Changes since selected scan Score change: 0
Resolved
- None
New issues
- None
Category changes
- None
Result summary
Readiness profiles
Methodology 2026-08-29Measured stable-core coverage
51/100
Methodology grade
C
39 core checkpoints assessed
21
Passed
5
Partial
13
Failed
10
Skipped
Strongest category
Content & Semantics
Weakest category
Agent Protocols
Action plan
Priority actions
Highest-impact implementation details
3 prioritized actions
Prioritized by exact impact on the overall stable-core score.
Failed
OpenAPI / API documentation
+15 overall pts
No OpenAPI or Swagger documentation found.
OpenAPI / API documentation
HIGHOpenAPI specifications let AI agents understand and call your API programmatically. AI coding assistants and agent frameworks use OpenAPI to generate correct API calls automatically.
Create an OpenAPI 3.x specification and serve it at /openapi.json or /.well-known/openapi to enable AI agents to discover and use your API.
{
"openapi": "3.1.0",
"info": {
"title": "My API",
"version": "1.0.0"
},
"paths": {
"/api/search": {
"get": {
"summary": "Search items",
"parameters": [
{"name": "q", "in": "query", "schema": {"type": "string"}}
]
}
}
}
}
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
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 Bing and give agents typed, unambiguous entities to extract instead of inferring from prose. Their effect on AI-search citations is indirect, via the search indexes that feed products like ChatGPT and Perplexity.
Add JSON-LD markup for content-appropriate types like Article, Product, SoftwareApplication, FAQPage, LocalBusiness, Service, Event, or VideoObject so agents and search engines can identify your content type and extract structured facts reliably.
<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%
Needs attention
1 failed score-impacting checkpoint
5 bonus opportunities and 8 informational findings; do not affect the core score
Core score
0/100
1 failed score-impacting checkpoint
5 bonus opportunities and 8 informational findings; do not affect the core score
AI Content Discovery
Weight 30%
Needs attention
3 failed, 1 partial score-impacting checkpoints
6 bonus opportunities; do not affect the core score
Core score
54/100
3 failed, 1 partial score-impacting checkpoints
6 bonus opportunities; do not affect the core score
Security & Trust
Weight 15%
Needs attention
4 failed score-impacting checkpoints
1 bonus opportunity; does not affect the core score
Core score
63/100
4 failed score-impacting checkpoints
1 bonus opportunity; does not affect the core score
Content & Semantics
Weight 20%
Needs attention
1 failed, 4 partial score-impacting checkpoints
Core score
79/100
1 failed, 4 partial score-impacting checkpoints
AI Search Signals
Weight 20%
Needs attention
4 failed score-impacting checkpoints
Core score
47/100
4 failed score-impacting checkpoints
AI Training Exposure
Supplemental
Does not affect the readiness score
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. ai.txt lets you declare AI usage preferences for your content.
No Web Bot Auth signature key directory found. Bots cannot prove their identity to origins via signed HTTP requests.
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