GitHub Enterprise — AI visibility report

How AI agents fetched /review/github-enterprise/ on BlockSentient

Reporting period: Jun 1 – Jun 7, 2026 (Mon–Sun, 7 days)

GitHub Enterprise was fetched 242 times by AI agents this week, up from 160 the prior week (+51%), with ChatGPT-User accounting for 227 of those fetches.

242 AI agent fetches this week.
Across 7 distinct AI agents, delivering 1,407 KB of content.
Pattern detected
Steady daily AI agent activity across all 7 days

Activity was distributed across all seven days, with daily counts ranging from 29 to 41. This pattern indicates established AI-agent awareness of the URL rather than event-driven discovery.

Total fetches
242
7-day window
Distinct agents
7
unique user-agents
Live retrieval
97%
234 fetches
Training/index
3%
8 fetches

Daily activity

Mon
31
Tue
32
Wed
41
Thu
40
Fri
34
Sat
29
Sun
35

Agent breakdown

Agent Operator Mode Fetches Share
chatgpt-user OpenAI Live retrieval 227 93.8%
perplexitybot Perplexity Live retrieval 5 2.1%
anthropic Anthropic Training/index 4 1.7%
meta-externalagent Meta Training/index 3 1.2%
bytespider ByteDance Training/index 1 0.4%
duckassistbot DuckDuckGo Live retrieval 1 0.4%
oai-searchbot OpenAI Live retrieval 1 0.4%

Methodology: every AI agent fetch of the GitHub Enterprise review is logged by our servers and classified by its user-agent string. We distinguish live retrieval (a real user asked an AI chatbot a question, the chatbot fetched this page to answer it) from training/index (scheduled AI crawling for model updates). We publish a fresh AI Visibility report every Monday at 02:00 UTC, covering the most recent complete Mon–Sun week.

This weekly report is free and public. We're currently scoping a paid vendor product with historical trends, query-intent classification, and cross-site comparison.