Scan history Scanned 2026-08-29 12:37 UTC
Result summary
Measured stable-core coverage
62/100
Methodology grade
C
Methodology 2026-08-29
32 core checkpoints assessed
- Find
- 3/7 passed
- Read
- 14/23 passed
- Act
- 2/2 passed
Readiness profiles Filter the detailed results by purpose
Select a profile to filter the detailed results.
Action plan
Priority actions Prioritized by exact impact on the overall stable-core score.
Failed
XML Sitemap
+6 overall pts
No valid XML sitemap found. Checked: blokker.nl/sitemap.xml, blokker.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://blokker.nl/</loc>
<lastmod>2025-01-15</lastmod>
<changefreq>weekly</changefreq>
<priority>1.0</priority>
</url>
<url>
<loc>https://blokker.nl/about</loc>
<lastmod>2025-01-10</lastmod>
</url>
</urlset>
# Add to /robots.txt:
Sitemap: https://blokker.nl/sitemap.xml
Failed
High-value schema types
+5 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>
Failed
Heading hierarchy
+4 overall pts
No headings found on the page.
Heading hierarchy
HIGHAI agents use headings to build a content outline and determine topic hierarchy. A clear h1→h2→h3 structure helps AI systems extract and summarize your content accurately.
Add a clear <h1> heading and use sequential heading levels (h1 -> h2 -> h3). Proper heading hierarchy helps AI agents understand page structure and content importance. See developer.mozilla.org/en-US/docs/Web/HTML/Element/Heading_Elements for heading element documentation.
<h1>Page Title - One Per Page</h1>
<h2>Main Section</h2>
<h3>Subsection</h3>
<h3>Subsection</h3>
<h2>Another Section</h2>
<h3>Subsection</h3>
Detailed results
Agent Protocols
Weight 15% · No applicable checkpoints · 5 bonus opportunities
Not assessed
Weight 15% · No applicable checkpoints · 5 bonus opportunities
AI Content Discovery
Weight 30% · 3 failed, 1 partial · 5 bonus opportunities
58/100
Weight 30% · 3 failed, 1 partial · 5 bonus opportunities
Security & Trust
Weight 15% · 1 failed, 1 partial
75/100
Weight 15% · 1 failed, 1 partial
Content & Semantics
Weight 20% · 3 failed checkpoints
67/100
Weight 20% · 3 failed checkpoints
AI Search Signals
Weight 20% · 3 failed, 1 partial
55/100
Weight 20% · 3 failed, 1 partial
Supplemental evidence AI visitor test and training exposure. The score does not change.
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.
Next steps
Scan and fix from your editor. Install the MCP server to scan, and AI skills to fix.
claude mcp add isagentready-mcp -- npx -y isagentready-mcp
codex mcp add isagentready-mcp -- npx -y isagentready-mcp
gemini mcp add isagentready-mcp -- npx -y isagentready-mcp
docker run -i --rm ghcr.io/bartwaardenburg/isagentready-mcp
/plugin marketplace add bartwaardenburg/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.cursor/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.codeium/windsurf/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills
gemini skills install https://github.com/bartwaardenburg/isagentready-skills.git
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.config/agents/skills/isagentready-skills
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