AppReply
App review management you don't have to watch
Reply to app reviews in 100+ languages using your help docs and past answers. Find recurring complaints and check published replies with Reply Quality. Trusted by teams behind apps and games with 1.7B+ combined downloads.
AppReply connects the Apple App Store, Google Play, Samsung Galaxy Store, Huawei AppGallery and RuStore, and turns all of them into a single translated review queue. MAX, the AI reply assistant, drafts each answer from your own help docs and previously approved replies, so the wording stays yours rather than generic AI filler. Every automation rule can publish on its own or wait for a human, and any rule can be previewed against recent reviews before you switch it on.
The part nobody else does is what happens after publishing. Reply Quality grades each published reply against a scorecard you write: does it answer the complaint, is it in the right language, does it stay inside your product facts, does it match your brand voice. Failures collect in one queue with the supporting text, and brand-voice checks compare each language against your own past writing, so drift in Turkish or Japanese gets caught even when the English looks fine.
Review analytics group feedback into topics and compare them across app versions, countries and apps, with the original reviews one click away. Rating drops, review spikes and review bombing are routed to Slack, Microsoft Teams, Discord, Telegram or a webhook. Customer data is never used to train shared AI models.
AppReply connects the Apple App Store, Google Play, Samsung Galaxy Store, Huawei AppGallery and RuStore, and turns all of them into a single translated review queue. MAX, the AI reply assistant, drafts each answer from your own help docs and previously approved replies, so the wording stays yours rather than generic AI filler. Every automation rule can publish on its own or wait for a human, and any rule can be previewed against recent reviews before you switch it on.
The part nobody else does is what happens after publishing. Reply Quality grades each published reply against a scorecard you write: does it answer the complaint, is it in the right language, does it stay inside your product facts, does it match your brand voice. Failures collect in one queue with the supporting text, and brand-voice checks compare each language against your own past writing, so drift in Turkish or Japanese gets caught even when the English looks fine.
Review analytics group feedback into topics and compare them across app versions, countries and apps, with the original reviews one click away. Rating drops, review spikes and review bombing are routed to Slack, Microsoft Teams, Discord, Telegram or a webhook. Customer data is never used to train shared AI models.
