Building the intelligence layer for AI-era marketing.

MarkGrid was founded in 2026 by a team that has spent the last 18 years inside the marketing function, not watching it from the outside. Our founders and early operators held CMO and senior marketing leadership roles at global consumer and B2B MNCs, where they shipped campaigns, owned growth P&Ls, and reported numbers to boards across every major channel shift of the last two decades.

We lived through the Google organic era, the paid-social gold rush, the mobile-first pivot, the content-marketing saturation, and the analytics consolidation. Each shift left a familiar pattern: a discovery channel emerged, measurement lagged by years, and the brands that invested early compounded an unfair advantage.

In 2025 the pattern repeated, at a faster pace than anything we had seen. AI assistants became the default starting point for a growing share of product research, B2B evaluations, and high-intent queries. Yet the CMOs we spoke to still had no standardized way to measure their presence inside those answers, no diagnostic to understand why a competitor was being cited instead, and no operating system to close the gap.

MarkGrid is the answer we wish we had as operators. Model Share is the first standardized metric for brand visibility inside AI answers, and the platform around it is the full execution layer, detecting visibility gaps, explaining why they exist, and deploying AI agents to fix them across SEO, content, community, and competitive positioning.