why we're building envvoy.

Two years ago, building an AI agent was a side project for the technically masochistic. Today my partner Somer and I watch indie devs ship one in a weekend. The build cost has collapsed, and that's the good news.

The bad news is that almost nobody knows how to be heard. The kid building Kestrel from a dorm room and the Series-C team in San Francisco are fighting the exact same problem: they made the thing, and now nobody knows.

The discovery layer for the agent economy doesn't exist. Search engines were built for documents. App stores were built for apps. Neither of them knows how to surface an agent that solves a specific problem for a specific person at a specific moment. The retrieval models inside ChatGPT, Claude, and Perplexity are getting closer — but only if your agent shows up in the rooms where those engines are looking.

That's the gap envvoy is for.

We take your agent — its name, its voice, its surface area — and make sure it shows up where users are actually asking. Across ChatGPT, Claude, Perplexity, Gemini. Across the eight marketplaces that matter for agent discovery today. Across the long tail of indexes that will matter tomorrow. We do the unglamorous work that nobody who built an agent wants to do themselves: AEO checks, drift detection, marketplace submissions, structured data, attestations, weekly reports.

The launch is one event. The discovery is the compounding work after.

We're shipping in beta with a small cohort of indie agents. No card today, no card tomorrow, until we exit beta. The case studies will live here when they're real. Until then, we're building.

If you've got an agent and you're tired of being invisible — start free.

— pat
pat@envvoy.ai