LOGO

Shifting the way restaurants do business online.

How we compare against others

Reputation & Visibility

Reviews used to just influence whether someone picked up the phone. Now they influence something bigger: what an AI assistant tells someone when they ask where to eat. Your reputation isn’t just a star rating anymore — it’s the data a machine is reading to decide whether to recommend you at all.

That makes reputation something that needs active management, not hope. Reputation & Visibility keeps reviews coming in consistently after every visit, instead of relying on the rare customer who thinks to leave one unprompted. Frequent, honest reviews give you a real, current picture of how you’re actually doing — not a five-star average frozen from two years ago that no longer reflects reality.

And when something does go wrong — a bad night, a wrong order, an upset customer — waiting to find out about it from a public one-star review is the worst way to learn. We flag it early enough that you can make it right directly, before it becomes the thing a search engine or an AI model surfaces first when someone looks you up.

This isn’t about manufacturing perfect scores. It’s about making sure the reviews that do exist are honest, current, and give both future customers and the AI systems increasingly standing in for them an accurate read on your restaurant. A reputation you’re actively managing looks different from one you’re hoping holds up — and the difference shows up in who gets recommended and who gets skipped.

Schedule your demo

1
2

FAQ

What if I get a bad review — can it be removed?

We don’t manufacture or remove honest reviews — that’s not what builds a reputation that holds up. What we do is flag issues early, so you can make it right with the customer directly, often before it ever becomes a public review at all.

How do you get customers to actually leave reviews?

By asking at the right moment — right after a good visit, when it’s easy to say yes — instead of hoping someone remembers to do it days later on their own.

Does this work across every review platform, or just Google?

It’s built around the platforms that actually influence how people find you and how AI tools describe you, not just one.

What if I'm worried about spammy-feeling review requests?

The timing and frequency are built around what feels like a natural ask, not a pop-up the moment someone walks in. The goal is more honest reviews, not more annoyed customers.