Evil Martians instrumented their own site with server-side middleware to track LLM agent traffic over two months, capturing ~268,000 agent requests vs ~107,000 human pageviews. Key findings: ChatGPT-User accounts for 73% of all agent traffic and reads rendered HTML almost exclusively (0.1% Markdown); Claude Code requests Markdown 76% of the time via HTTP content negotiation. The llms.txt file received ~770 direct fetches but only 37 came from named AI assistants — the rest were SEO bots and crawlers. A hidden AI hint div earned zero attributable fetches. The practical takeaway: keep HTML clean for ChatGPT, implement Accept: text/markdown content negotiation for coding agents, and measure your own logs rather than following generic GEO advice.