AgentProbe
www.google.com
25/ 100
1.1s·2/12 passed·4/30/2026

Access

Whether AI bots can actually reach your content

33

AI Bot Access

Partial

Site returned status 429 even for browser UA.

JS Independence

Partial

Could not fetch homepage to check JS independence.

Performance

Fail

Homepage returned status 429.

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 20 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

0

Schema.org

Fail

Could not fetch homepage to check Schema.org data.

HTML Metadata

Fail

Could not fetch homepage to check HTML metadata.

Recommendations

9 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

Improve server response time — AI agents value fast, reliable responses.

7

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

8

Improve HTML metadata: add lang, description, canonical, and proper heading structure.

9

Increase the amount of server-rendered content for better AI agent accessibility.