quantumconsortium.org 68 C
🛡️ SEO 58 🤖 GEO 81 ⚡ Perf 40 🏗️ Arch 86

quantumconsortium.org — Global SEODiff Score 68/100

quantumconsortium.org
📊

quantumconsortium.org achieves a 75/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. A 8.2× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

68
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (40) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 25, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)40 × 0.20 = 8.0
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 14.5 + 32.4 + 8.0 + 12.9
Global SEODiff Score = 68 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
55
Structure
avg 35
2
Schema
avg 10
85
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 36%
Rank #356006
-17 pts
Gap
AI (ACRI)
Top 18%
Score 75/100

quantumconsortium.org ranks much higher on Google (Tranco Top 36%) than in AI search (Top 18%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why quantumconsortium.org ranks here

Tech stackWordPress
Industry
RenderingSSR
Schema coverage1 blocks
Token bloat8.2×

Fastest improvements

  • Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
  • 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

58/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

38 chars
Good length

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 5
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://quantumconsortium.org/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Home | QED-C
  • ✗ og:description
  • ✗ og:image
  • ✓ 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

81/100 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.

🚨

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 55/100 — Fair
Structured Elements 64 elements (64 lists, 0 rows, 0 headers)
Total Words697
Raw Density9.2%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

54
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability54/100 — 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

12%
🗑️ 88%
Useful Content (12.0 KB)Bloat (86.5 KB)
Token Bloat Ratio8.2× — Normal

Multimodal Readiness

Visual Context18% Optimized for Vision
Image Alt Coverage2 / 11 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 18% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 87.8% · SNR: 0.14 · Signal: 3072 / Noise: 22152 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…

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time2821 ms
Raw HTML Size98.5 KB
Visible Text Size12.0 KB

Performance & Speed

40/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2821 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

813
DOM nodes
98 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
js.hs-scripts.com
📐 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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://quantumconsortium.org/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

55
internal links
8
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-US
  • ✓ 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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for quantumconsortium.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/quantumconsortium.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=quantumconsortium.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 3 pages · Deep-10

Homepage ACRI
58
Single-page score
-1
Consistent readability
Δ delta
Site-Wide ACRI
57
Avg across 3 pages · Range 54–64
Topical Cohesion
3%
Topical Drift
TF-IDF cosine similarity
Total Words
1085
Avg Bloat
55.2×
Ext. Citations
8
Page Type ACRI Token Bloat Words Status
https://quantumconsortium.org/about
QED-C | About QED-C | QED-C
about 64 40.0× 522
https://quantumconsortium.org/blog
QED-C | Qubits & Pieces Blog | QED-C
blog 54 60.8× 302
https://quantumconsortium.org/contact
QED-C | Contact Us | QED-C
support 54 64.6× 261
🔗
Outbound External Citations
8 unique external domains cited across 3 pages
github.com ×3
youtube.com ×3
qedc.podbean.com ×3
linkedin.com ×3
8441224.hs-sites.com ×3
cookiedatabase.org ×3
sri.com ×3
congress.gov ×1
🔄 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/quantumconsortium.org

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
quantumconsortium.org (this site) 58 75 WordPress 8.2× 1
cordeledispatch.com 58 77 WordPress 8.2× 1 Compare →
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🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to quantumconsortium.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": "Quantumconsortium",
  "url": "https://quantumconsortium.org",
  "logo": "https://quantumconsortium.org/wp-content/uploads/2026/01/cropped-favicon-32x32.png",
  "sameAs": []
}
</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 Quantumconsortium?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Quantumconsortium does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Quantumconsortium work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Quantumconsortium."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
75
Projected Score
87
Improvement
+12 pts
Add Organization schema +6 pts
Reduce token bloat +3 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).

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🧭 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