For operators · Free to use
Your guests are writing your listing for you.
AI tools read reviews to decide which restaurants get recommended — not just which ones rank. Most reviews say the food was great and stop there, which tells a machine nothing about who should come, or when. Four sentences fix that. Hand this to your guests and your best nights start describing themselves.
Print + tape in server station
One-page leave-behind for your team
A single page with the four sentences, the table line, and a finished example. Print it, save it as a PDF, or drop it in the check presenter.
The four sentences that matter
Nobody needs to write an essay.
Tell them your occasion.
- “Came for a birthday with six friends.”
- “Quick solo lunch between meetings.”
- “Dinner with two kids and their grandparents.”
Occasion is the first thing AI looks for, because it's the first thing a guest asks for.
Say who this room is right for.
- “Perfect for loud groups who want strong drinks and music.”
- “Great for parents visiting the city.”
- “Best for couples who want a calm dinner and real conversation.”
A restaurant that is for someone becomes recommendable. One that is for everyone becomes background.
Describe the energy, not just the food.
- “The room is lively and loud — fun, not hushed.”
- “Service is relaxed; nobody rushes you.”
- “Bright and efficient, lots of quick tables turning.”
Atmosphere is the signal most listings leave blank, so AI fills it in with a guess.
Name one thing that made it work for that moment.
- “They let us stay three hours and kept the birthday cake a surprise.”
- “Servers were wonderful with our kids — crayons and patience appeared instantly.”
- “The bartender remembered our order and paced the cocktails perfectly.”
One concrete moment is checkable. A compliment is not.
What it looks like finished
Came here for a birthday with six friends. The room is loud in a good way — music up, bar energy strong — so it's perfect if you want conversation over noise, not a quiet talk. Service was relaxed and we were never rushed; we stayed almost three hours. Cocktails were the star, and the team handled a surprise cake without making it a production. This is the spot for group celebrations and strong drinks, not for a calm anniversary dinner.
Occasion, audience, energy, and one concrete moment. That is a review a machine can turn into a recommendation, because there is something in it to recommend.
The line to say at the table
Ask for the details, not the stars.
“If you leave us a review, would you tell people what you were here for, who you'd send here, and what the room felt like? Those details help future guests — and the AI tools they're using — figure out when this place is actually right for them.”
Use it three ways: printed on a card in the check presenter, in your thank-you text or email, or as a short section on your reservation confirmation. It turns “please leave a review” into something useful without making the guest feel like they’re writing for a robot.
From Margaret Arias, Founder
I study how AI interprets restaurants.
Reviews are one of the few signals you don’t write yourself — but you can shape the question your guests are answering. Start with the line above tonight. Then find out what the machines already believe about you.
No account required. Just your restaurant’s URL. Or browse the Operator Vocabulary Library™.