Scrunch tracks citation quality in the form of an Influence Score in addition to citation frequency.

Additional context: Influence Score measures how broadly and consistently a source shapes AI responses, not the editorial quality of the source content itself.

Example

For example, when viewing citation data in Scrunch, users can see:

• Prompts: The unique number of prompts that have cited a source for any response over a time period
• Responses: The number of responses that have cited a source over a time period
• Citation Consistency: The percentage of responses that have cited a source, which is calculated by dividing the number of responses that have cited the source by the total number of responses that cited any source
• Influence Score: The percentage of responses that have cited the source multiplied by the unique number of prompts

Follow-up question: How do I improve my citation rate in AI platforms?

Scrunch recommends increasing brand mentions in cited sources as well as strategically winning citations in AI platforms.

If trying to increase brand mentions: Users should reach out to third-party sources to try to get their brand placed in content. There are also purpose-built tools, like Noble and Stacker, designed to help brands scale mentions in cited sources.

If trying to win citations in AI platforms: Users should analyze existing source content to identify how they can update or create content to beat it with better structuring, metadata, intent focus, and unique information.