More in Website analytics
- Bots and AI crawlers
- Traffic sources, UTM and ad click IDs
- Are bots and AI crawlers counted in my visitors?
- How does TapCub detect bots?
- A real visitor is marked as a bot — how do I fix it?
- How does TapCub decide a visit’s channel?
- How should I name my UTM parameters?
- Does TapCub track ad click IDs like gclid?
- Why do my organic search terms look empty?
- How do I add annotations to my charts?
- How do I get alerted when traffic drops or spikes?
- How do I schedule email reports?
- How do I share a dashboard or report?
- How do I check Core Web Vitals for real visitors?
- How do I find JavaScript errors on my site?
- How do I see website visitors in real time?
- How do I compare date ranges?
- How do I import server logs?
- How do I check crawl health and crawler errors?
- How do I find the pages where visitors leave my website?
- All guides in this category
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Open Web analytics → Bots. The AI ledger tab shows, per AI operator, how many times it fetched your pages and how many human visitors it sent back — and the ratio between the two. A high ratio means many reads, few people.
Three tabs
Open Web analyticsBots. There are three tabs:
- AI ledger — per AI operator: fetches for training and for answer engines, how many human visitors that operator sent back, and the ratio between the two. A high ratio means many reads and few people.
- AI visibility — the same data the other way around: visits sent back divided by fetches, so you can see which assistants actually cite you.
- All bots — name, operator, purpose (search, AI training, AI answers, monitoring), requests, pages, most common status code, and first and last seen. Search engines also get a small health table with success rate, 404s and 5xx.
Ledger fetches vs AI sources in traffic
Two different things share the word "AI". The AI source in your Sources report is a person who clicked through from an AI product. The ledger counts programs reading your pages. They are related but never equal — one program can read a page a hundred times and send nobody, or read once and send many.
For the full story on reading the ledger with sample numbers, see the AI crawler ledger post.
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