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Description
Reply Argus is an innovative AI-driven tool designed for managing reviews of mobile applications. It monitors reviews on both the App Store and Google Play, crafting personalized responses in the reviewer's native language while maintaining the app's distinct voice as derived from the store listing and previously approved replies.
All reviews from the two platforms are consolidated into a single inbox for convenience. You can either approve the drafted responses for posting or set specific criteria based on rating, keywords, language, or platform to allow Argus to automatically publish the replies you deem appropriate. Importantly, reviews that are related to crises, legal matters, or medical issues are always flagged for human review.
The Signal feature identifies and ranks common complaints and feature requests based on their frequency, linking them to the relevant reviews and enabling integration with Notion or Google Sheets. Additionally, any significant drops in ratings or negative reviews trigger alerts sent directly to your preferred communication channels such as Slack, Telegram, Discord, or through a webhook.
Argus also integrates seamlessly with clients like Claude, Cursor, and other MCP applications. The Pro version includes a read-only REST API and signed webhooks for enhanced functionality. Users can access the tool for free for one app with a limit of 100 replies each month, while paid plans start at $29, with pricing based on the volume of replies rather than the number of seats. Moreover, there are white-label options available for agencies, allowing them to customize the service further.
Description
SCORIXA is an innovative platform for managing Google reviews that quantifies the precise revenue your business may be losing due to negative feedback, providing concrete figures instead of mere estimates and categorizing these losses by issue, review, and month. Simply enter your business name, and in just 60 seconds, SCORIXA will analyze up to 150 Google reviews, pinpointing revenue-sapping problems and creating a prioritized recovery plan that highlights the most financially impactful fixes first.
The platform utilizes AI to generate tailored response drafts for each negative review, while also detecting potential violations of terms of service to flag fake reviews and compose letters for disputes. Moreover, SCORIXA offers competitor insights, allowing you to see how your business compares with others in your area. The Recovery Center feature organizes all open reviews according to their dollar impact, ensuring you are aware of which issues need immediate attention.
Underpinning this approach is research from Harvard Business School which indicates that improving your rating by just one star can lead to a 5-9% increase in revenue, making SCORIXA particularly beneficial for restaurants, hotels, salons, clinics, and any local enterprise that relies heavily on Google reviews. This comprehensive tool not only helps in managing your reputation but also in maximizing your potential earnings.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Pricing Details
$29/month
Free Trial
Free Version
Pricing Details
$39/month
Pro Plan
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Reply Argus
Founded
2026
Country
United States
Website
www.replyargus.com
Vendor Details
Company Name
SCORIXA
Founded
2026
Country
Morocco
Website
scorixa.me
Product Features
Product Features
Review Management
Campaign Management
Dashboard
Negative Feedback Management
Response Management
Review Monitoring
Review Notification
Review Request
Sentiment Analysis
Social Sharing
White Label