There Is No Single AI Ranking for Your Hotel

Ask ChatGPT to recommend a boutique hotel in a given destination. Note the answer. Ask again an hour later, same question, same wording. In our data the number-one recommendation changes about 45% of the time, and only around six in ten of the hotels named in the first answer reappear in the second.

That is not a glitch. It is how these systems behave, and it undermines the way most hotels are being told to think about AI visibility.

These findings come from the interim phase of the Kollective Boutique Hotel AI Visibility Index, an ongoing study of how AI platforms recommend boutique hotels across 100 destinations worldwide.

So far the dataset covers 13,500 AI answers, roughly 93,000 hotel mentions and about 9,600 distinct properties. While the figures are interim and will be recomputed for the final report in September, five patterns have already proved consistent enough to be worth sharing with hotel teams.

AI rebuilds its hotel shortlist every time you ask

To test short-term stability, we ran the full query set twice on the same day.

The top hotel recommendation changed in 45% of the replies.

Meanwhile, only around six in ten hotels carried over from the first snapshot to the second.

This is not a slow ranking drift over time; the AI platforms assemble a materially different answer nearly every time they are asked. The practical question is no longer how we climb the rankings, but how we join the stable core of properties that keeps reappearing, ask after ask.

There is no single "ai visibility" for a hotel. 

Put the same question to ChatGPT, Copilot, Gemini, Google AI Overviews and Google AI Mode and they agree on the single top hotel only about 4% of the time.

Roughly seven in ten hotel names appear on just one platform. A property can be the first name on one engine and entirely absent on the next. Any tool that hands you a single AI visibility score is masking the differences that matter.

AI platforms have personalities. 

Gemini keeps the same top pick between runs about 59% of the time. Google AI Overviews sits lowest, at around 41%, and declines to produce an overview at all on roughly one in four boutique or romantic queries.

In practice, the same hotel can be a steady presence on one engine and close to a coin toss on another, so how reliably you appear needs to be judged platform by platform.

The words a guest uses to describe their experience decide the competitive set. 

We track three hotel descriptors, boutique, luxury and romantic, across 100 popular tourist destinations worldwide.

Romantic overlaps both boutique and luxury far more than boutique and luxury overlap each other.

The descriptor a guest reaches for places a hotel in a different shortlist, alongside a different set of rivals.

Boutique is where independent hotels still own the conversation.

It is in the boutique conversations where independents still hold the ground that suits them. Chain-branded hotels take only about 3% of boutique mentions, rising to 12% for romantic and 25% for luxury. The more the conversation is about character rather than category, the more it belongs to independent hotels.

The exact levels shift with how you define a chain, but the gradient does not: a consistent climb of about 1 to 3 to 6 from boutique to romantic to luxury. For an independent hotel, the boutique and romantic conversations are still overwhelmingly yours. The luxury conversation is where the chains concentrate.

Practical implications for hotels

None of this is an argument for doing nothing. It is an argument for doing something different from the standard advice.

The instinct, when a hotel does not appear in an AI answer, is a familiar one: produce more content, monitor more prompts, chase the ranking. The data points elsewhere. Three working conclusions stand out:

• Measure per platform, and more than once. A single screenshot is an unreliable snapshot of a system that reshuffles on every ask. Look across engines, and across repeated queries over time.

• Treat intent language as strategy, not decoration. Boutique, romantic and luxury are not synonyms to these systems. They open different doors, and they place you against different competitors.

• Prioritise consistency of presence over position. The durable advantage is not being first in one answer on one day. It is being part of the pool of properties that keeps reappearing, ask after ask.

The full report, with methodology and indicative datasets, publishes in early September. It will give more clarity on why some hotels sit in a stable core of recommendations while others flicker in and out.

For now, the practical shift is smaller than the noise around AI would suggest. Stop treating AI visibility as a single number to be won. Start treating it as a pattern of presence to be earned, and measured, across platforms and over time.

That is a far more realistic objective for a lean hotel team than chasing a single AI ranking that does not exist.