How travelers now book hotels through ChatGPT, and how to get recommended

A couple planning a long weekend in Edinburgh no longer opens five browser tabs and scrolls through Booking.com filters. They open ChatGPT and type: "Find me a cosy independent hotel in Edinburgh's Old Town, ideally with a fireplace and late checkout." The AI replies in seconds with two or three property names — and those are the only names that exist in that traveler's mind. If yours isn't one of them, the conversation is already over.

Why AI assistants skip most independent hotels without a second thought

ChatGPT, Perplexity, and Google's AI Overviews do not browse live hotel listings the way a traveller once did. They generate answers from patterns in text they have already learned — web pages, travel articles, review platforms, structured data. When a traveller asks for a recommendation, the AI reaches for whatever it can confidently describe. Properties with clear, detailed, well-structured web content get described. Properties with a thin homepage and a few photos do not.

This is the sharpest form of invisibility, because it is invisible to you. Your website may look fine to a human visitor. It still loads, the photos are nice, the booking button works. But from an AI's perspective, there is nothing specific enough to quote. No clearly written room descriptions. No stated policies. No original content that tells the AI what makes your property distinct — the century-old stone walls, the breakfast made from the farm next door, the fact that you're a ten-minute walk from the conference centre. Without that specificity, the AI cannot recommend you, because it has nothing real to say.

Third-party mentions compound the gap. When a travel blog, a local guide, or a review platform describes your property in consistent, specific language, those signals reinforce the AI's confidence in naming you. Independent hoteliers who rely entirely on OTA listings — where Booking.com controls the copy — hand that narrative to a platform that has no interest in making your property stand out from the next one.

What actually makes an AI assistant recommend your property

The good news is that this is not a paid-media problem. You cannot buy your way into a ChatGPT answer. Ads, OTA commission, sponsored listings — none of these touch AI recommendations. What the AI looks for is content it can trust and reuse: specific, human descriptions of what your property is, who it suits, and why it is the right choice for a particular kind of trip.

Concretely, that means a website that names things clearly. Not "comfortable rooms with modern amenities" — that could be any of 40,000 hotels. Instead: "Our six rooms overlook the inner courtyard; the smallest sleeps two comfortably, the largest has a freestanding bath and is booked months ahead in autumn." It means an FAQ that answers the questions real travellers ask — parking, check-in flexibility, whether you take children, what the nearest train station is. It means structured data (schema.org Hotel markup) so that search engines and AI systems can parse your location, star rating, and policies without guessing. And it means earning a handful of specific, descriptive mentions on third-party sites — a local tourism board, a travel journalist's round-up, a food blog that reviewed your breakfast.

None of this requires a technical background or a marketing agency. It requires content that treats the reader — human or AI — as someone who deserves a straight answer. Google has said for years that helpful, specific, original content influences visibility more than any single technical trick. That principle applies even more sharply to AI assistants, which have no patience for vague.

Why you should check your current AI visibility before doing anything else

Most independent hoteliers we speak with assume that because their website exists and ranks reasonably well on Google, they are in reasonable shape. The honest answer is that AI visibility is a separate test, and most properties fail it quietly.

The questions worth asking are: Can an AI assistant find enough specific information on your website to describe your property confidently? Is your content structured in a way that allows a machine to extract your location, your room types, your policies? Are there any third-party sources that name and describe your property in consistent language?

Domani's free website analyzer runs exactly these checks — it looks at your site through the same lens that AI systems use and surfaces the specific gaps that make properties invisible to ChatGPT and Perplexity. No agency retainer, no lengthy audit document. You get a clear picture of where you stand and what to fix first. It takes a few minutes, and it costs nothing.

The concrete next step: find out whether ChatGPT can even see your hotel today

The worst outcome is spending a quiet winter improving your website based on intuition, while the actual problem — a lack of structured, specific, AI-readable content — goes untouched. The starting point is knowing exactly what an AI assistant sees when it encounters your property online.

Run the free Domani analyzer on your hotel's website. It will tell you plainly whether your content is specific enough to earn a recommendation, whether your structured data is in place, and where the most valuable improvements are. From there, the path to appearing in ChatGPT's answers is a content and structure problem — the kind that has a real solution, not a recurring monthly fee.