After The Table
EN NL
Get started
‹ All answers

Why are your restaurant Google reviews falling behind?

Restaurant Google reviews fall behind because owners deliver hospitality, not data or review work. A chef or café owner belongs with the guests, not behind review dashboards, which is why software has to take that work over completely.

Which review tasks should software take over from restaurants?

Review management comes down to three tasks that restaurant owners rarely keep up consistently: asking for reviews at the right moment, catching negative feedback privately and replying to every public review. Software that only delivers a dashboard shifts the work back onto the owner. AI agents carry out those tasks themselves via email, SMS or WhatsApp and on Google, TripAdvisor, Booking and Facebook.

When should you ask for a review?

Shortly after the visit, while the experience is still fresh. An automated invitation via SMS or WhatsApp brings in more reviews than a card left with the bill.

What do you do with negative feedback?

Catch unhappy guests privately before they post a public review. That way you solve the problem without your Google rating taking a hit.

Who replies to all the reviews?

Replying by hand is barely doable for a single location and impossible across 10+ locations. AI agents post replies automatically on Google, TripAdvisor, Booking and Facebook.

Why would you care about data when you're running a café and pouring your guests a good beer?

Frequently asked questions

Why do restaurant owners struggle to manage reviews themselves?

Restaurant owners and chefs are focused on guests and food, not on data and software. Asking for, monitoring and replying to reviews takes daily discipline on top of a busy service. As a result, it happens irregularly or not at all. According to BUNKR founder Robin Vromans, hospitality software vendors, such as POS providers, could do far more to take that work off their hands.

What should hospitality software vendors do better?

Hospitality software vendors should assume the user has no time or interest for data and technology. Software that only shows insights still leaves the work with the owner. A better approach is software that carries out the tasks itself, such as automatically requesting and replying to reviews, so the restaurant owner can focus on the guest.

What is an AI agent for restaurants?

An AI agent for restaurants is software that carries out a recurring task on its own instead of just assisting with it. Examples include automatically replying to reviews, automatically asking guests for a review, creating and optimizing Google Business Profile posts, and building and maintaining websites. The owner sets it up once, and after that it runs without any manual effort.

Try it yourself

Try it on your own restaurant first.

Three days free. No login, nothing to install.

Video transcript

So it's not, it's not like they don't want it, but it's, uh, yeah, it's a, it's a difficult fit. So what I'm always really, um, yeah, attending to is to companies who are servicing the hospitality industry, like software solutions, like POS systems. I think those companies can do a lot more to make sure the hospitality businesses go faster in a tax-heavy way.

Yeah, 100%. Why, why should you be interested in, in data when you're running a cafe and are really like a social guy talking to all the guests when you're giving them a nice beer? Or why shouldn't you be, uh, tech-savvy, look into AI solutions, your data sheets, when you're a cook, yeah, well, that's not a match, you know.

So it needs the geeky crazy guys like me and like us to maybe bring something else to the table.