Full Answer

The six plugins split roughly into two camps: detection-only tools that identify and log AI visitors, and commerce-aware tools that tie agent activity to revenue.

In the detection camp, Citelayer leads on breadth with 62 bot signatures maintained against a live registry. Known Agents takes a different approach, pulling from the Dark Visitors database to match user-agent strings at the server-log level — useful for stores that want raw access data rather than a dashboard. Agent Radar and Tactical Agent Detection focus on behavioral analysis, catching browser-based agents that don't announce themselves with a standard user-agent string. For a breakdown of the behavioral signals these tools look for, see What behavioral signals identify AI shopping agents?.

In the commerce camp, Agentic Commerce for WooCommerce goes beyond detection to attribute orders — it identifies which AI platform drove a purchase and feeds that into your analytics. AI Store Signals provides similar revenue-focused agent analytics with a reporting layer.

The gap matters because a crawler visiting your product page and a shopping agent completing a checkout are fundamentally different events. Detection plugins tell you who's visiting. Commerce plugins tell you who's buying. Most stores need both layers to get an accurate picture of how AI traffic actually affects their revenue.