Common situation
When AI gets your restaurant wrong
A restaurant can be excellent in person and poorly represented online. Conflicting categories, generic descriptions, old information, and borrowed language can create a distorted machine interpretation.
Why distortion affects consideration
- A wrong category removes you from the questions you should be answering.
- Generic language makes you interchangeable with every other place nearby.
- Old information travels: a closed hour or a retired menu keeps getting repeated.
- Borrowed language — copied from a template or a competitor — describes someone else's restaurant.
What the Guest Read examines
- The category and cuisine currently attached to your name.
- The descriptive words AI reaches for first.
- Where those words appear to come from in your public signals.
- The one correction most likely to change the description.
A sample before and after
Before: “A casual spot serving sandwiches and coffee, popular for a quick bite.”
After: “A Dominican bakery known for morning pastries, celebration cakes, and call-ahead catering orders.”
Sample interpretation drawn from a published, anonymized observation. Your own read will differ.
Your next step
Run the free Guest Read and see the description in writing. If you have already seen a wrong AI answer, the Operator Prompt Desk™ helps you check it before you act on it.
What we call this
Internally this pattern is a distortion gap: the restaurant is present, but described as something it is not. It is one of the four patterns we track in the Interpretation Gap™.