Result summary
Measured coverage
58/100
Methodology grade
C
Methodology legacy
37 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
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 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
HSTS header
+4 overall pts
Strict-Transport-Security header is not set. Note: sites on the HSTS preload list may not send this header but are still protected via browser preloading.
HSTS header
HIGHHSTS prevents protocol downgrade attacks by telling browsers to always use HTTPS. AI agents that follow redirects benefit from HSTS as it eliminates insecure initial connections.
Add the Strict-Transport-Security header with max-age=31536000 (1 year) and includeSubDomains. If your site is on the HSTS preload list (hstspreload.org), the header is still recommended for first-visit protection.
# Nginx
add_header Strict-Transport-Security "max-age=31536000; includeSubDomains; preload" always;
# Apache (.htaccess)
Header always set Strict-Transport-Security "max-age=31536000; includeSubDomains; preload"
Failed
WebMCP Declarative API
+4 overall pts
No WebMCP signals found.
WebMCP Declarative API
HIGHWebMCP is the W3C proposal for exposing website functionality directly to AI agents. Declarative tool annotations on forms let agents perform actions (search, purchase, book) without screen scraping.
Implement WebMCP to let AI agents interact with your site. Declarative: add tool-name and tool-description attributes to <form> elements. Imperative: use navigator.modelContext.provideContext() to register tools.
<form tool-name="search" tool-description="Search products by keyword">
<input type="text" name="query" tool-param-description="Search query">
<button type="submit">Search</button>
</form>Detailed results
Agent Protocols
Weight 15% · 7 failed checkpoints
0/100
Weight 15% · 7 failed checkpoints
AI Content Discovery
Weight 30% · 1 failed checkpoint
90/100
Weight 30% · 1 failed checkpoint
Security & Trust
Weight 15% · 5 failed, 1 partial
32/100
Weight 15% · 5 failed, 1 partial
Content & Semantics
Weight 20% · 1 failed, 2 partial
81/100
Weight 20% · 1 failed, 2 partial
AI Search Signals
Weight 20% · 3 failed, 1 partial
53/100
Weight 20% · 3 failed, 1 partial
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. 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
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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