Yes, Scrunch lets users filter data based on persona, funnel stage, and more to enable precise analysis of brand performance across customer segments and buyer journey stages.

For example, imagine a Scrunch user at an airline wants to understand brand visibility across different customer types and buying journey stages:
Filtering by persona
They can create personas like “budget-conscious traveler” and “family vacation planner” in the Context tab, then compare how their brand performs for each customer type.
Filtering by funnel stage
They can analyze performance at advice, awareness, evaluation, and comparison stages to identify where brand visibility rises or falls in the buyer journey.
Combining filters
They can pair persona and funnel filters to discover that budget travelers rarely see their brand during the evaluation stage, revealing a specific optimization opportunity.
Scrunch users can filter data based on branded versus non-branded prompts, custom tags, persona, country, prompt topic, AI platform, funnel stage, brand presence in response, competitor presence in response, and citation owner (Citations tab only).
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.