

作者:創始人 更新時間:2026-07-13 14:45:22
同企業的品牌基礎、行業競爭和內部配合不同,很難給出一個適用于所有企業的固定時間。但從管理視角看,AI全域效果通常會經歷三個階段。第一階段:從“看不見”到“被理解”企業先完成業務表達、品牌信息和核心問題的梳理,讓AI能夠準確識別企業。
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.
第二階段:從“被理解”到“被推薦”企業開始進入更多與業務相關的真實問題,逐漸成為客戶的候選對象。
Phase 2: From being understood to being recommended, companies begin to delve into more real business-related issues and gradually become candidates for customers.

第三階段:從“被推薦”到“可承接、可歸因”客戶從AI進入官網、公眾號、店鋪、客服或交易場景,企業開始觀察訪問、咨詢、訂單和成交變化。2026年7月15日生效的相關規則,說明第三階段已經不再只是設想。但這不代表所有企業、所有行業和所有AI平臺都已經完成了這條鏈路。企業現階段更合理的做法,是一邊建設AI認知與推薦基礎,一邊完善自身的流量承接和數據追蹤能力。
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.
過去,這個問題很難回答。因為AI搜索帶來的品牌認知、客戶咨詢與非常終成交之間,缺少清晰的歸因鏈路。企業可能知道客戶“通過AI了解了我們”,卻很難準確判斷是哪一次回答、哪個平臺、哪個問題非常終帶來了訂單。但現在,情況正在發生變化。2026年7月15日,抖音電商新版《商家技術服務費管理規范》和《技術服務費費率標準》正式生效。新規將豆包等特定渠道納入技術服務費規則,來自相關渠道的訂單,可以在商家結算側被識別與歸因。
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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