# GitBook docs and AI agent readiness

How 4 products documented on GitBook score on the AI Agent Readiness Test. Average 86.9%, with the five agent surface checks for each.

Docs platform

4 of the 97 products tested serve their documentation on GitBook.

Scores run from 76.2% to 95.0%, averaging 86.9%. Every GitBook product tested passes llms.txt, llms-full.txt, Markdown mirror and Docs AI. The AI Agent Readiness Test scores the documentation, never the platform, so these numbers describe what these 4 teams published rather than what GitBook can do.

## Scores on GitBook

AI Agent Readiness Score for each product documented on GitBook.

Product

Category

Grade

Score

Reading

Surface

llms

full

.md

MCP

AI

[Felt](https://docsforagents.com/reports/felt-docs-ai-agent-readiness/)

[Geospatial & maps](https://docsforagents.com/grades/?category=geospatial)

A

95.0%

26/30

50/50

pass

pass

pass

pass

pass

[n8n](https://docsforagents.com/reports/n8n-docs-ai-agent-readiness/)

[Workflows & automation](https://docsforagents.com/grades/?category=workflows)

A

93.8%

25/30

50/50

pass

pass

pass

pass

pass

[CARTO](https://docsforagents.com/reports/carto-docs-ai-agent-readiness/)

[Geospatial & maps](https://docsforagents.com/grades/?category=geospatial)

B-

82.5%

16/30

50/50

pass

pass

pass

pass

pass

[Roboflow](https://docsforagents.com/reports/roboflow-docs-ai-agent-readiness/)

[AI models & inference](https://docsforagents.com/grades/?category=ai-models)

C

76.2%

21/30

40/50

pass

pass

pass

fail

pass

## Agent surface on GitBook

-   **llms.txt** 4 of 4
-   **llms-full.txt** 4 of 4
-   **Markdown mirror** 4 of 4
-   **MCP server** 3 of 4
-   **Docs AI** 4 of 4

Recorded as GitBook during testing. A sample of 4 shows what these teams shipped and does not establish a platform default.

[All docs platforms](https://docsforagents.com/platforms/) · [Every score in one table](https://docsforagents.com/grades/)

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Canonical URL: https://docsforagents.com/platforms/gitbook-docs-ai-agent-readiness/