同企业的品牌基础、行业竞争和内部配合不同，很难给出一个适用于所有企业的固定时间。但从管理视角看，AI全域效果通常会经历三个阶段。第一阶段：从“看不见”到“被理解”企业先完成业务表达、品牌信息和核心问题的梳理，让AI能够准确识别企业。
It is difficult to provide a fixed time that is applicable to all enterprises due to differences in brand foundation, industry competition, and internal coordination. But from a management perspective, the overall effectiveness of AI usually goes through three stages. Phase 1: From "invisible" to "understood", the enterprise first completes the sorting of business expression, brand information, and key issues, so that AI can accurately identify the enterprise.
第二阶段：从“被理解”到“被推荐”企业开始进入更多与业务相关的真实问题，逐渐成为客户的候选对象。
Phase 2: From being understood to being recommended, companies begin to delve into more real business-related issues and gradually become candidates for customers.

第三阶段：从“被推荐”到“可承接、可归因”客户从AI进入官网、公众号、店铺、客服或交易场景，企业开始观察访问、咨询、订单和成交变化。2026年7月15日生效的相关规则，说明第三阶段已经不再只是设想。但这不代表所有企业、所有行业和所有AI平台都已经完成了这条链路。企业现阶段更合理的做法，是一边建设AI认知与推荐基础，一边完善自身的流量承接和数据追踪能力。
The third stage: from "recommended" to "acceptable and attributable" customers enter the official website, official account, store, customer service or transaction scene from AI, and enterprises begin to observe the changes of visit, consultation, order and transaction. The relevant rules that will come into effect on July 15, 2026, indicate that the third phase is no longer just a concept. But this does not mean that all enterprises, industries, and AI platforms have completed this link. At present, a more reasonable approach for enterprises is to build an AI cognitive and recommendation foundation while improving their own traffic reception and data tracking capabilities.
过去，这个问题很难回答。因为AI搜索带来的品牌认知、客户咨询与非常终成交之间，缺少清晰的归因链路。企业可能知道客户“通过AI了解了我们”，却很难准确判断是哪一次回答、哪个平台、哪个问题非常终带来了订单。但现在，情况正在发生变化。2026年7月15日，抖音电商新版《商家技术服务费管理规范》和《技术服务费费率标准》正式生效。新规将豆包等特定渠道纳入技术服务费规则，来自相关渠道的订单，可以在商家结算侧被识别与归因。
In the past, this question was difficult to answer. Due to the lack of a clear attribution link between brand awareness, customer inquiries, and final transactions brought about by AI search. Enterprises may know that customers have "learned about us through AI", but it is difficult to accurately determine which response, platform, and question ultimately led to the order. But now, the situation is changing. On July 15, 2026, the new version of Tiktok E-Commerce's Technical Service Fee Management Specification and Technical Service Fee Rate Standard officially came into effect. The new regulations include specific channels such as bean buns in the technical service fee rules, and orders from related channels can be identified and attributed on the merchant settlement side.
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