Agents that learn your product by using it.
Point Marketrix at a URL. It reads your docs, explores your app in a real browser as AI personas, and builds a living graph of how your product works — its screens, journeys, and behaviour. Everything below runs on that understanding, so you describe what you want in plain language instead of wiring it up.
User Studies — Synthetic research in three forms. UX Research: personas run neutral tasks and answer your research questions. Survey: real people answer your questionnaire through a no-login link while personas fill the same form in character, each with a justification behind every answer and conjoint trade-off analysis — the two stay side by side rather than being merged. A/B Study: two variants judged on conversion — each respondent judges one variant, so the arms are compared as two independent groups, and every persona's side-by-side preference is reported beside them. A winner is named only when that comparison clears significance and the two runs were comparable; otherwise you get No clear winner rather than a coin flip. You also see where friction peaks and who gives up.
User Support — An embeddable widget that answers your users in three modes: Tell them, Show them on the page, or Do it for them. Backed by session replay and click, scroll-depth, and attention heatmaps.
QA Flows — Turn plain-language requirements into journeys, bind personas to them, and run them in real Chrome across desktop, tablet, and mobile. Every journey returns a passed, failed, or indecisive outcome with screenshots and the steps taken. No selectors to maintain, and it adapts when your UI moves.
Workflows — Trigger multi-step workflows from GitHub, Slack, or timer events, then combine GitHub and Slack actions with Marketrix operations.
