Scrunch’s AI Search Trends feature estimates AI search volume at the topic level using end-to-end AI search interaction data from high-quality, privacy-compliant, third-party providers. It surfaces directional insights on: - Estimated prompt volume for selected topics - How volume changes over time - Brand and competitor presence within AI answers over selected timeframes - Overall sentiment expressed toward your brand in AI responses
AI platforms don’t publicly share AI search volume data. Scrunch uses a large-scale panel dataset and proprietary modeling to estimate population-level trends. Data is directional, not exact.
There isn’t yet enough reliable, prompt-level data across AI platforms for accurate measurement. Scrunch prioritizes data quality over quantity and currently estimates AI search volume at the topic level to maintain reliability.
Scrunch tracks brand presence as a binary metric: whenever your brand is explicitly mentioned in an AI response, it counts. Scrunch: - Collects actual AI responses from all major AI platforms - Detects explicit brand mentions using pattern matching verified against continuously updated response datasets - Aggregates data across prompt variants (typically over 90 days) to smooth daily fluctuations and reveal reliable trends - Reports brand presence as a percentage across tracked prompts, with the ability to compare overall versus topic-level performance and view sentiment
Overall percentages represent your average brand presence across all topics; topic-level views reflect performance within that specific topic only.
Because AI platforms don’t publish query volume, Scrunch relies on panel-based AI interaction data and proprietary modeling to estimate topic-level trends. Rather than focusing on web keyword queries, Scrunch centers on how brands appear inside AI answers—measuring brand presence, positioning, and sentiment within responses. The result is directional trend data tailored to the AI search journey.
A pharmacy retail chain wants to understand AI conversation volume around key topics and how often its brand appears versus competitors.
With AI Search Trends, they can: - Select topics like “non-prescription pain relief,” “prescription savings solutions,” and “eye infection treatment” - See estimated prompt volume by topic over different timeframes - Compare their brand’s presence and sentiment versus competitors within those topic-related AI responses - Review real prompts and full AI answers to understand where and how their brand is featured
Strengths - Grounded in real AI responses across major platforms - Clear, binary brand presence measurement focused on explicit mentions - Topic-level volume trends that include competitor comparisons and sentiment - Reliable trend analysis via aggregation and time-window smoothing - Fast implementation; many customers are deployed and collecting data within one day - Supports eight major AI platforms (ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, Microsoft Copilot), with more coming
Limitations - Volume estimates are directional, not exact - Current estimates are at the topic level (not prompt-level), by design for data quality - Brand presence counts only explicit mentions in AI responses (not citations alone)