stevens.edu 75 B
🛡️ SEO 74 🤖 GEO 77 ⚡ Perf 59 🏗️ Arch 91

stevens.edu — Global SEODiff Score 75/100

stevens.edu
📊

stevens.edu achieves a 82/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. In the education sector, stevens.edu outperforms the average (57), 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 14.7× — 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.

75
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (59) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 28 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 11 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)74 × 0.25 = 18.5
🤖 AI Readiness / GEO (40% weight)77 × 0.40 = 30.8
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)91 × 0.15 = 13.7
Weighted sum = 18.5 + 30.8 + 11.8 + 13.7
Global SEODiff Score = 75 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
71
Structure
avg 35
42
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #48119
Aligned
Gap
AI (ACRI)
Top 4%
Score 82/100

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

Why stevens.edu ranks here

Tech stackNext.js
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat14.7×

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

74/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

31 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

171 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.stevens.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 — Stevens Institute of Technology
  • ✓ og:description — Stevens Institute of Technology is a top private research university in Hoboken, New Jersey, shaping the future through innovation, STEM education, and impactful research.
  • ✗ og:image
  • ✓ 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

77/100 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 →
stevens.edu
69
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 71/100 — Good
Structured Elements 161 elements (161 lists, 0 rows, 0 headers)
Total Words1078
Raw Density14.9%

🏷️ 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

63
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability63/100 — 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 (13.5 KB)Bloat (184.9 KB)
Token Bloat Ratio14.7× — Normal

Multimodal Readiness

Visual Context90% Optimized for Vision
Image Alt Coverage9 / 10 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: 93.2% · SNR: 0.07 · Signal: 3450 / Noise: 47337 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 stevens.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 Department of Chemical Engineering and Materials Science at Stevens Institute of Technology educates engineers and scientists specializing in chemical
Target Audience
Undergraduate chemical engineering students, graduate students in chemical engineering and materials science, researchers, faculty, and Stevens Institute of Technology staff.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Unique dual engineering program fostering interdisciplinary research and collaborative faculty expertise between chemical engineering and materials science.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Intranet link to Stevens HubAdvisory Board Member Profiles (Prof. Helen M. Chan, Dr. Christopher L. Coccio, Dr. Suzanne M. D’Addio)Links to research resources and documents
⚡ Key Pain Points
• Limited information on intranet resources
• Lack of structured FAQ schema
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time808 ms
Raw HTML Size198.4 KB
Visible Text Size13.5 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

808 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1002
DOM nodes
198 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate
  • ✓ CDN cache status → MISS
  • ✓ 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

91/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

154
internal links
14
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 69/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for stevens.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/stevens.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=stevens.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 82 pages · Deep-10

Homepage ACRI
69
Single-page score
-26
Severe hidden bloat
Δ delta
Site-Wide ACRI
44
Avg across 82 pages · Range 0–72
🔍
Hidden Bloat Detected

Homepage scores 69, but internal pages average only 44 — a -26-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
15%
Topical Drift
TF-IDF cosine similarity
Total Words
53022
Avg Bloat
106.3×
Page Type ACRI Token Bloat Words Status
https://www.stevens.edu/indicator/fall-2025/the-unconventional-path
The Unconventional Path | Stevens Institute of Technology
pricing 72 15.4× 2224 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/chemistry-chemical-biology/about
Chemistry and Chemical Biology Department - About | Stevens Institute of Technology
pricing 64 13.3× 3124 💰 Pricing
https://www.stevens.edu/davidson-laboratory/about
Davidson Laboratory About | Stevens Institute of Technology
pricing 64 14.0× 2721 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/chemical-engineering-materials-science/about
Chemical Engineering and Materials Science Department - About | Stevens Institute of Technology
pricing 64 12.1× 3489 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/only-getting-started
‘Only Getting Started’ | Stevens Institute of Technology
pricing 64 52.3× 528 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/a-family-legacy-fulfilled
A Family Legacy Fulfilled | Stevens Institute of Technology
pricing 64 52.1× 532 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/nickel-mining-goes-green
Nickel Mining Goes Green | Stevens Institute of Technology
pricing 64 34.4× 822 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/a-historic-investment
A Historic $21 Million Investment | Stevens Institute of Technology
pricing 64 51.8× 550 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/meet-the-water-warriors
Meet the Water Warriors | Stevens Institute of Technology
pricing 64 44.7× 724 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/enthusiasm-and-empathy
Enthusiasm and Empathy | Stevens Institute of Technology
pricing 64 36.1× 781 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/heart-of-the-matter
Heart of the Matter | Stevens Institute of Technology
pricing 64 38.0× 766 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/campus-news
Campus News | Stevens Institute of Technology
pricing 64 47.6× 603 💰 Pricing
https://www.stevens.edu/indicator/fall-2025/investing-in-future-talent
Investing in Future Talent | Stevens Institute of Technology
pricing 64 54.6× 507 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/mechanical-engineering/about
Mechanical Engineering Department - About | Stevens Institute of Technology
pricing 61 14.1× 3427 💰 Pricing
https://www.stevens.edu/it/services/xrlab
XR Lab | Stevens Institute of Technology
pricing 58 18.3× 2458 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/systems-engineering/about
Systems Engineering Department - About | Stevens Institute of Technology
pricing 56 30.5× 1101 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/civil-environmental-ocean-engineering/about
Civil, Environmental and Ocean Engineering Department - About | Stevens Institute of Technology
pricing 56 32.8× 1128 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/physics/about
Physics Department - About | Stevens Institute of Technology
pricing 56 42.0× 813 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/biomedical-engineering/about
Biomedical Engineering Department - About | Stevens Institute of Technology
pricing 56 60.4× 511 💰 Pricing
https://www.stevens.edu/school-engineering-science/departments/electrical-computer-engineering/about
Electrical and Computer Engineering Department - About | Stevens Institute of Technology
pricing 56 36.3× 935 💰 Pricing
Showing 20 of 82 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
/indicator/ 24 56 0% 91.1× High JS Bloat
/school-engineering-science/ 16 53 0% 98.8× High JS Bloat
/it/ 9 48 1% 67.5× Bot Blocked
/universityrelations/ 5 44 1% 91.2× Bot Blocked
/page-basic/ 3 26 1% 908.5× Bot Blocked
/academics/ 2 30 0% 113.8× Bot Blocked
/about/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/research/ 1 46 0% 62.8× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/semcer-center-for-healthcare-innovation/ 1 46 0% 62.2× High JS Bloat
/directory/ 1 53 1% 43.2× Bot Blocked
/pricing/ 1 0 0% 0.0× Low AI Readiness
/center-for-healthcare-innovation/ 1 46 0% 62.2× High JS Bloat
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/stevens.edu

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

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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
82
Projected Score
90
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
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