Manicule

Companies building developer tools and technical products increasingly get discovered through AI agents and coding assistants rather than traditional search, but most have no visibility into how those agents describe them, whether agents recommend them over competitors, or whether the code snippets in their docs actually work when an agent tries to use them. Today these companies have no dedicated docs, content, or distribution built for how agents search and evaluate, and no way to measure their AI visibility the way they can measure SEO. Without this, a prospective user's coding agent may silently recommend a competitor's product instead, and the company never finds out why.

Manicule positions itself as an 'Agent Rel' practice, built around three tests agents apply before recommending a product: can they find you, do they choose you over competitors, and does the code they write from your docs actually work. The team rebuilds client documentation in 14 days and checks every code snippet against the live API, writes technical content and distributes it across X, LinkedIn, and Reddit, and runs evals testing real buyer questions across major AI models to assess recommendation rates. Alongside the done-for-you service, Manicule offers self-serve software that tracks how ChatGPT, Claude, and Gemini describe a brand, shows the underlying answers behind each visibility score, and connects a team's content and docs work to changes in AI visibility over time.