uindy.edu 77 B
🛡️ SEO 58 🤖 GEO 89 ⚡ Perf 65 🏗️ Arch 93

uindy.edu — Global SEODiff Score 77/100

uindy.edu
📊

uindy.edu achieves a 79/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Within the education vertical, this places uindy.edu above the industry average of 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. A tight 1.5× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

77
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 21, 2026 · 📋 API
📈 ACRI Trend 9 snapshots
Feb 23 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 9 Content change detected
📈 Feb 28 ACRI +11 (47→58)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)89 × 0.40 = 35.6
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 14.5 + 35.6 + 13.0 + 13.9
Global SEODiff Score = 77 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
93
Structure
avg 35
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #46332
Aligned
Gap
AI (ACRI)
Top 9%
Score 79/100

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

Why uindy.edu ranks here

Tech stackCustom / Proprietary
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat1.5×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

26 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

150 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://uindy.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
  • ✗ og:description
  • ✓ 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

89/100 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, rndirectors.com (ACRI: 85) 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 →
uindy.edu
79
Your ACRI Score
85
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. rndirectors.com has schema coverage of 4 blocks and uses WordPress. 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 93/100 — Excellent
Structured Elements 281 elements (281 lists, 0 rows, 0 headers)
Total Words1073
Raw Density26.2%

🏷️ 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.
💡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

73
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability73/100 — AI models can easily 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

66%
🗑️ 34%
Useful Content (65.8 KB)Bloat (35.6 KB)
Token Bloat Ratio1.5× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage9 / 9 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

88 Entropy
Good Token Bloat: Low
Noise Ratio: 35.1% · SNR: 1.85 · Signal: 16840 / Noise: 9102 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 uindy.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 Indianapolis provides a comprehensive range of academic programs and leadership development opportunities, focusing on supporting students throughout their educational journey and beyond.
Target Audience
University administrators, prospective students, faculty, staff, alumni, and post-traditional learners.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Strong leadership and a commitment to student success, combined with a diverse range of programs and initiatives.
📊 Content Depth
3/10
⚡ Key Pain Points
• Limited SEO visibility for specific programs
• Lack of structured information for leadership development resources
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

AI-Readiness Score50/100
ServerApache/2.4.62 (Oracle Linux Server) OpenSSL/3.5.1
CDN
HTTP Status200
Load Time595 ms
Raw HTML Size101.3 KB
Visible Text Size65.8 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

595 ms
Acceptable — room for improvement

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

📦 Page Weight

993
DOM nodes
101 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

292
internal links
13
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 79/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for uindy.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/uindy.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=uindy.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 85 pages · Deep-10

Homepage ACRI
79
Single-page score
-41
Severe hidden bloat
Δ delta
Site-Wide ACRI
39
Avg across 85 pages · Range 0–79
🔍
Hidden Bloat Detected

Homepage scores 79, but internal pages average only 39 — a -41-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
36280
Avg Bloat
29.0×
Page Type ACRI Token Bloat Words Status
https://uindy.edu/cas/mathematics/oaks/articles/mhmc
Was al-Khwarizmi an Applied Algebraist? by Jeff Oaks | UIndy
blog 79 3.0× 5880
https://uindy.edu/cas/mathematics/oaks/articles/lhanuteletters
Crerar Adams & Co. | UIndy
blog 79 4.8× 2315
https://uindy.edu/cas/mathematics/oaks/articles/trenails
Screw Dowels (Trenails) on the Santa Fe by Jeff Oaks | UIndy
blog 79 4.6× 2318
https://uindy.edu/cas/mathematics/oaks/articles/rta
Book Review | UIndy
pricing 79 4.9× 2232 💰 Pricing
https://uindy.edu/cas/mathematics/oaks/articles/narmowa
Spikes, Ties & Rails by Jeff Oaks | UIndy
pricing 74 7.6× 1145 💰 Pricing
https://uindy.edu/cas/mathematics/oaks/articles/publicservice
The Stubby Shadow Set: Solved? by Jeff Oaks | UIndy
blog 74 5.4× 1818
https://uindy.edu/studentcounseling/resources
Campus & Community Resources | UIndy
blog 74 8.2× 1936
https://uindy.edu/cas/mathematics/oaks/datenails/resources
Date Nails Resources | UIndy
pricing 74 7.0× 1545 💰 Pricing
https://uindy.edu/about-uindy/leadership/president/about
About the President | UIndy
about 64 12.8× 625
https://uindy.edu/cas/engineering/about
About Our Engineering Programs | UIndy
about 64 13.5× 735
https://uindy.edu/business/mba/about
Why Choose the MBA program at UIndy? | UIndy
about 61 14.2× 636
https://uindy.edu/archives/uindy-saga/about
About the UIndy Saga Project | UIndy
about 61 13.3× 603
https://uindy.edu/alumni/services
Alumni Services & Benefits | UIndy
product 61 16.5× 556
https://uindy.edu/issl2024/plan
About the 10-year Plan for ISSL | UIndy
pricing 51 16.0× 496
https://uindy.edu/mayoral/about
About the ICLMA | UIndy
about 51 16.5× 456
https://uindy.edu/cac/about
About the Center for Aging & Community | UIndy
about 51 18.5× 345
https://uindy.edu/health-sciences/nursing/msn/service
MSN Service Opportunities | UIndy
product 51 19.7× 415
https://uindy.edu/police-department/about
About the UIndy Police Department | UIndy
about 46 29.1× 261
https://uindy.edu/library/resources
Library Resources | UIndy
blog 46 30.0× 273
https://uindy.edu/library/about
About the Krannert Memorial Library | UIndy
about 46 20.5× 404
Showing 20 of 85 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
/cas/ 31 46 0% 33.1× High JS Bloat
/cebs/ 13 34 1% 42.1× Bot Blocked
/health-sciences/ 6 38 1% 37.1× Bot Blocked
/business/ 4 40 1% 35.3× Bot Blocked
/about-uindy/ 2 54 0% 24.5× High JS Bloat
/police-department/ 2 46 0% 29.0× High JS Bloat
/library/ 2 46 0% 25.2× High JS Bloat
/facilities-management/ 2 44 0% 30.9× Bot Blocked
/cdcge/ 2 40 0% 37.2× Bot Blocked
/alumni/ 2 54 0% 21.3× High JS Bloat
/archives/ 2 52 0% 23.2× Bot Blocked
/issl2024/ 1 51 0% 16.0× High JS Bloat
/studentcounseling/ 1 74 0% 8.2× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
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🔌 API Access

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

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📊 Semantic Share of Voice

How often would an AI cite uindy.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 uindy.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": "Uindy",
  "url": "https://uindy.edu",
  "logo": "images/favicon/apple-icon-180x180.png",
  "sameAs": []
}
</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 Uindy?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Uindy does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Uindy work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Uindy."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
79
Projected Score
88
Improvement
+9 pts
Add Organization schema +6 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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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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