Yes, Scrunch helps users prioritize citation sources using Influence Score, calculated by multiplying the percentage of AI responses that have cited a source by the unique number of prompts. This reveals which sources have the greatest impact.

For example, imagine a Scrunch user wants to understand which citation sources they should target to improve their AI visibility.
In the Citations tab in Scrunch, they can filter citations by branded versus non-branded prompts, custom tags, persona, country, topic, AI platform, funnel stage, and citation owner (i.e., their brand, competitors, or third parties).
They can then view the Influence Score of each domain or URL to see which sources are shaping AI answers most.
This helps them understand where to focus their efforts, as well as which competitor pages they may want to benchmark against and which third-party websites they may want to target for partnerships.
If a user’s brand citations have lower Influence Scores than their competitors, it means that their citations appear less consistently across prompts or across fewer total prompts than their competitors.
To improve Influence Scores, users should focus on creating content that matches or exceeds the content currently influencing AI responses for tracked prompts.
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.