Show HN: I asked 5 LLMs 10k questions and indexed every domain they cited

AI Digest

CiteGEO通过向5个LLMs提问10k问题，记录其引用的品牌和领域，揭示传统排名跟踪的局限性，提出基于模型回答的可见性分析方法。

CiteGEO tests 5 LLMs with 10k questions, tracking brand citations to expose gaps in traditional ranking metrics and propose visibility analysis via model responses.

Key points

• CiteGEO记录LLMs回答问题时引用的品牌和领域，构建可见性追踪体系 CiteGEO tracks brand citations in LLM responses to build visibility metrics
• 不同模型对同一问题的回答差异显著，传统排名无法反映未被提及的品牌 Responses vary significantly across models, exposing limitations of traditional rankings
• 提供可操作的解决方案：优化内容以提升被模型引用的可能性 Offers actionable strategy: optimize content for model citation
• 开源工具支持自定义配置，适配多种云服务商和模型部署 Open-source tool supports custom configuration across cloud providers

Takeaway: 多模型测试揭示品牌可见性差异，需主动优化内容以提升被引用机会。 / Multi-model testing exposes brand visibility gaps; proactive content optimization is key.

Why it matters 揭示AI模型对品牌引用的差异，提供优化内容提升可见性的实践方法。