Detect and manage AI agent visits to your site. Classify humans, crawlers, and AI assistants, then serve each audience differently. Free early access.
VisitorType is a tag manager for the AI-traffic era that detects and classifies all visitors to your website — humans, AI crawlers, AI search bots, assistant fetchers, and agentic browsers. With a lightweight 3 kB snippet and server-side tracking for non-JavaScript crawlers, it solves the problem of invisible AI traffic that traditional analytics miss. Built for marketing teams, growth engineers, and site operators who want to understand and optimize for their machine visitors as precisely as they do for humans.
Total visitor classification: Detects 35+ AI agents including GPTBot, ClaudeBot, and Perplexity across human, crawler, search bot, assistant, and agentic browser categories using a curated agent registry and behavioral signals.
GTM-style rules engine: Create triggers and tags based on visitor type — fire analytics only for humans, serve llms.txt to crawlers, inject canonical facts for AI search bots — without deploying code.
AI-native management: Every account includes an MCP server endpoint, allowing you to query your AI traffic data with natural language from tools like Claude or ChatGPT.
Server-side crawler detection: A backend API captures crawlers that never execute JavaScript, with ready-made adapters for Next.js, Cloudflare Workers, and Express.
Privacy by design: Cookieless, fingerprint-free, GDPR-friendly, and honors Global Privacy Control signals.
Marketing teams tired of inaccurate analytics and wanting to measure AI referrals as legitimate traffic, with attribution data showing which agents drove conversions.
Growth engineers and site operators needing to optimize content delivery for different visitor types — serving structured data to AI crawlers while preserving human-focused design and storytelling.
Product teams building for the AI-augmented web who want to understand how their product surfaces in assistant responses and ensure their data is accurately represented.
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