How to use AI to automatically reply to App Store and Google Play reviews

Replying to App Store and Google Play reviews is essential for your app's reputation, but it quickly becomes extremely time-consuming as volume grows. Generative AI now makes it possible to automate a large part of this work without sacrificing quality or your brand voice.

In this article, we explain how to use AI to automatically reply to reviews, what to watch out for, and how a tool like Revibu can help you industrialize this process.

Why automate replies to mobile app reviews?

Ignoring reviews means taking several risks:

• giving the impression that the app is abandoned
• leaving negative reviews without context or solution
• missing reassurance opportunities for new users
• losing valuable feedback for your product roadmap

At the same time, manually replying to hundreds of reviews per month is rarely realistic for a small team. AI-powered automation allows you to:

• save time on repetitive replies
• keep a consistent, professional tone
• handle reviews in all languages
• focus human effort on truly sensitive cases

How does AI for review replies work?

The basic flow is:

1. The review is fetched from the App Store or Google Play
2. AI analyzes the content of the review:
   • sentiment (positive, neutral, negative)
   • topic (bug, feature request, improvement, compliment)
   • language
3. AI generates an appropriate reply, for example:
   • thank you + empathy
   • explanation + temporary workaround
   • request for additional details
4. Depending on your rules, the reply is:
   • sent automatically
   • or suggested to a team member for approval

A good system must let you configure these rules precisely, so you are not blindly automating everything.

Best practices for high-quality automatic replies

To make AI a real asset (and not a risk), a few principles are key:

1. Clearly define your brand voice

First, you need to define:

• the level of formality (casual vs formal, friendly vs neutral)
• the typical structure of replies (thank you, apology, solution, closing)
• what to avoid (overpromising, legal statements, etc.)

In Revibu, this brand voice is used to generate consistent replies, regardless of who is in the team or which language is used.

2. Segment review types

Not all reviews should be treated the same way. For example:

• Positive 5★ reviews → automatic thank-you reply
• 1★ or 2★ reviews mentioning a critical bug → alert + human-reviewed reply
• Feature requests → automatic reply + product ticket creation
• Detailed compliments → personalized, sometimes manual reply

Revibu's AI can automatically categorize reviews (bug, feature request, improvement, compliment) to apply the right workflows.

3. Keep humans in the loop for sensitive cases

The goal is not to automate 100% of replies, but to:

• automate the simple, high-volume cases
• secure high-risk situations (payments, security, data, etc.)

You can, for example:

• require manual approval for specific review types
• limit auto-replies to certain ratings or languages
• receive Slack / Teams / Discord alerts for critical reviews

Example workflow with Revibu

Here is a typical setup you can implement with Revibu:

1. Connect your apps to App Store Connect and Google Play Console

2. Configure rules such as:

   • “Automatically reply to 4★ and 5★ reviews with a personalized thank-you message”
   • “For 1★ and 2★ reviews containing the word 'bug' or 'crash', create a Jira ticket and notify the #mobile channel on Slack”
   • “For feature requests, create a Notion card and reply explaining that the suggestion has been logged”

3. AI generates replies in your brand voice

4. Depending on the rule, the reply is:

   • sent immediately
   • or submitted to a team member for approval

The result:

• users receive a fast, professional answer
• your product team gets clean tickets in Jira / Notion / Linear
• you keep control over sensitive situations

The concrete benefits for your team

By using AI to reply to App Store and Google Play reviews, you can:

• drastically reduce the time spent on repetitive replies
• improve your average rating through better handling of negative reviews
• give product teams a structured view of bugs and feature requests
• offer users an experience that feels more responsive and more human

Conclusion

AI applied to App Store and Google Play reviews is not a gimmick: it is a concrete lever to save time, improve your reputation, and better leverage user feedback.

With a tool like Revibu, you can:

• connect your stores in a few minutes
• define your automation rules
• generate replies that match your brand voice
• turn every review into a product opportunity instead of an operational burden

If you want to see how this works on your own reviews, you can get started directly with Revibu and test AI on a sample of your existing reviews.