Result summary
Measured coverage
58/100
Methodology grade
C
Methodology legacy
47 checkpoints assessed
- Find
- 4/8 passed
- Read
- 18/25 passed
- Act
- 2/14 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
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
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>
Failed
A2A Agent Card
+4 overall pts
No A2A Agent Card found at /.well-known/agent-card.json or /.well-known/agent.json.
A2A Agent Card
HIGHGoogle's Agent-to-Agent (A2A) protocol enables autonomous agent-to-agent communication. An Agent Card at /.well-known/agent-card.json (new) or /.well-known/agent.json (legacy) advertises your agent's capabilities to other AI systems.
Create an A2A Agent Card at /.well-known/agent-card.json with required fields: name, description, url, version, capabilities, supportedInterfaces.
{
"name": "My Agent",
"description": "An AI assistant for customer support",
"url": "https://bitdefender.nl/agent",
"version": "1.0.0",
"capabilities": {
"streaming": true,
"pushNotifications": false
},
"supportedInterfaces": [
{
"url": "https://bitdefender.nl/mcp",
"transport": "http",
"protocol": "MCP/2025-06-18",
"protocolBinding": "MCP",
"protocolVersion": "2025-06-18"
}
],
"preferredTransport": "MCP",
"skills": [
{"id": "support", "name": "Customer Support"}
]
}
Detailed results
Agent Protocols
Weight 15% · 8 failed checkpoints
0/100
Weight 15% · 8 failed checkpoints
AI Content Discovery
Weight 30% · 3 failed, 1 partial
74/100
Weight 30% · 3 failed, 1 partial
Security & Trust
Weight 15% · 2 failed checkpoints
79/100
Weight 15% · 2 failed checkpoints
Content & Semantics
Weight 20% · 2 failed, 3 partial
75/100
Weight 20% · 2 failed, 3 partial
AI Search Signals
Weight 20% · 4 failed checkpoints
47/100
Weight 20% · 4 failed checkpoints
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 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. 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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