MetadataA representative verified their company email and completed GTM Report’s profile fact-check. Not a ranking, endorsement, or paid placement.
For B2B demand-gen teams, Metadata is an AI advertising platform that builds audiences, creatives, landing pages, and campaigns, then runs and optimizes them across 12 channels while marketers retain budget and launch approvals.
Presence & Market Position
#122 of 141
Traditional SaaS Going Headless
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Metadata is positioning itself as an agent-driven execution layer for B2B advertising, connecting audience creation, creative production, campaign setup, and optimization across channels. Its market presence is more established within demand-generation and account-based marketing conversations than in the broader GTM builder stack. The record shows it appearing in category comparisons around targeted advertising and in discussions that use its B2B advertising benchmarks as market context. Its current product framing centers on autonomous campaign work with budget and approval controls retained by marketing teams, extending the company’s established paid-media focus into an agent-facing operating model.
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Business Profile
Founded in 2016 by CEO Gil Allouche, Metadata has raised $48.8 million to build what it calls the execution layer for B2B paid media, sitting between demand-intelligence tools and the ad platforms themselves. The company says it manages more than $1 billion in media spend for over 200 customers and has run more than 260,000 pricing and creative experiments. It operates independently, with a compact team spanning research, engineering, and go-to-market roles. Recent hires point to continued investment on the research and development side as the company pushes automation further into campaign execution.
Agent Readiness
Not yet graded.
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Metadata maintains a developer portal covering both API and Model Context Protocol documentation, giving external tools programmatic access to its campaign and audience-building system. The platform already runs campaign creation, launch, and optimization with AI, with only budget approval left to a person. The published agent surface extends that existing automation rather than adding a separate interface on top of it.
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