Poor Hotel Data Is Killing Direct Bookings. C.U.P.S. Can Fix It

Daniel Doppler opens with a simple experiment — ask an AI to recommend a hotel in your city — and uses the almost universally disappointing results to make a pointed argument: most hotels are invisible to AI not because of anything the technology does wrong, but because their own data is too fragmented, inconsistent, and unstructured for a machine to trust.

Daniel C. Doppler

For months, I’ve been running the same experiment with hotel managers around the world. I ask: “Have you ever tried asking ChatGPT or Gemini to recommend a hotel in your city?” Almost no one has. So I say: “Try it. Now.”

The result is almost always the same. The AI returns three or four hotels. Theirs isn’t on the list. Or if it is, the price is wrong, it mentions a spa that closed two years ago, or it lists outdated restaurant hours. Almost all hotels have a beautiful website, hundreds of blog posts, and great reviews, but to anyone searching through ChatGPT, Gemini, or Perplexity, it might as well not exist.

Read the full article on hotelyearbook.com

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Entrepreneur in the information technology and artificial intelligence for the hospitality and travel industry.  

Quinta (formerly Quicktext) was founded in 2017 by Daniel C. Doppler and Benjamin Devisme and has since become a global leader in AI-driven hotel data processing. The company serves 1,900 hotels across 76 countries and, over the past 12 months, generated $1.05 billion in leads for its hotel customers.