Agent Conversion Optimization tracks AI agent recommendations for merchants

Seijin Jung introduces Agent Conversion Optimization, a tool that tracks which recommendations AI agents such as Muse, Instinct and Dots make, and why.

The tool shows a merchant's share of recommendations against competitors, maps the paths agents take to checkout, and lets Helena deploy fixes to improve discoverability.

Jung says the product starts with 100 initial customers, because tracking agent recommendations reliably with little bias is hard given how these agents behave.