AI has changed the way that people find information. For businesses, this means it's critical to understand how LLMs search for and summarize their web content. We're building an AI Engine Optimization (AEO) system to track how models discover, interpret, and reference Vercel and our sites. For end users on our marketing team, responses are consistently formatted across coding agents. This started as a prototype focused only on standard chat models, but we quickly realized that wasn’t enough. To get a complete picture of visibility, we needed to track coding agents. For standard models, tracking is relatively straightforward. We use AI Gateway to send prompts to dozens of popular models (e.g. GPT, Gemini, and Claude) and analyze their responses, search behavior, and cited sources. Coding agents, however, behave very differently. Many Vercel users interact with AI through their terminal or IDE while actively working on projects.…