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What Bots Does answer.cloud Track?

Understand agent analytics categories, how requests are observed, and why browser analytics cannot identify every crawler.

Published

answer.cloud agent analytics categorizes observed requests, including ordinary visitors, search crawlers, user-triggered AI fetchers, and model-training bots where the request can be classified.

Where the evidence comes from

Request-level analytics at the server or edge can observe a request even when it does not run JavaScript. Browser analytics records browser-side activity and is useful for human sessions and referral behavior, but it is not a complete crawler log.

For an existing Cloudflare-proxied website, use the Worker integration. A Worker must be attached to the relevant website routes; a standalone workers.dev page cannot observe requests to your domain.

Interpret classifications carefully

Provider user agents and their purposes can change. A user-agent string can also be spoofed. Treat dashboard categories as classifications of observed requests rather than proof of a provider’s identity or a complete list of every AI bot on the internet. Use published provider verification information where available.

Separate training crawls, search indexing, and user-triggered fetches when the data supports that distinction. A crawler request does not establish a citation, a hidden search query, or the content of a visitor’s separate AI conversation.

Pair crawl activity with human AI referrals, on-site chat questions, and controlled answer tests. See visibility metrics.

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