Hotel Snapshot
Olympia Hotel is a spa hotel in Mariánské Lázně (Marienbad), one of Czechia's historic spa towns, where the local hotel market is built almost entirely around wellness and treatment stays rather than general city tourism. It's a useful — if sobering — example because it's the one hotel in this set with a complete, across-the-board absence from AI answers, making it the clearest illustration of what "starting from zero" actually looks like in real data.
The Challenge
Spa travelers increasingly research destinations and properties through conversational AI before ever reaching a booking site, especially for a considered purchase like a multi-night wellness stay. Olympia had no visibility into whether it was part of that conversation at all, in a market where the answer turned out to be a flat no across every engine tested.
What We Found
Across 299 real, non-branded questions about hotels in Mariánské Lázně, Olympia Hotel was mentioned zero times. Not on ChatGPT. Not on Gemini. Not on Claude. Not on Perplexity. Not on Google AI Overviews. Direct, destination-specific questions like "what are the best hotels in Marienbad?" and "which hotels in Mariánské Lázně are good for a spa getaway?" — questions Olympia should be a strong, obvious answer to — produced no mention of the hotel on any engine, in any check.
Engine-by-Engine Breakdown
The table below shows Olympia's detection rate on each engine — the honest read is the same across all five: ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews all returned 0% detection.
| AI engine | Detected | Detection rate |
|---|---|---|
| ChatGPT | 0 of 60 | 0% |
| Gemini | 0 of 60 | 0% |
| Claude | 0 of 60 | 0% |
| Perplexity | 0 of 60 | 0% |
| Google AI Overviews | 0 of 59 | 0% |
Who's Getting Cited Instead
In Olympia's place, AI engines cited Booking.com and local tourism directories like marianskelazne.cz and marianske-lazne.info — a similar pattern to the Prague hotels. But one result stands out: a competing spa hotel brand, Falkensteiner, was cited by name in the same answers where Olympia should plausibly have appeared. In a small, specialized destination like a spa town, AI engines don't just default to booking platforms — they can actively surface a named competitor instead of the hotel that should be the answer.
The Pattern This Reveals
Olympia's result sits at one extreme of a pattern that runs through nearly every hotel in this set. Golden Well and Mosaic House also scored 0% on Google AI Overviews for generic questions — Olympia's result is the same story, just extended across every engine rather than one. (Only Bouda Mama, on a much smaller panel, got a single AI Overviews mention out of 12 checks — the one exception in this data set.) All four hotels' overall detection rates still cluster between 0% and 12.5%; Olympia is the floor of that range. And Olympia also has the lowest technical readiness score among the audited hotels (58.62%), which is directionally consistent with its result — though Golden Well's higher readiness score without a correspondingly higher detection rate shows readiness alone still isn't the full explanation. What's most notable here is destination-specific: in a smaller, specialized market, low AI visibility isn't just "traffic to a booking platform instead of you" — it can mean a named competitor stepping into the answer instead.
What This Means For Your Hotel
A true zero across every AI engine is the most extreme version of a risk every independent hotel in this data set is exposed to in some form. If you're in a smaller or more specialized destination, the stakes are arguably higher — the AI engine has fewer "safe default" answers, which means it's more likely to name a specific competitor in your place, not just a generic platform. The only way to know where you actually stand is to check. Run a free check on your hotel to see your real numbers, engine by engine.