For marketing and RevOps teams, CHEQ is a go-to-market security platform that filters bots, invalid traffic, and fake form-fills out of ad spend and pipeline data before they corrupt the funnel.
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 →
CHEQ is working to extend its footprint from ad-fraud and invalid-traffic detection into a broader identity and trust layer for what it calls the human-AI era, with a dedicated product aimed at telling human, bot, and AI agent traffic apart. The conversation around the brand is still a quieter one relative to the wider go-to-market security category. What surfaces tends to be trade coverage of agentic commerce, discussing how the platform reads visitor intent and distinguishes agents from people, alongside webinar and partner content walking through data-quality and bot detection inside marketing analytics stacks. It reads as a brand still building its practitioner conversation rather than one already at the center of the category debate.
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Business Profile
CHEQ was founded in Tel Aviv in 2016 and has grown into a 260-person company serving more than 15,000 organizations, including Fortune 50 accounts, with offices in Tel Aviv, New York, Tokyo, and London. It has raised $182M to date. The product line started in ad fraud and invalid-traffic detection and has broadened into a fuller go-to-market security platform, covering form fraud, pipeline data quality, and bot and AI-agent traffic classification, which the company now describes as its core mission. In July 2026 it added Udi Mokady, founder and longtime CEO of CyberArk, as Chairman of the Board.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
CHEQ's public build-out centers on Agent Intent, a product that classifies incoming traffic as human, bot, or AI agent and reads intent accordingly, plus a Forrester recognition for bot and agent trust management. That's a detection and trust layer built for an agentic web rather than a developer-facing surface. No public API, MCP, SDK, or CLI documentation is on file yet.
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