Go from zero to fully operational in Profound and AEO. Learn how answer engines work, interpret the data, ship content, and build agents to automate the loop.
The mental model you built for Google is quietly leading you to the wrong decisions in answer engines. The moves look similar: track rankings, optimize content, monitor competitors. The logic underneath is completely different.
Answer engines don't match strings: they dispatch agents to fetch sources, evaluate a page's content before clicking, and extract answer-shaped blocks from what they choose to open. Every AI-generated answer has a supply chain: specific sources, specific citations, specific reasons one brand gets mentioned and another doesn't. Most marketers can't read that supply chain. After this course, you can.
Profound 101 is 23 lessons that take you from not understanding the platform to operating every part of it. You start with the retrieval model and the diagnostic framework (SAGE) that organizes everything else. Then you build: configuring tracking that tests the engine's decision logic, reading citation data as a strategic map, diagnosing exactly which gate is failing when visibility drops, creating content from what the data actually tells you, and building agents that operationalize the entire loop so it runs without you.
By the end, you're on the road to becoming a Marketing Engineer, someone who can set up a config, read the data, ship the fix, and automate the system. That's the job now, and this is how you learn it.
