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A central finding is a measurement limitation: recommendation content is observable much more often than a buyer's subsequent decision.
Categorical results support session-level measurement for AI search, and length-matched nulls show that low lexical coverage is largely a consequence of turn length, so vocabulary results are interpreted as information availability, not semantic drift.
This study directly test whether that omitted within-conversation context changes answers in a conversation and concerns preceding turns in the same conversation and does not test persistent memory across separate conversations.
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