# github.com at 80/100: JSON-LD schema missing

> On 2026-09-21, github.com scored 80/100, ranking 6th in a panel of 10.

Source: https://geoplaybooks.com/blog/2026-09-21-pulse-github-com/

# github.com at 80/100: JSON-LD schema missing

GitHub.com scored 80 out of 100 on September 21, 2026, placing it sixth in a panel of ten well-known sites. This score reflects strong visibility, though the absence of a JSON-LD schema on the homepage limits AI engines from fully understanding the site's entity type.

## How did github.com perform in this probe?

GitHub.com achieved a score of 80/100, indicating strong visibility. The probe identified that AI engines can read and cite the domain, with four out of five core signals passing. The homepage is accessible to retrieval bots, returning an HTTP 200 status with approximately 6,808 characters of server-rendered text. Major AI crawlers like GPTBot, ClaudeBot, and PerplexityBot can fetch key pages, and the presence of a well-formed /llms.txt file (28,649 bytes) provides engines with a map to the site's content. However, the homepage lacks a JSON-LD schema, preventing engines from recognizing the type of entity GitHub represents.

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

Our probe history for GitHub.com includes 49 recordings since July 13, 2026, with scores ranging from 20 to 80. Recent readings show fluctuations, with scores of 80 on September 13 and 12, and a low of 20 on September 13. This variability suggests that while GitHub generally maintains strong visibility, there are occasional dips that could be due to temporary issues or changes in site configuration.

> 49 probes recorded 20-80 score range 6 of 10 rank in panel

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

Within a panel of ten well-known sites, GitHub.com ranks sixth with its score of 80/100. The panel's average score is 77.3, with a median of 90. The top performers, including Cloudflare, Stripe, and Vercel, each scored a perfect 100. GitHub's score is above the panel average but below the median, indicating room for improvement, particularly in areas like structured data representation.

## What lessons can other business sites draw from this?

For business sites aiming to improve their visibility to AI engines, the GitHub.com probe underscores the importance of structured data. While GitHub succeeds in accessibility and mapping its content for AI crawlers, the lack of a JSON-LD schema limits the engines' ability to categorize the site accurately. Implementing structured data can enhance AI understanding, potentially boosting visibility scores. Sites should ensure their homepages are accessible, key pages are reachable by major AI crawlers, and structured data is present to maximize their visibility potential.

GitHub's experience highlights the need for consistent monitoring and adaptation to maintain strong visibility scores. Regular audits using tools like our [AI crawler playbook](https://geoplaybooks.com/ai-crawlers/) and [llms.txt guide](https://geoplaybooks.com/llms-txt/) can help identify and rectify issues that may arise over time, ensuring that sites remain competitive in an AI-driven landscape.

> 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.