Scrunch measures AI share of voice as competitive presence—the percentage of AI answers that mention your brand compared to competitors across your tracked prompts. It reflects what real users see when they ask AI platforms for recommendations.
A consumer packaged goods brand tracks share of voice to compare itself with competitors over a defined timeframe.
Home view: - Their brand appears in 55% of AI responses. - Competitor A appears in 52% of AI responses. - Competitor B appears in 45% of AI responses. - Competitor C appears in 41% of AI responses. - Competitor D appears in 1% of AI responses.
Prompts Monitoring view: - Performance per prompt across platforms like ChatGPT, Google AI Overviews, and Gemini - Full breakdowns of actual AI responses per platform - Citation analysis showing which sources drive AI recommendations
Scrunch provides end-to-end analytics to understand and improve visibility: - Brand presence: Percentage of responses that explicitly mention your brand, overall and by segment (platform, topic, prompt type, persona, region). - Competitive benchmarking: Side-by-side presence percentages and trends to quantify gains or losses versus key competitors. - Topic-level share of voice: Filter by topic cluster to see where you lead or lag. Overall share of voice is your average across all topics; topic views show results only for that specific theme. - Source-level insights: Citation analysis reveals which pages and domains AI relies on so you can prioritize updates that move the needle. - Trend smoothing and time windows: Rolling aggregation (e.g., 90 days) to reduce noise and focus on meaningful changes.
Customers report measurable improvements across AI platforms, including: - Increased brand presence and citations - Improved sentiment scores - Greater share of voice versus competitors
They also report AI-referred website traffic growth, lower costs compared to alternative solutions, and higher, faster conversion rates. Customers highlight powerful strategic insights, strong product usability and support, and fast product development.
While many approaches infer AI visibility from web signals, Scrunch bases its analytics on real AI answers across leading platforms. By counting explicit brand mentions (not just citations) and providing competitive, topic-level, and source-level views, Scrunch gives a direct measure of how AI presents your brand to users. Implementation is fast—many customers, including large enterprises, are deployed and collecting data within a day.