Google Maps
4/5
A warm welcome at check-in. The room was fine. We would have liked clearer breakfast times.
Demo city hotel · 20 days
Open reviewCompare feedback across locations with the same lens
Use Reviato to compare public reputation and private feedback signals across locations, teams, properties, or units.
01
Many voices.
Public review analysis
Many voices.
A clearer picture.
Look beyond the average. Open a topic and read what individual guests actually described, with the review source and date in view.
01
Check-in experience
4 sample reviews
02
Room comfort
1 sample review
03
Welcome & service
5 sample reviews
26 matching reviews · Working demo · synthetic data
Select reviews on this page or across the current filters.
Google Maps
5/5
A good coffee and a warm welcome. We found a quiet table by the window.
Demo neighborhood café · 20 days
Open review
Booking
4/5
A quiet room and a very comfortable bed. We slept well after a long journey.
Demo city hotel · 21 days
Open review
Google Maps
2/5
We waited twenty minutes for two coffees. The barista was helpful when we asked.
Demo neighborhood café · 21 days
Open review
Tripadvisor
3/5
We waited at reception and were unsure when our room would be ready.
Demo city hotel · 22 days
Open review
Google Maps
3/5
The pastry was fresh, but the table needed cleaning.
Demo neighborhood café · 22 days
Open reviewNo sign-up. No real guest data.
02
Inside Reviato
Multi-location feedback in Reviato
Compare the group view, open location-level evidence, and turn outliers into manager-owned work.
03
How it works
What multi-location feedback is for
Multi-location teams need more than a pile of reviews. They need comparable public and private signals across every operating unit.
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How it works
What managers can act on
Outlier location
Find where sentiment or low private feedback is moving the wrong way.
Shared issue
Spot a theme repeated across locations before it becomes brand-wide.
Manager handoff
Give each manager the evidence tied to their own location.
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How it works
How it runs across locations
Compare locations with one feedback model
Use the same sentiment, aspect, and trend language across every property so teams are not comparing incompatible reports.
Open the outlier before assigning work
Drill into the location, source, review text, and private feedback that created the gap.
Share fixes when the pattern repeats
When the same theme appears in several locations, turn one local fix into a repeatable playbook.
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How it works
What multi-location reporting should not flatten
A group view is useful only when it preserves local context. Each location still needs its own source mix, review text, private feedback status, and manager owner. Otherwise the team sees a ranking without knowing what to fix.
Common questions
Frequently asked questions
Can each location have its own private feedback link?
Yes. Private feedback can be tied to the relevant property or location.
Can locations be compared?
Yes. Use the same sentiment, aspect, and trend lens across locations.
Why include public reviews?
They show the reputation customers already see for each location.
Why include private feedback?
They show recoverable issues and consented customer context.
Your next step
Compare feedback across locations with the same lens
Give every location the same feedback language while still seeing where each one needs a different fix.