usj.edu 74 B
🛡️ SEO 71 🤖 GEO 78 ⚡ Perf 65 🏗️ Arch 78

usj.edu — Global SEODiff Score 74/100

usj.edu
📊

With an ACRI of 85/100, usj.edu stands out as one of the highest-performing sites in AI search visibility, outranking 98% of its peers. Within the education vertical, this places usj.edu above the industry average of 57 —, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. Token bloat registers at 14.8× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

74
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (65) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than usj.edu?
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)71 × 0.25 = 17.8
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)78 × 0.15 = 11.7
Weighted sum = 17.8 + 31.2 + 13.0 + 11.7
Global SEODiff Score = 74 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
77
Structure
avg 35
42
Schema
avg 10
85
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 34%
Rank #337459
-31 pts
Gap
AI (ACRI)
Top 2%
Score 85/100

usj.edu ranks much higher on Google (Tranco Top 34%) than in AI search (Top 2%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why usj.edu ranks here

Tech stackWordPress
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat14.8×

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

71/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

40 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

230 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Homepage | University of Saint Joseph CT
  • ✓ og:description — Steeped in nearly a century of tradition and excellence, the University of Saint Joseph blends professional education with the sciences and humanities to prepare students for lives and careers that meet social and workforce needs.
  • ✓ 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

78/100 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 education sector, educationdirectory.com.au (ACRI: 86) 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 →
usj.edu
71
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. educationdirectory.com.au has schema coverage of 4 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 77/100 — Good
Structured Elements 221 elements (221 lists, 0 rows, 0 headers)
Total Words1229
Raw Density18.0%

🏷️ Schema Health Docs

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

Schema Coverage Map

3/7 schema types detected
✅ Organization
❌ Product/Service
✅ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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

65
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability65/100 — 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

6%
🗑️ 94%
Useful Content (8.8 KB)Bloat (121.9 KB)
Token Bloat Ratio14.8× — Normal

Multimodal Readiness

Visual Context73% Optimized for Vision
Image Alt Coverage16 / 22 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 93.3% · SNR: 0.07 · Signal: 2253 / Noise: 31196 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
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time716 ms
Raw HTML Size130.7 KB
Visible Text Size8.8 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

716 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

877
DOM nodes
131 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✓ 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

78/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.usj.edu/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

200
internal links
39
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 71/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for usj.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/usj.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=usj.edu" 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 2 pages · Deep-10

Homepage ACRI
71
Single-page score
-19
Moderate hidden bloat
Δ delta
Site-Wide ACRI
52
Avg across 2 pages · Range 47–57
🔍
Hidden Bloat Detected

Homepage scores 71, but internal pages average only 52 — a -19-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
2%
Topical Drift
TF-IDF cosine similarity
Total Words
511
Avg Bloat
168.4×
Ext. Citations
14
Page Type ACRI Token Bloat Words Status
https://usj.edu/about
About the University of Saint Joseph | West Hartford, CT
pricing 57 49.2× 455 💰 Pricing
https://usj.edu/contact
Contact | University of Saint Joseph CT
pricing 47 287.5× 56 💰 Pricing
🔗
Outbound External Citations
14 unique external domains cited across 2 pages
usjbluejays.com ×2
shop-usjdining.sodexomyway.com ×2
catalog.usj.edu ×2
apply.usj.edu ×2
graduateprogram.org ×2
youtube.com ×2
websolutions.com ×2
instagram.com ×2
🔄 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/usj.edu

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

🔗 Similar education Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
usj.edu (this site) 71 85 WordPress 14.8× 1
educationhost.co.uk 71 86 WordPress 15.1× 1 Compare →
umj.ac.id 72 87 WordPress 14.6× 1 Compare →
immaculata.edu 70 84 WordPress 14.6× 1 Compare →
oakviewgroup.com 72 88 WordPress 15.1× 1 Compare →
dinecollege.edu 71 87 WordPress 14.0× 1 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 6% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
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 Usj?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Usj does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Usj work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Usj."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for usj.edu:

Current Score
85
Projected Score
93
Improvement
+8 pts
Reduce token bloat +5 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