GitHub Enterprise — AI visibility report

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

Reporting period: Jul 20 – Jul 26, 2026 (Mon–Sun, 7 days)

GitHub Enterprise was fetched 34 times by AI agents this week, down from 35 the prior week (-3%), with ChatGPT-User accounting for 23 of those fetches.

34 AI agent fetches this week.
Across 6 distinct AI agents, delivering 249 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 4 to 6. This pattern indicates established AI-agent awareness of the URL rather than event-driven discovery.

Total fetches
34
7-day window
Distinct agents
6
unique user-agents
Live retrieval
76%
26 fetches
Training/index
24%
8 fetches

Daily activity

Scale: 4–6 fetches
Mon
6
Tue
5
Wed
4
Thu
5
Fri
5
Sat
4
Sun
5

Agent breakdown

Agent Operator Mode Fetches Share
chatgpt-user OpenAI Live retrieval 23 67.6%
meta-externalagent Meta Training/index 4 11.8%
oai-searchbot OpenAI Live retrieval 3 8.8%
bytespider ByteDance Training/index 2 5.9%
anthropic Anthropic Training/index 1 2.9%
claudebot Anthropic Training/index 1 2.9%

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.