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亚马逊广告正式接入ChatGPT 首批面向美国部分品牌开放

亿邦动力 2026-09-11 15:30
亿邦动力 2026/09/11 15:30

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你需要先理清亚马逊与OpenAI这次广告合作的核心信息,避免被网络上的不实说法误导。

1. 该合作在2026年9月正式官宣,首批仅对美国部分使用Amazon DSP服务的品牌开放,普通亚马逊卖家的在售商品不会自动出现在ChatGPT的广告位,目前也没有面向普通用户或中小卖家开放自助操作入口。

2. 你后续在ChatGPT页面看到的相关广告,会明确标注赞助属性,以文字或图片形式放置在AI回答下方,支持广告主按点击或展示量付费,也可由系统基于广告主提交的商品目录自动生成广告素材。

你也可以了解双方的合作背景,理清相关服务的实际使用边界。

1. 此前亚马逊一直屏蔽包括ChatGPT相关爬虫在内的多款AI抓取工具,原因是部分第三方AI提供的商品价格、库存、配送信息不够准确,容易误导消费者,直到现在ChatGPT依然无法直接读取亚马逊的实时商品数据,双方也没有打通电商交易与结算体系。

2. 目前ChatGPT自有购物功能已经覆盖商品展示、评论摘要、即时结账、商品比价等能力,2026年其广告业务年化收入已达到10亿美元。

你可以重点关注亚马逊与OpenAI这次广告合作带来的全新品牌营销渠道机会,提前做好相关布局准备。

1. 目前接入ChatGPT的广告资源属于Amazon DSP的站外广告库存范畴,首批测试仅向美国地区的部分DSP广告主开放,旅游品牌Delta Vacations是首批参与测试的品牌之一。广告会以文字、图片形式出现在ChatGPT回答下方并明确标注赞助属性,支持按点击或展示付费,品牌可提交商品目录由系统自动生成素材,由亚马逊团队负责广告活动的搭建与优化,具体广告匹配的对话场景由OpenAI的广告系统决定。

2. 该项目目前采用托管服务模式,暂未开放自助投放入口,品牌的商品详情页、定价、用户评论、交易入口全部保留在亚马逊自有体系内,核心电商数据不会向OpenAI开放。

你要跟踪渠道的长期价值变化,提前规划投放策略。

1. 2025年以来ChatGPT持续完善购物功能,先后上线商品展示、评论摘要、跨平台即时结账、实时比价等服务,用户在ChatGPT端完成购物决策的习惯正在养成,2026年其广告业务年化收入已达10亿美元。后续如果试点扩大、打通站内购买数据的广告归因能力,该渠道将从单纯的品牌曝光资源升级为可直接承接商品转化的核心销售渠道。

你首先要准确解读这次亚马逊与OpenAI广告合作的实际规则,避免被不实信息误导,产生不必要的损失。

1. 现阶段该项目仅面向美国部分使用Amazon DSP服务的品牌开放,全程采用托管服务模式,并没有开放面向普通卖家的自助投放入口,普通卖家的Sponsored Products推广商品不会自动进入ChatGPT广告池,目前不存在普通卖家可以直接参与投放、或者被强制扣费参与该项目的情况。

你要重点跟踪后续的政策变化,抓住潜在的渠道增长机会,同时做好风险防范。

1. 后续重点观察两个关键节点:一是试点范围是否扩大,向更多Amazon DSP客户开放投放入口;二是亚马逊是否打通站内购买数据,实现ChatGPT广告的效果归因和转化衡量。这两个节点直接决定ChatGPT广告是单纯的品牌曝光资源,还是能直接带动商品销量的新增长渠道。

2. 目前ChatGPT依然被禁止抓取亚马逊平台的实时商品价格、库存、评论信息,第三方AI工具传递的平台商品信息可能存在偏差,不要因为不实的信息差随意调整商品定价、库存备货策略。

你可以从这次亚马逊与OpenAI的广告合作中,捕捉AI电商渠道的演变趋势,提前匹配对应的产品布局和数字化能力。

1. 当前AI对话入口正在成为新的电商流量场景,2025年以来ChatGPT持续加码购物服务,先后上线商品图片展示、评论摘要、商家跳转链接、跨平台即时结账、实时商品比价等功能,2026年其广告业务年化收入已达10亿美元,流量商业价值已经得到验证,未来品质稳定、用户评价好的高性价比刚需商品,在这类新渠道的需求会持续提升。

你可以结合平台规则变化找到适配自身的商业机会,稳步推进电商相关的数字化布局。

1. 这次合作中亚马逊将ChatGPT纳入DSP站外广告库存,所有商品交易、定价、评论、库存数据都保留在亚马逊自有体系,广告素材可由系统基于商品目录自动生成。你在对接亚马逊品牌客户、布局平台供货时,可以提前整理标准化的商品数字素材,适配AI自动生成广告的需求,降低合作品牌的推广成本,提升自身产品被选中的概率。

2. 目前亚马逊对核心商品数据的保护力度持续加强,通过第三方AI爬虫抓取平台商品需求、竞品信息的方式已经行不通,要通过平台官方渠道获取真实的产品设计、生产需求信息。

你要准确把握AI电商广告赛道的发展趋势,找准客户服务的切入点,提前匹配对应的服务能力。

1. 当前AI对话入口正在成为品牌广告投放的新场景,OpenAI的广告业务到2026年8月底年化收入已达10亿美元,亚马逊作为2026年4-8月ChatGPT平台投放规模最大的零售客户,已经把此前零散的投放行为升级为标准化产品,将ChatGPT纳入Amazon DSP的站外广告库存,但目前该项目仅采用托管服务模式,面向美国部分品牌开放,暂未开放自助投放入口。

你可以围绕广告主参与新渠道投放的核心痛点,打造对应的解决方案。

1. 首先是素材适配痛点,虽然系统可基于商品目录自动生成文字、图片广告素材,但对话场景下的广告内容适配度还有优化空间,你可以为品牌提供适配ChatGPT对话场景的素材优化服务。

2. 其次是效果衡量痛点,目前亚马逊尚未打通站内数据与ChatGPT广告的归因链路,无法直接衡量广告带来的实际转化效果,你可以提前布局跨渠道效果归因的相关服务能力。

3. 另外目前ChatGPT无法直接获取亚马逊实时商品数据,广告内容与实际商品信息的一致性校验也是广告主的潜在痛点,可以对应开发相关校验工具。

你可以参考亚马逊与OpenAI的合作逻辑,优化自身平台的AI生态布局,平衡流量拓展与数据安全的关系。

1. 亚马逊的核心运营思路可以作为参考:一方面持续收紧外部AI工具的平台访问权限,2025年先后将Anthropic、Perplexity、谷歌、OpenAI等公司的AI爬虫加入访问限制名单,避免第三方AI传递不准确的价格、库存、配送信息,损害平台用户体验;另一方面主动以广告合作的方式接入ChatGPT流量场景,将其纳入Amazon DSP的站外广告库存,牢牢把商品页面、价格、评论、交易入口、电商数据和结算体系掌握在自己手里。

你可以从这次合作中总结平台运营、风险规避的具体方向。

1. 流量拓展层面,可以通过自身的广告服务体系外接各类新兴流量场景,扩大平台广告库存规模,吸引更多品牌广告预算,同时不用开放自身核心电商数据。

2. 自有能力建设层面,要同步搭建自有AI购物服务,比如亚马逊推出的站内购物助手Rufus、跨站代下单工具Buy for Me,沉淀自有AI购物场景的用户。

3. 风险规避层面,和AI平台合作时要明确用户体验标准和价值交换方式,所有广告明确标注赞助属性,避免误导用户,同时做好核心商品数据的防护,防范违规抓取风险。

你可以重点关注亚马逊与OpenAI这次广告合作背后的AI电商产业新动向、新问题与商业模式演变逻辑。

1. 这次合作标志着AI对话平台与头部电商平台的关系,从此前的流量争夺、数据对抗阶段进入到价值分润的合作阶段:在合作达成前不足一年的时间里,亚马逊持续屏蔽OpenAI等公司的AI爬虫,核心原因是部分第三方AI购物代理提供的商品价格、库存、配送信息不准确,容易损害用户体验;而ChatGPT侧从2025年开始持续迭代购物能力,先后上线商品展示、评论摘要、即时结账、商品比价功能,2026年广告业务年化收入突破10亿美元,已经具备成熟的流量变现能力,为双方合作奠定了基础。

你可以跟踪当前合作模式的局限性,观察后续产业演变方向。

1. 目前双方的合作还属于浅层次的广告流量合作:亚马逊将ChatGPT纳入DSP站外广告库存,由亚马逊团队负责广告活动搭建优化,OpenAI负责广告的场景匹配展示,所有核心电商数据、交易链路依然保留在亚马逊体系内,没有实现双向的数据打通。

2. 后续合作的核心变量有两点,一是广告投放权限是否向更多经营主体开放,二是双方能否建立合规的数据价值交换机制,实现广告效果的全链路归因,这将决定AI电商的商业闭环最终落地形态。

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Quick Summary

To avoid being misled by online misinformation, it is important to first clarify the core facts of the advertising partnership between Amazon and OpenAI.

1. The partnership was officially announced in September 2026. At launch, it is only available to a select group of U.S. brands using Amazon DSP. Regular Amazon sellers’ product listings will not automatically appear in ChatGPT ad slots, and there is currently no self-service access for general users or small and medium-sized sellers.

2. Relevant ads you see on ChatGPT will be clearly marked as sponsored, placed below AI responses in text or image formats. Advertisers can pay on a cost-per-click or cost-per-impression basis, and ad creatives can be automatically generated by the system based on product catalogs submitted by advertisers.

You may also find it helpful to understand the background of the partnership and the actual limits of the services involved.

1. Prior to this deal, Amazon had blocked multiple AI crawlers, including those associated with ChatGPT, over concerns that inaccurate pricing, inventory and delivery information provided by some third-party AI tools could mislead consumers. As of now, ChatGPT still cannot directly access Amazon’s real-time product data, and the two companies have not integrated their e-commerce transaction or settlement systems.

2. ChatGPT’s built-in shopping features now cover product display, review summaries, instant checkout and price comparison, with its annualized ad revenue reaching $1 billion in 2026.

Brands should pay close attention to the new brand marketing channel opportunities created by the Amazon-OpenAI advertising partnership and prepare for early positioning.

1. The ChatGPT ad inventory currently being integrated falls under Amazon DSP’s off-site ad supply. The initial pilot is open only to selected DSP advertisers in the U.S., with travel brand Delta Vacations among the first participants. Ads will appear below ChatGPT responses in text or image formats with clear sponsorship labels, supporting cost-per-click or cost-per-impression pricing. Brands can submit product catalogs for automatic creative generation, while Amazon’s team handles campaign setup and optimization. The specific conversational scenarios where ads appear are determined by OpenAI’s ad system.

2. The program currently operates on a managed-service basis, with no self-service buying access available yet. Product detail pages, pricing, user reviews and transaction entry points all remain within Amazon’s own ecosystem, and core e-commerce data will not be shared with OpenAI.

Brands should monitor the long-term value of this channel and plan their ad strategies in advance.

1. Since 2025, ChatGPT has continuously expanded its shopping capabilities, launching product display, review summaries, cross-platform instant checkout and real-time price comparison. Users are gradually forming the habit of making shopping decisions directly within ChatGPT, and the platform’s annualized ad revenue reached $1 billion in 2026. If the pilot expands and on-site purchase data is later connected for ad attribution, this channel could evolve from a pure brand-awareness inventory into a core sales channel capable of driving direct product conversions.

Sellers should first accurately understand the actual rules of the Amazon-OpenAI advertising partnership to avoid being misled by false information and incurring unnecessary losses.

1. At this stage, the program is available only to selected U.S. brands using Amazon DSP and operates entirely as a managed service. There is no self-service access for regular sellers, and products promoted through Sponsored Products will not automatically enter the ChatGPT ad pool. There is currently no mechanism for regular sellers to participate directly in ad placement or to be charged fees for involuntary participation.

Sellers should closely track future policy changes, identify potential channel growth opportunities and maintain proper risk controls.

1. Two key milestones should be monitored: first, whether the pilot expands to provide ad access to more Amazon DSP customers; second, whether Amazon connects on-site purchase data to enable attribution and conversion measurement for ChatGPT ads. These two factors will determine whether ChatGPT ads function only as a brand-exposure channel or become a new growth driver for direct product sales.

2. ChatGPT remains prohibited from scraping real-time pricing, inventory and review data from Amazon. Product information relayed by third-party AI tools may be inaccurate, so sellers should not blindly adjust pricing or inventory strategies based on unsubstantiated claims.

Manufacturers can identify broader trends in the evolution of AI-driven e-commerce channels from the Amazon-OpenAI advertising partnership and align product planning and digital capabilities accordingly.

1. AI conversational interfaces are emerging as a new e-commerce traffic scenario. Since 2025, ChatGPT has steadily expanded its shopping features, including product image display, review summaries, merchant redirect links, cross-platform instant checkout and real-time price comparison. Its annualized ad revenue reached $1 billion in 2026, proving the commercial value of this traffic. Going forward, demand for cost-effective, in-demand products with stable quality and strong user reviews is likely to grow across such new channels.

Manufacturers can identify business opportunities aligned with platform rule changes and steadily advance their e-commerce-related digital capabilities.

1. Under this partnership, Amazon is integrating ChatGPT into DSP off-site ad inventory, while all transactions, pricing, reviews and inventory data remain within Amazon’s own system, and ad creatives can be automatically generated from product catalogs. When serving Amazon brand customers and planning supply for the platform, manufacturers can prepare standardized digital product assets in advance to support AI-generated advertising needs, reducing promotional costs for partner brands and increasing the likelihood of their products being selected.

2. Amazon is continuing to strengthen protection of its core product data, making it no longer viable to rely on third-party AI crawlers to gather platform demand trends or competitor information. Manufacturers should instead obtain reliable product design and production demand signals through official platform channels.

Service providers should closely track developments in the AI e-commerce advertising space, identify clear client service entry points and build relevant capabilities in advance.

1. AI conversational interfaces are becoming a new placement scenario for brand advertising. OpenAI’s annualized ad revenue reached $1 billion by the end of August 2026. Amazon, which was the largest retail advertiser on ChatGPT between April and August 2026, has upgraded previously fragmented buying activity into a standardized product by incorporating ChatGPT into Amazon DSP’s off-site ad supply. However, the program is currently available only as a managed service for selected U.S. brands, with no self-service access yet.

Service providers can develop targeted solutions around the core pain points advertisers face when using this new channel.

1. First is creative adaptation. Although the system can automatically generate text and image creatives from product catalogs, there is still room to improve relevance within conversational contexts, creating demand for services that help brands optimize assets specifically for ChatGPT dialogue scenarios.

2. Second is performance measurement. Amazon has not yet connected its on-site data to ChatGPT ad attribution, making it impossible to directly measure actual conversion outcomes. This creates an opportunity to build cross-channel attribution capabilities in advance.

3. Third, since ChatGPT cannot directly access Amazon’s real-time product data, verifying consistency between ad content and actual product information is another potential pain point for advertisers, which can be addressed through dedicated validation tools.

Marketplace operators can draw lessons from Amazon’s partnership logic with OpenAI to optimize their own AI ecosystem strategies and balance traffic expansion with data security.

1. Amazon’s core operating approach offers a useful reference: on one hand, it has continuously tightened platform access for external AI tools, adding crawlers from Anthropic, Perplexity, Google and OpenAI to its restricted list in 2025 to prevent inaccurate pricing, inventory and delivery information from third-party AI tools from harming user experience; on the other hand, it is proactively accessing ChatGPT traffic through an ad partnership, incorporating it into Amazon DSP’s off-site inventory while keeping full control of product pages, pricing, reviews, transaction entry points, e-commerce data and settlement systems.

Operators can derive concrete directions for platform management and risk mitigation from this partnership.

1. For traffic expansion, platforms can connect to emerging traffic scenarios through their own ad service systems, expanding ad inventory and attracting more brand budgets without opening up core e-commerce data.

2. For in-house capability building, platforms should simultaneously develop proprietary AI shopping services, such as Amazon’s on-site shopping assistant Rufus and its cross-site ordering tool Buy for Me, to retain users within their own AI shopping environments.

3. For risk mitigation, when partnering with AI platforms, operators should clearly define user experience standards and value-exchange terms, ensure all ads are clearly labeled as sponsored to avoid misleading users, and strengthen protection of core product data to guard against unauthorized scraping.

Researchers should focus on the new industry developments, emerging issues and evolving business logic in AI-driven e-commerce reflected in the Amazon-OpenAI advertising partnership.

1. The partnership marks a shift in the relationship between AI conversational platforms and leading e-commerce platforms from traffic competition and data confrontation to a revenue-sharing collaboration model. In less than a year before the deal, Amazon had continuously blocked AI crawlers from OpenAI and other companies, primarily because inaccurate pricing, inventory and delivery information provided by some third-party AI shopping agents risked degrading user experience. On ChatGPT’s side, the platform has iterated its shopping capabilities since 2025, launching product display, review summaries, instant checkout and price comparison, with annualized ad revenue exceeding $1 billion in 2026, demonstrating a mature traffic monetization foundation that made the partnership possible.

Researchers should track the limitations of the current cooperation model and observe future industry evolution.

1. At this stage, the partnership remains a shallow ad-traffic arrangement: Amazon integrates ChatGPT into DSP off-site inventory, Amazon’s team manages campaign setup and optimization, and OpenAI handles scenario matching and ad display, while all core e-commerce data and transaction paths remain within Amazon’s ecosystem, with no two-way data integration.

2. Two key variables will shape future cooperation: first, whether ad placement access expands to more business entities; second, whether the two sides can establish a compliant data value-exchange mechanism to enable full-funnel ad attribution. These factors will determine the eventual shape of the closed commercial loop in AI e-commerce.

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】9月11日消息,昨日,亚马逊宣布与OpenAI启动广告合作。美国市场部分Amazon DSP广告主可以把广告活动延伸至ChatGPT,Delta Vacations成为首批参与测试的品牌之一。

根据目前披露的信息,广告主可按点击或展示付费,也可以提交商品目录,由系统自动生成广告素材。广告以文字或图片形式出现在ChatGPT回答下方,并明确标注赞助属性。亚马逊团队负责搭建和优化广告活动,具体展示哪些广告、展示在什么对话场景,仍由OpenAI的广告系统决定。

目前,该项目采用托管服务,仅面向美国部分品牌,亚马逊尚未公布自助投放入口。普通亚马逊卖家的Sponsored Products也不会自动进入ChatGPT。

双方此次牵手,距离亚马逊屏蔽OpenAI网络抓取工具尚不足一年。

2025年,OpenAI连续加强ChatGPT的购物能力。4月,ChatGPT搜索开始提供商品图片、评论摘要和商家链接;9月,OpenAI与Etsy、Shopify合作推出即时结账;11月上线Shopping Research,尝试根据实时价格、库存和评论完成商品比较。

与此同时,亚马逊则持续收紧外部AI访问Amazon.com的权限。2025年8月,亚马逊扩大了robots.txt中的限制名单,禁止Anthropic、Perplexity、谷歌等公司的多款AI抓取工具访问网站。到11月,亚马逊又加入OpenAI的ChatGPT-User和OAI-SearchBot,此前用于模型训练的GPTBot已经被屏蔽。

这意味着ChatGPT难以直接读取亚马逊商品页面中的实时价格、库存和评论。据Amazon.com当前公开的robots.txt显示,GPTBot、ChatGPT-User和OAI-SearchBot目前仍处于禁止访问状态。

亚马逊当时并未公开说明屏蔽原因。不过,亚马逊CEO安迪·贾西曾在财报电话会上表示,部分第三方AI购物代理提供的价格、库存及配送信息不够准确。亚马逊愿意探索合作,但需要明确用户体验和价值交换方式。亚马逊也在持续建设自己的AI购物入口,包括站内购物助手Rufus,以及可以代替用户在其他品牌网站下单的Buy for Me。

进入2026年,ChatGPT的商业价值开始变得更直观。OpenAI于2月在美国测试广告,到8月底,该业务的年化收入已达到10亿美元。Sensor Tower的监测数据显示,亚马逊从今年4月起已经直接在ChatGPT购买广告,4月至8月间成为该平台投放规模最大的零售企业。

此次合作相当于把亚马逊此前的品牌投放行为产品化。Amazon DSP掌握着大量零售、旅游、金融和消费品牌预算,接入ChatGPT后,亚马逊可以继续扩大站外广告库存。OpenAI则获得了一条接入成熟广告主和商品目录的渠道。

目前来看,商品页面、价格、评论和交易入口仍留在亚马逊自己的控制范围,ChatGPT则被纳入Amazon DSP可以购买的广告库存,广告通道已经打开,电商数据和结算体系尚未开放。

对亚马逊卖家而言,现阶段还没有直接新增的投放入口。真正值得关注的是试点是否会向更多Amazon DSP客户开放,以及亚马逊能否把站内购买数据用于ChatGPT广告的归因和效果衡量。这两项能力将决定ChatGPT广告最终是品牌曝光资源,还是可以直接承接商品转化的新渠道。

亿邦持续追踪报道该情报,如想了解更多与本文相关信息,请扫码关注作者微信。

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FAQ回顾

亚马逊与ChatGPT的广告合作目前对哪些主体开放?

目前该合作采用托管服务模式,仅面向美国市场部分Amazon DSP广告主开放,Delta Vacations为首批参与测试的品牌之一,暂未公布自助投放入口,普通亚马逊卖家的Sponsored Products不会自动进入ChatGPT。

ChatGPT上的亚马逊广告有哪些呈现形式和计费规则?

广告主可选择按点击或展示付费,也可提交商品目录由系统自动生成广告素材;广告以文字或图片形式出现在ChatGPT回答下方,会明确标注赞助属性,具体展示场景由OpenAI广告系统决定。

ChatGPT目前可以直接抓取亚马逊的商品数据吗?

目前不可以。根据Amazon.com公开的robots.txt规则,GPTBot、ChatGPT-User和OAI-SearchBot均处于禁止访问状态,ChatGPT难以直接读取亚马逊商品页面的实时价格、库存和评论信息。

亚马逊与OpenAI开展广告合作对双方有哪些价值?

对亚马逊而言,可依托Amazon DSP掌握的零售、旅游等多行业品牌预算,接入ChatGPT扩大站外广告库存;对OpenAI而言,可获得成熟广告主资源与商品目录接入渠道,目前亚马逊仍掌握自有商品数据、交易入口控制权。

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