Build a Minimal AI Rank Tracker in Python
If you've ever typed "best X for Y" into ChatGPT to see whether your product shows up, you've already done AI rank tracking, just with a sample size of one. This post builds a small Python tracker that does it properly. It: sends the same buyer-style prompt to several engines through their APIs, detects whether your brand is mentioned and where it sits in the answer, repeats the run N times and…
Building a minimal AI rank tracker in Python involves sending the same buyer-style prompt to multiple search engines, detecting if a brand is mentioned and its position within the response, repeating the process multiple times and reporting a mention rate with a confidence interval. The script is around 150 lines long. The main challenge lies in the measurement, as an LLM answer contains prose, bullet lists, and tables, unlike a Google SERP with discrete slots.
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