When AI recommends a Swiss hotel, it doesn't always pick the names you'd expect
Repliq measured the visibility of Swiss hotels in ChatGPT, Gemini, Perplexity and Google AI Mode. Across 1,248 measurements run in May 2026, the Observatory shows which properties surface, which sources the engines cite, and why some specialised hotels become more visible than better-known brands.
Stay categories, measured one by one
Travellers don't look for a hotel, they look for a kind of stay. Pick a destination, then a category to see which hotels AI recommends, their KPIs and the sources that cite them.
To go further: explore the full pipeline
Read from left to right. Each ribbon represents a flow of aggregated mentions across the three measurement cycles. Thickness reflects volume. Hover a node to highlight its flow.
Download the full report
In-depth analysis, eight categories broken down, full methodology and quantified counter-examples. Open data under Creative Commons licence.
Edition 1, Swiss hospitality 2026
Free PDF, Creative Commons BY 4.0 licence. Raw data tables available on request.
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Swiss restaurants, Swiss retail, professional services. Quarterly. Open data each time.
Methodology in brief
Repliq submitted 158 hospitality prompts in French, German, Italian and English to four consumer AI engines (ChatGPT, Gemini, Perplexity, Google AI Mode). Each prompt was measured over three cycles on 17, 18 and 19 May 2026.
Responses were processed by Repliq's analysis infrastructure: identification of cited hotels, extraction of source URLs, domain classification and visibility metric computation. Rankings are computed on the 1,246 retained measurements after corpus cleaning.