wordfeudwoorden.nl

Item: wordfeudwoorden.nl
Rating: 50

Compare

Scan history

Scanned 2026-03-03 13:15 UTC

2026-08-29 16:01 UTC 56/100 Compare

2026-05-18 10:54 UTC 46/100 Compare

2026-03-03 13:15 UTC 50/100 Compare

2026-03-01 15:29 UTC 51/100 Compare

SCAN HISTORY Scanned 2026-03-03 13:15 UTC

2026-08-29 16:01 UTC 56/100 Compare

2026-05-18 10:54 UTC 46/100 Compare

2026-03-03 13:15 UTC 50/100 Compare

2026-03-01 15:29 UTC 51/100 Compare

Changes since selected scan Not comparable because methodology information is unavailable

Result summary

Readiness profiles

Methodology legacy

Measured coverage

50/100

Methodology grade

35 checkpoints assessed

Passed

Partial

Failed

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.

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.

JSON-LD html

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

llms.txt +4 overall pts

No valid llms.txt found at /llms.txt.

llms.txt

HIGH

llms.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 plain

# /llms.txt
# wordfeudwoorden.nl

> wordfeudwoorden.nl — your site description here.

## Docs
- [Getting Started](https://wordfeudwoorden.nl/docs/getting-started)
- [API Reference](https://wordfeudwoorden.nl/docs/api)

## Optional
- [Blog](https://wordfeudwoorden.nl/blog)
- [Changelog](https://wordfeudwoorden.nl/changelog)

Sources

Fix with AI Skills

$ /plugin marketplace add bartwaardenburg/isagentready-skills

Detailed results

Agent Protocols Weight 15% Needs attention

7 failed checkpoints

0/100

WebMCP Declarative API: Failed

WebMCP manifest: Failed

A2A Agent Card: Failed

MCP Discovery: Failed

OpenAPI / API documentation: Failed

agents.json: Failed

Interactive Surface Coverage: Failed

AI Content Discovery Weight 30% Needs attention

2 failed, 1 partial

70/100

robots.txt present: Passed

AI crawler directives: Partial

XML Sitemap: Passed

llms.txt: Failed

Meta robots / X-Robots-Tag: Passed

Content freshness signals: Failed

HTTP bot accessibility: Passed

Security & Trust Weight 15% Partial progress

1 partial checkpoint

88/100

HTTPS: Passed

Auto-submit Risk Assessment: Passed

HSTS header: Passed

Content-Security-Policy: Partial

X-Content-Type-Options: Passed

Frame protection: Passed

CORS configuration: Passed

Referrer-Policy: Passed

Content & Semantics Weight 20% Partial progress

3 partial checkpoints

76/100

Server-side rendered content: Passed

Heading hierarchy: Partial

Semantic HTML elements: Partial

Accessible landmarks & ARIA: Partial

Image alt text: Passed

Language attribute: Passed

Descriptive link texts: Passed

Question-based headings: 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 training crawlers are blocked in robots.txt. All known AI training bots can 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

ai.txt returned HTML instead of plain text (Content-Type: text/html; charset=UTF-8). The file should be served as text/plain.

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