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Description
AuraWatcher is an AI-driven tool designed to monitor reputations by analyzing the comment sections of public social media profiles, currently focusing on TikTok, to identify potential reputation threats before they escalate. Rather than relying solely on keyword matching, its advanced language model comprehensively understands nuances like sarcasm, irony, and slang, categorizing comments into various threat types such as harassment, legal risks, boycott calls, and physical threats, while assigning severity scores ranging from 1 to 100 based on severity, reach, and speed of propagation. The tool also features surge detection to identify coordinated attacks and distinguishes between new hostility and older comments that have resurfaced. Users can easily add any public profile using the handle without needing to log in or provide passwords, and the tool checks recent posts at specified intervals, focusing on the most prominent comments. When the monitored activity surpasses user-defined thresholds, alerts are sent via email, browser notifications, or Telegram, complete with easy-to-understand summaries. Additionally, a user-friendly dashboard provides insights into trends, active alerts, resolution times, and the status of each profile being monitored. For agencies and enterprise users, upgraded tiers offer enhanced features like multi-profile management, team collaboration tools, and the ability to integrate with custom systems, ensuring comprehensive reputation oversight across a broader range of profiles. This multifaceted approach empowers users to stay ahead of potential reputation issues effectively.
Description
Ziksta is an AI-powered restaurant feedback intelligence platform built specifically for multi-location restaurant brands that need better visibility into customer experience across their network. The platform connects to Google Business Profiles and collects in-store feedback from guests, combining both sources to create a comprehensive view of how each outlet is performing. Using sentiment analysis, natural language processing, and NPS tracking, Ziksta interprets thousands of reviews and feedback signals to identify operational patterns and performance issues. Instead of overwhelming teams with raw data, the platform highlights clear insights such as service delays, staff behavior concerns, or food quality inconsistencies. These insights are translated into actionable recommendations that each outlet can follow to improve performance. Ziksta also helps headquarters teams distinguish between localized problems and brand-wide issues, ensuring that operational improvements are targeted and effective. Through a unified dashboard, leadership and restaurant managers can track trends, identify underperforming locations, and monitor improvements over time. By transforming customer feedback into structured operational intelligence, Ziksta enables restaurant chains to maintain brand standards, respond to customer concerns faster, and protect their online reputation before ratings decline.
API Access
Has API
API Access
Has API
Screenshots View All
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Screenshots View All
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Integrations
TikTok
Pricing Details
$49/month
Free Trial
Free Version
Pricing Details
$50
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
AuraWatcher
Founded
2026
Country
Poland
Website
aurawatcher.com
Vendor Details
Company Name
Ziksta
Founded
2025
Country
Finland
Website
www.ziksta.com
Product Features
Reputation Management
Campaign Management
Gamification
Response Management
Review Generation
Review Monitoring
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
White Label