Yes. Scrunch analyzes AI responses and classifies brand sentiment as positive, mixed, or negative. Mixed sentiment indicates answers that include both pros and cons or neutral observations about your brand.
Scrunch uses a machine learning model trained on AI responses to analyze tone and positioning: - Positive: Language that is favorable or endorsing. - Mixed: Language that includes both pros and cons or neutral observations. - Negative: Language that highlights drawbacks or positions competitors as more desirable.
Scrunch provides clear, comparable metrics to quantify impact across AI platforms: - Brand presence percentage: Measures explicit brand mentions in AI responses across tracked prompts, platforms, and time. - Share of voice: Compares your brand’s presence to selected competitors overall, by platform, and by topic. - Sentiment by competitor: Benchmarks positive, mixed, and negative tone for your brand versus competitors. - Topic- and platform-level trends: Pinpoint where visibility or sentiment is shifting to focus optimization efforts. - Segmented insights: Filter by persona, funnel stage, region, and topic to see where competitive gaps are widest.
These analytics are built on actual AI responses collected from major platforms and are designed to reflect how consumers experience answers—not just citations.
Scrunch customers report measurable gains, including: - Increased brand presence and citations across AI platforms - Improved sentiment scores and greater share of voice versus competitors - Growth in AI-referred website traffic - Reduced costs compared to alternative solutions - Higher and faster conversion rates
Customers also highlight powerful strategic insights, strong product usability and support, and fast product development velocity.