hoteltech.news September 18, 2026
Artificial Intelligence1 min read

MEININGER asked 5 AIs where to holiday. Heidelberg and Rome won

Voice reading · ~2 min

MEININGER Hotels ran an experiment that says more about how travellers now plan trips than about the destinations themselves. They asked five AI models, ChatGPT, Claude, Gemini, Microsoft Copilot and Perplexity, to score 100 popular destinations in Germany and another 100 across Europe, plus each place's biggest annual event. Heidelberg came out on top in Germany and Rome led Europe, both with 94.4 out of 100, as reported by Hotel News Resource.

What strikes me is the timing. A growing share of guests now ask an assistant before they ever open a booking engine, so whatever these models say about a city becomes part of that city's funnel whether the local hoteliers like it or not. The interesting bit is that the criteria the AIs leaned on, big annual events and general popularity, are exactly the levers a destination marketer can actually pull. Feed the models with your festival calendar, your shoulder-season stories, your F&B scene. That is a distribution channel now, and it lives outside the OTA.

My read: hotels and DMOs should start treating AI assistants as a channel to be fed, not a black box to complain about. Curate what they see, and you shape what they recommend.

Quick questions

Which destinations did the MEININGER Hotels AI ranking pick as winners?
Heidelberg ranked first in Germany and Rome led the European list, both scoring 94.4 out of 100 in the study run by MEININGER Hotels across 200 destinations.
Which AI models did MEININGER Hotels use for the destination ranking?
MEININGER asked ChatGPT, Claude, Gemini, Microsoft Copilot and Perplexity to rate the destinations and their biggest annual events.
Why should hoteliers care about how AI models rate destinations?
Travellers increasingly ask assistants before booking, so what models say about a city or hotel shapes demand. Feeding them accurate events and seasonal info is a real marketing lever.
What did the AI models weigh most when scoring destinations?
According to the MEININGER Hotels analysis, the biggest annual event of each place carried real weight, alongside general popularity across the 100 German and 100 European destinations.
Can a hotel or DMO influence what AI assistants recommend about a destination?
Yes, in practice. Publishing structured, up-to-date info on events, seasons and local offers gives the models something concrete to pick up and repeat to travellers.

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