Reply, for a person to approve
Replies are public, so the draft never repeats guests’ names, room numbers or booking details.
Not approved yet. Nothing is posted.
Hear what customers are telling you. Reply like a person.
Reputation AI is being designed to turn each review into a clear issue, a fix for the business and a reply that a person approves before it is posted.
Coming soon In development. No launch date yet.
Example Lakeside Hotel · reviews
Illustrative exampleOperations ticket
Recurring: the same issue appears in 3 of the last 20 reviews.
The issue behind it
Rooms are not ready at the advertised check-in time, and guests are not told how long they will wait.
What the hotel could change
Operational next step: housekeeping reviews the afternoon cleaning order; front desk texts guests when the room is ready and offers luggage storage meanwhile.
Honest reviews stay. They deserve a good reply.
Review platforms have clear rules, and Google’s are among the strictest. The planned product is being designed around them, so it will never do four things.
Based on Google Business Profile Help: prohibited and restricted content and reporting inappropriate reviews.
- Remove honest negative reviewsOnly reviews that break a platform’s policies can be reported, and the platform decides.
- Ask only happy customersInviting only people likely to be positive is review gating, which Google does not allow.
- Offer anything for a reviewNo discounts or gifts in exchange for reviews or for changing them.
- Post without youEvery reply is approved by a person before it is posted.
What are your customers saying?
Tell us where your reviews appear and how you reply today. We’ll reply personally about Reputation AI and where it is in development.
Coming soon In development. No launch date yet.
Is Reputation AI available now?
No. It is in development and has no launch date. SEO AI is the only MarketAlong product available today, as a private pilot.
Can it get bad reviews removed?
No. Only reviews that break a platform’s policies can be reported, and the platform decides. Honest negative reviews stay; a good reply helps.
How does it spot a recurring problem?
By grouping reviews that describe the same issue, such as late check-in, and showing how often it appears. It is a pattern to investigate, not proof of its cause.
Are these reviews real?
No. The reviews and Example Lakeside Hotel are fictional.
Prefer to write directly? harsh@marketalong.com