FREE AI VISIBILITY CHECK

Does ChatGPT recommend your restaurant?

More diners ask AI "best brunch in my city" than ever — and the AI names a handful of spots. If you're not one of them, those tables go to a competitor. Check free in 20 seconds.

Why AI recommendations decide where diners go

Restaurant discovery has quietly moved into AI assistants. A diner deciding where to eat no longer scrolls ten blue links — they ask ChatGPT, Perplexity, or Gemini "where should I get brunch in Coral Gables?" and get a short, confident list of three to five places. Being on that list is the new word-of-mouth; being off it is invisible at the exact moment someone is ready to book a table.

Unlike a Google ranking, you can't buy your way onto that list, and it changes by the week as the models re-read their sources. The AI builds its answer from a specific set of places it trusts — local review sites, food media, reservation platforms, and community threads. If those sources describe you well, the AI recommends you. If they don't mention you for that exact occasion ("brunch," "date night," "best tacos"), you simply aren't in the answer.

Orbator measures whether AI recommends your restaurant for the categories that matter, across all five major engines — then shows you exactly which sources the AI read to build its answer, so you know where to be present.

Where AI looks to recommend restaurants

When AI answers "best brunch in your city," it doesn't invent the list — it reads these:

The Infatuation, Eater, TimeOut & local food blogs
Editorial "best of" lists. AI quotes these heavily — being featured is the highest-signal way to get recommended.
Yelp & TripAdvisor
Review aggregators. Your rating, review volume and freshness feed directly into how AI describes you.
OpenTable & Resy
Reservation platforms. Presence + bookability signal a real, active restaurant.
Google Business Profile & reviews
The base layer — hours, photos, category, and review velocity the models cross-reference.
Reddit & local community threads
Authentic local recommendations the AI weighs as "real people" signal.

How it works

STEP 1
Scan
We ask the five AI engines the questions your diners ask ("best {category} in {city}") and check whether you're in the answer.
STEP 2
See the gap
You get the verdict per engine, who got recommended instead, and the exact sources the AI read to decide.
STEP 3
Get recommended
We help you become the answer — claim and optimize the profiles AI reads, build review velocity, and earn the editorial lists that carry the most weight.

Questions restaurants ask

Why would AI recommend a competitor over my restaurant?

Because the sources AI trusts — local food media, Yelp/TripAdvisor, Reddit threads — describe your competitor for that specific occasion and not you. It's rarely about food quality; it's about how well the surfaces AI reads represent you for "brunch," "date night," or whatever the diner asked.

Is this the same as Google SEO or my Google Business Profile?

Related but different. Your Google profile is one input. AI assistants synthesize an answer from many sources — food editorial, review sites, reservation platforms, community threads — and recommend a short list. Orbator measures and improves that AI recommendation specifically.

Which AI engines do you check?

All five that diners actually use: ChatGPT, Claude, Perplexity, Gemini, and Grok. Each cites different sources, so we weight the ones that show their work.

I have great reviews — why am I still not recommended?

Strong reviews help, but AI answers are occasion-specific. You can be the top "pancakes" spot and be absent from "best brunch" if the lists and threads the AI reads don't frame you that way. The fix is getting represented for the categories you want to win.

Does checking cost anything?

No. The scan is free and takes about 20 seconds. You only pay if you want ongoing weekly monitoring or hands-on help getting recommended.

See if AI recommends your restaurant

Free, 20 seconds, across all five AI engines.

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