Result summary
Measured coverage
65/100
Methodology grade
C
Methodology legacy
33 checkpoints assessed
Readiness profiles
Select a profile to filter the detailed results.
Action plan
Priority actions
Highest-impact implementation details
3 prioritized actions
Prioritized by exact impact on the overall stable-core score.
Failed
High-value schema types
+6 overall pts
No high-value schema types found. We check for 17 recognized types including Article, Product, SoftwareApplication, FAQPage, LocalBusiness, VideoObject, and more.
High-value schema types
HIGHCertain schema types (Article, Product, FAQPage, etc.) trigger rich results in Google and are used by AI search engines like Perplexity and ChatGPT to generate citations and structured answers.
Add JSON-LD markup for content-appropriate types like Article, Product, SoftwareApplication, FAQPage, LocalBusiness, Service, Event, or VideoObject to improve visibility in AI-powered search results.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "Your App Name",
"operatingSystem": "Web",
"applicationCategory": "BusinessApplication",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD"
}
}
</script>
Failed
llms.txt
+5 overall pts
No valid llms.txt found at /llms.txt.
llms.txt
HIGHllms.txt is a new standard that provides LLMs with a structured overview of your site — key pages, documentation links, and context — in a format optimized for AI consumption.
Create an /llms.txt file with a markdown heading and relevant URLs to help LLMs understand your site.
# /llms.txt
# managementboek.nl
> managementboek.nl — your site description here.
## Docs
- [Getting Started](https://managementboek.nl/docs/getting-started)
- [API Reference](https://managementboek.nl/docs/api)
## Optional
- [Blog](https://managementboek.nl/blog)
- [Changelog](https://managementboek.nl/changelog)
Failed
WebMCP Declarative API
+3 overall pts
No WebMCP signals found.
WebMCP Declarative API
HIGHWebMCP is the W3C proposal for exposing website functionality directly to AI agents. Declarative tool annotations on forms let agents perform actions (search, purchase, book) without screen scraping.
Implement WebMCP to let AI agents interact with your site. Declarative: add tool-name and tool-description attributes to <form> elements. Imperative: use navigator.modelContext.provideContext() to register tools.
<form tool-name="search" tool-description="Search products by keyword">
<input type="text" name="query" tool-param-description="Search query">
<button type="submit">Search</button>
</form>
Detailed results
Agent Protocols
Weight 15% · 7 failed checkpoints
0/100
Weight 15% · 7 failed checkpoints
AI Content Discovery
Weight 30% · 1 failed, 1 partial
74/100
Weight 30% · 1 failed, 1 partial
Security & Trust
Weight 15% · All checkpoints passed
100/100
Weight 15% · All checkpoints passed
Content & Semantics
Weight 20% · 3 partial checkpoints
80/100
Weight 20% · 3 partial checkpoints
AI Search Signals
Weight 20% · 2 failed checkpoints
60/100
Weight 20% · 2 failed checkpoints
AI Training Exposure
Does not affect the readiness score
Supplemental
Does not affect the readiness score
1 of 3 AI training protection mechanisms active.
Could not determine the latest Common Crawl index.
1 of 8 training crawlers blocked: Amazonbot. Still allowed: Applebot-Extended, Bytespider, CCBot, ClaudeBot, GPTBot, Google-Extended, meta-externalagent.
No TDMRep file found at /.well-known/tdmrep.json. The TDM Reservation Protocol (W3C) lets you declare whether you reserve text and data mining rights. See w3.org/community/reports/tdmrep/CG-FINAL-tdmrep-20240510 for the specification.
No ai.txt file found. This emerging standard lets you declare AI usage preferences for your content.
Scan and fix from your editor
Install our MCP server to scan any website from your terminal. Pair it with AI agent skills to fix failing checks automatically.
- Scan any website directly from your terminal
- Fix failing checks with AI agent skills
- Re-scan to verify improvements
claude mcp add isagentready-mcp -- npx -y isagentready-mcp
codex mcp add isagentready-mcp -- npx -y isagentready-mcp
gemini mcp add isagentready-mcp -- npx -y isagentready-mcp
docker run -i --rm ghcr.io/bartwaardenburg/isagentready-mcp
/plugin marketplace add bartwaardenburg/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.cursor/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.codeium/windsurf/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills
gemini skills install https://github.com/bartwaardenburg/isagentready-skills.git
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.config/agents/skills/isagentready-skills
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- Detailed score breakdown per category
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