Luke The Dev(@iamlukethedev):AI agents are starting to decide what people buy, and brands have no idea what those agents say about them Went through the ACO demo. A pet food brand asks Muse for "best human grade air dried dog food" and isn't in the top 5. Recommended in 1 of 19 checks ACO shows why: the human-grade proof wasn't on the product page. Price wasn't the problem. Then Helena ships the fix to the site It also tracks: - the real queries buyers ask Muse, Instinct and Dots - share of recommendations vs competitors, daily - where the agent drops off before checkout Analytics for the agent economy. Only 100 brands at launch

2026.11.04 20:33

AI agents are starting to decide what people buy, and brands have no idea what those agents say about them Went through the ACO demo. A pet food brand asks Muse for "best human grade air dried dog food" and isn't in the top 5. Recommended in 1 of 19 checks ACO shows why: the human-grade proof wasn't on the product page. Price wasn't the problem. Then Helena ships the fix to the site It also tracks: - the real queries buyers ask Muse, Instinct and Dots - share of recommendations vs competitors, daily - where the agent drops off before checkout Analytics for the agent economy. Only 100 brands at launch

Seijin Jung@SeijinJung

2026.11.04 16:01

Today, we're introducing Agent Conversion Optimization → Muse, Instinct, Grok Bot already process $10B+ a year in GMV via agentic commerce. No GEO tool today tracks who they recommend. So we built it. Each agent behaves very differently from typical LLMs, so we track them separately, then Helena deploys the fixes. 1/ Daily tracking of who Muse, Instinct, Dots recommend, and why 2/ Share of recommendations vs your competitors 3/ Agent path to check out audit 4/ Fixes deployed by Helena to improve your discoverability This is hard to do reliably with little bias given how these agents behave, so we're starting with only 100 initial customers. Demo: