Product launch telemetry is the bridge between shipping a feature and proving that the feature created growth. AIKit can turn every release into an agent-readable loop by publishing the launch page, instrumenting CTA events, summarizing customer signals, and feeding the next experiment back into the roadmap.
The Problem
Most product launches create a burst of activity and then lose the evidence. A team ships a feature, posts an announcement, watches a few dashboard numbers, and moves on. Two weeks later nobody can answer the important questions: which audience segment clicked, which objection appeared in support messages, which CTA converted, and which page should be updated for the next launch.
This is especially painful for AI-assisted marketing teams. Agents can help with copy, SEO, outreach, and follow-up, but only if the launch artifacts are structured enough to read. A normal blog post with a few paragraphs is not enough. The post needs headings, event names, acceptance criteria, snippets, and a clear feedback loop that turns raw engagement into the next action.
The Solution
