AI SEARCH

AI Search Visibility
For Restaurants & Hotels

Guests have started asking machines. A local couple choosing Saturday's table, a tourist landing in a Nordic city with one free evening — increasingly, they ask ChatGPT, Gemini or Google's AI, and take the recommendation they are given. We make sure your venue is visible, accurately described and confidently recommended across the tools guests now ask first.

Why AI Doesn't Mention You?

Assistants recommend; they don't list.
A search page shows twenty options; an AI answer names two or three. There is no page two of a recommendation — venues are either in the answer or absent from the decision.

Machines describe you from whatever they find.
AI assembles its picture of your venue from listings, reviews, articles and data across the web. Where that trail is thin, outdated or inconsistent, the machine hesitates — or describes you wrongly.

The shift is happening quietly.
No dashboard shows the bookings lost to an AI answer that named someone else. Venues optimising only for yesterday's search are invisible in the channel growing fastest — and will not see it happen.

Be the answer

We work on what the machines read: structured data and technical signals on your site, accurate and consistent presence across the listings, maps and reviews AI draws from, and the coverage and descriptions that teach the models what you are and who you are for. Then we monitor how the major assistants actually answer the questions that matter — your city, your category, your occasion — and close the gaps. Early venues are being cemented into answers right now; the aim is simple: when a guest asks, the answer is you.

answer is what an AI assistant usually gives — a recommendation, not a results page. Being it is the whole game.

assistants guests already ask: ChatGPT, Gemini and the AI answers inside Google itself. Each has an opinion about where to eat; we shape it.

FAQ

Before You Ask

What is AI search visibility?

The practice of making a venue visible, accurately described and recommended inside AI assistants — ChatGPT, Gemini, Perplexity and the AI answers within Google. Guests increasingly ask these tools where to eat and stay; AI search visibility is how you become their answer.

How do AI assistants choose which restaurants to recommend?

They synthesise what they can read: listings and maps data, reviews and ratings, articles and guides, and the venue's own structured, well-described web presence. Consistency and coverage across those sources build the confidence a model needs to recommend you by name.

Is this the same as SEO?

It shares foundations with SEO — structure, accuracy, reviews, authority — but the finish line differs: not ranking on a page, but being named in an answer. We run the two as neighbouring disciplines: SEO earns the position, AI visibility earns the recommendation.

Can you guarantee ChatGPT will recommend us?

No one honestly can — the models decide, and they change. What can be done is everything that shapes the decision: the data they read, the reviews they weigh, the coverage they trust, monitored against the actual answers they give. Done early and well, it is a compounding advantage.

Does this matter for tourists as well as locals?

Especially for tourists. A visitor in a new Nordic city has no habits and no shortlist — they ask, and they go where the answer sends them. For hotels and destination dining, being the recommended name in that conversation is worth entire seasons.

How do you measure AI visibility?

By asking the machines what guests ask them: structured, repeated testing of the questions that matter — city, category, occasion — across the major assistants, tracked over time. The report shows where you are named, where competitors are, and what is closing the gap.