kenyon.edu 63 C
🛡️ SEO 39 🤖 GEO 81 ⚡ Perf 65 🏗️ Arch 53

kenyon.edu — Global SEODiff Score 63/100

kenyon.edu
📊

kenyon.edu shows strong AI visibility with an ACRI of 72/100, outperforming 73% of indexed domains. Within the education vertical, this places kenyon.edu above the industry average of 57 —, 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. The token bloat ratio sits at a lean 4.4×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (39) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 22 snapshots
Feb 22 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 15 Content change detected
Does your site score higher than kenyon.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)39 × 0.25 = 9.8
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)53 × 0.15 = 7.9
Weighted sum = 9.8 + 32.4 + 13.0 + 7.9
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
62
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #28286
+25 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

kenyon.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 kenyon.edu ranks here

Tech stackCustom / Proprietary
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat4.4×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

39/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

55 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

174 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 19
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ 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 — Kenyon | A Top Liberal Arts College with a Global Reach
  • ✓ og:description — Recognized among the best liberal arts colleges, Kenyon College pairs rigorous academics with a connected campus and more NCAA DIII championships than any other DIII college.
  • ✗ og:image
  • ✗ 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

81/100 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 →
kenyon.edu
58
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 62/100 — Good
Structured Elements 101 elements (101 lists, 0 rows, 0 headers)
Total Words875
Raw Density11.5%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 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

22%
🗑️ 78%
Useful Content (18.7 KB)Bloat (63.2 KB)
Token Bloat Ratio4.4× — Lean

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 15 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 0% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

15 Entropy
Poor Token Bloat: High
Noise Ratio: 77.2% · SNR: 0.30 · Signal: 4776 / Noise: 16184 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 kenyon.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
This text describes the Residential Life department at Kenyon College, providing contact information and staff profiles.
Target Audience
Residential students, student affairs staff, campus administrators
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Detailed staff information and contact details for residential life operations.
📊 Content Depth
1/10
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time631 ms
Raw HTML Size81.9 KB
Visible Text Size18.7 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

631 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

838
DOM nodes
82 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✗ 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

53/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

100
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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for kenyon.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/kenyon.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=kenyon.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 107 pages · Deep-10

Homepage ACRI
58
Single-page score
+2
Consistent readability
Δ delta
Site-Wide ACRI
60
Avg across 107 pages · Range 0–90
Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
51072
Avg Bloat
55.8×
Page Type ACRI Token Bloat Words Status
https://www.kenyon.edu/academics/advising-resources/writing-center/blog/
Writing Center Blog | Kenyon College
blog 90 7.4× 2697
https://www.kenyon.edu/careers-outcomes/career-development-office/internships-research/kcip/partners/
Information for Community Partners & Donors | Kenyon College
integrations 80 15.8× 1018
https://www.kenyon.edu/careers-outcomes/after-kenyon/professional-graduate-school/
Professional School & Graduate School Advising | Kenyon College
careers 80 12.0× 1213
https://www.kenyon.edu/academics/student-research/
Student Research | Kenyon College
other 80 13.4× 1313
https://www.kenyon.edu/academics/advising-resources/office-of-academic-advising/faculty-resources/
Faculty Resources for Academic Advising | Kenyon College
blog 80 15.0× 965
https://www.kenyon.edu/careers-outcomes/internships/
Internships | Kenyon College
careers 80 16.6× 1075
https://www.kenyon.edu/campus-life/inclusion-belonging/programs-services/
Programs & Services | Kenyon College
product 80 15.2× 1015
https://www.kenyon.edu/offices-and-services/ombuds/services/
Services | Kenyon College
product 77 18.9× 732
https://www.kenyon.edu/academics/departments-and-majors/environmental-studies/
Environmental Studies | Kenyon College
other 77 19.5× 931
https://www.kenyon.edu/admissions-aid/visit-kenyon/travel-to-kenyon/where-to-eat/
Where to Eat | Kenyon College
other 77 18.8× 724
https://www.kenyon.edu/sponsored-faculty-projects/proposals/resources/
Resources for Proposals | Kenyon College
blog 72 25.0× 553
https://www.kenyon.edu/for-alumni/events/swimming-reunion/faq/
Frequently Asked Questions | Kenyon College
pricing 72 24.5× 551 💰 Pricing
https://www.kenyon.edu/campus-life/health-safety/office-of-campus-safety/parking/faq/
Frequently Asked Questions | Kenyon College
support 72 20.7× 709
https://www.kenyon.edu/academics/departments-and-majors/biology/
Biology | Kenyon College
other 72 25.9× 536
https://www.kenyon.edu/admissions-aid/visit-kenyon/
Visit Kenyon | Kenyon College
other 72 30.1× 610
https://www.kenyon.edu/academics/
Academics | Kenyon College
other 72 27.2× 534
https://www.kenyon.edu/careers-outcomes/
Careers & Outcomes | Kenyon College
careers 72 24.6× 737
https://www.kenyon.edu/academics/academic-calendar/
Academic Calendar | Kenyon College
other 72 24.5× 512
https://www.kenyon.edu/academics/departments-and-majors/neuroscience/
Neuroscience | Kenyon College
other 72 31.8× 523
https://www.kenyon.edu/careers-outcomes/after-kenyon/
After Kenyon | Kenyon College
careers 72 28.7× 572
Showing 20 of 100 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
/academics/ 48 67 0% 34.5× High JS Bloat
/campus-life/ 21 62 0% 114.4× High JS Bloat
/offices-and-services/ 9 59 0% 66.9× High JS Bloat
/admissions-aid/ 8 63 0% 125.1× High JS Bloat
/careers-outcomes/ 7 74 0% 23.6× High JS Bloat
/kenyon-on-a-tour/ 1 72 0% 25.6× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 62 0% 32.4× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/sponsored-faculty-projects/ 1 72 0% 25.0× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/kenyon-in-pictures/ 1 72 0% 34.2× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 107 pages
tiktok.com ×98
thegund.org ×98
linkedin.com ×98
map.kenyon.edu ×98
instagram.com ×98
shopkenyon.com ×98
library.kenyon.edu ×98
kenyonreview.org ×98
🔄 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/kenyon.edu

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

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📊 Semantic Share of Voice

How often would an AI cite kenyon.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 kenyon.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": "Kenyon",
  "url": "https://kenyon.edu",
  "logo": "https://www.kenyon.edu/favicons/apple-touch-icon.png",
  "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": "Kenyon",
  "url": "https://kenyon.edu",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://kenyon.edu/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</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 Kenyon?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Kenyon does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Kenyon work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Kenyon."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
72
Projected Score
88
Improvement
+16 pts
Add Organization schema +6 pts
Add WebSite schema +4 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
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