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Book . 2026
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Book . 2026
License: CC BY
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Book . 2026
License: CC BY
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Book . 2026
License: CC BY
Data sources: Datacite
ZENODO
Book . 2026
License: CC BY
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Be Visible to AI: The Keys to Semantic Optimization and GEO (Generative Engine Optimization) for Hotels

Focus on advanced structured data strategies
Authors: Schegg, Roland; Morand, Jean-Claude;

Be Visible to AI: The Keys to Semantic Optimization and GEO (Generative Engine Optimization) for Hotels

Abstract

Search engines and booking platforms are no longer the only intermediaries between hotels and their customers. Artificial intelligence-based assistants – ChatGPT, Google AI, Gemini, Perplexity and even OTA chatbots – are profoundly transforming the way travellers search for, compare and choose accommodation. In this new ecosystem, being well ranked is no longer enough: you need to be understood by AI. This is precisely the challenge addressed by our new white paper, ‘Become visible to AI – The keys to semantic optimisation and GEO for hotels’, aimed at hoteliers, destinations and tourism stakeholders. From SEO to GEO: why the rules of the game are changing For years, online visibility relied mainly on traditional SEO: keywords, inbound links, positioning in Google results. Today, generative response engines work differently. They no longer list dozens of links, but directly offer a few recommendations – often three to five hotels – in response to a request made in natural language. This change marks the transition from Search Engine Optimisation (SEO) to Generative Engine Optimisation (GEO). To be selected by AI, a hotel must be able to provide clear, structured, consistent and verifiable information from multiple sources (website, OTA, Google Business Profile, SIT, platform, etc.).

Related Organizations
Keywords

LLM, SEO, Artificial intelligence, website, generative engine optimisation, GEO

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green