For performance marketers moving budget into TV, MNTN is a self-serve connected TV advertising platform that lets teams plan, buy, and measure CTV campaigns with the same performance metrics and control as paid social and search.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
MNTN positions itself as a self-serve connected TV platform that gives performance marketers the same planning, buying, and measurement control they have in paid search and social, extended recently with an AI creative tool that generates ready-to-air commercials and an automated audience-matching layer built on household intent signals. Conversation touches the company mostly through leadership commentary on the broader AI-infrastructure buildout — data center capacity, cloud compute economics — rather than product-specific discussion of the CTV platform itself. That leaves a quieter footprint in GTM conversation so far, with the category discussion still centered more on public commentary from the top than on the platform's day-to-day use.
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Business Profile
MNTN went public on NASDAQ in May 2025, roughly seven years after founding in Austin in 2018. The company has raised $185.8M to date and now trades at a market cap of about $689M, with $290M in FY25 revenue, up 29% year over year. At 836 employees, it has scaled well past its startup years into a full public-company operation serving small and mid-sized brands alongside larger accounts. Ryan Reynolds, who acquired and later sold back MNTN's in-house marketing arm, remains on as Chief Creative Officer — one of the more visible faces attached to the platform's advertising-industry positioning.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
MNTN's public AI investment so far sits inside the product rather than exposed to outside agents: QuickFrame AI generates ad creative from script to edit, and MNTN Matched builds audiences from real-time household signals, both running behind the platform's own interface. The site references integrations and APIs for measurement, but no public agent surface — API docs, MCP server, or SDK — is on file yet.
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