Changes since selected scan Not comparable because methodology information is unavailable
Result summary
Readiness profiles
Methodology legacyMeasured coverage
55/100
Methodology grade
C
36 checkpoints assessed
17
Passed
6
Partial
13
Failed
1
Skipped
Strongest category
Security & Trust
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
robots.txt present
+5 overall pts
robots.txt returned HTTP 404.
robots.txt present
HIGHrobots.txt is the universal standard for telling crawlers what they can access. AI crawlers like GPTBot, ClaudeBot and Googlebot-Extended check this file first before crawling your site.
Create a robots.txt file at the root of your website.
# /robots.txt
User-agent: *
Allow: /
# Allow AI crawlers explicitly
User-agent: GPTBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: Google-Extended
Allow: /
Sitemap: https://byte.nl/sitemap.xml
Failed
llms.txt
+5 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
# byte.nl
> byte.nl — your site description here.
## Docs
- [Getting Started](https://byte.nl/docs/getting-started)
- [API Reference](https://byte.nl/docs/api)
## Optional
- [Blog](https://byte.nl/blog)
- [Changelog](https://byte.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%
Needs attention
7 failed checkpoints
0/100
7 failed checkpoints
AI Content Discovery
Weight 30%
Needs attention
2 failed checkpoints
65/100
2 failed checkpoints
Security & Trust
Weight 15%
Needs attention
1 failed checkpoint
82/100
1 failed checkpoint
Content & Semantics
Weight 20%
Partial progress
5 partial checkpoints
78/100
5 partial checkpoints
AI Search Signals
Weight 20%
Needs attention
3 failed, 1 partial
53/100
3 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 robots.txt found. Training crawlers can freely 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
- Prioritized improvement recommendations
- Step-by-step implementation guide