[.c-title-s-rich]What will I learn?[.c-title-s-rich]

Amazon's discovery engine changed more in the last six months than in the prior three years, and most launch playbooks haven't caught up yet. 

Launches that still run the old keyword-and-PPC playbook risk sending Amazon the wrong signals, wasting budget, and stalling rankings. But adapting doesn’t require a bigger team or months of work: the same AI models behind this shift make the new launch playbook faster, cleaner, and repeatable to build.

You’ll learn:

Why Amazon launches changed: how discovery shifted from keyword rank to semantic, graph-based matching, and what it means for your next launch

• What “graph placement” is, and how to land your product in the right substitute neighborhood so Amazon understands your brand and products from day one
• What's under the hood: substitute graphs, shopper need-states, and the PDP as a machine-readable evidence layer
• How to use simple, scalable, and repeatable AI workflows to build the entire launch motion in days, not weeks: research, positioning, listing copy, P&L, LTV:CAC, and inventory forecasts
• Which AI tools and data sources to use for each part of the process 
• When to go narrow vs. broad at launch: the single vs. multiple graph heuristic, and the common mistakes that will teach Amazon the wrong things if you’re not careful

Plus, we’ll leave time at the end for Q&A. See you there!