Repliq Observatory · Q2 2026

Swiss hospitality, seen by AI engines

Which hotels do AI engines recommend to travellers? Where do they source their information? This page makes public, in open data, the full measurement pipeline run by Repliq on Swiss hospitality in spring 2026, from the initial prompt down to the type of content cited. A transparent methodological approach, designed as a common good for the sector.

1,248
measurements
4
AI engines
4
destinations
3,539
hotels detected

The measurement pipeline, from prompt to cited source

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.

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Raw data (CSV) available on request :

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Methodology in brief

Repliq submitted 158 hospitality prompts in French, German, Italian and English to the four major consumer AI engines. Each prompt was run three times (17, 18 and 19 May 2026) to measure response volatility over time.

Generated responses were processed by our extraction engine: identification of cited properties, extraction of source URLs, classification of domains into thirteen categories (specialized guides, Wikipedia, OTAs, hotel sites, press, etc.).

All rankings are computed on the 1,246 retained measurements. Full methodology is documented in the PDF report.

Swiss Hospitality AI Observatory · Repliq | Repliq