Siteline reads server data to show what AI agents actually do on a site: which pages ChatGPT, Claude and Perplexity crawlers fetch, where they hit obstacles, and whether those visits turn into human referrals and customers. Citation monitoring and an insights agent sit alongside.
Following agent visits through to conversion is the part almost nobody does. The rest of this category counts mentions and stops, which measures presence rather than value, and the question a marketing team actually has is whether being cited by an assistant brings anyone who buys. Reporting where agents stall is the other half: a page a crawler cannot parse is a fixable problem nobody currently sees.
Large Language Analytics offers a free tier with no card and a Scale plan with Slack support, but publishes no figures. Server-log analysis depends on correctly identifying which user agent is which, attribution from an assistant answer to a sale is inherently partial, and this whole category is young enough that methodologies differ between vendors.
