Vercel 如何為 AI 程式碼代理（Coding Agents）建構 AEO（代理引擎優化）追蹤系統
Original: How we built AEO tracking for coding agents
As AI coding agents such as Cursor, Claude Code, and GitHub Copilot become everyday tools for developers, software vendors and SaaS…
隨著 AI 程式碼代理（Coding Agents）逐漸主導開發流程，Vercel 提出了 AEO（Agent Engine Optimization，代理引擎優化）的概念。本文介紹 Vercel 如何建構一套追蹤系統，藉由分析 User-Agent、監控 llms.txt 等代理專用文件的請求，來評估與優化 AI 代理對 Vercel 文件的檢索效率。這項技術能幫助開發團隊了解 AI 代理如何理解自家產品，進而提升 AI 生成程式碼的準確率與部署成功率。
As AI coding agents such as Cursor, Claude Code, and GitHub Copilot become everyday tools for developers, software vendors and SaaS companies face a new challenge: how to ensure these AI agents correctly understand, cite, and recommend their own services. This has given rise to the emerging concept of "AEO" (Agent Engine Optimization). Vercel, as a leader in the front-end cloud platform space, has shared how they built a dedicated AEO tracking system for AI coding agents.
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