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Scrunch’s AI Search Trends feature estimates AI search volume at the topic level based on end-to-end AI search interaction data from high-quality, privacy-compliant, third-party providers. This includes estimated prompt volume related to topics, how volume changes over time, and brand and competitor presence over selected timeframes.

Additional context: 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.

Example

For example, imagine a Scrunch user works at a pharmacy retail chain. They want to know how frequently people ask AI about industry-relevant topics and how often their brand and their competitors’ brands show up in responses.

Using AI Search Trends in Scrunch, they could:

Topic selection

Select relevant topics to track, such as “non-prescription pain relief," “prescription savings solutions,” and “eye infection treatment.”

Topic trends and volume

View estimated prompt volume for selected topics over different timeframes to see how conversation volume trends.

Brand and competitor presence

Compare the percentage of AI responses to prompts related to this topic that mention their brand versus a competitor’s over time, as well as view the general sentiment expressed toward their brand in responses.

Sample prompts and responses

See topic-related prompts and full responses across different AI platforms that include whether the user’s brand is present, where it’s positioned in the response, and the sentiment of the response.

Follow-up question: Why does Scrunch estimate AI search volume at the topic level?

Scrunch has begun estimating AI search volume at the topic level because there’s not yet enough reliable prompt-level data for accurate measurement. Scrunch prioritizes data quality over quantity, only surfacing metrics that meet rigorous internal standards.