请问HN：大型语言模型（LLMs）是否正在成为电子商务的真正发现渠道？
随着越来越多的人使用像ChatGPT、Gemini和Copilot这样的人工智能助手进行产品研究，传统的搜索引擎优化（SEO）似乎不再是完整的图景。我很好奇大家是如何应对这一变化的：
• 你们是否在跟踪人工智能助手是否推荐你们的产品？
• 你们是否在更改产品数据、架构或数据源，以提高人工智能的可读性？
• 还是说这在实践中仍然为时尚早？
我注意到，有些工具专注于监测人工智能提及，而另一些工具则专注于修复产品数据，以便大型语言模型（LLM）能够实际验证和推荐商品。
我很想听听那些在这方面进行实验的人的真实经验。
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With more people using AI assistants like ChatGPT, Gemini, and Copilot for product research, it feels like traditional SEO is no longer the full picture.<p>I’m curious how others here are approaching this:<p>• Are you tracking whether AI assistants recommend your products?
• Are you changing product data, schema, or feeds to improve AI readability?
• Or is this still too early to matter in practice?<p>I’ve noticed a split between tools that monitor AI mentions and tools that focus on fixing product data so LLMs can actually verify and recommend items.<p>Would love to hear real experiences from people experimenting with this.