商家可在ChatGPT“开店”了！OpenAI测试Business in ChaGPT

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.