For marketing and RevOps teams protecting ad spend and pipeline data, CHEQ is a go-to-market security platform that fingerprints traffic and scores identities in real time to filter bots, fake leads, and invalid clicks before they pollute campaigns and CRM records.
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 positioning itself as a trust and identity layer for the human-AI customer journey, combining marketing security with agent-intent classification and governance. Its GTM presence centers on protecting paid acquisition, forms, analytics, and customer-data environments from invalid or automated activity. Recent conversation increasingly connects that established fraud and bot-detection work to agentic commerce, AI-agent identity, and the operational question of distinguishing beneficial automation from harmful traffic. Practitioner material also focuses on the quality of data entering marketing and customer platforms, especially in Adobe environments.
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InMobi
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GumGumHeineken, All Nippon Airways, Victorinox, Cvent, Paycor, Lionbridge, Nubank Mexico, Space NK, The Good Guys, UserWay
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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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