For B2B revenue teams missing anonymous website traffic, Knock is a form-free lead engagement platform that identifies visitors, qualifies them with AI, and routes hot ones to reps over Slack, WhatsApp, LinkedIn, or chat.
Presence & Market Position
#53 of 64
AI-Native GTM Challengers
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Knock is working to replace the web form as the default point of B2B lead capture, using AI to identify anonymous site visitors, qualify them in real time, and route qualified buyers into live conversations over Slack, WhatsApp, and LinkedIn instead of a contact-form queue. Its own case studies frame the pitch around converting traffic a site already has rather than buying more of it. The company turns up in comparison lists alongside other anonymous-visitor and AI-native engagement platforms, and in the marketing-engineer community that has formed around AI-built GTM workflows, where Knock has co-hosted meetups. That reads as an early, developing presence, built more on comparison-list and community-event visibility than on deep practitioner debate so far.
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Business Profile
Knock was founded in 2023 and has stayed small by design, with nineteen employees running the business without a traditional sales or RevOps org, a structure it has attributed to building AI into its own operations from the start rather than layering AI on after the fact. The company has raised $2.1 million and reports crossing $1 million in annual recurring revenue within its first year, a milestone reported as of November 2025. It remains independent, with a customer base spanning security, fintech, and B2B SaaS companies.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Knock publishes an llms.txt file that indexes its product documentation, feature guides, competitor comparisons, and case studies for AI systems to reference, and that index expanded substantially in July 2026, with dozens of pages added. A dedicated API domain is registered but doesn't yet resolve to public reference docs, and no MCP server is on file. The build-out so far centers on making its own content legible to AI systems rather than exposing the product as an agent-callable surface.
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