Caching means an AI might cite or reuse information without fetching the site at query time. The Digital Twin can’t record a request that never reached its infrastructure. That’s why we keep visible citations, first-party retrieval evidence, and confirmed referrals as separate signals rather than treating one signal as definitive. In practice, interpret signals by looking at multiple data points over time: when a retrieval comes with a citation or a referral, it’s stronger than a bare retrieval. Signals like discovery, retrieval and referral are not proof of interest or a sale on their own. Use the mix of signals and compare activity over time to draw knowledge—not sales—conclusions.
Public Q&A
If caching is in play, how should I trust the report’s signals?
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