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Scan history Scanned 2026-03-01 15:31 UTC
64/100 Comparing
49/100 Compare
56/100 Compare
57/100 Current
Changes since selected scan Not comparable because methodology information is unavailable

Result summary

Measured coverage

57/100

Methodology grade

C

Methodology legacy

29 checkpoints assessed

Find
4/5 passed
Read
11/17 passed
Act
1/7 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 JSON-LD present +7 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://nluug.nl",
  "logo": "https://nluug.nl/logo.png"
}
</script>
Sources
Failed High-value schema types +7 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
Failed Organization / WebSite schema +6 overall pts

No Organization or WebSite schema type found in JSON-LD.

Organization / WebSite schema
HIGH

Organization and WebSite schemas establish your brand identity in the knowledge graph. AI systems use these to attribute content, display rich results, and build entity relationships.

Add a JSON-LD block with @type "Organization" or "WebSite" including at least "name" and "url" properties.

JSON-LD html 
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://nluug.nl",
  "logo": "https://nluug.nl/logo.png",
  "sameAs": [
    "https://twitter.com/yourcompany",
    "https://linkedin.com/company/yourcompany"
  ]
}
</script>
Sources
Failed llms.txt +5 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
# nluug.nl

> nluug.nl — your site description here.

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

## Optional
- [Blog](https://nluug.nl/blog)
- [Changelog](https://nluug.nl/changelog)
Sources
Failed WebMCP Declarative API +4 overall pts

No WebMCP signals found.

WebMCP Declarative API
HIGH

WebMCP 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>
Sources
Failed A2A Agent Card +4 overall pts

No A2A Agent Card found at /.well-known/agent.json.

A2A Agent Card
HIGH

Google's Agent-to-Agent (A2A) protocol enables autonomous agent-to-agent communication. An Agent Card at /.well-known/agent.json advertises your agent's capabilities to other AI systems.

Create an A2A Agent Card at /.well-known/agent.json with required fields: name, description, url, capabilities.

.well-known/agent.json json 
{
  "name": "My Agent",
  "description": "An AI assistant for customer support",
  "url": "https://nluug.nl/agent",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false
  },
  "skills": [
    {"id": "support", "name": "Customer Support"}
  ]
}
Sources
Failed OpenAPI / API documentation +3 overall pts

No OpenAPI or Swagger documentation found.

OpenAPI / API documentation
HIGH

OpenAPI specifications let AI agents understand and call your API programmatically. AI coding assistants and agent frameworks use OpenAPI to generate correct API calls automatically.

Create an OpenAPI 3.x specification and serve it at /openapi.json or /.well-known/openapi to enable AI agents to discover and use your API.

openapi.json json 
{
  "openapi": "3.1.0",
  "info": {
    "title": "My API",
    "version": "1.0.0"
  },
  "paths": {
    "/api/search": {
      "get": {
        "summary": "Search items",
        "parameters": [
          {"name": "q", "in": "query", "schema": {"type": "string"}}
        ]
      }
    }
  }
}
Sources
Partial AI crawler directives +2 overall pts

No AI crawlers explicitly mentioned in robots.txt (implicit default allow applies).

AI crawler directives
MEDIUM

Major AI systems use dedicated crawlers (GPTBot, ClaudeBot, Amazonbot). Explicit directives signal whether you want your content included in AI training and search results.

Add a wildcard Allow: / or explicit AI user-agent directives to signal crawling intent.

robots.txt plain 
# Add to your /robots.txt — explicit Allow for AI crawlers
User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: Google-Extended
Allow: /

User-agent: Amazonbot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: PerplexityBot
Allow: /
Sources
Failed WebMCP manifest +2 overall pts

No WebMCP manifest found at /.well-known/webmcp or /.well-known/webmcp.json.

WebMCP manifest
HIGH

A WebMCP manifest at /.well-known/webmcp.json enables pre-navigation discovery — AI agents can learn what tools your site offers before even loading the page.

Create a WebMCP manifest at /.well-known/webmcp.json with your tool definitions to enable pre-navigation agent discovery. Discovery is an active area of discussion in the WebMCP spec. 

{
  "spec": "webmcp/0.1",
  "tools": [
    {
      "name": "search",
      "description": "Search products",
      "url": "/search",
      "method": "GET",
      "parameters": [
        {"name": "q", "type": "string", "description": "Search query"}
      ]
    }
  ]
}
Sources
Failed MCP Discovery +2 overall pts

No MCP discovery document found at /.well-known/mcp.json.

MCP Discovery
HIGH

The Model Context Protocol (MCP) by Anthropic is the standard for connecting AI assistants to external tools and data. A discovery document lets AI systems find and connect to your MCP server.

Create a MCP discovery document at /.well-known/mcp.json describing your MCP server capabilities. 

{
  "mcpServers": {
    "myService": {
      "url": "https://nluug.nl/mcp",
      "name": "My MCP Server",
      "description": "Provides tools for data access"
    }
  }
}
Sources
Failed agents.json +2 overall pts

No agents.json found at /.well-known/agents.json or /agents.json.

agents.json
HIGH

agents.json provides a directory of AI agent endpoints on your site. It helps agent orchestration systems discover and connect to your available AI services.

Create an agents.json file at /.well-known/agents.json with your agent endpoint definitions.

agents.json json 
{
  "agents": [
    {
      "name": "Support Agent",
      "description": "Handles customer inquiries",
      "url": "https://nluug.nl/agents/support",
      "protocol": "a2a"
    }
  ]
}
Sources
Failed Language attribute +1 overall pts

No lang attribute found on <html> tag.

Language attribute
HIGH

The lang attribute tells AI agents what language your content is in, enabling correct text processing, translation, and language-specific understanding.

Add a lang attribute to your <html> tag (e.g. <html lang="en">). This helps AI agents determine the content language. See developer.mozilla.org/en-US/docs/Web/HTML/Global_attributes/lang for the lang attribute documentation.

HTML html 
<html lang="en">
<!-- or for regional variants: -->
<html lang="en-US">
<html lang="nl-NL">
Sources
Partial Image alt text +0 overall pts

16/17 images have alt attributes (1 missing).

Image alt text
MEDIUM

AI agents cannot see images. Alt text is the only way for AI systems to understand image content, context, and relevance to the surrounding text.

Add descriptive alt text to all images. Use alt="" for purely decorative images. Missing alt attributes prevent AI agents from understanding image content. See w3.org/WAI/WCAG22/Understanding/non-text-content.html for WCAG guidelines on non-text content.

HTML html 
<!-- Descriptive alt text for meaningful images -->
<img src="chart.png" alt="Revenue growth chart showing 40% increase in Q4 2025">

<!-- Empty alt for purely decorative images -->
<img src="divider.svg" alt="">
Sources
Fix with AI Skills
$ /plugin marketplace add bartwaardenburg/isagentready-skills

Detailed results

Agent Protocols

Weight 15% · 6 failed checkpoints

0/100
AI Content Discovery

Weight 30% · 1 failed, 1 partial

78/100
Security & Trust

Weight 15% · All checkpoints passed

100/100
Content & Semantics

Weight 20% · 1 failed, 1 partial

94/100
AI Search Signals

Weight 20% · 3 failed checkpoints

0/100
Supplemental evidence AI visitor test and training exposure. The score does not change.
AI Training Exposure

Does not affect the readiness score

Supplemental

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

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

Next steps

DEVELOPER TOOLS

Scan and fix from your editor. Install the MCP server to scan, and AI skills to fix.

SCAN
$ claude mcp add isagentready-mcp -- npx -y isagentready-mcp
FIX
$ /plugin marketplace add bartwaardenburg/isagentready-skills
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