Enrich Labs 推出 Agent Conversion Optimization（ACO），用于追踪 Meta Muse、OpenAI Dots 和 Instinct 等个人智能体向买家推荐哪些品牌，并解释某品牌为何未被选中。该工具展示买家向智能体提出的查询、被推荐品牌及逐日变化，并与竞品对比；首发仅开放 100 个品牌名额。
Shopping is quietly moving into personal agents like Meta's Muse, OpenAI's Dots and Instinct. For brands, that creates a new blind spot: you can't see what the agent recommends before a customer ever reaches your site.
Only 100 brands get access at launch. Request it here: https://agentconversion.ai
Enrich Labs just launched Agent Conversion Optimization (ACO) to close that gap. It shows the queries buyers ask these agents, which brands get recommended, how that shifts day to day, and how you stack up against competitors.
The part I find most interesting: it tries to explain why a brand wasn't chosen. That turns guesswork into something you can actually fix.
Today, we're introducing Agent Conversion Optimization → http://agentconversion.ai 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:在 X 查看被引用的帖子
来源：Chubby♨️ · x.com