Only diners who booked and showed up can review
OpenTable reviews are tied to a reservation that was honoured. The invitation goes to the person whose name was on the booking, after the meal. That verification makes fake reviews unusual and it makes one particular challenge available that most restaurants never think to use.
The person who booked is often not the person who was unhappy. A table of eight books under one name, and the review that arrives describes an experience the booker may not have had. Where a review describes something that plainly did not happen at your restaurant that evening, your own booking and POS records are the evidence.
Restaurants have better records than they use
Reservation time, table, covers, server, courses, timings, the check. Between the booking system and the till you can usually reconstruct a service in detail, and that turns a vague dispute into a factual one.
A review complaining about a forty-minute wait for mains is answerable if the ticket times say eighteen. A review describing a dish you removed from the menu two months earlier is answerable outright. Pull the records before responding to anything.
What can be removed
Grounds that work
- Reviews describing a visit with no matching reservation
- Content about a different restaurant or location
- Complaints about the booking platform itself
- Reviews naming individual servers
- Profanity, threats or discriminatory language
- Reviews of a menu or team under previous ownership
- Duplicate reviews of one booking
Grounds that do not
- A diner who did not enjoy the food
- Complaints about price or portion size
- Criticism of noise, seating or atmosphere
- An accurate account of a slow service
Reviews naming servers are more common than owners realise and are usually reportable. They are also worth catching quickly, because staff read them.
Your rating affects your placement
On a booking platform, ratings do not just persuade diners, they influence how prominently you appear when somebody is searching for a table. A slipping rating quietly reduces the number of people who see you at all, which is a booking problem rather than a branding one.
It also means recency matters. A restaurant collecting steady recent reviews recovers far faster than one relying on removals.
What it costs
Priced per case. Record-backed challenges are efficient work. Where the pattern points at a service issue on particular nights, we will say so, because that is a rota problem rather than a review problem.
Nothing up front, nothing until a removal is complete.
How we handle it
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We match reviews to reservations
Date, covers, table and ticket times. This is the strongest evidence available to a restaurant and it is rarely used.
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We check location attribution
Groups with several sites under one name get reviews on the wrong restaurant regularly.
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We report what breaches the rules
Named staff, abuse and platform complaints, filed specifically rather than generally.
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We look for the pattern
If the bad reviews cluster on particular shifts, the fix is operational and we will tell you so.
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We build recent volume
A steady flow of genuine reviews moves both the rating and your placement faster than disputes.
Choosing help
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They ask for your booking data
Without it, nobody can make the argument that works on a reservation-verified platform.
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They protect your staff
Reviews naming servers should be reported promptly, for the team’s sake as much as the rating’s.
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They connect rating to covers
The point is bookings, not the number itself.
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They tell you when it is operational
Clustered complaints are information. A company that only sells removals will not mention it.
The realistic outcome
Reviews with no matching reservation, misattributed content and staff-targeting posts come off. Genuine criticism stays, gets a short reply, and is outweighed within weeks by diners you invited properly. Placement recovers as the rating does, which is where the bookings come from.