Result summary
Readiness profiles
Methodology legacyMeasured coverage
64/100
Methodology grade
C
26 checkpoints assessed
17
Passed
5
Partial
4
Failed
0
Skipped
Strongest category
Content & Semantics
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
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
+6 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
# natuurhuisje.nl
> natuurhuisje.nl — your site description here.
## Docs
- [Getting Started](https://natuurhuisje.nl/docs/getting-started)
- [API Reference](https://natuurhuisje.nl/docs/api)
## Optional
- [Blog](https://natuurhuisje.nl/blog)
- [Changelog](https://natuurhuisje.nl/changelog)
Failed
Entity linking (@id)
+3 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": "natuurhuisje.nl/#organization") to enable cross-referencing between entities.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Organization",
"@id": "https://natuurhuisje.nl/#organization",
"name": "Your Company",
"url": "https://natuurhuisje.nl"
},
{
"@type": "WebSite",
"@id": "https://natuurhuisje.nl/#website",
"name": "Your Site",
"url": "https://natuurhuisje.nl",
"publisher": { "@id": "https://natuurhuisje.nl/#organization" }
}
]
}
</script>
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, 1 partial
78/100
1 failed, 1 partial
Security & Trust
Weight 15%
Needs attention
1 failed checkpoint
82/100
1 failed checkpoint
Content & Semantics
Weight 20%
Partial progress
3 partial checkpoints
90/100
3 partial checkpoints
AI Search Signals
Weight 20%
Needs attention
2 failed, 1 partial
53/100
2 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
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- Re-scan to verify improvements
claude mcp add isagentready-mcp -- npx -y isagentready-mcp
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