umd.edu 73 B
🛡️ SEO 58 🤖 GEO 75 ⚡ Perf 74 🏗️ Arch 93

umd.edu — Global SEODiff Score 73/100

umd.edu
📊

umd.edu currently sits at 53/100 on the ACRI scale, an average result that suggests several quick wins remain untapped. In the education sector, umd.edu underperforms relative to the average (57), indicating room for competitive improvement. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. With a 1.9× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Some AI crawlers are permitted while others are blocked — a mixed robots.txt policy that limits visibility in certain AI ecosystems.

73
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (58) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 30 snapshots
Feb 22 Mar 18
🔔 Recent AI Indexing Activity
🔄 Mar 12 Content change detected
📉 Mar 7 ACRI -1 (48→47)
📈 Mar 4 ACRI +1 (47→48)
Does your site score higher than umd.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)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)75 × 0.40 = 30.0
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 14.5 + 30.0 + 14.8 + 13.9
Global SEODiff Score = 73 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
60
Bot Access
avg 92
99
Rendering
avg 93
27
Structure
avg 35
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.2%
Rank #2460
+58 pts
Gap
AI (ACRI)
Top 58%
Score 53/100

umd.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 umd.edu ranks here

Tech stackCustom / Proprietary
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat1.9×

Fastest improvements

  • Allow GPTBot in robots.txt so AI crawlers can access your pages (see Crawl Access).
  • 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

51 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

156 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://umd.edu/
  • ✓ 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 — Our Research Changes Lives | University of Maryland
  • ✓ og:description — At UMD, brilliant scholars and scientists come together to spark new ideas, pursue important discoveries, drive innovation and tackle humanity’s grand…
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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

75/100 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, melbourneschool.com (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 →
umd.edu
47
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. melbourneschool.com 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)
Blocked
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Blocked
Googlebot
Allowed
💡GPTBot is blocked. To appear in ChatGPT citations, add Allow: / under User-agent: GPTBot in your robots.txt.

👻 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 27/100 — Low
Structured Elements 16 elements (16 lists, 0 rows, 0 headers)
Total Words758
Raw Density2.1%
💡Low structure score (27/100). Your content appears as a wall of text with few structured HTML elements. You have 16 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 Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.
💡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
Medium
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskMedium — 2 of 5 AI crawlers blocked

Token Bloat Research

52%
🗑️ 48%
Useful Content (49.0 KB)Bloat (42.7 KB)
Token Bloat Ratio1.9× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage15 / 15 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

78 Entropy
Good Token Bloat: Low
Noise Ratio: 46.6% · SNR: 1.15 · Signal: 12535 / Noise: 10925 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 umd.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
The University of Maryland’s traditions are a central part of the student experience, encompassing a rich history of unique customs,
Target Audience
Undergraduate students, prospective students, alumni, and general public interested in University of Maryland culture and history.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Strong alumni network and deeply ingrained traditions create a powerful sense of community and loyalty, making it difficult for competing institutions to replicate.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Landmark pages (e.g., ‘The M’, Ritchie Coliseum)Tradition pages (e.g., ‘Rubbing Testudo’s Nose’, ‘Flag Unfurling’)Event pages (e.g., ‘Signature Events’)Historical timeline
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for individual traditions – information is scattered across multiple pages.
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

AI-Readiness Score50/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time542 ms
Raw HTML Size91.6 KB
Visible Text Size49.0 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

542 ms
Acceptable — room for improvement

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

📦 Page Weight

514
DOM nodes
92 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://umd.edu/sitemaps-1-sitemap.xml
  • ✓ Googlebot allowed
  • ✗ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

98
internal links
9
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 47/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for umd.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/umd.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=umd.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 77 pages · Deep-10

Homepage ACRI
47
Single-page score
0
Consistent readability
Δ delta
Site-Wide ACRI
48
Avg across 77 pages · Range 0–85
Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
25026
Avg Bloat
63.1×
Page Type ACRI Token Bloat Words Status
https://umd.edu/about/history
Traditions & History | University of Maryland
pricing 85 6.5× 3515 💰 Pricing
https://umd.edu/people/darryll-pines
Darryll Pines | University of Maryland
pricing 75 13.2× 1113 💰 Pricing
https://umd.edu/weather
Inclement Weather | University of Maryland
other 75 10.9× 1527
https://umd.edu/privacy/european-union
European Union Residents | University of Maryland
legal 72 17.7× 840
https://umd.edu/faqs-heoaconsumer-information
FAQs (HEOA/Consumer Information) | University of Maryland
support 70 30.2× 599
https://umd.edu/about/mission
Mission and Values | University of Maryland
about 67 26.0× 576
https://umd.edu/about/landmarks
Landmarks | University of Maryland
about 67 26.5× 574
https://umd.edu/visit
Visit | University of Maryland
pricing 67 32.5× 586 💰 Pricing
https://umd.edu/academics/colleges-and-schools
University of Maryland
other 67 28.7× 818
https://umd.edu/art
Arts | University of Maryland
other 67 31.7× 617
https://umd.edu/privacy/information-security
Security & Retention of Information | University of Maryland
legal 67 20.0× 791
https://umd.edu/research
Research | University of Maryland
pricing 64 44.1× 503 💰 Pricing
https://umd.edu/about
About | University of Maryland
pricing 57 35.2× 493 💰 Pricing
https://umd.edu/about/athletics-and-events
Athletics Traditions | University of Maryland
about 57 33.6× 461
https://umd.edu/people/william-kirwan
William Kirwan | University of Maryland
other 57 42.5× 305
https://umd.edu/people/albert-f-woods
Albert Woods | University of Maryland
other 57 45.6× 283
https://umd.edu/people/wallace-loh
Wallace Loh | University of Maryland
other 57 43.5× 297
https://umd.edu/people/c-d-dan-mote-jr
C.D. “Dan” Mote, Jr. | University of Maryland
other 57 32.1× 409
https://umd.edu/academic-departments-and-programs
Academic Departments and Programs | University of Maryland
other 57 32.9× 455
https://umd.edu/convocation
Convocation | University of Maryland
other 57 28.8× 496
Showing 20 of 77 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
/people/ 34 48 0% 85.7× High JS Bloat
/about/ 12 59 0% 46.2× High JS Bloat
/privacy/ 6 58 0% 53.9× High JS Bloat
/academics/ 3 58 0% 41.2× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/admissions/ 1 54 0% 43.8× High JS Bloat
/aware/ 1 44 0% 125.2× High JS Bloat
/art/ 1 67 0% 31.7× High JS Bloat
/convocation/ 1 57 0% 28.8× High JS Bloat
/web-accessibility/ 1 44 0% 98.9× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/visit/ 1 67 0% 32.5× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 77 pages
provost.umd.edu ×69
today.umd.edu ×69
search.umd.edu ×69
admissions.umd.edu ×69
umterps.com ×69
testudo.umd.edu ×69
elms.umd.edu ×69
giving.umd.edu ×69
🔄 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/umd.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 umd.edu. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
umd.edu (this site) 47 53 Custom / Proprietary 1.9× 1
classic.bubt.edu.bd 72 76 Custom / Proprietary 1.7× 1 Compare →
admissions.miami.edu 72 76 Custom / Proprietary 1.6× 0 Compare →
kut.org 72 78 Custom / Proprietary 4.2× 1 Compare →
okbu.edu 72 79 Custom / Proprietary 3.1× 0 Compare →
xcp.org 72 79 Custom / Proprietary 3.7× 2 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite umd.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…

🎭

Bait & Switch Delta

A 15 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

57
Homepage ACRI
57
Inner Avg ACRI
0
ACRI Delta
20%
Homepage Ghost
33%
Inner Avg Ghost
8
Drift Score [?]
Worst Inner Pages
54 40% about https://umd.edu/about/facts
54 40% about https://umd.edu/about/songs
54 40% about https://umd.edu/about/traditions-of-the-past
🛡️

E-E-A-T Trust Signals

C 50/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
🔗

Citation Profile

87 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

430
Total Links
87
Unique Domains
28.7
Avg/Page
20%
Diversity
elms.umd.edu umdrightnow.umd.edu today.umd.edu provost.umd.edu admissions.umd.edu identity.umd.edu search.umd.edu alumni.umd.edu lib.umd.edu gradschool.umd.edu
🏘️ Outbound Neighborhood Trust Avg Trust: 0.0

AI trust scores for the domains umd.edu links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to umd.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": "Umd",
  "url": "https://umd.edu",
  "logo": "https://umd.edu/default/static/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": "Umd",
  "url": "https://umd.edu",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://umd.edu/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Allow GPTBot in robots.txt
High Impact ⏱ 2 min
GPTBot is blocked — your content cannot appear in ChatGPT citations. Add this to your robots.txt:
text
User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /
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 Umd?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Umd does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Umd work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Umd."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
53
Projected Score
74
Improvement
+21 pts
Allow GPTBot +8 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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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