Live experiments on how hotels rank in ChatGPT, Gemini, and Perplexity
This is where we share sandbox experiments, prototypes, and data-driven AEO tests. Real data, real results, real learning.
A boutique hotel in Paris used as a GEO/AEO playground. How fast a hotel can rank in ChatGPT and Gemini.
Visit Hotel Ranqueepisodes
Over two days I created a website for a boutique hotel in Paris, wired it into the Google, and tracked how fast AIs picked it up. Episode 1 of the Hotel Ranque series shows how Hotel Ranque went from 0 to #1 in ChatGPT for niche trip queries in roughly 48 hours.
Read EpisodeUsing a ChatGPT app wired to Hotel Ranque, I prototype a full DIRECT-booking flow from natural-language search to room selection and confirmation, and share what this means for hotels in AI Search.
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In Episode 3 of the Hotel Ranque series, I stop thinking in “keywords” and start from prompts. I show how we rebuilt the whole site, schema and FAQs around three ultra-specific AI queries and then tracked, per model, how often Hotel Ranque became the answer.
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We wired GPT-5.2 into our HotelRank tracking stack. In three days, we’re already seeing a reshuffle in AI visibility, a big jump in how many sources the model reads, and a clear cost bump for anyone building on top of GPT-5.2.
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