roseman.edu 74 B
🛡️ SEO 75 🤖 GEO 84 ⚡ Perf 39 🏗️ Arch 90

roseman.edu — Global SEODiff Score 74/100

roseman.edu
📊

At 79/100, the ACRI for roseman.edu indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the education vertical, this places roseman.edu above the industry average of 57 —, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. The 5.8× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. 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 (39) 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)75 × 0.25 = 18.8
🤖 AI Readiness / GEO (40% weight)84 × 0.40 = 33.6
⚡ Performance (20% weight)39 × 0.20 = 7.8
🏗️ Architecture & Trust (15% weight)90 × 0.15 = 13.5
Weighted sum = 18.8 + 33.6 + 7.8 + 13.5
Global SEODiff Score = 74 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
52
Structure
avg 35
44
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 27%
Rank #266876
-17 pts
Gap
AI (ACRI)
Top 9%
Score 79/100

roseman.edu ranks much higher on Google (Tranco Top 27%) than in AI search (Top 9%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why roseman.edu ranks here

Tech stackNext.js
Industryeducation
RenderingSSR
Schema coverage2 blocks
Token bloat5.8×

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

75/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

53 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

144 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 14
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Roseman University of Health Sciences
  • ✓ og:description — Roseman is training healthcare providers in nursing, pharmacy, dentistry, graduate studies, & soon medicine, at campuses in Nevada & Utah.
  • ✓ 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

84/100 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 →
roseman.edu
66
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 52/100 — Fair
Structured Elements 153 elements (153 lists, 0 rows, 0 headers)
Total Words1875
Raw Density8.2%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 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

69
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability69/100 — AI models can partially extract answers from this page
Crawl CostMedium (60/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

17%
🗑️ 83%
Useful Content (54.4 KB)Bloat (260.4 KB)
Token Bloat Ratio5.8× — Normal

Multimodal Readiness

Visual Context43% Optimized for Vision
Image Alt Coverage16 / 37 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 43% 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: 82.7% · SNR: 0.21 · Signal: 13921 / Noise: 66650 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

FrameworkNext.js
AI-Readiness Score70/100
Servernginx
CDN
HTTP Status200
Load Time1013 ms
Raw HTML Size314.7 KB
Visible Text Size54.4 KB

Performance & Speed

39/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1013 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

2189
DOM nodes
315 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=604800
  • ✗ 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

90/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

152
internal links
31
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 66/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
66
Single-page score
-18
Moderate hidden bloat
Δ delta
Site-Wide ACRI
49
Avg across 3 pages · Range 41–54
🔍
Hidden Bloat Detected

Homepage scores 66, but internal pages average only 49 — a -18-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
973
Avg Bloat
127.4×
Ext. Citations
14
Page Type ACRI Token Bloat Words Status
https://roseman.edu/about
About Us - Roseman University
pricing 54 106.8× 459 💰 Pricing
https://roseman.edu/faq
FAQs: Giving to Roseman University - Roseman University
pricing 51 69.5× 390 💰 Pricing
https://roseman.edu/contact
Contact Philanthropy & Alumni Relations - Roseman University
support 41 205.8× 124
🔗
Outbound External Citations
14 unique external domains cited across 3 pages
youtube.com ×3
facebook.com ×3
linkedin.com ×3
twitter.com ×3
instagram.com ×3
app.blackbaud.com ×2
rosemanmedicalgroup.com ×1
wd108.myworkday.com ×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/roseman.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 roseman.edu. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
roseman.edu (this site) 66 79 Next.js 5.8× 2
lbc.edu 67 76 Next.js 6.1× 2 Compare →
sfc.edu 66 80 Next.js 4.8× 2 Compare →
bpas.com 67 79 Next.js 6.5× 2 Compare →
wallstreetprep.com 67 78 Next.js 4.8× 2 Compare →
my-best.com 63 78 Next.js 5.4× 2 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

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

Projected Impact

ROI EST.

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

Current Score
79
Projected Score
85
Improvement
+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