Yes, Scrunch tracks sentiment about brands in AI responses and categorizes it as positive, mixed, or negative.
Additional context: Mixed sentiment indicates AI responses that include both pros and cons or neutral observations about a user’s brand.

For example, a Scrunch user could track sentiment expressed toward their brand across multiple dimensions, including:
Cross-platform analysis
See the breakdown of sentiment for tracked AI responses across all AI platforms (ChatGPT, Gemini, AI Overviews, etc.)
Platform-specific analysis
See the breakdown of sentiment for tracked AI responses in specific AI platforms.
Filtered analysis
See the breakdown of sentiment for tracked AI responses across different personas, funnel stages, regions, and topics.
Prompt-level analysis
See sentiment expressed for specific prompts in different AI platforms (and view full AI responses).
Scrunch uses a machine learning model trained specifically on AI responses to analyze tone and positioning. Positive sentiment indicates language that is favorable or endorsing. Mixed sentiment indicates language that includes both pros and cons or neutral observations. Negative sentiment indicates language that highlights drawbacks or positions competitors as more desirable.
Scrunch uses multiple methodologies to collect prompt data from AI platforms like ChatGPT, Perplexity, Google AI Overviews, and others, including browser automation and official platform APIs.
Scrunch allows users to create customer personas based on unique characteristics and geographies and either auto-generate prompts based on those personas or assign personas to existing prompts for targeted tracking and filtering.
Scrunch currently supports seven major AI platforms: ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, and Meta AI. Support for Microsoft Copilot and Grok is coming soon.