Reply Argus

Reply Argus is an AI tool that monitors the Apple App Store and Google Play, drafts replies to reviews in your brand voice, and can publish them automatically or hold them for approval. It pulls reviews from both stores into a unified inbox, so you're not logging into two different dashboards to respond to user feedback. The pitch is that app store reviews matter for retention and conversion, but actually responding to them is tedious enough that most teams either fall behind, write generic copy paste responses, or give up entirely. Reply Argus automates the drafting while keeping the responses personalized enough that they don't read like bot spam. The result is faster response times, higher reply rates, and more consistent communication without burning hours on manual work.

The core capability is brand voice learning. Reply Argus analyzes your past approved responses, your app store listing copy, and any guidelines you provide about tone, terminology, or handling specific situations. It then drafts replies that match how your team actually writes rather than defaulting to generic customer service templates. If your brand voice is casual and uses contractions, the replies reflect that. If you prefer formal language, it adapts accordingly. Over time, the system learns from which drafts you approve and which you edit, refining its understanding of what sounds right for your app. You can also add a knowledge base with facts about your app that the AI should reference when answering questions, so it doesn't make up features or get details wrong.

Multilingual support covers over 100 languages with tone preservation built in. If a user leaves a review in Portuguese, German, or Japanese, Reply Argus drafts a response in that same language while maintaining the voice and style from your English guidelines. For apps with global audiences, this solves a real problem. Hiring multilingual support staff is expensive. Training them on brand voice takes time. Reply Argus handles translations automatically while keeping consistency across languages, which means a user in Brazil gets the same quality response as a user in the US. The translation isn't just word for word. It preserves the cultural tone and phrasing appropriate for each language, so responses feel native rather than robotic.

Beyond drafting replies, Reply Argus includes a feature called Signal that clusters recurring feedback into a prioritized roadmap. If fifty users are complaining about the same bug or requesting the same feature, Signal surfaces that pattern rather than forcing you to read through reviews manually looking for trends. This turns review management from pure support work into product intelligence. You're not just responding to users. You're extracting insights about what to fix and what to build next, ranked by how many people are asking for it. Signal essentially turns your reviews into a feedback loop that feeds directly into product planning, with the most requested features and most complained about bugs rising to the top automatically.

Automation options let you configure how hands on or hands off you want to be. At the strictest setting, every reply waits for manual approval before publishing. You can loosen that to auto publish five star reviews while holding anything critical for human review. Automation rules can trigger based on star rating, keywords, language, or other conditions. The goal is letting you automate routine responses while keeping control over anything sensitive. Alerts via Slack, Telegram, Discord, or webhooks notify you when ratings drop, when a review needs urgent attention, or when the system flags something outside normal parameters. You can set thresholds so you only hear about the things that require action, without getting pinged on every positive review that went out automatically.

Pricing starts with a free tier that handles 100 replies per month on one app with manual approval only. The Indie plan costs 29 dollars per month and covers 300 replies across four apps, adding features like the knowledge base, Signal, custom voice training, and basic automation. Pro costs 79 dollars per month for 2,000 replies across ten apps, adding full automation rules, analytics, a REST API with webhooks, and learning mode improvements. Studio runs 299 dollars per month with 8,000 replies across thirty apps, adding white label branding, isolated per client setups for agencies, and portfolio level analytics. Enterprise pricing is custom for larger organizations needing more than thirty apps, dedicated support, SSO, and custom SLAs. The pricing scales with review volume, so apps getting thousands of reviews per month will get more value than apps with occasional feedback.

All paid tiers include bundled team seats rather than charging per user. Indie includes five seats, Pro includes ten, and Studio includes twenty five. Additional app slots cost around twelve dollars per app per month if you need to exceed your plan's limit. Every paid plan has a ten day free trial with no credit card required upfront, so you can test the voice learning and automation before committing. Annual billing saves two months compared to monthly. The platform covers both iOS and Android reviews, and integrations include an MCP server for connecting to AI agents like Claude if you want to build custom workflows on top of the Reply Argus infrastructure. For agencies managing multiple client apps, the Studio tier's isolated setup keeps each client's data and voice configuration separate.