LLMs.txt: the invisible innovation in a hotel sector undergoing an AI revolution

Only 6.3% of hotels worldwide have adopted an LLMs.txt file. A key innovation for AI visibility in tools like ChatGPT or Gemini remains largely ignored.

In 2026, artificial intelligence in tourism is on everyone’s lips. Hotels are investing heavily in AI tools. Yet a key innovation for visibility in AI search engines remains largely unknown: the LLMs.txt file.

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An adoption attempt falling short

The analysis covers more than 100,000 hotel websites worldwide. The verdict: barely 6.3% of them have integrated an LLMs.txt file.

LLMs.txt adoption chart - 6.3% of hotels worldwide

In France, the lag is even more pronounced, with a rate below 4%. More concerning, a significant share of implementations turn out to be incorrect, a sign of still-unclear understanding of the tool.

This gap raises questions. At the same time, AI is establishing itself as a major strategic lever for the sector.

AI, absolute priority... but elsewhere

Hotels are multiplying investments in AI technologies:

However, these efforts focus mainly on user experience and operational performance, at the expense of visibility in conversational engines like ChatGPT, Gemini or other LLMs.

What is the LLMs.txt file?

The LLMs.txt file is designed to guide AI models in how they read web content. It is still seen as secondary or experimental, partly due to the absence of an official standard unlike robots.txt.

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A deeper transformation underway

Beyond this tool, the entire search logic is evolving. Traditional queries like "hotel + destination" are gradually giving way to conversational searches. Users address AI assistants directly with precise, contextualised requests.

In this new paradigm:

Classic SEO visibility is no longer enough. It must now adapt to the logic of language models (LLMs).

Galdeo, towards a new way of writing for the AI era

This is the context in which solutions like Galdeo operate. The platform proposes a different approach to digital content creation for tourism: producing structured, narrative and interconnected content designed for both SEO and AI.

Rather than focusing solely on technical optimisations like tags or robots files, Galdeo prioritises:

A strategy particularly suited to the requirements of generative AI models, which favour clear, well-structured and contextualised content.

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