How Restaurants and Hotels Get Recommended by AI

The short answer: you get recommended by AI the same way you get recommended by a well-connected local friend, by earning a reputation that other trustworthy sources vouch for, then keeping the facts about your business consistent everywhere someone, or something, might look. There is no setting to flip and no keyword to buy. What follows is the practical version of that answer, built specifically for restaurants and hotels.

AI answers intercept the decision before the click happens

When a traveler asks an AI tool where to eat or stay, the AI is not guessing. It is summarizing what credible sources already say, and it is increasingly the only answer the person sees. Pew Research Center found that when a Google AI summary appears, people click through to a website in just 8 percent of visits, compared with 15 percent without one, and only 1 percent click a link inside the summary itself. SparkToro's 2026 research puts the bigger trend in perspective: roughly 68 percent of Google searches now end with no click to the open web at all, up from about 45 percent a decade ago. Ahrefs found that even the top-ranked page for a search loses about 58 percent of its clicks when an AI Overview appears above it.

Read together, those numbers say something specific to a restaurant or hotel owner: fewer people are clicking through to any website at all, and the ones ranking well on traditional search are losing ground too, because the AI answer is intercepting the decision before the click happens. If you are only investing in your own website and hoping it ranks, you are optimizing for a smaller and smaller share of how people actually decide where to go.

Step one: build a real footprint of earned coverage

This is the foundation, and there is no substitute for it. Earned media, the coverage, mentions, and citations you earn from credible outside sources rather than buy through ads, is what AI systems draw on when deciding who to name in an answer. That means local press, food and travel writers, city guides, industry roundups, and expert commentary from your team. This is the core discipline of public relations, and it works exactly the same way for AI as it always has for people: a business other trusted sources talk about looks more credible than a business that only talks about itself.

Practically, this means pitching real stories, not generic press releases. A new chef, a sustainability initiative, a notable renovation, a local partnership. Give a journalist or blogger something worth writing about, and every piece of resulting coverage becomes another signal an AI can point to.

Step two: keep your facts consistent everywhere

AI systems cross-reference. If your hours, address, menu, or amenities are listed differently across your website, your Google listing, review sites, and third-party guides, that inconsistency makes you a less reliable source to cite, and a worse experience for the guest who shows up at the wrong hours. Consistency is unglamorous work, but it is table stakes for being trusted.

Step three: treat reviews as a managed asset, not background noise

Reviews are some of the richest evidence an AI has about what a place is actually like, which makes authenticity a real competitive advantage right now. Tripadvisor's 2025 Transparency Report found the platform removed more than 214,000 AI-generated reviews and 2.7 million fraudulent reviews in a single year. That is a platform actively working to strip out fake signal, which means the reviews that remain visible carry more weight, not less. Restaurants in particular are sitting on a large and fast-growing pool of review data that both travelers and AI tools are learning from.

The takeaway is not complicated: do not fake reviews, do not buy them, and do not let them sit unanswered. Respond to guests, encourage real feedback after a genuine visit, and let an honest track record accumulate. As platforms get better at filtering out manufactured trust, real trust becomes the differentiator.

Step four: put your expertise where it can be cited

AI answer engines favor sources that read as authoritative. A hotel general manager quoted in a local travel roundup, a chef contributing to an industry piece, a property commenting on a destination trend, all of it builds the kind of credible, citable footprint that both journalists and AI systems draw from. This is slower than running an ad, but it compounds in a way an ad never does.

Being the name that gets mentioned beats ranking

None of these four steps are new marketing inventions. They are the fundamentals of digital PR done well, applied to a world where the person reading your reputation might be an algorithm instead of a human. The restaurants and hotels that show up in AI answers a year from now will be the ones that started building this footprint today. The ones that wait will find that the traffic they used to count on for showing up in search results is not coming back, because it was never really about the ranking. It was always about being the name that gets mentioned.