CoSupport AI
What is Vibe Scan?
Vibe Scan offers a comprehensive brand reputation monitoring solution that leverages ChatGPT technology to analyze and track how brands are perceived across the internet. The platform aggregates discussions and sentiment data into a single, intuitive dashboard, enabling businesses to make informed decisions about their online presence.
The tool provides detailed sentiment analysis, weekly discussion breakdowns, and competitive tracking capabilities, all supported by a personal AI assistant that helps interpret data and generate actionable insights. With features like searchable sentiment analysis and real-time alerts, Vibe Scan empowers businesses to actively manage and improve their online reputation.
Features
- Sentiment Analysis: Advanced scoring system for brand perception tracking
- Discussion Dashboard: Comprehensive view of analyzed brand discussions
- AI Assistant: Personal assistant for data interpretation and insights
- Weekly Scanning: Regular updates on brand perception changes
- Competitive Analysis: Track and compare sentiment scores with competitors
- Searchable Discussions: Filter and find important brand mentions
- Alert System: Notifications for new weekly scan results
- Impact Monitoring: Track how changes affect brand sentiment
Use Cases
- Brand reputation management
- Customer sentiment tracking
- Competitive analysis
- Marketing strategy optimization
- Customer feedback analysis
- Brand perception monitoring
- Crisis management
- Market research
FAQs
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How often does Vibe Scan update its analysis?
Vibe Scan performs weekly scans of your brand's online presence and sends notifications when new scans are completed. -
What type of insights does the AI assistant provide?
The AI assistant helps understand the data, provides insights into improving brand sentiment, and assists in interpreting discussion patterns and trends. -
How does the sentiment scoring system work?
The sentiment score indicates the impression potential customers are likely to obtain about your brand, categorizing discussions into Positive, Neutral, and Negative sentiments.
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