uiuc.edu 72 B
🛡️ SEO 64 🤖 GEO 83 ⚡ Perf 62 🏗️ Arch 71

uiuc.edu — Global SEODiff Score 72/100

uiuc.edu
📊

At 80/100, the ACRI for uiuc.edu indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the education vertical, this places uiuc.edu above the industry average of 58 —, 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. A 7.3× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. The site includes 3 schema blocks, providing adequate structured data for basic entity recognition. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

72
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (62) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
📈 ACRI Trend 21 snapshots
Feb 22 Feb 26
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than uiuc.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)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)83 × 0.40 = 33.2
⚡ Performance (20% weight)62 × 0.20 = 12.4
🏗️ Architecture & Trust (15% weight)71 × 0.15 = 10.7
Weighted sum = 16.0 + 33.2 + 12.4 + 10.7
Global SEODiff Score = 72 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
59
Structure
avg 36
46
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.2%
Rank #2245
+6 pts
Gap
AI (ACRI)
Top 6%
Score 80/100

uiuc.edu shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why uiuc.edu ranks here

Tech stackNext.js
Industryeducation
RenderingSSR
Schema coverage3 blocks
Token bloat7.3×

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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

8 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

154 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 9
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Illinois
  • ✓ og:description — Discover the University of Illinois Urbana-Champaign—where innovation, community, and discovery drive world-class learning, research, and public impact.
  • ✓ og:image — preview
  • ✗ twitter:card
📐 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 →
uiuc.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 59/100 — Fair
Structured Elements 82 elements (82 lists, 0 rows, 0 headers)
Total Words795
Raw Density10.3%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks3 blocks

Schema Coverage Map

2/7 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.
💡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.

📐 AI Efficiency Metrics Docs

68
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability68/100 — 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

13%
🗑️ 87%
Useful Content (12.8 KB)Bloat (80.1 KB)
Token Bloat Ratio7.3× — Normal

Multimodal Readiness

Visual Context26% Optimized for Vision
Image Alt Coverage15 / 57 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 26% 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: 86.3% · SNR: 0.16 · Signal: 3268 / Noise: 20510 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/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of uiuc.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
⚠ SEMANTIC VOID
Target Audience
⚠ SEMANTIC VOID
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
SEMANTIC VOID
📊 Content Depth
2/10
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-27 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servernginx/1.28.1
CDN
HTTP Status200
Load Time1187 ms
Raw HTML Size92.9 KB
Visible Text Size12.8 KB

Performance & Speed

62/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1187 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

712
DOM nodes
93 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache, private
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 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

71/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

11
internal links
93
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 63/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for uiuc.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/uiuc.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=uiuc.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 2 pages · Deep-10

Homepage ACRI
63
Single-page score
-8
Moderate hidden bloat
Δ delta
Site-Wide ACRI
56
Avg across 2 pages · Range 54–57
Topical Cohesion
0%
Topical Drift
TF-IDF cosine similarity
Total Words
676
Avg Bloat
44.6×
Page Type ACRI Token Bloat Words Status
https://uiuc.edu/contact
Contacts | Illinois
support 57 32.6× 452
https://uiuc.edu/about
University of Illinois | Top-Ranked Public University
pricing 54 56.6× 224 💰 Pricing
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/contact/ 1 57 0% 32.6× High JS Bloat
/about/ 1 54 0% 56.6× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 2 pages
union.illinois.edu ×2
honors.illinois.edu ×2
undergradresearch.illinois.edu ×2
catalog.illinois.edu ×2
courses.illinois.edu ×2
allerton.illinois.edu ×2
instagram.com ×2
admissions.illinois.edu ×2
🔄 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/uiuc.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 uiuc.edu. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
uiuc.edu (this site) 63 80 Next.js 7.3× 3
allmynursejobs.com 81 90 WordPress 4.4× 3 Compare →
schoolchamp.net 80 85 Custom / Proprietary 4.3× 4 Compare →
preston.ac.uk 81 90 WordPress 6.3× 1 Compare →
aboutcasemanagerjobs.com 84 91 WordPress 5.2× 4 Compare →
aboutnursinghomejobs.com 84 91 WordPress 5.0× 4 Compare →
Compare All 5 Similar Sites →
🎭

Bait & Switch Delta

A 2 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.

54
Homepage ACRI
57
Inner Avg ACRI
-3
ACRI Delta
40%
Homepage Ghost
20%
Inner Avg Ghost
0
Drift Score [?]
Worst Inner Pages
57 20% support https://uiuc.edu/contact
🛡️

E-E-A-T Trust Signals

B 70/100

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
Address: 1901 Fox Drive Champaign, IL 61820 800-275-7877 (ASK-SURS) 217-378-8800 Visit SURS website Mot
🔗

Citation Profile

58 DOMAINS

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

95
Total Links
58
Unique Domains
47.5
Avg/Page
61%
Diversity
dres.illinois.edu honors.illinois.edu online.illinois.edu illinois.givepulse.com allerton.illinois.edu x.com extension.illinois.edu facebook.com union.illinois.edu otm.illinois.edu
🏘️ Outbound Neighborhood Trust Avg Trust: 17.8

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

🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

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

Current Score
80
Projected Score
86
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