A Clearer AI Traffic Dashboard
AI Traffic Analytics now makes it easier to understand which tracked visits came from AI systems, which pages are earning that traffic, and what changed compared with the previous period.
What's New
AI Share And Non-AI Tracked Visits
The dashboard now separates tracked traffic into:
- AI traffic: AI bot crawls plus AI platform referrals
- Bot crawls: visits from known AI crawlers
- AI referrals: visitors referred from AI assistants and answer engines
- Non-AI tracked visits: snippet-tracked visits that did not match AI bot or AI referral patterns
The overview also shows AI share of tracked visits, so you can see how much of your measured traffic stream is AI-driven.
Period-Over-Period Movement
Cards and charts now include period-over-period context. Use this to spot whether AI traffic, referrals, bot crawls, and non-AI tracked visits are growing or shrinking against the prior comparable period.
True Top AI Landing Pages
The Top Pages table is now ranked by AI traffic, not generic tracked traffic. This helps you find the docs, guides, comparison pages, and other assets that AI systems crawl or send visitors to most often.
Page Groups From Crawl Classification
Page groups use DevTune's crawl classification, such as docs, guides, blog, pricing, changelog, and other page types. This shows which content categories are carrying AI traffic rather than forcing every page to be inspected one by one.
Traffic Facts And Anomaly Alerts
The dashboard now reuses Command Center traffic facts to explain notable movement, and it surfaces conservative anomaly alerts when AI traffic, bot crawls, or AI referrals spike or drop against the previous period.
Performance Notes
The updated dashboard reads from hourly traffic rollups and bounded page summaries. It avoids raw event scans on the main dashboard path, so the additional views should stay lightweight as traffic volume grows.