这是一个专为翻译助理系统设计的对话，旨在将相关术语如「生成式引擎优化」翻译为中文，同时保留数字并将例如「5 星」表示为「5 星」，避免使用英文句子，并将大型语言模型译为「大型语言模型」，搜寻引擎优化译为「搜寻引擎优化」，确保输出为一个完整的繁体中文段落。
财务与策略上的权衡相当显著：ChatGPT 目前向商家收取每笔交易费（金额未揭露），而 Google 与 Copilot 尚未收取佣金，造成近期利润率前景不均；若 AI 驱动订单在数位销售中的占比变高，新增的平台费、付费置入与聊天广告，可能会进一步压缩本就较门市更薄的线上利润率；随著客户关系转向 AI 介面，零售商也可能失去第一方流量、广告收入与资料深度。本文将此界定为受平台赢家不确定性影响的急迫采用问题，并引用社交商务前例指出各平台结果分化（TikTok Shop 的扩张速度快于 Instagram commerce），因此在 2026 周期中观望将承担持续上升的执行风险。
The article argues that retail is entering “agentic commerce,” where AI assistants, not humans, increasingly handle product discovery and checkout, potentially creating the biggest channel shift since mobile commerce more than 10 years ago. Momentum accelerated in September 2025 when OpenAI launched Instant Checkout in ChatGPT for US shoppers, followed by in-chat buying moves from Google and Microsoft. Major retailers and platforms including Walmart, Etsy, Shopify, Wayfair, JD Sports, Amazon, and Walmart’s own AI initiatives are positioning early, reflecting a rapid transition window in 2025-2026 rather than a distant scenario.
The core operational change is that merchants must optimize for large language models using highly structured, explicit product data, a stronger form of SEO often called generative engine optimization. Instead of broad labels, product pages need precise attribute-level detail (for example ingredients, exclusions, and condition fit), because AI systems increasingly parse semantic evidence rather than simple metadata. Discovery rank also depends on multi-source signals such as media mentions, influencer content, and review text, with less weight on aggregated indicators like 5-star style summaries; availability breadth, price competitiveness, and in-stock reliability become direct ranking and conversion factors in bot-mediated shopping.
The financial and strategic tradeoff is significant: ChatGPT currently charges merchants a per-transaction fee (amount undisclosed), while Google and Copilot are not yet charging commissions, creating an uneven near-term margin outlook. If AI-driven orders become a high share of digital sales, added platform fees, paid placement, and chat ads could compress already thinner online margins versus stores; retailers may also lose first-party traffic, ad income, and data depth as customer relationships shift to AI interfaces. The piece frames this as an urgent adoption problem shaped by uncertain platform winners, citing social commerce precedent where outcomes diverged by platform (TikTok Shop scaled faster than Instagram commerce), so waiting carries rising execution risk in the 2026 cycle.