On 2026-09-01, github.com scored 80/100, indicating strong visibility in AI-generated answers. This score reflects a consistent performance, with 4 out of 5 core signals passing. The domain is well-positioned for AI engines to read and cite its content.
How has github.com performed over time?
Our probe history for github.com reveals a wide range of scores, from 20 to 80, across 20 probes since July 2026. The most recent readings show a stable high score of 80 on multiple occasions, with some fluctuations to 65 and even 20. This variability suggests that while github.com often achieves strong visibility, it occasionally faces challenges that impact its score.
What did the probe see on 2026-09-01?
The probe on 2026-09-01 identified strong visibility for github.com, with 4 out of 5 core signals passing. The homepage is accessible to AI crawlers, returning HTTP 200 with approximately 7,023 characters of server-rendered text, allowing retrieval bots to read the content. Major AI crawlers like GPTBot and ClaudeBot can fetch key pages, and the presence of a well-formed /llms.txt file provides engines with a map to the content. However, the homepage lacks a JSON-LD schema, which prevents engines from identifying the type of entity.
How does github.com rank within the panel?
Within a panel of 10 well-known sites, github.com ranks 6th with a score of 80/100. The average score among these sites is 77.3, with a median of 90. This places github.com slightly above average but below the median, indicating room for improvement. Notably, the panel shows consistent failures in AI-crawler reachability, GPTBot/ClaudeBot access, and llms.txt presence, which github.com successfully passes.
What can other business sites learn from this?
For business sites aiming to enhance their AI visibility, github.com serves as a useful case study. Ensuring AI-crawler reachability and maintaining a well-formed /llms.txt file are critical steps. However, the absence of a JSON-LD schema on the homepage highlights a common oversight that can hinder AI engines from fully understanding the site's entity type. Addressing this gap could further improve visibility and ranking within competitive panels.
Overall, github.com's performance demonstrates the importance of maintaining technical readiness for AI engines, even as scores fluctuate over time.
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