Reading the Citation Influence Score

Not all citations are equal

An AI engine citing Wikipedia in passing isn't the same as the same engine recommending a Reddit thread that mentions your brand by name.

The Citation Influence Score weights every cited source by:

• Frequency — how often the source appears across your tracked prompts
• Reach — how many distinct prompts and engines surface it
• Recommendation weight — whether the source is being used to recommend something or just provide background
• Side boost — whether the source supports you, a competitor, or is neutral

How to use it

1. Filter /citations to brand-supporting sources sorted by influence.
2. The top 5 are your moat — protect those relationships, ask for refreshes, and make sure the content stays accurate.
3. Switch to competitor-supporting to see who's doing the work for your rivals. Those are your highest-leverage outreach targets.
4. Switch to gaps to surface high-influence sources that mention neither you nor competitors — net-new earned media plays.

Why this beats a flat backlink count

Backlink counts assume every link is worth the same. Citation influence is weighted by what the engines actually do with each source — which is the metric that moves your AI visibility.