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Use case · Hotels

Guest reviews, turned into bookings.

Hotels use airatingz to grow reviews on booking sites and respond in the guest’s language.

Book a discovery callHow we build it
The problem today
×Reviews spread across many platforms
×Replies in one language only
×Competitors rank higher
The outcome Higher ratings and more direct bookings. Talk to us about this
How it runs

Step by step.

1
Guest checks out
2
Review requested on the right platform
3
Reply in the guest’s language
4
Ratings benchmarked against competitors

The agents involved

Reply agentDrafts on-brand replies to every review.Explore this agent →
Sentiment agentFinds the themes behind your ratings.Explore this agent →
Competitor agentBenchmarks you against nearby competitors.Explore this agent →
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Reviews across many booking sites

Guests may review on a booking site, a map listing or a travel forum. The agent watches each platform you connect and brings the reviews into one queue, so nothing depends on someone remembering to check. Requests are sent after check-out, pointing each guest to the platform that makes sense for them, such as the booking site they used. You see all platforms in one queue instead of logging in to each.

Replying in the guest's language

The Reply agent drafts in the language of the review while keeping your property's voice. Your team can approve drafts in languages they read, or you can set rules so only simple thank-you replies post automatically. Decide these points in setup. Language rules can differ by property, so a resort and a city hotel may choose differently, and you can start with just the languages your guests use most.

  • Which languages are in scope
  • Who approves replies in each language
  • How to name staff or departments in replies
  • What to say about cleanliness or noise complaints

Using themes without overreaching

The Sentiment agent groups comments about rooms, breakfast, staff and noise so managers can see what guests mention most. The Competitor agent compares your rating and volume with nearby hotels. Both show patterns, not causes, and a handful of reviews can mislead. Review requests are sent to every eligible guest and are never filtered or rewarded. Booking-site rules differ, so we follow each platform's own policy on asking and replying, and we do not claim a link between ratings and bookings.

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