New in AppReply: Performance dashboards, AI reply disclosure, and reliability at scale

Great review responses get harder at exactly the moment they matter most: right after a launch, a pricing change, or a live ops event, when reviews spike and your team has the least time to keep up.

Three questions come up over and over from app and game teams working through those moments. Is this actually working? Can I control what goes out? Will it hold up under load? This release answers all three.

1. See whether your replies actually move your app rating

Reply volume is easy to count. Reply impact is the hard part, and it is the number that actually matters. The new Performance dashboards, part of review analytics, are built around it.

AppReply Performance dashboard showing reply effect for AI vs human, automation score, and review coverage

The headline is Reply effect: AI vs human. For reviews that received a reply, it puts the average rating change after an AI reply next to the average change after a human one. It focuses on reviews that can actually move, so a wall of reviews that were already five stars doesn't quietly flatter the number.

Around that headline, the dashboard gives you:

• Automation score, so you can see how much of your reply volume runs on autopilot, and how cleanly.
• Review coverage over time, which splits every review into auto-replied, manually replied, or still unanswered, so gaps are easy to spot before they grow.
• Replies by rule, which shows which automations are actually doing the work. Our auto-reply quality guide shows how to read it next to your quality pass rate.

You can also compare AI agents against your human team in a dedicated tab: who is replying, how much, and to what effect.

The Humans tab, comparing reply volume and effect across your team

The team view is admin-only, so individual numbers stay with the people who manage the team. Performance analytics is available on Pro.

2. Tell reviewers when a reply was AI-assisted, in your words

Some teams want to be upfront that a reply was drafted with AI. Others would rather keep it invisible. Both are valid, and now it is your call, in your own words.

AI reply disclosure appends a short custom phrase to your AI auto-posted replies. You choose the wording. Set one default for every language, or add per-language overrides so the note appears in the reviewer's own language rather than a machine-translated version of yours.

AI reply disclosure settings with a default phrase and per-language overrides

A few details worth knowing:

• It applies only to AI replies that auto-post. Manual replies, and drafts you review before sending, are never touched.
• Per-language overrides keep it reading naturally. A German reviewer sees your German phrasing, not a translation of your English one.
• On Google Play, where replies cap at 350 characters, the settings show how much room your phrase leaves for the reply itself.
• Leave it blank and nothing changes. Disclosure stays off until you decide you want it.

You will find it on the Voice & style tab under Knowledge base, and it applies organization-wide.

3. Built for peak review volume

AppReply is built to keep the same review workflow moving as volume grows. This release put a lot of work into reliability under load.

Launches, feature drops, pricing changes, and live events can bring thousands of new reviews in a short window. AppReply now keeps replies flowing at 1,000+ reviews a day with consistent throughput through those peaks.

Your team can keep the same monitoring and response workflow through a quiet week, a launch, or a high-volume live event.

Availability

Performance dashboards are available on Pro today, under Review management in the sidebar. AI reply disclosure lives on the Voice & style tab under Knowledge base. The reliability work is already live on every account, with nothing to turn on.

That is the release: proof it is working, control over what goes out, and reliability when it counts. For the craft of the replies themselves rather than their effect, see Reply Quality.