What is Marketrix.ai?

Marketrix is an AI‑driven platform that automates QA testing, self‑support, and product walkthroughs through continuous simulation of real user behavior. It constructs a live, spatial map of every navigation path and feature relationship, enabling autonomous agents to generate test cases from PRDs, execute user journeys, and surface bugs before release.

The same simulation engine powers instant, context‑aware support answers that adapt after each deployment, eliminating stale documentation and reducing ticket volume. Marketrix generates on‑demand walkthrough videos and provides UI/UX insights by analyzing friction points and failure rates across workflows.

It integrates directly with GitHub, Slack, and Microsoft Teams to deliver bug reports, notifications, and collaborative updates. The result is faster release cycles, lower support costs, and accelerated user onboarding for developers, QA teams, and customer‑support managers.

Marketrix.ai on the web:

Marketrix.ai pricing

Freemium

Free $0/mo

Starter $299/mo

Growth $999/mo

Enterprise ~$2500/mo

$299/mo is pricier than most for Developer tools median $20/mo

Most Developer tools tools start between $9.80 and $49 a month.

Verify on the official pricing page.

View plans

Marketrix.ai's key features

Autonomous QA testing agents
Real-time visual user guidance
Script-free test case generation
Continuous product mapping engine
Multiple support modes
WebMCP-enabled in-product widgets

Marketrix.ai use cases

Automate QA for new feature releases by feeding PRDs into Marketrix, generating comprehensive test cases, simulating real user journeys, and surfacing hidden bugs before deployment
Integrate Marketrix with GitHub, Slack, and Teams to create live navigation maps, provide instant UI/UX friction analytics, and push real‑time bug reports straight to development workflows
Leverage Marketrix’s user journey simulation to run continuous integration tests, capture UI friction insights, and generate live walkthroughs that help QA teams validate customer experience across multiple devices