dublincore.org 61 C
🛡️ SEO 32 🤖 GEO 74 ⚡ Perf 74 🏗️ Arch 57

dublincore.org — Global SEODiff Score 61/100

dublincore.org
📊

At 70/100, the ACRI for dublincore.org indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the developer vertical, this places dublincore.org above the industry average of 57 —, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. With a 3.9× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (32) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 19, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 19
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than dublincore.org?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)32 × 0.25 = 8.0
🤖 AI Readiness / GEO (40% weight)74 × 0.40 = 29.6
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)57 × 0.15 = 8.5
Weighted sum = 8.0 + 29.6 + 14.8 + 8.5
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
28
Structure
avg 35
0
Schema
avg 9
90
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #60274
+27 pts
Gap
AI (ACRI)
Top 33%
Score 70/100

dublincore.org punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →

Why dublincore.org ranks here

Tech stackHugo
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat3.9×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • Create an llms.txt file so AI crawlers can discover your content structure without heavy crawling. Generate llms.txt →
  • Run a full entropy audit to find which DOM regions waste the most tokens. Run Entropy Audit →
🧪

JavaScript Rendering Check

We check what AI crawlers miss when they skip JavaScript execution.

Running headless browser to simulate AI extraction…
🛡️

Traditional SEO

32/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

10 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 3
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Home
  • ✓ og:description — The Dublin Core Metadata Initiative (DCMI) is an open forum engaged in metadata innovation and support the development of interoperable online metadata standards that support a broad range of purposes and business models. DCMI's activities include consensus-driven working groups, global conferences and workshops, standards liaison, and educational efforts to promote widespread acceptance of metadata standards and practices.
  • ✓ og:image — preview
  • ✓ twitter:card — summary_large_image
📐 How the SEO Pillar score is calculated

SEO Pillar = Title (20 pts) + Meta Desc (20 pts) + Heading Hierarchy (20 pts) + Indexability (20 pts) + Social/OG (20 pts)

Each sub-score is derived from the checks above. Canonical tag, lang attribute, og:image, and a single H1 are the highest-impact items.

🤖

AI Readiness / GEO

74/100 40 % of Global Score 🟢 High Confidence

This pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.

🔗

Citation Alternatives

Research
💡
Insight: In the developer sector, hikkoshizamurai.jp (ACRI: 88) currently has stronger AI extractability. AI models tend to prefer sources with higher semantic structure and schema coverage. Domains with ACRI < 40 see 3.5× more hallucinations. Read the research →
dublincore.org
45
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 blocks and uses Custom / Proprietary. Improve your score by implementing the remediation patches below.
📊 Side-by-Side Comparison →
🚨

Hallucination Risk

Research

Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed

👻 Rendering (Ghost Ratio) Docs

Ghost Ratio 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 28/100 — Low
Structured Elements 24 elements (24 lists, 0 rows, 0 headers)
Total Words1008
Raw Density2.4%
💡Low structure score (28/100). Your content appears as a wall of text with few structured HTML elements. You have 24 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 schema types detected
❌ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
❌ WebSite
💡Organization schema missing. AI models cannot identify your brand entity. Without it, your brand won't appear in Knowledge Panels or be associated with your content.
💡Product / Service schema missing. AI models don't know this is a SaaS product. Add Product or SoftwareApplication schema so AI understands what you offer and can surface pricing/features.
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

53
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

25%
🗑️ 75%
Useful Content (23.4 KB)Bloat (67.7 KB)
Token Bloat Ratio3.9× — Lean

Multimodal Readiness

Visual Context25% Optimized for Vision
Image Alt Coverage7 / 28 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 25% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

27 Entropy
Poor Token Bloat: High
Noise Ratio: 74.3% · SNR: 0.35 · Signal: 5987 / Noise: 17326 tokens

🔬 AI-Crawler Simulation

See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.

🌐
This is what humans see — styled, branded, visual.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖

AI Answer Preview

NEW

See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.

Simulating AI extraction…
🧠

The LLM Interpretation

AI-VERIFIED

SEODiff AI analyzed the extracted content of dublincore.org and produced this structured business intelligence. Fields marked SEMANTIC VOID indicate information the AI could not find — a critical gap in your site’s machine-readability.

Core Offering
The LRMI provides a metadata initiative and registry to improve the discoverability of educational resources online, enabling educators to efficiently
Target Audience
Educators, content providers, librarians, instructional designers, and educational publishers.
Pricing Model
⚠ SEMANTIC VOID
🔗 Integration Partners
Schema.orgGitHubTwitterYouTube
🏆 Competitive Moat
The LRMI’s standardized metadata tagging and growing industry awareness create a significant barrier to entry, fostering a network effect and driving adoption.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pagesSchema.org integration
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
• Time consuming online search for learning resources
• Irrelevant search results
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkHugo
AI-Readiness Score90/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time545 ms
Raw HTML Size91.1 KB
Visible Text Size23.4 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

545 ms
Acceptable — room for improvement

Google considers <200 ms "good". AI crawlers may have even shorter timeouts.

📦 Page Weight

616
DOM nodes
91 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

0
tracker scripts
0
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
📐 How the Performance Pillar score is calculated

Perf Pillar = TTFB (35 pts) + Page Weight (25 pts) + Cache/CDN (20 pts) + Tracker Tax (20 pts)

TTFB <200 ms = full marks. DOM >3000 or payload >300 KB incurs heavy penalties. Tracker scripts beyond 5 reduce score.

🏗️

Architecture & Trust

57/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

113
internal links
13
external links
Good internal linking — helps crawlers discover content

🔒 Security & Trust

  • ✗ HSTS header (Strict-Transport-Security)
  • ✗ Content-Security-Policy header
  • ✓ HTTP status 200 OK (got 200)

♿ Accessibility Signals

  • ✓ HTML lang attribute → en
  • ✓ Meta viewport for mobile
  • ✓ Single H1 for screen readers
📐 How the Architecture Pillar score is calculated

Arch Pillar = Sitemap & Robots (30 pts) + Linking (25 pts) + Security (25 pts) + Accessibility (20 pts)

Having a valid sitemap, allowing AI bots, HSTS, and a good internal link count are the highest-impact items.

🏅 AI-Verified Trust Badge

Your site scores 45/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for dublincore.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/dublincore.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=dublincore.org" alt="AI-Verified by SEODiff" width="280" height="52"></a>

💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.

� Deep Crawl Analysis 68 pages · Deep-10

Homepage ACRI
45
Single-page score
0
Consistent readability
Δ delta
Site-Wide ACRI
45
Avg across 68 pages · Range 0–77
Topical Cohesion
2%
Topical Drift
TF-IDF cosine similarity
Total Words
41369
Avg Bloat
58.8×
RAG Fractures [?]
1
⚠️
1 RAG-Chunking Fracture Detected

Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.dublincore.org/blog/2011/application_profile/
DCMI: Dublin Core™ Application Profiles at eleven years (2011)
blog 77 9.0× 1965
https://www.dublincore.org/resources/userguide/creating_metadata/
DCMI: Creating Metadata
pricing 77 5.9× 5996 💰 Pricing
https://www.dublincore.org/resources/userguide/publishing_metadata/
DCMI: Publishing Metadata
pricing 77 6.8× 4244 💰 Pricing
https://www.dublincore.org/about/lrmi/media_reports/
DCMI: LRMI Media Reports (2011-2013)
pricing 77 6.0× 3114 💰 Pricing
https://www.dublincore.org/resources/metadata-basics/
DCMI: Metadata Basics
blog 77 9.9× 1524
https://www.dublincore.org/about/copyright/
DCMI: DCMI Intellectual Property Notice and Legal Disclaimers
about 77 8.2× 1909
https://www.dublincore.org/about/history/lrmi/
DCMI: LRMI History
pricing 77 5.4× 3412 💰 Pricing
https://www.dublincore.org/blog/2011/dcmi_abstract_model/
DCMI: Reflections on the DCMI Abstract Model (2011)
blog 67 10.7× 1625
https://www.dublincore.org/resources/glossary/
DCMI: Glossary
blog 67 10.5× 1775
https://dublincore.org/about
DCMI: About DCMI
about 67 19.6× 698
https://www.dublincore.org/about/bylaws/
DCMI: DCMI By-laws
about 67 16.0× 884
https://www.dublincore.org/about/lrmi/
DCMI: About LRMI™
about 67 19.2× 721
https://www.dublincore.org/about/
DCMI: About DCMI
about 67 19.6× 698
https://www.dublincore.org/about/lrmi/transfer_announcement/
DCMI: Transfer Announcement
pricing 67 12.0× 1237 💰 Pricing
https://www.dublincore.org/blog/2021/metadata_developments_in_china/
DCMI: Metadata Developments in China
blog 62 21.9× 713
https://www.dublincore.org/specifications/lrmi/resources/one-page/
DCMI: LRMI in one page
blog 62 23.6× 584
https://www.dublincore.org/resources/lrmi/reports/
DCMI: LRMI Reports
blog 62 26.0× 538
https://www.dublincore.org/resources/lrmi/implementations/
DCMI: LRMI Implementations
pricing 62 23.9× 580 💰 Pricing
https://www.dublincore.org/resources/lrmi/presentations/
DCMI: LRMI Presentations
blog 62 21.5× 698
https://www.dublincore.org/resources/translations/
DCMI: Dublin Core™ Metadata Initiative Document Translations
blog 62 27.1× 587
Showing 20 of 68 pages. Unlock full subpage table →
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/resources/ 33 47 0% 78.2× High JS Bloat
/blog/ 12 52 0% 60.1× High JS Bloat
/about/ 10 65 0% 36.3× High JS Bloat
/specifications/ 2 50 0% 50.8× High JS Bloat
/groups/ 2 54 0% 45.9× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/conferences/ 1 39 0% 141.6× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 68 pages
roadmap.dublincore.org ×60
dcpapers.dublincore.org ×60
cloudflare.com ×60
education.dublincore.org ×60
bsky.app ×60
github.com ×60
youtube.com ×60
x.com ×60
🔄 Re-Crawl & Update 📡 Track this Domain

Scores update automatically each month. Create a free account for on-demand re-crawls (3/month free).

🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/dublincore.org

Get your free API key — 100 requests/month included.

🔗 Similar developer Sites

Domains with a similar tech stack, industry, and AI readiness profile to dublincore.org. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
dublincore.org (this site) 45 70 Hugo 3.9× 0
kinetikadrenalink.com 70 81 Shopify 5.5× 0 Compare →
docs.mendix.com 70 80 Express 5.5× 0 Compare →
aboutamazon.eu 70 76 Express 3.8× 1 Compare →
iconics.com 70 76 Custom / Proprietary 3.6× 1 Compare →
python.org 70 75 Express 2.9× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite dublincore.org when users ask about topics in this domain's niche? We run entity queries through our 188k-page search index and measure citation probability.

Analyzing citation landscape…

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to dublincore.org. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add Organization JSON-LD
High Impact ⏱ 5 min
AI models cannot identify your brand entity without Organization schema. This is the #1 fix for AI visibility.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Dublincore",
  "url": "https://dublincore.org",
  "logo": "https://dublincore.org/images/favicons/favicon.svg",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Dublincore",
  "url": "https://dublincore.org",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://dublincore.org/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Add FAQ Schema
Medium Impact ⏱ 10 min
FAQ schema lets AI models directly extract Q&A pairs. This is the easiest way to get featured in AI responses.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Dublincore?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Dublincore does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Dublincore work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Dublincore."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for dublincore.org:

Current Score
70
Projected Score
83
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Add FAQ schema +3 pts

*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.

📋 Data Export

Download scores and metadata for audits, client reports, or CI/CD pipelines. Exports contain computed metrics only (no copyrighted content).

All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).

Is this your company?

Monitor your AI visibility score weekly and get alerted when changes happen.

Start Free →

🧭 Self-Diffing (Private Layer)

For owned domains, combine this world snapshot with private drift + regression history.
Template Drift
Track in My Site
Drift → Traffic Impact
In development coming soon
Regression Incidents
Track in My Site
Internal Linking
Deep Audit graph
Semantic Structure
GEO view in Deep Audit
Content Quality
Thin/duplicate tracking

🕒 History

Score over timeAvailable in My Site history
Drift eventsTemplate timeline + incidents
Drift → Revenue AttributionComing soon
Schema/rendering/extractability changesTracked per scan in project history
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
Free Deep Audit → GSC Error Guide →