Enrich Labs is launching Agent Conversion Optimization for brands whose buyers now ask personal shopping agents to find and purchase products. Meta's Muse can already find a product and pay for it, and Instinct shops through a browser and Shopify's catalog. The product runs daily checks on buyer questions across Muse, Instinct, and Dots, then records who each agent recommends, how that share compares with competitors, and which sources and on-page facts decided the pick. A separate probe walks the offer, price, add to cart, and checkout, and stops before payment. Generative engine optimization reports whether a model mentioned a brand. This product records whether a specific shopping agent named the brand as the pick and could reach a buyable offer. Muse and Instinct personalize over time and often read only three to nine third-party pages before they choose, so the checks run from clean accounts rather than a brand's own. The report separates cases where the brand never appeared in the sources the agent read, cases where the page opened but price or stock could not be confirmed, and cases where a sign-in wall, bot check, or broken checkout stopped the path. Those steps leave no referrer, session, or keyword in ordinary analytics. Helena, the AI marketer Enrich Labs already operates for more than 1,400 businesses, drafts the response, including rewritten titles, structured fact blocks, feed corrections, and outreach. Nothing ships until a person approves it. After a change goes live, the same queries run again so the brand can compare before and after. Co-founders Seijin Jung, previously head of marketing at OpenStore and earlier at Meta, and Yunfeng Bai, previously at Scale AI and Uber, are opening the launch to the first 100 customers. A single-brand plan covering Muse and Instinct is listed at $499 a month.