ChatGPT, Gemini, Perplexity: How Each AI Tool Recommends Hotels Differently

89% of consumers say they want to use AI for future travel planning (Booking.com Global AI Sentiment Report, July 2025). That demand is already translating into real behavior. Travelers are asking AI tools for hotel recommendations before they ever open an OTA or type a query into Google.

Here is what most hotels do not realize. How AI recommends hotels varies significantly between platforms. ChatGPT, Gemini, and Perplexity each use different data sources, different recommendation logic, and different presentation formats. A hotel that is visible on one platform may be completely absent on another.

Understanding these differences is the starting point for any effective GEO strategy.

ChatGPT generates hotel recommendations by synthesizing information from its training data and, when web browsing is enabled, from live web searches. Its recommendations tend to favor properties with strong entity signals: consistent mentions across multiple authoritative sources, detailed descriptions on the hotel's own website, and presence in curated travel content.

ChatGPT's responses are conversational and descriptive. It typically lists three to five properties with a short paragraph about each, highlighting what makes the property distinctive. Sources are not always cited, though newer versions increasingly include links.

For hotels, the takeaway is this: ChatGPT rewards properties that have rich, descriptive content across their own website and third-party sources. Properties that rely solely on OTA listings for their online presence are at a disadvantage because ChatGPT pulls from a broader content landscape.

Google Gemini (and Google AI Overviews) has a significant advantage: direct access to Google's search index, knowledge graph, and Google Maps data. Its hotel recommendations are often informed by Google Business Profile data, Google reviews, and the same ranking signals that power traditional Google search.

Gemini's recommendations tend to be more structured and data-driven. It may include star ratings, price ranges, and location context pulled directly from Google's databases. For hotels, this means your Google Business Profile optimization directly influences how Gemini presents your property.

The takeaway for hotels: Gemini rewards properties with strong Google-specific signals, including complete GBP profiles, fresh Google reviews, and structured data that feeds the knowledge graph. Traditional SEO work directly benefits your Gemini visibility.

Perplexity is the most source-transparent AI search tool. Every recommendation includes cited sources, making it clear where the information comes from. Perplexity pulls heavily from travel publications, review sites, blog content, and hotel websites, and it always shows its work.

For hotels, Perplexity represents a unique opportunity. Because it cites sources, your content can generate both visibility and referral traffic. A hotel blog post or a feature in a travel publication that Perplexity cites sends readers directly to the source URL.

The takeaway: Perplexity rewards properties with strong presence in citable content, including travel blog mentions, "best of" roundup articles, detailed property reviews, and rich website content. Getting featured in authoritative travel publications directly improves your Perplexity visibility.

What Should Hotels Do Differently for Each Platform?

The core GEO strategy is the same across all platforms: structured data, entity authority, conversational content, and broad off-site presence. But there are tactical adjustments worth making.

For ChatGPT: focus on rich website content and consistent entity mentions across authoritative third-party sources.

For Gemini: prioritize Google Business Profile completeness, Google review volume, and structured data implementation.

For Perplexity: pursue inclusion in travel publications, "best of" lists, and authoritative review content that Perplexity is likely to cite.

The hotels that appear consistently across all three platforms are the ones with the strongest overall digital presence, not the ones gaming any single platform. That is the practical answer to how AI recommends hotels in the real world.

Frequently Asked Questions

Which AI tool sends the most booking traffic to hotels right now?

Google AI Overviews has the largest reach because it is integrated directly into Google search. ChatGPT has the most active user base for conversational travel planning. Perplexity is smaller but growing fast among research-oriented travelers. The safest strategy is optimizing for all three rather than betting on one.

Can I control how AI tools describe my hotel?

Not directly. But you can heavily influence it by ensuring your own website has clear, detailed, and accurate property descriptions. AI tools pull from your content. If your website says "beachfront boutique hotel with rooftop pool and spa," that is the language AI will use. If your website is vague, AI will fill in the gaps from whatever sources it finds, which may not be accurate.

How often should I test my hotel's AI visibility?

Every month. Run your target queries across ChatGPT, Gemini, and Perplexity. Track whether your property appears, how it is described, and which sources are cited. Over time, you will see the impact of your GEO efforts and identify gaps to address.

Each AI platform discovers and recommends hotels differently. The properties that understand those differences and optimize for all three build a visibility advantage that compounds as AI-driven travel planning becomes the norm. Start testing today, and let the results guide your strategy.

Sources

Booking.com, Global AI Sentiment Report, July 2025

HotelWorld AI and Bain & Company, AI in Travel Planning, February 2026