OpenAI测试Business in ChatGPT，商家可创建档案和商业智能体

亿邦动力 2026-11-11 09:17

亿邦动力 2026/11/11 09:17

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总：这次最值得普通读者关注的是ChatGPT新增企业入驻入口，且尚在测试。

1.商家可在Business Hub创建商家档案、更新产品和服务信息，符合条件的还能创建商业智能体。

2.ChatGPT用户可以直接向智能体提问，了解企业业务和产品，这意味着商家多了一个被AI用户发现和比较的入口。

3.后台提供有限商业洞察，可查看资料页浏览量、被提及次数、网站点击量等，便于判断曝光效果。

总：实操上要看清边界。

1.此前ChatGPT直接下单和购物车尝试已下线，说明当前重点不是成交闭环，而是发现与连接。

2.普通读者若关注开店，可先看测试资格、资料维护、智能体问答和指标反馈。

3.文章未给出费用、开放范围和成熟运营方法，不宜把其当作成熟电商渠道，可先小步关注测试进展。

总：对品牌商而言，核心信号是AI正成为消费者发现、比较和决策的新入口，品牌需要布局AI端呈现。

1.品牌可在Business Hub建立商家档案、更新产品服务信息，并通过商业智能体直接回应用户提问，这相当于新的品牌展示与互动渠道。

2.OpenAI称用户正转向AI发现产品、比较选项并做决策，ChatGPT被定位为消费级发现引擎，品牌需关注AI场景中的可见度和信息准确性。

总：数据与渠道判断要同步看。

1.Business Insights可查看资料页浏览量、被提及次数和网站点击量，为品牌观察AI端用户行为提供有限数据。

2.此前ChatGPT直接下单和佣金模式未起势并下线，提示品牌当前应把重点放在发现、种草和问答承接，而非立即期待交易闭环。

3.文章未展开定价和价格竞争，品牌可先围绕产品信息维护、智能体话术和曝光指标做测试。

总：卖家最需关注的是ChatGPT测试企业入驻，带来AI发现流量机会，但成交闭环与扶持政策尚未明确。

1.机会：可在Business Hub创建档案、更新产品服务信息，符合条件可上线商业智能体，让ChatGPT用户直接提问了解产品，增加被比较和选择的机会。

2.数据：有限商业洞察可查看资料页浏览量、被提及次数、网站点击量，便于评估曝光和互动。

总：风险与可学习点并存。

1.风险：项目处于测试阶段，文章未给出开放范围、费用和扶持政策；此前直接下单、购物车和佣金模式已失败并于3月下线。

2.可学习点：先做AI端资料和问答承接，不把其当成熟交易渠道；关注测试进展和资格门槛，再决定投入。

3.合作方式主要是商家档案和商业智能体，而非直接平台代销，卖家应把其视为发现入口而非即时成交渠道。

总：对工厂来说，文章的直接启示是产品和服务信息要适合在AI问答中被发现和解释，数字化展示多了一个新入口。

1.机会：工厂可在Business Hub创建商家档案、更新产品和服务信息，符合条件的可建商业智能体，让ChatGPT用户直接询问业务和产品。

2.运营：需要把产品信息维护准确，因为用户会在AI中发现产品、比较选项并做决策；智能体承担产品说明和业务答疑。

总：数字化启示与边界要看清。

1.数字化：Business Insights可查看资料页浏览量、被提及次数、网站点击量，帮助判断AI端曝光效果，但数据有限。

2.边界：文章未涉及具体生产设计和订单履约；此前ChatGPT直接下单和购物车已下线，说明当前应把它视为展示与获客入口，不宜立即期待直接交易。

3.工厂可先关注测试资格、产品信息呈现和智能体问答承接。

总：服务商应关注AI商业入口带来的新服务需求：企业档案、智能体问答和效果度量。

1.趋势：OpenAI测试Business in ChatGPT，把ChatGPT推向消费级发现引擎，企业开始进入AI对话场景。

2.客户痛点：商家需要创建并维护Business Hub档案、更新产品服务信息，还要让智能体准确回答用户问题；文章只提供有限商业洞察，转化归因仍不完整。

总：可切入的解决方案与风向。

1.解决方案：可围绕商家档案搭建、产品信息梳理、商业智能体内容与问答设计、资料页浏览和被提及及网站点击等指标监测提供服务。

2.风向：此前直接下单、购物车和佣金模式失败并下线，说明服务重点应是发现与互动承接，而非承诺交易闭环。

3.服务商可关注测试进展和平台开放规则，围绕企业AI端信息呈现和问答承接设计服务。

总：对平台商而言，文章展示了OpenAI把ChatGPT企业化、商业化的一种新做法：先做发现和连接，再探索交易。

1.平台做法：OpenAI测试Business in ChatGPT，商家在Business Hub建档案、更新产品服务信息，符合条件可创建商业智能体。

2.平台需求：ChatGPT用户会向智能体提问企业业务和产品，平台需要商家供给和可问答内容来承接发现需求。

总：运营管理与风向规避。

1.运营管理：Business Insights类似分析工具，提供资料页浏览量、被提及次数、网站点击量等有限指标，便于商家看互动。

2.风向规避：此前ChatGPT直接下单、购物车和佣金模式未起势，已于3月下线；说明交易闭环和佣金变现存在不确定性。

3.平台商可关注其招商资格、收费与开放范围，但文章未披露，需防把测试当成熟渠道。

总：研究者可从文章看到AI平台从信息入口向消费发现入口演进的迹象，以及商业化路径的试错。

1.新动向：OpenAI测试Business in ChatGPT，商家可建Business Hub档案和商业智能体，ChatGPT用户直接向智能体提问了解企业产品。

2.新问题：AI对话成为产品发现、比较和决策的中介，企业信息如何被组织、问答如何影响用户判断、曝光指标如何测量，均值得研究。

总：商业模式与治理议题值得跟踪。

1.商业模式：此前直接下单、购物车和佣金模式未起势并于3月下线；当前测试强调发现与连接，交易闭环和收费模式仍待观察。

2.政策启示：文章未涉及法规建议，但平台开放商家档案、智能体和有限洞察，提示需关注AI商业信息的真实性、披露和平台责任等治理议题。

3.研究者可跟踪测试范围、数据指标和后续变现路径。

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我是品牌商卖家工厂服务商平台商研究者帮我再读一遍。

Overall: The most notable development for general readers is that ChatGPT has added a business onboarding entry point, which is still in testing.

1. Merchants can create a business profile in Business Hub, update product and service information, and eligible businesses can create commercial agents.

2. ChatGPT users can ask agents questions directly to learn about a company’s business and products, giving merchants another entry point for discovery and comparison by AI users.

3. The backend offers limited business insights, including profile page views, mention counts, and website clicks, helping merchants gauge exposure.

Overall: In practical terms, the boundaries should be clear.

1. ChatGPT’s earlier direct checkout and shopping cart experiments have been discontinued, indicating that the current focus is discovery and connection, not a closed transaction loop.

2. General readers interested in selling on the platform can first look at testing eligibility, profile maintenance, agent Q&A, and metric feedback.

3. The article does not provide pricing, availability scope, or mature operating methods, so it should not be treated as a mature e-commerce channel; readers can monitor testing progress in small steps.

Overall: For brands, the core signal is that AI is becoming a new entry point for consumer discovery, comparison, and decision-making, and brands need to establish an AI-facing presence.

1. Brands can create a business profile in Business Hub, update product and service information, and respond directly to user questions through commercial agents, creating a new channel for brand presentation and interaction.

2. OpenAI says users are turning to AI to discover products, compare options, and make decisions; ChatGPT is positioned as a consumer discovery engine, so brands need to monitor visibility and information accuracy in AI contexts.

Overall: Data and channel judgments should be considered together.

1. Business Insights shows profile page views, mention counts, and website clicks, providing limited data for brands to observe AI-side user behavior.

2. ChatGPT’s earlier direct checkout and commission models did not gain traction and were discontinued, suggesting that brands should currently focus on discovery, awareness-building, and Q&A engagement rather than expecting an immediate transaction loop.

3. The article does not elaborate on pricing or price competition; brands can first test product information maintenance, agent messaging, and exposure metrics.

Overall: The key development for sellers is ChatGPT’s test of business onboarding, which creates opportunities for AI-driven discovery traffic, but the transaction loop and support policies are not yet clear.

1. Opportunity: Sellers can create a profile in Business Hub, update product and service information, and, if eligible, launch a commercial agent so ChatGPT users can ask questions directly about products, increasing the chance of being compared and chosen.

2. Data: Limited business insights show profile page views, mention counts, and website clicks, helping sellers assess exposure and engagement.

Overall: Risks and learnings coexist.

1. Risks: The project is in testing, and the article does not specify availability scope, pricing, or support policies; earlier direct checkout, shopping cart, and commission models failed and were discontinued in March.

2. Learnings: Sellers should first build AI-side information and Q&A engagement, rather than treating this as a mature sales channel; they should monitor testing progress and eligibility thresholds before deciding on investment.

3. The collaboration model is mainly business profiles and commercial agents, not direct platform resale, so sellers should view it as a discovery entry point rather than an immediate transaction channel.

Overall: For factories, the direct implication is that product and service information must be discoverable and explainable in AI Q&A, adding a new entry point for digital presentation.

1. Opportunity: Factories can create a business profile in Business Hub, update product and service information, and, if eligible, build commercial agents so ChatGPT users can ask directly about the business and products.

2. Operations: Product information must be maintained accurately, because users will discover products, compare options, and make decisions in AI; agents handle product explanations and business Q&A.

Overall: Digital implications and boundaries should be clear.

1. Digitalization: Business Insights shows profile page views, mention counts, and website clicks, helping assess AI-side exposure, though the data is limited.

2. Boundaries: The article does not cover specific production design or order fulfillment; ChatGPT’s earlier direct checkout and shopping cart have been discontinued, indicating that this should currently be viewed as a showcase and customer acquisition entry point, not an immediate transaction channel.

3. Factories can first focus on testing eligibility, product information presentation, and agent Q&A engagement.

Overall: Service providers should note the new service demand created by AI business entry points: business profiles, agent Q&A, and performance measurement.

1. Trend: OpenAI is testing Business in ChatGPT, positioning ChatGPT as a consumer discovery engine and bringing businesses into AI conversation scenarios.

2. Customer pain points: Merchants need to create and maintain Business Hub profiles, update product and service information, and ensure agents answer user questions accurately; the article provides only limited business insights, and conversion attribution remains incomplete.

Overall: Actionable solutions and direction.

1. Solutions: Services can focus on business profile setup, product information structuring, commercial agent content and Q&A design, and monitoring metrics such as profile page views, mentions, and website clicks.

2. Direction: Earlier direct checkout, shopping cart, and commission models failed and were discontinued, indicating that services should focus on discovery and interaction engagement rather than promising a closed transaction loop.

3. Service providers can monitor testing progress and platform access rules, and design services around enterprise AI-side information presentation and Q&A engagement.

Overall: For platform operators, the article shows a new approach by which OpenAI is making ChatGPT more enterprise-oriented and commercial: first enabling discovery and connection, then exploring transactions.

1. Platform approach: OpenAI is testing Business in ChatGPT; merchants create profiles in Business Hub, update product and service information, and eligible businesses can create commercial agents.

2. Platform demand: ChatGPT users will ask agents about company businesses and products, so the platform needs merchant supply and Q&A-ready content to meet discovery demand.

Overall: Operations management and risk awareness.

1. Operations management: Business Insights functions like an analytics tool, providing limited metrics such as profile page views, mention counts, and website clicks so merchants can see engagement.

2. Risk awareness: ChatGPT’s earlier direct checkout, shopping cart, and commission models did not gain traction and were discontinued in March, indicating uncertainty around transaction loops and commission monetization.

3. Platform operators can watch merchant onboarding eligibility, pricing, and availability scope, but the article does not disclose these details, so they should avoid treating the test as a mature channel.

Overall: Researchers can see signs in the article of AI platforms evolving from information entry points into consumer discovery entry points, along with trial and error in commercialization paths.

1. New development: OpenAI is testing Business in ChatGPT; merchants can create Business Hub profiles and commercial agents, and ChatGPT users can ask agents directly about company products.

2. New questions: AI conversations are becoming intermediaries for product discovery, comparison, and decision-making; how company information is organized, how Q&A affects user judgments, and how exposure metrics are measured are all worthy of research.

Overall: Business models and governance issues merit tracking.

1. Business model: Earlier direct checkout, shopping cart, and commission models did not gain traction and were discontinued in March; the current test emphasizes discovery and connection, while transaction loops and pricing models remain to be observed.

2. Policy implications: The article does not address regulatory recommendations, but the platform’s opening of merchant profiles, agents, and limited insights highlights governance issues such as the authenticity and disclosure of AI business information and platform responsibility.

3. Researchers can track testing scope, data metrics, and future monetization paths.

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 .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

据外媒报道，为了把ChatGPT打造成更强大的消费级“发现引擎”，日前，OpenAI推出一批新功能，以帮助企业控制用户与自身业务的交互方式。

当地时间周二（11月10日），OpenAI宣布Business in ChatGPT进入测试阶段，商家可以在Business Hub里创建商家档案、更新产品和服务信息。符合条件的商家还可以创建并上线专属的“商业智能体”（Business Agent），ChatGPT用户可以直接向这个智能体提问，了解该商家的业务和产品情况。

OpenAI在声明中表示：“随着人们转向AI来发现产品、比较选项并做出决策，ChatGPT已经成为人们与企业通过AI建立连接的平台。今天的发布，是把企业更深地引入ChatGPT的早期一步。”

据悉，Business Hub还将提供有限的商业洞察数据（Business Insights），功能定位类似Google Analytics，商家可以看到ChatGPT用户如何与其产品互动，包括资料页浏览量、企业被提及次数、网站点击量等指标。

这并非OpenAI第一次尝试让ChatGPT深入商业场景。此前，OpenAI曾试图把ChatGPT变成一个用户可直接下单购买的电商入口，采用向商家收取佣金费的变现模式——当时这一尝试被视为潜在的重大营收来源，并有望让ChatGPT直接与Amazon形成竞争。但该项目最终未能起势，OpenAI已于今年3月将其下线，其中甚至包括“购物车”（Checkout Cart）功能。

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