loyola.edu 73 B
🛡️ SEO 41 🤖 GEO 83 ⚡ Perf 74 🏗️ Arch 100

loyola.edu — Global SEODiff Score 73/100

loyola.edu
📊

loyola.edu shows strong AI visibility with an ACRI of 73/100, outperforming 76% of indexed domains. Compared to other education sites (avg score: 57), loyola.edu performs above the benchmark, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The token bloat ratio sits at a lean 3.0×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

73
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (41) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 2, 2026 · 📋 API
Does your site score higher than loyola.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)41 × 0.25 = 10.2
🤖 AI Readiness / GEO (40% weight)83 × 0.40 = 33.2
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 10.2 + 33.2 + 14.8 + 15.0
Global SEODiff Score = 73 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
64
Structure
avg 36
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #67146
+18 pts
Gap
AI (ACRI)
Top 24%
Score 73/100

loyola.edu 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 loyola.edu ranks here

Tech stackCustom / Proprietary
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat3.0×

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

41/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

26 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

180 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 12
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Loyola University Maryland
  • ✓ og:description — A comprehensive Jesuit university nationally-recognized for its academics, athletics & spiritual education, founded in 1852. Located on the beautiful Evergreen Campus in Baltimore.
  • ✓ 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

83/100 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 →
loyola.edu
63
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 64/100 — Good
Structured Elements 175 elements (175 lists, 0 rows, 0 headers)
Total Words1446
Raw Density12.1%

🏷️ 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

64
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability64/100 — 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

33%
🗑️ 67%
Useful Content (24.7 KB)Bloat (48.9 KB)
Token Bloat Ratio3.0× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage11 / 11 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

50 Entropy
Fair Token Bloat: Medium
Noise Ratio: 66.4% · SNR: 0.51 · Signal: 6334 / Noise: 12516 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of loyola.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
Loyola University Maryland provides a comprehensive Jesuit, Catholic university experience focused on holistic development and service.
Target Audience
Students, alumni, prospective students, faculty, staff, and community members.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Unique Jesuit educational model emphasizing service, justice, and holistic development.
📊 Content Depth
3/10
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-03 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Serverdirector
CDN
HTTP Status200
Load Time544 ms
Raw HTML Size73.6 KB
Visible Text Size24.7 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

544 ms
Acceptable — room for improvement

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

📦 Page Weight

739
DOM nodes
74 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

184
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
  • ✓ 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 63/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for loyola.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/loyola.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=loyola.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 43 pages · Deep-10

Homepage ACRI
63
Single-page score
+3
Consistent readability
Δ delta
Site-Wide ACRI
66
Avg across 43 pages · Range 39–85
Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
24356
Avg Bloat
26.3×
Page Type ACRI Token Bloat Words Status
https://www.loyola.edu/academics/data-science/blog/2018/why-ethics-are-important-in-data-science.html
Why Ethics are Important in Data Science | Data Science | Loyola University Maryland
pricing 85 9.8× 1048 💰 Pricing
https://www.loyola.edu/academics/data-science/blog/2020/success-event.html
Successful Data Science: Teams, Tools, Techniques - Networking and Panel Event | Data Science | Loyola University Maryland
pricing 85 9.0× 1271 💰 Pricing
https://www.loyola.edu/school-education/blog/2018/faculty-spotlight-mark-lewis.html
Faculty Spotlight - Mark Lewis | School of Education | Loyola University Maryland
blog 85 9.8× 1193
https://www.loyola.edu/academics/data-science/blog/2018/how-data-science-is-used-to-target-the-right-audiences.html
How Data Science is Used to Target the Right Audiences | Data Science | Loyola University Maryland
pricing 85 7.7× 1413 💰 Pricing
https://www.loyola.edu/academics/data-science/blog/
News & Highlights | Data Science | Loyola University Maryland
pricing 80 14.7× 654 💰 Pricing
https://www.loyola.edu/school-education/blog/
News & Highlights | School of Education | Loyola University Maryland
blog 80 17.1× 721
https://www.loyola.edu/school-education/blog/2018/
2018 | School of Education | Loyola University Maryland
blog 75 20.4× 564
https://www.loyola.edu/academics/data-science/blog/2018/why-python-and-why-you-should-care.html
What is Python and Why Should You Care? | Data Science | Loyola University Maryland
pricing 75 11.6× 871 💰 Pricing
https://www.loyola.edu/school-education/blog/2017/CACREP-accreditation-explained.html
CACREP Accreditation Explained | School of Education | Loyola University Maryland
blog 75 15.4× 702
https://www.loyola.edu/academics/data-science/blog/2020/careers-in-data-science.html
Loyola’s Data Science Program Drives Careers in Artificial Intelligence | Data Science | Loyola University Maryland
pricing 75 10.4× 993 💰 Pricing
https://www.loyola.edu/school-education/blog/2018/mindfulness-for-school-counselors.html
Mindfulness for School Counselors | School of Education | Loyola University Maryland
pricing 75 12.2× 958 💰 Pricing
https://www.loyola.edu/school-education/blog/2018/master-of-arts-in-teaching-vs-master-of-education.html
Master of Arts in Teaching vs. Master of Education | School of Education | Loyola University Maryland
blog 75 17.2× 615
https://www.loyola.edu/academics/data-science/blog/2018/what-is-data-science.html
What is Data Science? | Data Science | Loyola University Maryland
pricing 75 15.4× 631 💰 Pricing
https://www.loyola.edu/school-education/blog/2018/social-media-an-asset-in-the-classroom.html
Social Media: An Asset in the Classroom | School of Education | Loyola University Maryland
blog 75 16.3× 663
https://www.loyola.edu/school-education/blog/2017/how-to-become-a-school-counselor.html
How to Become a School Counselor | School of Education | Loyola University Maryland
blog 75 17.8× 595
https://www.loyola.edu/school-education/blog/2018/what-is-curriculum-and-instruction-for-social-justice.html
What is curriculum and instruction for social justice? | School of Education | Loyola University Maryland
blog 75 13.5× 818
https://www.loyola.edu/academics/data-science/blog/2022/data-science-panel-event.html
Data Science in Everyday Life - Networking and Panel Event | Data Science | Loyola University Maryland
pricing 75 15.2× 638 💰 Pricing
https://www.loyola.edu/school-education/blog/2018/why-i-chose-school-counseling.html
Why I Became a School Counselor | School of Education | Loyola University Maryland
blog 75 14.0× 798
https://www.loyola.edu/school-education/blog/2017/how-to-become-a-teacher.html
How to Become a Teacher | School of Education | Loyola University Maryland
blog 75 18.5× 568
https://www.loyola.edu/school-education/blog/2019/carla-fulbright-scholarship.html
Carla Blackwell, M.Ed., receives 2019 Fulbright Scholarship | School of Education | Loyola University Maryland
blog 75 16.0× 669
Showing 20 of 43 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
/school-education/ 22 70 0% 24.0× High JS Bloat
/academics/ 19 64 0% 28.8× High JS Bloat
/about/ 1 52 0% 20.9× High JS Bloat
/contact/ 1 49 0% 33.3× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 43 pages
aspire.loyola.edu ×43
linkedin.com ×43
loyolagreyhounds.com ×43
instagram.com ×43
facebook.com ×43
a.cms.omniupdate.com ×43
today.loyola.edu ×43
loyola.bncollege.com ×43
🔄 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/loyola.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 loyola.edu. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
loyola.edu (this site) 63 73 Custom / Proprietary 3.0× 0
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📊 Semantic Share of Voice

How often would an AI cite loyola.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 loyola.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": "Loyola",
  "url": "https://loyola.edu",
  "logo": "https://loyola.edu/_resources/images/favicon.ico",
  "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": "Loyola",
  "url": "https://loyola.edu",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://loyola.edu/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 Loyola?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Loyola does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Loyola work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Loyola."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
73
Projected Score
86
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).

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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