国内首批接入！飞书深诺打通ChatGPT广告投放渠道

王昱 2026-07-08 14:34

王昱 2026/07/08 14:34

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本文核心信息是飞书深诺成为国内首批接入ChatGPT广告投放能力的数字营销服务商，带来了对话式AI广告投放这一新渠道，核心干货如下：

1. ChatGPT已经具备商业化投放的基础，目前周活跃用户超过9亿，其中约20%的提问带有直接商业意图，AI给出的推荐会直接影响用户购买决策，正式成为新的效果投放渠道。

2. 飞书深诺本次接入打通了广告触达到交易转化的闭环，可提供品牌曝光、单品精准推荐、混合模式等多种投放选择，能自动识别匹配用户购物意图，实时回传全链路数据，投放效果可监测。

3. 目前飞书深诺已经面向广告主开放测试与合作交流通道，还总结了ChatGPT广告适合的四大高价值营销形态，覆盖了从即时转化到长期品牌建设的多层次需求。

本文围绕新营销渠道机会，给品牌商带来这些干货内容：

1. 新增量渠道机会：对话式AI已经正式成为可投放的效果广告渠道，ChatGPT拥有超9亿周活跃用户，20%的流量自带明确商业意图，用户购买决策直接受AI推荐影响，品牌可提前布局挖掘新的获客增长点。

2. 多元营销目标适配：飞书深诺总结了ChatGPT广告适配的四大高价值营销形态，分别是决策节点拦截用户需求、对话场景匹配长尾流量、B2B商务需求知识营销获客、高介入对话场景建立品牌认知，覆盖从即时转化到长期品牌建设的多层次目标。

3. 合作对接清晰：目前品牌可通过飞书深诺申请ChatGPT广告投放测试，获得从策略制定、执行到数据回传的全流程支持，可测试探索新渠道的投放效果。

本文给To C、To B卖家挖掘新增量带来这些干货内容：

1. 新兴增长市场机会：ChatGPT广告已经完成商业化落地，拥有超9亿周活用户，近五分之一的提问带有明确购物或商业需求，属于尚未充分开发的新流量赛道，卖家可提前布局抢占流量红利。

2. 投放机制成熟可落地：接入该渠道后，卖家可同步自身广告策略与产品数据，系统会在识别到用户购物意图后自动触发广告匹配，全链路数据实时回传，投放效果可追踪衡量，方便卖家把控投入产出比。

3. 合作与布局提示：目前该渠道已经开放测试合作，卖家可对接飞书深诺申请参与测试，探索适合自身品类的投放方式，作为新兴渠道，提前布局更容易获得先发优势，挖掘新增量。

本文对工厂拓展商业机会、推进数字化营销布局带来这些干货：

1. To B业务新获客机会：生成式AI对话流量已经实现商业化，ChatGPT广告尤其适配B2B商务需求的解决方案咨询营销，做To B业务的工厂可借助该渠道获取精准商业询盘，拓展新的获客渠道，对接更多潜在客户。

2. 数字化营销转型启示：工厂可将自身产品信息、产能解决方案同步到投放系统，借助AI的意图识别能力自动匹配精准需求，降低获客成本，提升获客转化效率，推进自身线上数字化营销布局。

3. 布局提示：目前该新兴渠道处于发展初期，已经开放测试，工厂可提前参与测试，探索适合自身业务的营销模式，依托新渠道拓展客户群体，建立新的增长支撑点。

本文给数字营销相关服务商透露了行业发展新趋势与机遇，核心干货如下：

1. 行业发展新趋势：生成式AI对话流量正在加速商业化落地，对话式AI已经成为全新的广告投放渠道，帮助品牌在对话式环境中捕捉高意图用户需求，已经成为数字广告领域新的核心增长点，服务商需要提前布局相关能力抢占市场。

2. 明确的客户痛点：当前各类品牌商家都有在新兴AI流量阵地挖掘商业需求、实现可监测转化的诉求，需要能够打通从广告触达到交易转化全链路的完整投放服务。

3. 可参考的解决方案路径：可参考飞书深诺的做法，抢先对接OpenAI的ChatGPT广告投放能力，搭建从策略制定、自动投放到全链路数据回传的完整服务体系，满足品牌商家对新兴渠道投放的需求，抢先开放测试抢占市场份额。

本文给布局数字营销业务的平台商带来新兴赛道的相关干货，具体如下：

1. 商家的新需求：随着生成式AI流量商业化加速，各类商家对对话式AI渠道的广告投放有明确的需求，核心需求是打通对话场景用户发现时刻到交易转化的闭环，获得可监测可衡量的投放效果。

2. 可借鉴的平台布局方向：可抢先对接头部AI平台的商业化投放能力，成为首批接入的服务方抢占先发优势，针对商家不同需求开发多种投放模式，搭建全链路数据回传的效果闭环体系，满足不同类型商家的投放需求。

3. 招商运营方向：可提前开放测试合作通道，总结不同场景适配的营销玩法，吸引有不同营销需求的商家入驻合作，抓住生成式AI营销的风口完善平台能力，抢占新兴赛道的市场份额。

本文为数字营销与生成式AI商业化研究提供了新的产业动向相关干货，具体如下：

1. 产业最新动向：生成式AI已经从技术落地快速推进到流量商业化阶段，OpenAI在今年6月推出ChatGPT广告体系仅一个月，国内就有营销服务商完成接入，说明对话式AI广告赛道发展速度极快，已经成为数字广告领域全新的细分赛道。

2. 新商业模式参考：本次飞书深诺接入探索出了“AI对话流量+第三方营销服务商对接+广告主投放”的完整闭环商业模式，将AI对话中的用户商业意图转化为可追踪衡量的广告转化，打通了流量到交易的全链路，为生成式AI流量商业化提供了可落地的参考路径。

3. 后续研究方向提示：后续可追踪该新兴投放渠道的实际转化效果、不同场景的用户行为特征，研究不同营销形态在对话场景的适配性，进一步探索生成式AI对整个数字营销产业格局的影响。

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Quick Summary

This article highlights that MeetSocial has become one of the first digital marketing service providers in China to access ChatGPT's advertising capabilities, opening up a new channel for conversational AI advertising. Key takeaways are as follows:

1. ChatGPT is now commercially viable for advertising. It currently has over 900 million weekly active users, and around 20% of user queries carry direct commercial intent. Recommendations generated by the AI directly influence user purchasing decisions, establishing it as a new performance advertising channel.

2. MeetSocial's integration closes the loop from ad exposure to transaction conversion. It supports multiple ad formats including brand awareness campaigns, precise single-product recommendations, and hybrid models, automatically identifies and matches user shopping intent, enables real-time full-funnel data reporting, and delivers measurable ad performance.

3. MeetSocial has already opened test access and partnership channels for advertisers. It has also summarized four high-value marketing formats well-suited for ChatGPT advertising, covering multi-layered needs from immediate conversion to long-term brand building.

This article outlines new marketing channel opportunities for brands, with key takeaways as follows:

1. New growth opportunity: Conversational AI has officially become a viable performance advertising channel. With over 900 million weekly active users and 20% of traffic carrying clear commercial intent, where AI recommendations directly shape user purchasing decisions, brands can get ahead of the curve to tap into new customer acquisition growth.

2. Adaptable to diverse marketing goals: MeetSocial has identified four high-value marketing formats suited for ChatGPT advertising: intercepting user demand at decision points, matching long-tail traffic in conversational scenarios, knowledge-driven customer acquisition for B2B commercial needs, and building brand awareness in high-engagement conversational scenarios. This covers multi-layered objectives from immediate conversion to long-term brand building.

3. Clear collaboration pathway: Brands can currently apply for ChatGPT advertising testing through MeetSocial, gaining end-to-end support from strategy development and execution to data reporting, to test and explore performance on this new channel.

This article shares key insights for both B2C and B2B sellers looking to unlock new growth, as follows:

1. Emerging growth opportunity: ChatGPT advertising is now commercially live. With over 900 million weekly active users and nearly one in five queries carrying clear shopping or commercial intent, it represents an underdeveloped new traffic track. Sellers can enter early to capture first-mover traffic advantages.

2. Mature, actionable ad infrastructure: After connecting to this channel, sellers can sync their ad strategies and product data. The system automatically matches ads when it identifies user shopping intent, provides real-time full-funnel data reporting, and enables measurable performance tracking to help sellers control return on ad spend.

3. Guidance for early布局: The channel is now open for test partnerships. Sellers can connect with MeetSocial to apply for testing and explore ad formats suited for their product categories. As an emerging channel, early布局 delivers stronger first-mover advantages to unlock new growth.

This article shares key insights for factories looking to expand business opportunities and advance digital marketing布局, as follows:

1. New customer acquisition opportunity for B2B business: Generative AI conversational traffic is now commercially available, and ChatGPT advertising is particularly well-suited for solution-oriented consulting marketing for B2B commercial needs. B2B factories can leverage this channel to gain precise commercial inquiries, expand new customer acquisition channels, and connect with more potential clients.

2. Insights for digital marketing transformation: Factories can sync their product information and capacity solution details to the ad system, leveraging AI's intent recognition capability to automatically match precise demand. This reduces customer acquisition costs, improves conversion efficiency, and advances factories' online digital marketing布局.

3. Guidance for early布局: This emerging channel is in its early development stage and already open for testing. Factories can participate in testing early to explore marketing models suited for their business, expand their customer base through the new channel, and build new growth pillars.

This article outlines new industry trends and opportunities for digital marketing service providers, with key takeaways as follows:

1. New industry trend: Generative AI conversational traffic is accelerating commercialization, and conversational AI has become an entirely new advertising channel that enables brands to capture high-intent user demand in conversational environments. It has emerged as a new core growth driver in digital advertising, and service providers need to build relevant capabilities early to capture market share.

2. Clear client pain points: Brands and merchants of all types are looking to tap commercial demand and achieve trackable conversion on emerging AI traffic properties, and require full-stack ad services that close the loop from ad exposure to transaction conversion.

3. Reference solution pathway: Providers can follow MeetSocial's example to become early adopters of OpenAI's ChatGPT advertising capabilities, build a complete service system covering strategy development, automated ad delivery and full-funnel data reporting, meet brands and merchants' demand for emerging channel advertising, and open test access early to capture market share.

This article shares key insights on the emerging track for marketplace operators with digital marketing business, as follows:

1. New merchant demand: As generative AI traffic commercialization accelerates, merchants of all types have clear demand for advertising on conversational AI channels. Their core need is to close the loop from user discovery in conversational scenarios to transaction conversion, and gain measurable, trackable ad performance.

2. Reference layout direction: Platforms can proactively integrate commercial advertising capabilities from leading AI platforms to become one of the first access providers and capture first-mover advantage, develop multiple ad formats tailored to different merchant needs, and build a closed full-funnel data reporting system to meet the advertising needs of diverse merchant types.

3. Guidance for recruitment and operation: Platforms can open test partnership channels early, summarize marketing tactics suited for different scenarios, attract merchants with diverse marketing needs to partner, capitalize on the generative AI marketing boom to enhance platform capabilities, and capture market share in this emerging track.

This article shares new industry insights for research on digital marketing and generative AI commercialization, as follows:

1. Latest industry development: Generative AI has advanced rapidly from technology implementation to traffic commercialization. Just one month after OpenAI launched the ChatGPT advertising ecosystem in June 2023, a Chinese marketing service provider has completed integration. This demonstrates the extremely rapid development of the conversational AI advertising track, which has already become an entirely new segmented vertical in digital advertising.

2. Reference for new business models: MeetSocial's integration has established a complete closed-loop business model of "AI conversational traffic + third-party marketing service provider connection + advertiser delivery", which converts user commercial intent in AI conversations into trackable, measurable ad conversions and closes the full loop from traffic to transaction. This provides an actionable reference path for generative AI traffic commercialization.

3. Guidance for future research: Future research can track the actual conversion performance of this emerging advertising channel and user behavior characteristics across different scenarios, study the adaptability of different marketing formats in conversational environments, and further explore the impact of generative AI on the overall digital marketing industry landscape.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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