AgentProbe
www.openai.com
34/ 100
10.7s·3/12 passed·4/30/2026

Access

Whether AI bots can actually reach your content

50
✗

AI Bot Access

Fail

All 3 AI bots appear blocked or receive reduced content.

✓

JS Independence

Pass

Rich text content (2475 chars) and 5 heading(s) available without JavaScript.

▲

Performance

Partial

Response time: 148ms. 1 redirect(s).

Agent-Native

Support for agent-specific protocols and formats

0
✗

Markdown Support

Fail

No markdown content negotiation support detected.

✗

MCP Protocol

Fail

No MCP (Model Context Protocol) configuration found.

✗

Structured API

Fail

No structured API or OpenAPI specification detected.

Discovery

How easily AI agents can find and understand your site

50
✗

llms.txt

Fail

No llms.txt file found at the root of the domain.

✓

robots.txt AI Bot Rules

Pass

robots.txt found. All 8 AI bots are allowed.

✓

XML Sitemap

Pass

sitemap.xml found. Sitemap index found with 34 entries.

✗

AI Manifest

Fail

No AI manifest files found (.well-known/ai-plugin.json or .well-known/mcp.json).

Metadata

Structured data and metadata quality

25
✗

Schema.org

Fail

No JSON-LD structured data found.

▲

HTML Metadata

Partial

Missing: h1.

Recommendations

7 suggestions
1

Add a /llms.txt file to help AI models understand your site content and structure.

2

Add a /.well-known/ai-plugin.json or mcp.json to declare AI capabilities.

3

Support content negotiation for text/markdown to serve agent-friendly content.

4

Consider implementing MCP (Model Context Protocol) for richer AI integration.

5

Expose an OpenAPI/Swagger spec so AI agents can discover your API endpoints.

6

Ensure AI bot user agents receive the same content as browser visitors.

7

Add JSON-LD structured data (Schema.org) to help AI understand your content.

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