GitHub's current probe score stands at 80/100, positioning it at rank 7 within a panel of 10 well-known sites. This score reflects strong visibility, with four out of five core signals passing. However, the absence of a JSON-LD schema on the homepage remains a notable gap.
How does github.com compare in the panel?
In the panel of 10 sites, GitHub ranks 7th, with a score of 80/100. The average score across the panel is 80.3, while the median is 90/100. Leading sites like cloudflare.com, stripe.com, and vercel.com each scored 100/100, showcasing optimal configurations for AI visibility. GitHub's score is respectable but indicates room for improvement, particularly in JSON-LD schema implementation.
What does our probe history reveal?
Since July 13, 2026, GitHub has been probed 63 times, with scores ranging from 20 to 80. The most recent readings show a fluctuation between 35 and 80, indicating variability in visibility factors. This inconsistency suggests that while GitHub often achieves strong visibility, certain elements may intermittently affect its score.
What did the probe find today?
Today's probe confirms strong visibility for GitHub, as AI engines can read and cite its content. The homepage returns an HTTP 200 status with approximately 6,806 characters of server-rendered text, ensuring retrieval bots can access it. Additionally, major AI crawlers like GPTBot and ClaudeBot can fetch key pages due to the absence of blanket Disallow directives. The presence of a well-formed /llms.txt file further aids AI engines in mapping GitHub's content.
However, the homepage lacks a JSON-LD schema, which prevents engines from identifying the type of entity GitHub represents. This absence is a missed opportunity for enhanced semantic clarity.
What should business sites learn from this?
GitHub's probe results highlight the importance of maintaining AI-crawler reachability and ensuring key pages are accessible to major AI engines. The presence of a well-structured /llms.txt file is beneficial for content mapping. However, business sites should not overlook the implementation of JSON-LD schemas, as these provide essential entity information that can improve AI understanding and visibility.
For sites aiming to optimize their AI visibility, focusing on consistent signal strength across all core areas is crucial. While GitHub demonstrates strong visibility overall, addressing gaps like JSON-LD schemas can further enhance its AI-readiness.
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