Build your AI Search workflows. Data-backed optimisation based on 15 months of experimentation
For over a year I've been running experiments with Surfer's Data Science team on how LLMs work as search engines. I'll start with what those experiments found, including the parts that may contradict what many people suggest. Then I'll show you what to do with it. How to read a brand's position in AI answers, how to turn one gap into a work, and how to make that repeat every week instead of once in a while. Every step is yours to try. I give everyone one month of free access to Surfer and Surfer MCP. Connect it to the AI assistant on your own laptop: Claude Code, Codex or Cursor. Bring one if you want to build along. Watch from your seat if you would rather work on it later. Everybody leaves with the materials, whichever way you do it: the prompt pack that reproduces the whole workflow, and the research behind it.
