RevSure automatically identifies and classifies common bot, crawler, and automated traffic to help ensure visitor and engagement data more accurately represents human activity.
Our detection combines multiple signals, including:
User-agent signals: identifies common search engine crawlers, AI agents, monitoring tools, social preview bots, automation clients, and other known bot patterns.
IP-based signals: identifies traffic originating from hosting, proxy, VPN, or other infrastructure commonly associated with automated traffic.
Ongoing classification: detection is evaluated across the visitor's observed activity rather than relying only on the first interaction.
This multi-signal approach helps RevSure detect a broader range of automated traffic, including cases where the user-agent alone may not be sufficient.
Bot detection is continuously improved as new types of automated traffic and patterns emerge.