Meta联手Shopify等制定AI代理协议，亚马逊未加入

亿邦动力 2026-10-09 15:00

亿邦动力 2026/10/09 15:00

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这篇文章对普通读者的干货是：AI代理购物正在变成现实，一套让AI替你做主购物的规则已经出现。

1. 以后可以让AI代理搜索商品、比价甚至下单，商家能通过个人代理协议核实AI是否真的获得你授权，并在授权范围内使用必要信息、完成支付，不能翻阅无关个人数据。

2. 支付环节将更安全：AI代理可以在不把消费者信用卡信息直接交给商家的情况下完成购买，减少信息泄露风险。

3. 消费者行为已经发生变化：有用户原本会在亚马逊购买的商品，现在通过AI代理转向Shopify支持品牌独立站购买，购物入口可能从平台转向AI推荐。

4. 需要留意的实操点：目前亚马逊没有加入这项协议，且对第三方AI代理封禁较严，使用AI代购时要注意平台是否允许、授权是否明确、支付和退换货规则是否清楚。

品牌商能从这篇文章读到一条重要信号：AI代理正在成为新的流量入口，品牌独立站可能获得绕过综合电商平台的直接订单。

1. 渠道机会：AI代理会根据消费者的具体需求和购买意向，把流量直接引导至符合条件的品牌独立站，品牌商有机会获得需求更明确的潜在客户，并减少对传统电商平台流量入口的依赖。

2. 标准与成本：Meta、Shopify、Stripe、沃尔玛等企业正在推行个人代理协议，未来商家可以用一套通用规则接待AI代理消费者，降低逐一适配不同AI产品带来的成本。

3. 数据控制权：协议仍让商家保留对用户数据、交易授权和服务流程的控制权，AI代理只能访问必要信息，这对品牌信任和合规经营很重要。

4. 消费趋势观察：部分消费者已经在用AI代理把亚马逊订单转向品牌独立站，品牌商应重新评估渠道结构、独立站能力以及与AI代理生态的对接方式。

对卖家而言，核心干货是：AI代理正在重塑流量规则，新的开放协议可能带来独立站增长机会，同时也有平台限制风险。

1. 机会提示：Meta联合Shopify、Stripe、沃尔玛等企业制定统一标准，卖家今后可能用一套通用规则接待AI代理带来的消费者，减少适配成本，并获得需求更明确的订单。

2. 流量变化：AI代理可以根据消费者的购买意图直接推荐符合条件的品牌独立站，卖家可能减少对亚马逊等综合电商平台的流量依赖，拓展新的增长市场。

3. 风险提示：亚马逊尚未加入协议，并且已经限制Muse、屏蔽Perplexity、还对后者提起诉讼；如果卖家主要依靠亚马逊，第三方AI代理带来的流量可能无法顺利落地。

4. 应对措施：重点关注PAPv0.1规范在10月底发布后的细则，提前准备好独立站商品信息、库存、支付授权等环节，并考虑多平台布局来承接AI代购需求。

对工厂而言，这篇文章的干货集中在订单入口和数字化对接方式的变化：AI代理购物一旦普及，生产制造端也需要参与更标准化的信息体系。

1. 新的商业机会：AI代理会把消费者引向能被准确识别和推荐的品牌独立站，下游品牌商可能会获得更多直达订单，代工或供应商订单来源也将随之改变。

2. 产品信息和生产能力要求：商品要想被AI代理顺利找到和下单，工厂必须配合品牌商把产品目录、价格、库存等信息整理得更机器可读，并通过API等方式对接电商系统。

3. 标准和支付变化：PAP基于OAuth授权技术，支持AI代理通过企业网站、API或企业自有AI代理与商家交互，还计划引入不直接提交信用卡的支付功能；工厂在数字化和电商推进中要考虑这类授权验证和交易合规要求。

4. 行动启示：把“能让AI代理顺畅完成查找、选品、下单”作为产品数字化和电商系统升级的新标准，有助于在未来AI购物场景中取得先发优势。

服务商会从这篇文章中看到明确的新技术服务需求：企业需要一套能让AI代理访问电商系统，但又可控、可审计、可支付的方案。

1. 技术趋势：个人代理协议基于现有OAuth授权技术构建，支持AI代理通过企业网站、API或企业自有AI代理与商家交互；围绕这套协议开发身份识别、访问控制、支付对接等模块是服务商的机会。

2. 客户痛点：商家希望接待AI代理消费者，但不希望逐一适配不同AI产品，也不愿失去对用户数据、交易授权和服务流程的控制；这正好对应身份验证、权限管理和数据隔离需求。

3. 解决方案方向：协议计划引入支付功能，使AI代理能在不直接获取消费者信用卡信息的情况下完成购买；服务商可提供支付代授权、交易风控、日志审计、合规检查等增值服务。

4. 行业格局：亚马逊对第三方AI代理保持严格限制，而Meta、Shopify、Stripe、沃尔玛等联合推动开放标准；服务商需要帮客户理解不同平台阵营的规则，选择风险更低、触达效率更高的接入路径。

对平台商而言，这篇文章的核心启示是：是否向第三方AI代理开放访问，已经成为一个战略选择，而开放标准的出现可能改变平台间的流量竞争格局。

1. 最新做法分两类：亚马逊对第三方AI代理采取严格限制，屏蔽Muse、起诉Perplexity，并在交易环节不开放，只在广告环节与OpenAI合作；Meta、Shopify、Stripe、沃尔玛等则联合制定个人代理协议，试图用统一标准接纳AI代理。

2. 商家诉求：商家希望用一套通用规则接待AI代理，减少适配成本，同时保留对用户数据、交易授权和服务流程的控制权；平台需要判断是继续封闭生态还是参与开放标准。

3. 运营管理风向：PAPv0.1预计10月底发布，亚马逊尚未加入；平台要留意AI代理是否会把消费者直接导向品牌独立站，从而削弱综合电商平台的流量入口地位。

4. 风险规避：完全封闭可能流失习惯AI代购的用户，开放则要防范隐藏代理身份、越权访问和绕过限制等行为，需要用授权验证、访问权限分级和代理身份公开机制来降低风险。

从研究视角看，这篇文章揭示了一个新产业动向：AI代理作为消费执行者进入电商交易，引发了开放协议与平台限制两种治理路线之争。

1. 产业新动向：Meta、Sierra、Shopify、Stripe、沃尔玛等企业联合推动个人代理协议，把OAuth授权机制延伸到AI代理访问网站、API和支付场景，试图建立识别AI代理身份、授权范围和访问权限的通用规则。

2. 新问题：亚马逊没有加入协议，并对Muse、Perplexity等第三方AI代理采取限制和诉讼，理由是代理应当公开身份并尊重平台是否允许接入的决定；这暴露出AI代理抓取、隐瞒身份、绕过访问限制、消费者授权如何验证等监管难题。

3. 商业模式影响：AI代理可以按消费者购买意图直接推荐品牌独立站，已有实际案例显示原本在亚马逊完成的购买转向Shopify体系，这可能削弱综合电商平台作为流量入口的地位，推动独立站加AI代理的新渠道模式。

4. 政策法规建议与启示：需要研究开放标准与平台自主权之间的边界，头部平台是否应强制参与统一协议，如何认定恶意访问，以及AI代理在支付环节不接触信用卡时，数据安全、交易责任和消费者授权归属由谁承担，都需要更明确的规则和制度设计。

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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。

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This article offers everyday readers the key takeaway that AI-agent shopping is becoming a reality, and a set of rules has emerged to let AI purchase on your behalf.

1. In the future, you can have an AI agent search for products, compare prices, and even place orders. Merchants can use the personal agent protocol to verify that the AI has actually obtained your authorization, use only necessary information within that scope, and complete payment—without accessing unrelated personal data.

2. Payment will become more secure: AI agents can complete purchases without directly passing the consumer's credit card information to the merchant, reducing the risk of data leakage.

3. Consumer behavior has already shifted: some users who would have bought on Amazon now use AI agents to purchase from brand independent sites supported by Shopify. The shopping entry point may move from platforms to AI recommendations.

4. Practical points to note: Amazon has not yet joined this protocol and heavily restricts third-party AI agents. When using AI purchasing, pay attention to whether the platform allows it, whether authorization is clear, and whether payment and return/exchange rules are explicit.

Brand owners can read an important signal from this article: AI agents are becoming a new traffic gateway, and brand-owned independent sites may gain direct orders that bypass large e-commerce platforms.

1. Channel opportunity: AI agents will direct traffic directly to eligible brand independent sites based on consumers' specific needs and purchase intent. Brands have the chance to acquire potential customers with clearer intent and reduce reliance on traditional e-commerce platform traffic.

2. Standards and costs: Meta, Shopify, Stripe, Walmart and others are promoting a personal agent protocol. In the future, merchants can serve AI-agent consumers using one common set of rules, lowering the cost of adapting to different AI products individually.

3. Data control: The protocol still allows merchants to retain control over user data, transaction authorization, and service processes. AI agents can only access necessary information, which is important for brand trust and compliant operations.

4. Consumer trend observation: Some consumers are already using AI agents to shift Amazon orders to brand independent sites. Brands should reassess their channel structure, independent-site capabilities, and how they integrate with the AI-agent ecosystem.

For sellers, the core takeaway is that AI agents are reshaping traffic rules. The new open protocol may bring growth opportunities for independent sites, but also carries risks of platform restrictions.

1. Opportunity: Meta is working with Shopify, Stripe, Walmart and others to set unified standards. Sellers may soon use a common set of rules to serve consumers arriving via AI agents, reducing adaptation costs and winning orders with clearer intent.

2. Traffic shift: AI agents can directly recommend qualifying brand independent sites based on consumers' purchase intent. Sellers may reduce their dependence on traffic from Amazon and other large e-commerce platforms and expand into new growth markets.

3. Risk: Amazon has not joined the protocol and has already restricted Muse, blocked Perplexity, and filed a lawsuit against the latter. If sellers rely mainly on Amazon, traffic from third-party AI agents may not land smoothly.

4. Action items: Closely follow the detailed rules of PAPv0.1 after its release at the end of October, prepare independent-site product information, inventory, and payment authorization in advance, and consider a multi-platform strategy to capture AI-agent purchasing demand.

For factories, the substance of this article centers on changes in order entry points and digital integration. Once AI-agent shopping becomes widespread, manufacturing will also need to participate in a more standardized information system.

1. New business opportunities: AI agents will direct consumers to brand independent sites that can be accurately identified and recommended. Downstream brands may receive more direct orders, and the sources of OEM or supplier orders will change accordingly.

2. Product information and production capability requirements: To make products easy for AI agents to find and order, factories must work with brands to make product catalogs, prices, inventory, and other information more machine-readable, and connect to e-commerce systems via APIs or other means.

3. Standard and payment changes: The PAP is built on OAuth authorization technology, enabling AI agents to interact with merchants through corporate websites, APIs, or a company's own AI agent. It also plans to introduce payment capabilities that do not require directly submitting credit card data. Factories need to consider these authorization verification and transaction compliance requirements as they advance digitalization and e-commerce.

4. Action insight: Making it possible for AI agents to smoothly complete search, selection, and ordering should become a new standard for product digitalization and e-commerce system upgrades. This will help factories gain a first-mover advantage in future AI shopping scenarios.

Service providers will see a clear new technology service demand in this article: companies need a solution that allows AI agents to access e-commerce systems while remaining controllable, auditable, and payment-capable.

1. Technology trend: The personal agent protocol is built on existing OAuth authorization technology and enables AI agents to interact with merchants through corporate websites, APIs, or a company's own AI agent. Developing modules for identity recognition, access control, payment integration, and the like around this protocol is an opportunity for service providers.

2. Client pain points: Merchants want to serve AI-agent consumers without adapting individually to different AI products and without losing control over user data, transaction authorization, and service processes. This maps directly to needs for identity verification, permission management, and data isolation.

3. Solution direction: The protocol plans to introduce payment functionality that lets AI agents complete purchases without directly obtaining the consumer's credit card information. Service providers can offer value-added services such as payment authorization, transaction risk control, log audits, and compliance checks.

4. Industry landscape: Amazon maintains strict restrictions on third-party AI agents, while Meta, Shopify, Stripe, Walmart and others are jointly promoting open standards. Service providers need to help clients understand the rules of different platform camps and choose access paths that are lower-risk and more efficient for reach.

For platform operators, the core insight of this article is that deciding whether to open access to third-party AI agents has become a strategic choice, and the emergence of open standards may change how platforms compete for traffic.

1. The latest approaches split into two types: Amazon has imposed strict restrictions on third-party AI agents—blocking Muse, suing Perplexity, and keeping transaction environments closed, while cooperating with OpenAI only in advertising. Meta, Shopify, Stripe, Walmart and others, by contrast, are jointly drafting a personal agent protocol and trying to embrace AI agents through a unified standard.

2. Merchant demands: Merchants want to serve AI agents with one common set of rules to reduce adaptation costs while retaining control over user data, transaction authorization, and service processes. Platforms need to decide whether to remain closed ecosystems or join open standards.

3. Operational trends: PAPv0.1 is expected to be released at the end of October, and Amazon has not yet joined. Platforms should watch whether AI agents direct consumers to brand independent sites, thereby weakening the status of large e-commerce platforms as traffic gateways.

4. Risk mitigation: Being fully closed may lose users accustomed to AI-agent purchasing, while being open requires guarding against hidden agent identities, unauthorized access, and circumvention of restrictions. Platforms should use authorization verification, tiered access permissions, and mechanisms for disclosing agent identity to reduce these risks.

From a research perspective, this article reveals a new industry trend: AI agents entering e-commerce transactions as consumer executors has triggered a debate between two governance approaches—open protocols versus platform restrictions.

1. New industry movement: Meta, Sierra, Shopify, Stripe, Walmart and others are jointly promoting a personal agent protocol that extends OAuth authorization to AI agents accessing websites, APIs, and payment scenarios. They aim to establish common rules for identifying AI agent identity, authorization scope, and access permissions.

2. Emerging issues: Amazon has not joined the protocol and has imposed restrictions and lawsuits against third-party AI agents such as Muse and Perplexity, arguing that agents should disclose their identity and respect whether the platform allows access. This exposes regulatory challenges around AI agent scraping, identity concealment, bypassing access restrictions, and verifying consumer authorization.

3. Business model impact: AI agents can directly recommend brand independent sites based on consumer purchase intent. Real cases already show purchases that would have been completed on Amazon shifting to the Shopify ecosystem. This may weaken the status of large e-commerce platforms as traffic gateways and drive a new channel model of independent sites plus AI agents.

4. Policy and regulatory implications: It is necessary to study the boundary between open standards and platform autonomy. Whether leading platforms should be forced to participate in unified protocols, how to determine malicious access, and who bears data security, transaction liability, and consumer authorization when AI agents avoid touching credit cards in payment—all demand clearer rules and institutional design.

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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【亿邦原创】10月9日消息，日前，Meta、Sierra、Shopify、Stripe、沃尔玛等八家企业联合宣布，将共同制定一项名为Personal Agent Protocol（个人代理协议，简称PAP）的开放标准，帮助企业识别代表消费者访问网站、执行操作的AI代理，并管理其访问权限。

Sierra于10月6日发布的公告显示，PAP基于现有的OAuth授权技术构建，支持AI代理通过企业网站、API或企业自有AI代理与商家交互，并计划引入支付相关功能，使代理能够在不直接向商家提供消费者信用卡信息的情况下完成购买。

也就是说，在该协议下，当消费者授权AI代理搜索并购买商品时，商家可以确认这个AI是否真实获得了消费者的授权，并允许它完成相应的查询商品、使用必要的用户信息，以及在授权范围内完成支付，同时限制其访问无关的个人数据或执行未经允许的操作。

对于商家而言，这意味着未来有望通过一套通用规则接待AI代理带来的消费者，减少逐一适配不同AI产品的成本，同时保留对用户数据、交易授权和服务流程的控制权。

据介绍，PAP的v0.1规范预计于10月底发布。目前，亚马逊尚未加入该协议。

此前，亚马逊已经对Muse采取了访问限制措施。更早之前，亚马逊还曾屏蔽Perplexity旗下的AI购物代理，并于2025年11月对Perplexity提起诉讼，指控后者在未经许可的情况下持续访问亚马逊网站，并通过隐藏代理身份等方式绕过平台限制。

对于限制第三方AI代理访问的做法，亚马逊此前曾公开表示，代表消费者购物的第三方应用应当公开身份，并尊重平台是否允许其接入的决定。

不过，亚马逊并未完全拒绝与外部AI平台合作。今年9月，亚马逊广告宣布与OpenAI达成合作，允许部分美国广告主在ChatGPT中测试对话式广告，将广告投放延伸至AI对话场景。但在商品浏览、下单等交易环节，亚马逊仍对第三方AI代理的访问保持严格限制。

与此同时，AI代理也已经开始改变部分消费者的购物路径。据Business Insider此前报道，投资平台Public的联合CEO Leif Abraham表示，使用Muse后，自己原本会在亚马逊购买的部分商品，已经转向通过Shopify支持的品牌独立站直接购买。

对此，有业内人士补充道，此次Meta联合Shopify、Stripe等企业推动建立统一的AI代理交互标准，在一定程度上可能为商家带来一波新的流量机会。当消费者通过AI代理寻找商品时，AI可以根据其具体需求和购买意向，直接将消费者引导至符合条件的品牌独立站。这意味着，商家有机会获得需求更明确的潜在客户，也可能减少对传统电商平台流量入口的依赖。

那么，当消费者可以通过AI代理直接找到品牌独立站并完成购买时，亚马逊等综合电商平台是否会面临新的流量竞争，未来，亚马逊又将如何调整对第三方AI代理的开放策略？仍有待进一步观察。

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