真实人工智能对话中的购买建议和可观察的买家反应

生成助理多久会说服某人购买或说服他们不购买？对话日志包含建议，但不一定记录后续决策。 We audit 317 historical interactions from Aiso's proprietary research database of licensed, consent-based, de-identified conversations with commercially available AI assistants.单智能体AI辅助筛查识别68条采购记录； collapsing one shared-prefix copy yields 67 retained episodes, dated April 2023 to July 2025. Assistant responses provide candidate options, acquisition channels, or conditional preferences in 52 episodes (77.6%).其中一集包含有条件地重定向离开指定的住宿候选人。没有任何事件被编码为放弃或推迟购买类别的建议。 Only 18 episodes (26.9%) contain a subsequent user turn within the same purchase-related mission, compared with 23 (34.3%) that contain any later user turn.因此，仅使用对话深度就将后续可用性夸大了 27.8%。在 47 条保留的用户后续消息中，没有观察到明确的建议后购买承诺、完成购买报告或购买类别放弃声明。这些零描述的是记录的陈述，而不是转化率或说服率。该论文提供了操作定义、无文本注释和可重复的描述性结果。其核心发现是测量限制：推荐内容比购买者的后续决定更容易被观察到。 The selected historical sample, unvalidated AI annotations, and missing transaction outcomes do not support a population-level or causal estimate of persuasion.