Track AI crawlers from any source
Bring in crawl data from CDN, hosting or CMS logs, or a log file you upload.
Connect server or CDN logs to see the AI crawlers that visit your pages, what they read, and whether your robots rules help or hurt.
| Bot | Intent | Path | Status | Seen |
|---|---|---|---|---|
| Answer bot A | Answer | /pricing | 200 | 2m |
| Training bot B | Training | /blog/crm-guide | 200 | 6m |
| Search bot C | Search | /features | 200 | 11m |
| Answer bot D | Answer | /docs/setup | 404 | 18m |
| Training bot E | Training | /about | 200 | 25m |
Built for in-house brand teams and the agencies that support them
See the AI crawlers that reach your site, understand their intent and decide which bots matter.
Bring in crawl data from CDN, hosting or CMS logs, or a log file you upload.
Separate bots that train models from those that fetch pages for live answers.
Illustrative data
See the URLs that return errors when AI bots try to read them.
Illustrative data
See which crawlers your robots rules allow, block or miss, so you don’t lock out the bots you want.
User-agent: answer-bot-a Allow: / User-agent: training-bot-b Disallow: /
Follow crawl patterns by bot, model and URL, month over month.
Illustrative data
See which pages bots visit most, then check whether those pages appear in AI answers.
Illustrative data
You can’t be cited if you can’t be read. Crawl data shows whether AI agents can reach the pages you want them to use.
See how Bueniq data could flow into assistants, editors and automation tools through the Model Context Protocol.
Learn moreTypical workflows across in-house and agency teams.
See which pages AI assistants already lean on, then refresh the ones that slipped out of answers before planning anything new.
Put AI visibility next to organic rankings in the weekly report, so leadership sees one picture of search instead of two disconnected ones.
Find the publications and review sites cited most often in your category, and prioritise outreach where it changes what AI repeats.
Open each client meeting with a prompt-level view of where competitors appear and the client does not, built from the same tracked data every week.
Compare how each market and model describes the brand, and catch outdated claims before they spread across answers.
Track which products appear when shoppers ask for recommendations, and which merchants and sources AI points them to.
Answers to common questions about agent analytics and Bueniq.
From server, CDN or log data you choose to connect. Setup depends on your hosting stack.
Training bots collect content to build models. Answer bots fetch pages while an assistant is responding to a user.
No. It focuses on AI agents and AI referrals, alongside the analytics you already use.