AI Bot Crawl Statistics

Transparency dashboard — geolocus.ai, rolling 30 days.

Updated:

152
Crawls — 7 days
476
Crawls — 30 days
1,000
Crawls — all time
9.9%
AI bot share (30d)

AI Crawlers — Last 30 Days

47 crawls — 3 AI bot types.

Bot Crawls Share Last Seen
GPTBot (OpenAI) AI 38 80.9%
ClaudeBot (Anthropic) AI 7 14.9%
ChatGPT (OpenAI) AI 2 4.3%
Total AI47100%

Search & Other Crawlers — Last 30 Days

429 crawls — 2 bot types.

Bot Crawls Share Last Seen
crawler SEO/Other 309 72.0%
unknown_bot SEO/Other 120 28.0%
Total429100%

Top Crawled Paths — Last 30 Days

Path Crawls Share of Total
/research/whitepapers/whitepaper-5-1 378 79.4%
/ 17 3.6%
/multi-site-survey 9 1.9%
/case-studies 7 1.5%
/whitepaper 7 1.5%
/about 7 1.5%
/faq 6 1.3%
/press 6 1.3%
/contact 6 1.3%
/services 6 1.3%
/privacy 4 0.8%
/methodology/sitemap-benchmark 4 0.8%
/press/before-ai-can-understand-your-site-it-must-translate-it 4 0.8%
/audit/brafton-2026-04-27 3 0.6%
/site-comparison-4-24-26 3 0.6%

Collection method: Every bot request to geolocus.ai is intercepted at the Cloudflare edge by the translation-layer CF Pages Function (functions/[[path]].js). 34 bot user-agent patterns are classified via vendor/aryah-shared/src/bot-classification.ts; matched requests are logged to bot_crawl_logs (Supabase Postgres). Cache-HIT requests are also logged via a direct PostgREST insert from the CF Pages Function so no crawl is silently missed.

Raw counts only. No rounding. This is a transparency dashboard — exact numbers are the point. Cross-check against Cloudflare Analytics at any time.

Dogfood: This page demonstrates GEO Signal 3 in action — bot crawl logging on our own property, measured exactly as we measure client properties.

Reference property: Top10Lists.us/crawl-stats — established property with 3M+ crawls/30d using the same methodology.