The latest in AI & how it affects the hospitality industry

Just read about a recent study by LuxDirect. They had researchers run 2,700 structured queries across 25 London-based luxury hotels on six of the big LLM platforms: ChatGPT, Gemini, Perplexity, Claude, and others. They wanted to know: when someone asks AI where to stay, which property does it recommend?
Their results showed that five hotels captured 57% of all recommendations. A 26-room independent outperformed a 174-room chain.
Let that marinate for a sec.
This isn’t about which hotels had the best amenities or the most impressive square footage. It’s not about who spent the most on digital advertising. The researchers found that AI recommendation patterns are driven by structured data quality and editorial citation patterns, which is a technical way of saying the algorithm is reading how clearly and consistently a hotel tells its own story.
The 26-room independent didn’t win because it was more aggressive. It won because it was more coherent.
This Is Not New. It Just Has New Evidence.
There’s a mountain resort in Switzerland called LAAX (the same one that hosted Eileen Gu & Shaun White at The Snow League). Reto Gurtner has been running it for decades, and in a recent conversation, he described the moment he knew he’d built something real:
“When people started saying ‘let’s go to LAAX’ instead of ‘let’s go skiing’ – that’s when we knew LAAX had become more than just a resort. It was a mindset.”*
That transition (from destination to identity) didn’t happen because of a rebrand campaign. Gurtner built it through relentless narrative consistency. Three words, always: freedom, creativity, community. Everything else – the architecture, the music, the events, the visuals – was in service of those three words.
He said something else that stuck with me: “A lot of resorts start with slogans – ‘220 kilometers of slopes,’ ‘30 lifts’ – instead of starting with soul. If you want to do everything for everyone, you end up doing nothing for no one.”*
LAAX is exactly the kind of property AI would recommend; not because Gurtner optimized for it, but because he built an identity so coherent that every piece of content, every editorial mention, every structured data point reinforces the same story.
That’s what the AI is reading – narrative.
The Distribution Layer Changed. Few Hotels Have Noticed.
The London study is significant beyond the numbers because it reveals that the shift from Google to AI-native discovery isn’t just a technical change; it’s a values change in how demand is routed.
Google rewarded spend and SEO optimization. AI platforms reward clarity, coherence, and editorial credibility. The study noted that Google AI Mode is actually routing consumers toward OTAs rather than direct booking, which means that hotels that relied on Google dominance are now losing ground at the platform level, too.
But the 26-room independent that beat out the chain? It didn’t lose because it wasn’t playing the spend-and-dominate game in the first place
– Many independents/boutiques don’t do any paid media –
It was building something that made editorial publications want to cite it, that made structured data easy to read, that made every brand touchpoint tell the same story.
This is what I mean when I talk about owned demand. Not just the idea that your audience should follow you instead of a platform, but also the structural reality that when you build real narrative infrastructure, the platform shifts don’t matter as much because the story travels.
What This Means for Independent and Boutique Properties
SOCIETIES Magazine put it simply in their 2026 edition: “The future of luxury belongs to those who treat hospitality as a creative act, not a commodity.”*
For boutique and independent properties, this is great news if they’re willing to lean into it. The AI recommendations study shows that the competitive gap isn’t about budget, but rather about identity clarity. And identity clarity is something a founder-led, 26-room hotel can have in a way that a 174-room chain operating off corporate brand templates often can’t.
The questions that matter now:
When someone asks AI where to stay in your market, do you have enough editorial presence to be cited?
Is your structured data telling a coherent story, or is just it a checklist of features?
Is your narrative specific enough that the algorithm, and the traveler, understands who you’re serving?
The hotels winning with AI aren’t just winning on AI. They’re winning because they built something real. And the algorithm, for once, seems to agree.
Extra
Reto Gurtner said LAAX’s vision was always there, but that it evolved. “Over time, it became clear – a living ecosystem where tourism, nature, and innovation work together.”*
That’s the thing about owned demand–it’s not a campaign you run, but rather a world you build. You build it slowly, consistently, and with conviction.
The algorithm will keep changing; it always will. The brands that built worlds? They’re the ones that will keep getting recommended.
*Sources: “Five London Hotels Capture 57% of AI Recommendations” – HN Original / LuxDirect (March 2026); Alpine Visionary Podcast - Reto Gurtner, Hospitality Net; “Design-Led Independents Are Redefining What Luxury Feels Like” – SOCIETIES Magazine 2026 Edition*