GEO knowledge base

Blog for hotels on AI visibility

Short, structured and AI-citable articles about how hotels can appear in ChatGPT, Gemini and Perplexity recommendations.

AI visibility8 min read

What is AI visibility, and how can a hotel appear in ChatGPT recommendations?

A practical guide for hotel teams on the signals generative AI systems use when recommending hotels, and how to turn those signals into measurable GEO tasks.

Short answer

A hotel has strong AI visibility when ChatGPT, Gemini and Perplexity mention and recommend it often, accurately and in a positive context for relevant guest-intent questions. It can be improved with prompt tracking, Share of Voice measurement, cited-source analysis and GEO content tasks.

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Cited sources7 min read

Which sources does ChatGPT use when recommending hotels?

Generative AI does not look only at the hotel website. This guide explains which sources can shape a hotel recommendation and how to strengthen them for GEO.

Short answer

ChatGPT hotel recommendations can be influenced by owned website content, structured data, review sites, OTA profiles, local tourism pages and PR mentions. From a GEO perspective, the goal is to make these sources consistently support the same recommendable positioning.

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GEO KPI6 min read

AI Share of Voice: the new KPI in hotel marketing

AI Share of Voice shows how much of the AI answer space a hotel earns compared with competitors. It can become one of the core KPIs for hotel GEO.

Short answer

AI Share of Voice measures the share of relevant AI answer mentions a hotel receives compared with competitors. A hotel that frequently appears in the top recommendations will earn a higher AI Share of Voice.

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FAQ strategy7 min read

GEO FAQ strategy for hotels: which questions should you answer?

FAQ content is not only a support tool. In GEO, well-structured question-answer content is one of the strongest ways to help AI understand when to recommend a hotel.

Short answer

A good GEO FAQ gives short, accurate answers tied to guest intent. It does not collect generic questions; it answers the decision points that can make AI recommend a hotel: location, services, audience, comparison and proof.

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