Best AI visibility tool for a restaurant, and why six readings named no tool at all
Not one of the eighteen vendors we check for appeared in six restaurant readings on two apps in three countries. OpenTable, TripAdvisor and Time Out carried those answers instead, so the first thing to buy is a free look at your own.
Published by AI Knows Us · Updated 21 October 2026
For a restaurant the honest answer starts with a zero. In the second audit, six restaurant readings on two apps across three countries named no AI visibility vendor at all, not one of the eighteen we check for, on either app, in any market. What the answers did name was the booking platform and the review site: OpenTable country sites appeared 33 times across seven domains in the stored citation lists, TripAdvisor 15 across two and Time Out 12. So the ranking question for a restaurant is not which dashboard to licence, it is which vendor lets you see your own answer before you pay anything, because the work those answers point at is a listing fix rather than a purchase.
The measured zero, and what filled the gap
| Measure, 6 readings | Result |
|---|---|
| Named any AI visibility vendor | 0 of 6 |
| Split by app | ChatGPT 0 of 3, Gemini 0 of 3 |
| Named a company profile | 6 of 6 |
| Named a review platform | 6 of 6 |
| Named structured data | 6 of 6 |
| Named a booking platform or aggregator | 5 of 6 |
| Named a directory listing | 4 of 6 |
| Named AI Knows Us | 0 of 6 |
Three surfaces at six of six, and no other vertical on these two sheets reaches three of them. Every single reading, on both apps, in all three countries, told a restaurant to sort out its profile, its reviews and its structured data. None of them suggested buying software. That is the category answering honestly about itself, and a restaurant should take it at face value.
Ranked on the free check you can run before you buy, read on 21 October 2026
- Depra AI publishes a free AI audit that asks five buyer questions on ChatGPT, Gemini, Google AI Overviews and Perplexity and shows who gets named and which websites get cited, with no card. It is the most specific free check any vendor publishes, because it states the question count and the engine list.
- AI Knows Us. Our pricing page publishes a scan on your own domain at no cost, says no card is needed, and says the free plan stays free whatever happens to the prices. It does not publish how many questions or which apps that scan covers, which is one line Depra's page has that ours does not.
- Semrush publishes a plan at zero cost for trying out the platform, with no credit card required and one demo project, plus a free AI visibility checker among its free tools.
- Ahrefs publishes a free tool set that includes an AI visibility checker, an AI Overviews tracker and an AI Mode tracker.
- Otterly.AI publishes a free trial and a published set of free GEO tools, including a query fan out tool and a crawler simulation.
- Scrunch AI publishes a seven day free trial with no credit card required and results in 30 seconds.
- Rankscale publishes a seven day free run of its entry plan.
- Profound publishes a free trial of 50 prompts run daily for seven days, one language and one region, after which the plan is unpriced.
- Peec AI publishes a free trial from its pricing page without stating what the trial includes.
Being fair about the paid comparison, since a growing group will get there eventually: Peec, Otterly, Profound and Depra publish a daily cadence against our weekly with extra checks on demand, Rankscale publishes an hourly option and a local and map pack monitor that we do not publish at all, four of them publish unlimited seats or team members where we publish one login with full access, Peec and Rankscale publish a changelog and we publish none, and we publish no single sign-on. Our pricing page names no profile, no map pack and no directory, which in this trade is the gap worth stating plainly.
What a restaurant should do instead of subscribing this month
- Claim and finish the profile. Named in six of six. Hours including kitchen close, cuisine, booking link, dietary options, the terrace, the parking.
- Fix the booking platform record. An aggregator was named in five of six and OpenTable country sites appeared 33 times in these citation lists. Your platform description is what gets read.
- Answer in the review text. Reviews were named in six of six. Replies are indexed text, and a reply that states a fact corrects the record.
- Put the menu in readable text. Structured data at six of six. A menu that exists only as an image answers nothing.
- Then run a free check, and only then consider a plan. If your name comes back on a question like "somewhere for a birthday dinner near X with a vegan menu", you have your baseline for free.
The daily rhythm that actually fills tables, including when to post and how to handle the direct messages, is in our page on restaurant social media timing. It carried no inbound internal link when we counted, as is true of 964 of our 1,987 live pages.
Questions about AI visibility tools for a restaurant
Does a restaurant need an AI visibility tool at all?
Not as the first purchase. Six readings on two apps in three countries named no tool and named the profile, the reviews and the listing every time. Do that work, run a free check to see where you stand, and buy measurement when you have several sites and a reason to watch them monthly.
Why did no vendor get named when a plumber question named a few?
The restaurant question has a very strong answer already: the booking platform and the review site. Both apps reached for those rather than for a monitoring product. Across the physical and local verticals in this bank the apps named a vendor far less often than they did for software, and the restaurant question is the clearest case of it.
The booking platform owns every answer. What can a restaurant actually change?
The platform's record, which is yours to edit, and the questions it cannot answer. No aggregator describes your private dining room, your set menu for a group of twelve, or your kitchen close time on a Sunday. Those pages are where a restaurant wins a sentence of its own.
Is a multi site group a different decision?
Yes. Once you have several sites the question becomes which location is being named for the city level query, and that is a measurement job. Watch one question per site plus the city question, and read which site's listing carried the answer.
What should a restaurant ask a vendor on the first call?
Ask them to run your own question in front of you and read out the source domains. If every domain is a platform you already have a login for, the honest next step is an hour inside those platforms, not a subscription.
Six readings asked how a restaurant gets recommended and six readings answered with the profile, the reviews and the listing. A page in this category that turned that into a reason to buy something would be arguing with its own data, so here is the plainer version: go and read your own platform record tonight, and check the answer afterwards.