Earlier this September, during our SOCIETIES event at La Fantaisie in Paris, I noticed a shift in the conversation with the audience.
The hotel executives in the room were no longer asking whether artificial intelligence would affect their business. They wanted to know what they should actually do about it.
Imagine a guest asking ChatGPT for a quiet hotel in Paris for an anniversary weekend. Before a hotel website has even loaded, the AI may already know the dates, the budget, who is travelling, the occasion and the kind of experience they are looking for.
It understands the guest remarkably well.
The more uncomfortable question is whether it understands your hotel well enough to recommend it.
That matters because the decision-making journey is already shifting. Phocuswright reported in March 2026 that 56% of American travellers had used AI to plan or book travel during the previous twelve months, compared with 33% a year earlier. At the same time, more search journeys are ending without a traditional website click.
The hotel website is not disappearing. But increasingly, it is no longer where the first decision gets made.
The decision is moving before the hotel website
For years, being found meant ranking well enough to earn the click.
AI compresses part of that journey.
Ask a model for a boutique hotel near the Marais with a good spa, quiet rooms and somewhere suitable for an anniversary, and the traveller may receive a shortlist before visiting a single hotel website.
That changes the role of visibility.
Ranking still matters, but being discoverable now also means being sufficiently clear, consistent and credible for an AI system to include you in an answer.
The more useful question for a hotel is therefore simple:__ if a machine had to explain exactly what makes your property relevant to a particular guest, would it have enough reliable information to do so?__
An AI cannot recommend what it cannot understand
Hotels are complex entities online.
Your website may describe one set of facilities. Google Business may contain slightly different opening hours. An OTA may still show older information. A review or article may refer to a previous version of the property.
A person can often resolve those contradictions. A machine has to decide which information it trusts.
This makes consistency one of the least glamorous but most important parts of AI visibility. Room categories, amenities, restaurant hours, spa access, cancellation policies and other essential facts should tell the same story everywhere they appear.
Structured data helps. Schema.org markup gives machines a clearer description of the hotel, its rooms, location, amenities and other key information.
The same principle applies to the questions guests repeatedly ask. Can children use the spa? How far is the hotel from the station? Are connecting rooms available? These are exactly the kinds of questions travellers ask AI systems, which makes factual, well-structured answers increasingly valuable.
There is also a second layer hotels control less directly: what the rest of the web says about them.
Press coverage, guides, reviews and other independent references contribute to the wider picture. For a high-end property, that matters because positioning is rarely captured by a list of amenities alone.
If your identity is built around gastronomy, architecture, wellness, art or a particular relationship with the destination, that story needs to exist beyond your own website.
Visibility now needs a different kind of measurement
For years, hotel marketing teams have tracked rankings, traffic, paid search and conversion.
I would add another layer.
Take a set of real questions a potential guest might ask about your destination and hotel category, then test them regularly across the major AI platforms.
The objective is not to produce another complicated dashboard. It is to understand three things: whether your hotel appears, which sources influence the answer, and whether the information returned is accurate.
If competitors are consistently mentioned and you are not, that tells you something.
If the same guide or media article repeatedly shapes the answer, that tells you where authority is being built.
If the AI keeps getting your spa hours or room configuration wrong, that usually points to an inconsistency somewhere in your digital footprint.
This is less a new SEO report than a new way to audit how your hotel is being understood.
The guest arrives with context already attached
Suppose the AI does recommend you.
The guest clicks.
And then your website forgets everything that made the recommendation relevant.
A traveller who has spent ten minutes discussing a wellness weekend with an AI may arrive on the same homepage as a business traveller or a family of four.
That is where personalization becomes much more interesting.
If the visitor arrives after asking about the spa, the spa can become the first thing they see. If they are exploring a romantic weekend, the editorial hierarchy, photography and offer can reflect that intent.
The rooms have not changed.
The story around them has.
We cited an average 13% improvement in booking-engine conversion for personalized landing pages during our SOCIETIES presentation. The exact uplift will vary by property and implementation, but the principle is more important than the benchmark: the more context we know about a visitor, the less reason there is to send every visitor through the same generic journey.
For luxury hospitality, personalization should not feel like e-commerce optimization.
It should feel closer to what a good concierge does: understand why someone has arrived, then quietly bring the most relevant part of the experience forward.
AI changes the economics of hotel content
There is an obvious consequence.
The more relevant each journey becomes, the more creative variations a hotel needs.
Different audiences, seasons, offers and channels all require different combinations of written content, visuals and format. Traditional production workflows were not designed for that volume.
This is where I see one of the most practical uses of generative AI in hospitality today.
At Influence Society, we start with the hotel's real photography, visual identity and brand guidelines. The AI Studio can then extend that existing material into different seasons, formats, atmospheres or carefully directed lifestyle situations.
The crucial part remains human.
Art direction sits between generation and publication. Someone selects, retouches, challenges and approves what actually represents the property.
AI does not replace the photographer. It increases what the hotel can produce from the photography it has already invested in.
For high-end hospitality, that distinction matters. The objective is not maximum generation. It is more relevant creative output without diluting the visual identity.
The hotel website is becoming less static
Until recently, creating a dedicated landing page for one audience could mean briefing an agency, preparing copy and imagery, involving a developer and waiting through several rounds of revisions.
That made personalization difficult to scale.
Modern CMS platforms and AI agents are shortening that cycle.
A hotel team can now describe a page in simple terms, such as a spa offer for German-speaking Swiss guests in November, and use an AI agent connected to the CMS to assist with the structure, copy, visual assets and SEO while remaining inside the hotel’s existing design system.
Platforms such as Webflow can then test and adapt variants according to factors such as traffic source, location or behaviour.
The interesting part is not the underlying protocol.
What matters is what it changes operationally: creating a contextualized digital experience no longer has to become another mini website project.
The website starts behaving less like a finished brochure and more like an adaptable layer between demand and the hotel.
The next competitive advantage may be clarity
If an AI already understands what your next guest wants, how well does it understand why your hotel should be the answer?
At Influence Society, we audit how properties appear across the main AI platforms, what information is being surfaced, which sources are shaping the answers and where inconsistencies may be limiting visibility.
If you want to evaluate how your hotel currently appears through the eyes of AI, you can book an AI visibility audit with our team.
To help your team create distinctive photography and video that stay true to your property and your brand, explore Influence Society’s AI Studio.