Result summary
Measured coverage
52/100
Methodology grade
C
Methodology legacy
37 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
XML Sitemap
+4 overall pts
No valid XML sitemap found. Checked: managementboek.nl/sitemap.xml, managementboek.nl/sitemap_index.xml.
XML Sitemap
HIGHSitemaps help AI crawlers discover all your pages efficiently. Without one, crawlers may miss important content or waste time discovering your site structure.
Create an XML sitemap and reference it in robots.txt with a Sitemap: directive.
<!-- /sitemap.xml -->
<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url>
<loc>https://managementboek.nl/</loc>
<lastmod>2025-01-15</lastmod>
<changefreq>weekly</changefreq>
<priority>1.0</priority>
</url>
<url>
<loc>https://managementboek.nl/about</loc>
<lastmod>2025-01-10</lastmod>
</url>
</urlset>
# Add to /robots.txt:
Sitemap: https://managementboek.nl/sitemap.xml
Failed
llms.txt
+4 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
High-value schema types
+4 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>
Detailed results
Agent Protocols
Weight 15% · 7 failed checkpoints
0/100
Weight 15% · 7 failed checkpoints
AI Content Discovery
Weight 30% · 3 failed, 1 partial
52/100
Weight 30% · 3 failed, 1 partial
Security & Trust
Weight 15% · 2 failed checkpoints
82/100
Weight 15% · 2 failed checkpoints
Content & Semantics
Weight 20% · 1 failed, 3 partial
73/100
Weight 20% · 1 failed, 3 partial
AI Search Signals
Weight 20% · 4 failed checkpoints
47/100
Weight 20% · 4 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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