA listing first because the data is structured. By implementing rich Hotel and HotelRoom schema on your own site, you give AI a direct source of truth, helping you bypass the OTAs and win commission-free direct bookings.
Amenity Blindness
Guests filter by facilities. "Hotel with pool," "free parking," or "EV charger." If these are just bullet points in your text, AI might miss them. We explicitly tag every facility using structured data properties. This ensures that when a guest has a "dealbreaker" requirement (like an EV charger), your hotel is guaranteed to appear in the filtered results.
Pet Policy & Family Rules
One of the most common AI queries is "dog friendly" or "family rooms." Ambiguity here loses bookings. We use specific schema tags like petsAllowed and occupancy rules to tell AI exactly who is welcome. This puts you front and centre for family and pet-owner searches.
Room Type Specificity
Generic "Accommodation" pages don't rank for "Suite with balcony" or "Accessible room with wet room." We mark up your room inventory individually. This allows AI to match a guest's specific wish list ("I need a twin room with a bath") directly to your relevant room type, increasing conversion rates.
How AI Visible Helps Hotels Be Seen
We audit your property to digitise your amenities list and room inventory. We implement Organization schema configured as Hotel, BedAndBreakfast, or GuestHouse. We use HotelRoom schema to detail your room types. We tag your amenities (WiFi, Gym, Spa). Finally, we use AggregateRating schema to showcase your guest reviews from TripAdvisor or Google.
📊 What You Get:
Hotel/LodgingBusiness schema with star rating • HotelRoom schema for key room types • Amenity tagging (EV, Pool, Pets) • Direct booking integration • AggregateRating schema for reviews.
48-Hour Implementation Process for Hotels
We know hospitality is 24/7. Our process is hands-off, following our New Rules of SEO 2026 framework. Day 1 involves a digital audit where we gather your amenity list, check-in times, and booking engine links. We map this data to the hospitality-specific schema vocabulary.
On Day 2, we generate the JSON-LD code, validating it against Google's structured data guidelines and testing it with our internal AI prompts ("Find a romantic hotel in [City] with a spa"). Once verified, we deploy it to your site. In the following weeks, we monitor your visibility for amenity-specific searches.
Essential Schema Types for Hotels
Organization Schema: Your Digital Lobby
Configured as Hotel (or your specific type), this schema establishes your star rating, check-in/out times, and location. We also include your "starRating" property, ensuring AI presents you in the correct category (e.g., 4-star vs Budget).
HotelRoom Schema: Selling the Sleep
We use HotelRoom schema to treat each room type as a product. We define the bed type (King, Twin), occupancy limits, and specific room amenities (AC, Balcony). This helps you capture long-tail searches for specific room features.
Amenity Schema: The Filter Beater
We use the amenityFeature property to list everything from "Swimming Pool" to "Ironing Facilities." This is crucial for voice search and AI assistants, which often act as filters based on user requirements.
Review Schema: Guest Trust
Social proof drives bookings. We ensure your 4.5+ star TripAdvisor or Google reviews are visible to AI engines using AggregateRating schema. Showing a high rating directly in AI results builds instant trust and encourages the click.
Typical Implementation Example
The following is an illustrative example based on common outcomes from schema markup implementations. Individual results may vary.
The Scenario: A boutique hotel in the Lake District was paying 20% commission to OTAs (Booking.com) because direct bookings were low.
The Diagnosis: OTAs used schema perfectly; the hotel didn't. AI assistants sent users to the OTA to check availability.
The Solution: We added Hotel schema with `amenityFeature` (Pet Friendly, Spa, Parking) and `starRating` to compete directly in rich results.
The Outcome: Direct booking click-throughs **increased by 17%**, significantly reducing commission payouts and increasing profit margins. (Source: Hospitality Net Industry Stats)