Changes since selected scan Not comparable because methodology information is unavailable
Result summary
Readiness profiles
Methodology legacyMeasured coverage
41/100
Methodology grade
C
11 checkpoints assessed
8
Passed
1
Partial
2
Failed
0
Skipped
Strongest category
AI Content Discovery
Weakest category
AI Search Signals
Action plan
Priority actions
Highest-impact implementation details
3 prioritized actions
Prioritized by exact impact on the overall stable-core score.
Failed
llms.txt
+10 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
# debelegger.nl
> debelegger.nl — your site description here.
## Docs
- [Getting Started](https://debelegger.nl/docs/getting-started)
- [API Reference](https://debelegger.nl/docs/api)
## Optional
- [Blog](https://debelegger.nl/blog)
- [Changelog](https://debelegger.nl/changelog)
Failed
Entity linking (@id)
+5 overall pts
No JSON-LD entities use @id for entity linking.
Entity linking (@id)
HIGHEntity linking via @id creates a connected graph of your content. AI systems can follow these references to build deeper understanding of relationships between your pages, organization, and content.
Add @id properties to your JSON-LD entities (e.g. "@id": "debelegger.nl/#organization") to enable cross-referencing between entities.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Organization",
"@id": "https://debelegger.nl/#organization",
"name": "Your Company",
"url": "https://debelegger.nl"
},
{
"@type": "WebSite",
"@id": "https://debelegger.nl/#website",
"name": "Your Site",
"url": "https://debelegger.nl",
"publisher": { "@id": "https://debelegger.nl/#organization" }
}
]
}
</script>
Partial
Schema validation
+3 overall pts
Minor validation issues: WebSite missing required properties: name.
Schema validation
MEDIUMInvalid structured data is ignored by search engines and AI systems. Validation errors mean your markup effort provides zero benefit — properly structured data is essential.
Fix the structural issues in your JSON-LD to ensure maximum compatibility with AI systems.
Detailed results
Agent Protocols
Weight 15%
Not assessed
No applicable checkpoints
0/100
No applicable checkpoints
AI Content Discovery
Weight 30%
Needs attention
1 failed checkpoint
83/100
1 failed checkpoint
Security & Trust
Weight 15%
Not assessed
No applicable checkpoints
0/100
No applicable checkpoints
Content & Semantics
Weight 20%
Not assessed
No applicable checkpoints
0/100
No applicable checkpoints
AI Search Signals
Weight 20%
Needs attention
1 failed, 1 partial
80/100
1 failed, 1 partial
AI Training Exposure
Supplemental
Does not affect the readiness score
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. 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
/plugin marketplace add bartwaardenburg/isagentready-skills
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- Detailed score breakdown per category
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