MarkupX

It provides a full-stack workspace designed to help organizations address AI agents that browse, compare, and buy. The platform is a way to rank, gain citations, and prove revenue across SEO, GEO, and AEO, with a data layer and workflows tailored for agent-first decisions. It emphasizes machine-readability, structured data, and claims that its engines operate together in one platform to support both humans and agents.

MarkupX describes how its product works as a loop: research what agents and humans ask, ship assets that win, debug what's missing, and measure what matters. It consolidates what used to be multiple tools into seven engines that share a single data layer and workflow.

The platform lists its main capabilities as including backlinks and directory submission, blogging and programmatic SEO, local SEO at scale, GEO and AEO analytics, instant indexing, and a revenue attribution pipeline coming soon. It emphasizes a focus on agent-readiness through structured data and citations, with a plan to connect visibility work to revenue. The overall aim is to replace fragmented tools with a cohesive, AI-native workflow.

MarkupX outlines plans around seven engines converging into one OS, mentions ongoing beta and live modules, and references 150+ integrations. It also notes a monthly cost and targets a user base of more than 200 companies across SaaS, B2B, local, and agencies.

Use cases

• Support for AI agents and humans in ranking, citation, and revenue attribution tasks
• Enhance visibility across SEO + GEO + AEO surfaces used by AI agents