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SCAN HISTORY
82/100 Compare
Score unavailable Compare
68/100 Compare
70/100 Compare
Changes since selected scan Not comparable because methodology information is unavailable

Result summary

Readiness profiles

Methodology 2026-08-29

Measured stable-core coverage

82/100

Methodology grade

A

37 core checkpoints assessed

28

Passed

4

Partial

5

Failed

12

Skipped

Strongest category

Security & Trust

Weakest category

AI Search Signals

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
HIGH

Certain schema types (Article, Product, FAQPage, etc.) trigger rich results in Google and Bing and give agents typed, unambiguous entities to extract instead of inferring from prose. Their effect on AI-search citations is indirect, via the search indexes that feed products like ChatGPT and Perplexity.

Add JSON-LD markup for content-appropriate types like Article, Product, SoftwareApplication, FAQPage, LocalBusiness, Service, Event, or VideoObject so agents and search engines can identify your content type and extract structured facts reliably.

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 Link response headers +4 overall pts

No Link response header found on the root page. Agents must parse HTML to discover related resources.

Link response headers
HIGH

Link response headers (RFC 8288) tell agents about machine-readable resources at request time. Cloudflare's isitagentready.com and other scanners explicitly look for `api-catalog`, `service-desc`, `service-doc`, and `sitemap` rels to enable agent discovery without parsing HTML.

Add an RFC 8288 Link response header advertising your OpenAPI document, API catalog, and sitemap so agents can discover them at request time.

Server config plain 
# Nginx
add_header Link '</.well-known/api-catalog>; rel="api-catalog", </openapi.json>; rel="service-desc", </sitemap.xml>; rel="sitemap"' always;

# Phoenix / Plug
plug :put_link_headers

defp put_link_headers(conn, _opts) do
  put_resp_header(
    conn,
    "link",
    "</.well-known/api-catalog>; rel=\"api-catalog\", " <>
      "</openapi.json>; rel=\"service-desc\", " <>
      "</sitemap.xml>; rel=\"sitemap\""
  )
end

# Test: curl -I https://triple.nl/ | grep -i '^link:'
Sources
Failed Author attribution +3 overall pts

No author attribution found. Agents and search engines cannot tell who stands behind this content or link it to a known author entity.

Author attribution
HIGH

Author attribution gives agents and search engines a clear, machine-readable signal of who stands behind the content and links it to a known entity. This supports trust and provenance (E-E-A-T) and lets systems attribute the content to its author.

Add author information using JSON-LD (preferred), <meta name="author">, or <a rel="author">. Clear authorship is a trust and provenance signal for agents and search engines.

JSON-LD html 
<!-- Option 1: JSON-LD author in Article (preferred) -->
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title",
  "author": {
    "@type": "Person",
    "name": "Jane Smith",
    "url": "https://triple.nl/team/jane-smith"
  }
}
</script>

<!-- Option 2: Meta tag -->
<meta name="author" content="Jane Smith">

<!-- Option 3: Linked author -->
<a rel="author" href="https://triple.nl/team/jane-smith">Jane Smith</a>
Sources
Fix with AI Skills
$ /plugin marketplace add bartwaardenburg/isagentready-skills

Detailed results

Agent Protocols Weight 15% Not assessed

No score-impacting checkpoints

5 bonus opportunities and 3 informational findings; do not affect the core score

Core score 0/100
AI Content Discovery Weight 30% Needs attention

1 failed, 1 partial score-impacting checkpoints

6 bonus opportunities; do not affect the core score

Core score 85/100
Security & Trust Weight 15% Ready

All score-impacting checkpoints passed

Core score 100/100
Content & Semantics Weight 20% Needs attention

2 failed, 3 partial score-impacting checkpoints

Core score 80/100
AI Search Signals Weight 20% Needs attention

2 failed score-impacting checkpoints

Core score 68/100

AI visitor test

We let an AI try common visitor tasks to show what works and where it gets stuck.

Experimental, does not affect the score

Can an AI understand this website?

Unavailable

This check is temporarily unavailable.

Can an AI find a useful action to take?

Unavailable

This check is temporarily unavailable.

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

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
FIX
/plugin marketplace add bartwaardenburg/isagentready-skills
MCP Server AI Skills
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