Changes since selected scan Score change: 0
Resolved
- None
New issues
- None
Category changes
- None
Result summary
Measured stable-core coverage
57/100
Methodology grade
C
Methodology 2026-08-29
38 core 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
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: mauritshuis.nl/sitemap.xml, mauritshuis.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://mauritshuis.nl/</loc>
<lastmod>2025-01-15</lastmod>
<changefreq>weekly</changefreq>
<priority>1.0</priority>
</url>
<url>
<loc>https://mauritshuis.nl/about</loc>
<lastmod>2025-01-10</lastmod>
</url>
</urlset>
# Add to /robots.txt:
Sitemap: https://mauritshuis.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% · 1 failed checkpoint · 5 bonus opportunities
0/100
Weight 15% · 1 failed checkpoint · 5 bonus opportunities
AI Content Discovery
Weight 30% · 2 failed, 1 partial · 5 bonus opportunities
70/100
Weight 30% · 2 failed, 1 partial · 5 bonus opportunities
Security & Trust
Weight 15% · 1 partial checkpoint
95/100
Weight 15% · 1 partial checkpoint
Content & Semantics
Weight 20% · 3 failed, 5 partial
66/100
Weight 20% · 3 failed, 5 partial
AI Search Signals
Weight 20% · 4 failed, 1 partial
42/100
Weight 20% · 4 failed, 1 partial
AI visitor test
We let an AI try common visitor tasks to show what works and where it gets stuck.
Can an AI understand this website?
UnavailableThis check is temporarily unavailable.
Can an AI find a useful action to take?
UnavailableThis check is temporarily unavailable.
AI Training Exposure
Does not affect the readiness score
Supplemental
Does not affect the readiness score
No AI training protections detected. Your content may be freely used for AI model training.
Could not determine the latest Common Crawl index.
No training crawlers are blocked in robots.txt. All known AI training bots can access your content.
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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docker run -i --rm ghcr.io/bartwaardenburg/isagentready-mcp
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git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.cursor/skills/isagentready-skills
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git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.config/agents/skills/isagentready-skills
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