In today's hospitality landscape, industry professionals increasingly emphasise the importance of direct bookings and digital visibility. But in an era where AI assistants like ChatGPT and Google's Gemini already plan trips and suggest accommodation options on behalf of travellers, one key question arises: can artificial intelligence even find and recognise your hotel online?
Our latest research, based on an in-depth analysis of over 1,500 hotel and accommodation websites across Germany, Austria, Switzerland, Slovenia, and Croatia, reveals an alarming reality: 88% of these websites are not technically prepared for AI. In simpler terms, AI systems do not see your official site. They do not know who you are, where you are, or what you offer — so they cannot recommend you.
This digital oversight comes at a high price. Hotels globally pay between €40 and €75 billion annually in commissions to online travel agencies (OTAs). A significant portion of that cost could be reduced if hotels were more AI-ready. Our findings show that part of the OTA dependency problem stems directly from the lack of technical preparedness and poor digital autonomy. Hotels, unintentionally, are undermining their own direct booking potential — not because OTAs force them to, but because their own websites are not structured in a way AI systems can understand or prioritise.
Core Technical Gaps: Schema Markup, Meta Descriptions, and Open Graph
Our audit uncovered several fundamental technical shortcomings that directly impact visibility in both search engines and AI systems.
**Missing structured data (Schema Markup).** This machine-readable identifier is missing from 88% of websites. Without it, AI tools cannot determine that a page represents a specific hotel. Your identity as a provider remains invisible to the algorithms that sift through and summarise content for travellers.
**Weak or absent meta descriptions.** Around 60% of websites lack meta descriptions, leading to bland or irrelevant snippets in search results. Without compelling summaries, click-through rates drop and visibility suffers before a traveller ever reaches your site.
**Incomplete Open Graph tags.** Between 40% and 50% of websites do not provide Open Graph titles, descriptions, or images. This results in poor link previews when content is shared on social platforms, diminishing reach and engagement.
These may appear to be minor SEO tasks, but together they define your digital storefront. Right now, most accommodation providers in Central and Southeastern Europe are effectively greeting potential guests with a blank sign on the door.
In Croatia, the situation is particularly severe: only 39.5% of hotel websites use meta descriptions, compared to over 60% in Austria and Switzerland. Croatian hoteliers lose the opportunity to shape how they appear to both traditional search engines and emerging AI-powered platforms.
AI and the Invisibility Problem
When key information is not machine-readable, you disappear from the digital map. The analogy is instructive: in the world of AI, Schema Markup is the dress code for a high-profile event. Clear, structured signals tell AI tools who you are and what you offer. Without them, AI agents like ChatGPT and Gemini are left guessing — and they will often skip you entirely.
According to our findings, 30–50% of hotel-related content is currently invisible to AI tools. This varies by country, hotel category, and micro-location. Vast amounts of legitimate hospitality information simply never reach the digital assistants that travellers increasingly rely on to plan their trips.
Meanwhile, AI assistants lean heavily on dominant platforms — especially OTAs. Booking.com appears in at least 67% of ChatGPT answers and in over half of Gemini's results. Independent hotel websites are rarely cited directly. Over half of all hotels analysed were mentioned only once across thousands of AI-generated responses. The average AI answer cites just 7–8 sources. If you are not among them, AI assumes you do not exist.
This means OTA platforms increasingly shape how AI describes your hotel — even when a guest is not specifically looking for an intermediary. Hotels that ignore these technical foundations risk falling into what we call "digital underground": an online limbo where your website exists but AI cannot understand or recommend it.
This is not merely a technology issue. It is a strategic problem. In today's landscape, visibility is no longer dictated by advertising budgets, but by algorithms.
Reclaiming Digital Autonomy
The good news is that the fixes are not complex. But they require a return to digital basics and a genuine commitment to reclaiming control of your online identity.
**Step one: Fix first impressions.** Add Open Graph images, titles, and descriptions so your content displays correctly and attractively in social media and search results.
**Step two: Speak the language of machines.** Implement Schema.org markup to make your website understandable to AI. Clearly identify your hotel's name, address, contact information, star rating, and amenities in structured data.
**Step three: Optimise your core pages.** AI systems are most likely to cite location pages, contact details, room descriptions, cancellation policies, and food and beverage information. These pages should be the priority for structured data implementation.
Every hour spent improving your site's technical readiness can save thousands of euros in OTA commissions — and help you regain control of how your hotel is represented to the travellers who are increasingly letting AI choose for them.