The hotel sector is one of the most impacted by the rise of AI engines. When a traveller asks Perplexity "Which boutique hotel to book in Lyon for a romantic weekend?", the answer includes precise recommendations with name, price and arguments. Is your hotel one of them? If the answer is no, this article explains exactly why and how to remedy the situation.
The challenge: OTAs dominate AI responses
Booking.com, Expedia and TripAdvisor structure their data perfectly for AI. As a result, AI responses often cite OTAs rather than the hotel's direct website. For hoteliers, this means fewer direct bookings and more commission paid to intermediaries.
Why OTAs are favoured
OTAs invest heavily in structured tagging, multilingual content and centralised reviews. Their hotel files contain hundreds of structured data items that AIs can easily exploit: prices per night, availability, verified ratings, categorised photos. Faced with this mass of structured information, the direct site of an independent hotel with a simple contact form pales into insignificance.
The good news
By optimising your site for GEO, you can regain control of your AI visibility and encourage direct bookings. AIs increasingly favour primary sources (your official site) when they are correctly structured, as they consider this to be the most reliable source of information about your establishment.
Schema.org Hotel: the essential foundation
Hotel (or LodgingBusiness) markup must be exhaustive so that AIs can understand your offer precisely.
Mandatory properties
- Basic information: name, address (with streetAddress, postalCode, addressLocality), telephone, email, url
- Classification: starRating with ratingValue (official Atout France stars)
- Facilities: amenityFeature (swimming pool, spa, restaurant, car park, wifi, gym, bar)
- Times: checkinTime, checkoutTime (ISO format "14:00" / "11:00")
- Rates: priceRange or a structured offer with minimum price
- Photos: images with quality URLs (room, façade, restaurant, lobby)
Differentiating properties
- containsPlace - room types with capacity, surface area and description
- hasOfferCatalog - packages (romantic weekend, spa break, etc.)
- geo - exact GPS coordinates (latitude, longitude)
- aggregateRating - average rating with number of reviews
Common mistake: the generic Schema
Many hotels use a LocalBusiness Schema instead of Hotel. This is a mistake: AIs do not recognise the establishment as a hotel and cannot exploit the specific properties (rooms, check-in/out, facilities). Always use the most specific type available.
Multi-source reviews: the decisive factor
AIs cross-reference reviews from several sources to evaluate a hotel. It's not just the rating that counts, but the consistency between platforms and the volume and freshness of the reviews.
The three key sources
- Google Business Profile - overall rating, number of reviews, owner's responses. This is the No. 1 source for AIs.
- TripAdvisor - local ranking, certificate of excellence, Traveller's Choice badges. Perplexity frequently quotes TripAdvisor in its responses.
- Booking.com - verified traveller rating. Booking ratings are considered particularly reliable because they are linked to actual stays.
Review strategy for hoteliers
A hotel with consistent, positive reviews on these 3 platforms will have a considerable advantage in IA responses. Aim for 4.0+ on Google, 4.0+ on TripAdvisor and 8.0+ on Booking. Always respond to negative reviews with professionalism - AIs also analyse the quality of your responses as a signal of service quality.
The weight of recent reviews
AIs give more weight to reviews from the last 3 months than to older reviews. A hotel with a rating of 4.5 based on reviews from 2024 will be less well positioned than a hotel with a rating of 4.3 based on reviews from 2026. Set up a continuous review collection process: post-stay email, QR code at reception, request at check-out.
Visible direct booking
AIs value hotels that offer a direct booking system that can be detected on their site.
GEO-compatible booking engines
A booking engine (Reservit, Cubilis, SiteMinder, D-Edge) with the right tags enables AIs to recommend direct booking rather than via an OTA. The booking button must be visible, the availability calendar accessible, and ideally the prices displayed directly on the site. AIs detect these elements and use them as a signal of digital maturity.
Content that feeds the AIs
Beyond the technical aspects, the content of your site must answer the questions that travellers ask AIs.
Recommended theme pages
- Pages by experience: romantic weekend, business trip, family, group, etc
- Local guide: district, town, nearby restaurants, transport
- Structured FAQ: parking, breakfast (included? times?), pets, late check-in, cancellation
- Seasonal blog: local events, special offers, hotel news
Multilingual content
If your clientele is international, content in English (at least) is a major GEO advantage. English-speaking AIs (ChatGPT, Perplexity) naturally exploit English content. With the appropriate hreflang tagging, your site will be recommended in the right language according to the traveller's query.
Measure your AI visibility
GEO-Auditor tests your hotel's visibility in 4 AI engines (ChatGPT, Gemini, Perplexity, Google AI Overview) with queries tailored to the hotel sector. In 30 seconds, you'll know whether AIs are recommending you - and what you need to improve as a priority to regain control of your direct distribution.