Workshop 11 - Build your AI Search workflows. Data-backed optimisation with Surfer MCP
Hands-on session. For over a year Surfer's Data Science team has been running experiments on how AI search picks its sources. Across datasets of up to 289,105 URLs, on ChatGPT, Perplexity and Google's AI surfaces. We open with what those experiments found, including the parts that contradict what most people still optimise for. Then we build. You connect Surfer to your own agent over MCP, and we work through three things: where a brand actually stands in AI answers, how to turn one gap into a piece of work, and how to make that repeat every week without running it by hand. You leave with a working setup, a report you generated in the room on real data, and a prompt pack that reproduces all of it against your own brand. Workspace access is provided in the room. The agent subscription is yours to bring.
