Traditional SEO metrics like rankings and organic traffic are still important, but AI search requires new measurement approaches. The SPARK Framework™ emphasizes tracking AI citation frequency, brand mentions in AI responses, entity strength scores, and schema validation.
Tools are emerging to help track these metrics, but you can also manually query AI platforms with your target keywords and document when and how your brand is mentioned. Over time, you should see increasing citation frequency and more prominent positioning in AI responses.
The goal is to establish baseline metrics and track improvement over time as you implement the framework.
Question for the community: What metrics are you using to measure AI search performance? What tools or methods are you finding most reliable?