AI visibility for hotels is quickly becoming a new commercial consideration. For years, hotels have invested in SEO to make sure guests can find them when searching online. But what happens when guests stop searching and start asking?
Instead of typing:
Hotel Amsterdam city centre
a traveller might ask:
Which hotel in Amsterdam would you recommend for a family weekend, close to the main attractions but away from the busiest tourist areas?
The difference may appear small, but commercially it is significant.
The first guest receives a list of search results.
The second asks for a recommendation.
And increasingly, an AI platform may decide which hotels are included in that recommendation.
As travellers move from traditional search towards AI-powered recommendations, hotels need to think differently about digital visibility.
In this article, we look at:
SEO has traditionally focused on helping search engines understand and rank your website.
That is not disappearing. Search engines, OTAs, maps and hotel websites will continue to play important roles in the booking journey.
But another layer is being added.
AI-powered platforms interpret information from multiple sources and use it to answer increasingly complex questions. As Bas van Tienhoven of Web It Up discussed at Global Revenue Forum Amsterdam, guest discovery is gradually moving from searching to asking.
For hotels, that creates a new question:
Does the digital world contain enough clear and trustworthy information about your hotel for AI to understand when it should recommend you?
Imagine two hotels.
Both have 150 rooms. Both have a restaurant, meeting facilities and a gym. Both are located within roughly the same distance of the city centre.
On paper, they may look remarkably similar.
But guests rarely make decisions based on a checklist alone.
One may be particularly suitable for families. The other may have become popular with business travellers because of its location and efficient meeting facilities. One might have an exceptional restaurant that attracts local guests. Another may be the ideal base for someone who wants to explore the destination on foot.
Those distinctions are part of the hotel's value proposition.
If they are not clearly communicated online, however, how should an AI platform know?
This is where the subject becomes bigger than SEO.
A hotel's digital presence is often spread across its own website, Google profile, OTAs, reviews, destination websites, social media, articles and other platforms.
Historically, different departments may have looked after different pieces of that ecosystem.
Marketing manages the website and content.
Revenue Management manages rates, availability and distribution.
Sales communicates the hotel to corporate and group customers.
Operations creates much of the guest experience that eventually appears in reviews.
But from the guest's perspective, there is only one hotel.
And AI does not necessarily respect our organisational silos either.
That makes AI visibility for hotels a commercial responsibility, not simply a marketing exercise.
There is a useful exercise commercial teams can do without buying another system.
Ask the questions your potential guests might ask.
Not only:
What are the best hotels in Stockholm?
Try something more specific:
Where should I stay in Stockholm if I am travelling with children?
Which hotel would you recommend for a management meeting for 20 people?
Where should I stay if good restaurants and walkability are more important to me than being next to the central station?
Which hotel is suitable for a traveller who wants a quiet room but easy access to the city?
Then look at the answers.
Which hotels appear?
More importantly:
Why are they being recommended?
You may learn something about your competitors.
But you may also learn something about how clearly your own hotel is positioned online.
The answer is not to replace your SEO strategy with an "AI strategy".
The fundamentals still matter.
Your website needs clear information. Your content needs to answer genuine guest questions. Information about the property needs to be accurate and consistent. Your hotel needs authority and credibility across its digital presence.
At Global Revenue Forum Amsterdam, Web It Up summarised the evolving discovery journey as:
Searching → Asking → AI Interpretation → Recommendation → Booking Decision.
That is a useful framework because it demonstrates that the booking decision may increasingly be influenced before a guest ever visits your website.
For many years, hotels have asked:
Can guests find us?
That question remains important.
But perhaps commercial teams should add another one:
Does AI understand us well enough to recommend us?
Because in a world where travellers increasingly ask for answers rather than browse through lists of results, being available may not be enough.
Being findable may not be enough either.
You need to be understandable.
Hotel discovery is evolving, but the fundamentals have not disappeared. Strong SEO, accurate information and relevant content still matter.
What is changing is how that information may be interpreted and used. As travellers increasingly ask AI platforms for recommendations, hotels need to think beyond ranking in search results.
The commercial question is no longer only whether guests can find your hotel. It is whether AI understands your hotel well enough to recommend it.
That requires Revenue Management, marketing, sales and operations to look at the hotel's digital presence as one connected commercial ecosystem.
At Global Revenue Forum Amsterdam, Bas van Tienhoven, Founder and Owner of Web It Up, explored how guest discovery is changing in the AI era and what this means for hotel marketers, commercial leaders and website teams.
Download the latest GRF Insights White Paper: From Searching to Asking – How Guest Discovery Is Changing in the AI Era to explore the topic further.
