dixie.edu 60 C
🛡️ SEO 40 🤖 GEO 70 ⚡ Perf 62 🏗️ Arch 65

dixie.edu — Global SEODiff Score 60/100

dixie.edu
📊

At 77/100, the ACRI for dixie.edu indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other education sites (avg score: 57), dixie.edu performs above the benchmark, 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. Token bloat registers at 11.1× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

60
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (40) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 19, 2026 · 📋 API
Does your site score higher than dixie.edu?
Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)40 × 0.25 = 10.0
🤖 AI Readiness / GEO (40% weight)70 × 0.40 = 28.0
⚡ Performance (20% weight)62 × 0.20 = 12.4
🏗️ Architecture & Trust (15% weight)65 × 0.15 = 9.8
Weighted sum = 10.0 + 28.0 + 12.4 + 9.8
Global SEODiff Score = 60 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
69
Structure
avg 35
0
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 15%
Rank #148995
Aligned
Gap
AI (ACRI)
Top 14%
Score 77/100

dixie.edu has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why dixie.edu ranks here

Tech stackWordPress
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat11.1×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

40/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

20 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

145 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 5
  • ✓ Has <h2> headings — found 21
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Utah Tech University
  • ✗ og:description
  • ✓ 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

70/100 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 →
dixie.edu
53
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 69/100 — Good
Structured Elements 60 elements (60 lists, 0 rows, 0 headers)
Total Words425
Raw Density14.1%

🏷️ 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

55
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability55/100 — 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

9%
🗑️ 91%
Useful Content (8.4 KB)Bloat (85.4 KB)
Token Bloat Ratio11.1× — Normal

Multimodal Readiness

Visual Context72% Optimized for Vision
Image Alt Coverage18 / 25 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: 91.0% · SNR: 0.10 · Signal: 2161 / Noise: 21875 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 dixie.edu 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
BTSArts provides arts-integrated instruction to elementary students, increasing student performance across all subjects and fostering a more engaging learning environment.
Target Audience
Elementary school students, teachers, university staff, and administrators involved in arts education.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Unique integrated teaching model and sustained advocacy for arts education, resulting in long-term program stability and impact.
📊 Content Depth
6/10
⚡ Key Pain Points
• Lack of arts education resources in Utah schools
• Insufficient teacher training in arts education
• Limited legislative funding for school-based arts programs
Analyzed by SEODiff AI · 2026-03-08

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerMicrosoft-IIS/10.0
CDN
HTTP Status200
Load Time1693 ms
Raw HTML Size93.9 KB
Visible Text Size8.4 KB

Performance & Speed

62/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1693 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

569
DOM nodes
94 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache, must-revalidate, max-age=0, no-store, private
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 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

65/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://utahtech.edu/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

1
internal links
103
external links
Very few internal links — crawlers may miss important pages

🔒 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 53/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
53
Single-page score
-4
Consistent readability
Δ delta
Site-Wide ACRI
49
Avg across 10 pages · Range 36–67
Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
3261
Avg Bloat
71.2×
Page Type ACRI Token Bloat Words Status
https://dixie.edu/about
About BTSArts | Utah Tech University
about 67 17.7× 657
https://dixie.edu/faq
Dixie’s Got Talent FAQ’s | Utah Tech University
support 67 12.3× 886
https://dixie.edu/pricing
Utah Tech University
pricing 46 81.6× 232
https://dixie.edu/products
Utah Tech University
product 46 81.6× 232
https://dixie.edu/features
Utah Tech University
product 46 81.6× 232
https://dixie.edu/docs
Utah Tech University
docs 46 81.6× 232
https://dixie.edu/blog
Utah Tech University
blog 46 81.6× 232
https://dixie.edu/case-studies
Utah Tech University
social-proof 46 81.6× 232
https://dixie.edu/integrations
Utah Tech University
integrations 46 81.6× 232
https://dixie.edu/contact
Contact | Utah Tech University
support 36 110.9× 94
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/products/ 1 46 0% 81.6× High JS Bloat
/case-studies/ 1 46 0% 81.6× High JS Bloat
/integrations/ 1 46 0% 81.6× High JS Bloat
/contact/ 1 36 0% 110.9× High JS Bloat
/pricing/ 1 46 0% 81.6× High JS Bloat
/blog/ 1 46 0% 81.6× High JS Bloat
/about/ 1 67 0% 17.7× High JS Bloat
/faq/ 1 67 0% 12.3× High JS Bloat
/features/ 1 46 0% 81.6× High JS Bloat
/docs/ 1 46 0% 81.6× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
employees.utahtech.edu ×10
administrative.utahtech.edu ×10
utahtech.edu ×10
instagram.com ×10
utahtech.highq.com ×10
myut.utahtech.edu ×10
president.utahtech.edu ×10
about.utahtech.edu ×10
🔄 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/dixie.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 dixie.edu. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
dixie.edu (this site) 53 77 WordPress 11.1× 0
korsholm.fi 78 84 WordPress 7.3× 1 Compare →
lssu.edu 78 88 WordPress 6.9× 1 Compare →
usj.edu.mo 78 89 WordPress 6.8× 1 Compare →
cshl.edu 78 90 WordPress 6.3× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite dixie.edu 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 dixie.edu. 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": "Dixie",
  "url": "https://dixie.edu",
  "logo": "https://utahtech.edu/wp-content/themes/dixie-state-university/assets/media/favicons/apple-icon-57x57.png",
  "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": "Dixie",
  "url": "https://dixie.edu",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://dixie.edu/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 9% 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 Dixie?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Dixie does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Dixie work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Dixie."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
77
Projected Score
95
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 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
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