This site uses Cloudflare bot protection. Our scanner received a challenge page instead of real content, so the scores below reflect what AI systems can access, not the actual site quality. Well-known brands may still appear in AI answers via training data and search indexes, but direct access by both crawlers and agents is blocked.

Action plan

Priority actions Highest-impact implementation details

3 prioritized actions

Prioritized by exact impact on the overall stable-core score.

JSON-LD present +5 overall pts

No valid JSON-LD blocks with schema.org @context found.

JSON-LD present

HIGH

JSON-LD is the preferred format for structured data by Google and AI search engines. It tells AI systems exactly what your page is about using a standardized vocabulary.

Add at least one <script type="application/ld+json"> block with "@context": "schema.org" describing your organization or page content. Schema markup provides a 73% higher selection rate in Google AI Overviews.

JSON-LD html

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://autodoc.nl",
  "logo": "https://autodoc.nl/logo.png"
}
</script>

Sources

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

HIGH

Certain 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.

JSON-LD html

<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>

Sources

Heading hierarchy +4 overall pts

No headings found on the page.

Heading hierarchy

HIGH

AI 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.

HTML html

<h1>Page Title - One Per Page</h1>
  <h2>Main Section</h2>
    <h3>Subsection</h3>
    <h3>Subsection</h3>
  <h2>Another Section</h2>
    <h3>Subsection</h3>

Sources

Fix with AI Skills

$ /plugin marketplace add bartwaardenburg/isagentready-skills

Detailed results

Agent Protocols Weight 15% Needs attention

8 failed checkpoints

0/100

WebMCP Declarative API: Failed

API Catalog (RFC 9727): Failed

Agent Skills index: Failed

WebMCP manifest: Failed

A2A Agent Card: Failed

MCP Discovery: Failed

OpenAPI / API documentation: Failed

agents.json: Failed

AI Content Discovery Weight 30% Needs attention

8 failed checkpoints

0/100

robots.txt present: Failed

AI crawler directives: Skipped

XML Sitemap: Failed

llms.txt: Failed

Meta robots / X-Robots-Tag: Failed

Content freshness signals: Failed

Content negotiation (text/markdown): Failed

HTTP bot accessibility: Failed

Link response headers: Failed

Security & Trust Weight 15% Ready

All checkpoints passed

100/100

HTTPS: Passed

HSTS header: Passed

Content-Security-Policy: Passed

X-Content-Type-Options: Passed

Frame protection: Passed

CORS configuration: Passed

Referrer-Policy: Passed

Content & Semantics Weight 20% Needs attention

2 failed, 2 partial

40/100

Server-side rendered content: Partial

Document title: Passed

aria-hidden misuse: Passed

Heading hierarchy: Failed

Semantic HTML elements: Failed

Accessible landmarks & ARIA: Partial

Language attribute: Passed

AI Search Signals Weight 20% Needs attention

5 failed checkpoints

0/100

JSON-LD present: Failed

Organization / WebSite schema: Failed

High-value schema types: Failed

FAQPage schema: Failed

Author attribution: Failed

AI Training Exposure Supplemental

Does not affect the readiness score

No AI training protections detected. Your content may be freely used for AI model training.

Common Crawl presence Unknown

Could not determine the latest Common Crawl index.

Training crawler blocking Not found

No robots.txt found. Training crawlers can freely access your content.

TDMRep declaration Not found

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.

ai.txt policy Not found

No ai.txt file found. ai.txt lets you declare AI usage preferences for your content.

Web Bot Auth Not found

No Web Bot Auth signature key directory found. Bots cannot prove their identity to origins via signed HTTP requests.

Developer Tools

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

SCAN

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

FIX

/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

MCP Server AI Skills

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Detailed score breakdown per category
Prioritized improvement recommendations
Step-by-step implementation guide