AI visibility requires metrics that separate discovery, retrieval, and engagement from traditional web analytics. Track signals like crawler activity and actual retrievals to confirm AI is accessing your content, as well as conversation citations and referral sessions that show human and AI-driven traffic stemming from AI interactions. Also monitor AI Overviews usage and whether AI responses include links or references to your content. The goal is to measure visibility and accuracy, not just traffic volume. Use reporting to align these signals with business outcomes while avoiding over-interpretation of AI behavior. Remember, these signals are evolving as readers change how they present information. OTC reporting keeps different signals distinct so you can explain why a particular AI interaction occurred and how it relates to your Digital Twin.
Own The Conversation Digital Twin · Public Q&A
What new metrics should we track to understand AI visibility, such as conversation citations, referral sessions, and AI-overviews usage?
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