# github.com ranks 5th in panel of 10, scoring 80/100

> On 2026-10-01, github.com scored 80/100, ranking 5th in a panel of 10 sites.

Source: https://geoplaybooks.com/blog/2026-10-01-pulse-github-com/

# github.com ranks 5th in panel of 10, scoring 80/100

GitHub.com scores 80/100, placing it 5th in a panel of 10 well-known sites as of October 1, 2026. This score reflects strong visibility, with AI engines able to read and cite content from the platform.

## How does github.com perform in AI visibility?

Our latest probe indicates that GitHub.com has strong visibility with a score of 80/100. The site passes four out of five core signals, allowing AI engines to read and cite its content effectively. The homepage is reachable by AI crawlers, returning HTTP 200 with approximately 6,594 characters of server-rendered text. Importantly, major AI crawlers like GPTBot, ClaudeBot, and PerplexityBot can access key pages without any blanket disallow directives.

## What does our probe history reveal about github.com?

Since July 13, 2026, we have recorded 57 probes for GitHub.com. The observed range for scores has varied between 20 and 80 out of 100. Recent readings have shown fluctuations, with scores of 80 and 65 alternating on September 28, 2026, and previous scores of 80 and 35 on September 26 and 24, respectively. This variability suggests occasional changes in the site's visibility factors.

> 57 probes recorded 20-80 observed score range 5 of 10 rank in panel

## How does github.com compare within the panel context?

Within a panel of 10 well-known sites, GitHub.com ranks 5th with its score of 80/100. The average score across the panel is 76.3, with a median of 80. GitHub.com is on par with the median, indicating competitive performance among its peers. Notably, the panel struggles most with AI-crawler reachability, GPTBot/ClaudeBot access, and the presence of an llms.txt file, which GitHub.com successfully addresses.

## What signal does github.com fail?

The one area where GitHub.com falls short is the absence of a JSON-LD schema on its homepage. This omission means that AI engines cannot easily determine the type of entity represented by the site. While this does not prevent AI engines from accessing and citing content, it may affect the precision of how GitHub.com is categorized and understood by AI systems.

## What should other business sites learn from github.com's performance?

Business sites aiming to enhance their AI visibility can take a cue from GitHub.com's setup. Ensuring that AI crawlers can access key pages and providing a well-formed llms.txt file are crucial steps. However, the lack of a JSON-LD schema highlights the importance of structured data in helping AI engines accurately interpret site content. For further guidance, refer to our [AI crawler playbook](https://geoplaybooks.com/ai-crawlers/) and [llms.txt guide](https://geoplaybooks.com/llms-txt/).

> Run the same 5-signal probe on your own domain This note came out of the hourly GEO Pulse board. The free checker runs the identical probe on any site, and Monitor re-runs it every month.