ithaka.org 74 B
🛡️ SEO 73 🤖 GEO 71 ⚡ Perf 74 🏗️ Arch 83

ithaka.org — Global SEODiff Score 74/100

ithaka.org
📊

With a solid 78/100 ACRI, ithaka.org is well-positioned for AI search — better than 88% of sites in the Radar. In the education sector, ithaka.org 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 13.7× — 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.

74
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but AI Readiness (71) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 18
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)73 × 0.25 = 18.2
🤖 AI Readiness / GEO (40% weight)71 × 0.40 = 28.4
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 18.2 + 28.4 + 14.8 + 12.4
Global SEODiff Score = 74 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
42
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #60658
+6 pts
Gap
AI (ACRI)
Top 12%
Score 78/100

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

Why ithaka.org ranks here

Tech stackWordPress
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat13.7×

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

73/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

13 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

147 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 11
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.ithaka.org/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Home - ITHAKA
  • ✓ og:description — We are a mission-based not-for-profit working to eliminate barriers to learning by making higher education and access to knowledge more affordable.
  • ✓ 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

71/100 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, melbourneschool.com (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 →
ithaka.org
55
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. melbourneschool.com 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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 42/100 — Fair
Structured Elements 36 elements (36 lists, 0 rows, 0 headers)
Total Words668
Raw Density5.4%

🏷️ 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

55
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability55/100 — 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

7%
🗑️ 93%
Useful Content (8.7 KB)Bloat (111.2 KB)
Token Bloat Ratio13.7× — Normal

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 5 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

0 Entropy
Poor Token Bloat: High
Noise Ratio: 92.7% · SNR: 0.08 · Signal: 2238 / Noise: 28476 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 ithaka.org 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
ITHAKA’s Next Wave 2019 is an annual convening for academic, scholarly communications, and museum communities, addressing key trends in technology
Target Audience
Academic librarians, researchers, museum professionals, higher education administrators, faculty, and students.
Pricing Model
⚠ SEMANTIC VOID
🔗 Integration Partners
FacebookTwitterGoogle
🏆 Competitive Moat
Focus on fostering interactive discussions and addressing complex challenges related to digital literacy, data science, and academic integrity, leveraging expert insights and audience feedback.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Video links for each sessionAudience voting on challenges and speaker responses
⚡ Key Pain Points
• Decline in public perception of higher education
• Rise in activism on campus
• Preventing speakers from speaking
• Perception that free inquiry is dead
• Groupthink and identity politics
• Difficulty discerning fact from fiction in a digital context
• Lack of access to raw, user-level data for research
• Privacy concerns related to data sharing
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time537 ms
Raw HTML Size120.0 KB
Visible Text Size8.7 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

537 ms
Acceptable — room for improvement

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

📦 Page Weight

556
DOM nodes
120 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ 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

83/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

38
internal links
7
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 55/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for ithaka.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/ithaka.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=ithaka.org" 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 71 pages · Deep-10

Homepage ACRI
55
Single-page score
-6
Moderate hidden bloat
Δ delta
Site-Wide ACRI
49
Avg across 71 pages · Range 0–85
Topical Cohesion
11%
Topical Drift
TF-IDF cosine similarity
Total Words
34499
Avg Bloat
61.9×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.ithaka.org/news/how-will-big-trends-tech-and-society-reshape-research-and-learning/
Next Wave 2019: How will big trends in tech and society impact research and learning? - ITHAKA
pricing 85 7.0× 4146 💰 Pricing
https://www.ithaka.org/news/next-wave-2016-where-us-higher-education-going/
The Next Wave 2016: Where is U.S. higher education going? - ITHAKA
pricing 72 16.5× 1563 💰 Pricing
https://www.ithaka.org/job/4645220005/?gh_jid=4645220005
Intern, Software Engineering - ITHAKA
careers 67 21.6× 1111
https://www.ithaka.org/job/4652626005/?gh_jid=4652626005
Intern, Ithaka S+R (Rural Student Success Network) - ITHAKA
pricing 67 23.5× 1026 💰 Pricing
https://www.ithaka.org/job/4652625005/?gh_jid=4652625005
Intern, Publisher Relations - ITHAKA
careers 67 23.6× 1015
https://www.ithaka.org/job/4648458005/?gh_jid=4648458005
Senior Software Engineer (full-stack) - ITHAKA
pricing 67 22.1× 1091 ⚠️ RAG Fracture
https://www.ithaka.org/job/4658019005/?gh_jid=4658019005
Senior Software Engineer (Enablement) - ITHAKA
pricing 67 23.4× 1026 💰 Pricing
https://www.ithaka.org/news/internships-2020-what-we-all-learned/
Internships 2020: what we all learned - ITHAKA
blog 67 24.7× 991
https://www.ithaka.org/news/shai-reshef-answers-your-questions/
Shai Reshef answers your questions - ITHAKA
other 67 23.3× 1051
https://www.ithaka.org/news/jstor-and-university-press-partners-announce-path-to-open-books-pilot/
JSTOR and university press partners announce Path to Open books pilot - ITHAKA
integrations 67 25.3× 975
https://www.ithaka.org/news/ithaka-receives-500000-grant-to-bring-unheard-voices-to-the-public-americas-incarcerated/
ITHAKA Receives $500,000 Grant to Bring Unheard Voices to the Public: America’s Incarcerated - ITHAKA
other 67 22.1× 1130
https://www.ithaka.org/news/reveal-digital/
Reveal Digital Joins ITHAKA - ITHAKA
other 64 41.6× 569
https://www.ithaka.org/news/ithaka-response-to-covid-19/
ITHAKA response to COVID-19 - ITHAKA
other 64 29.3× 818
https://www.ithaka.org/news/transition-in-jstor-leadership-a-letter-from-laura-brown/
Transition in JSTOR leadership: a letter from Laura Brown - ITHAKA
other 64 38.3× 627
https://www.ithaka.org/news/ithaka-response-covid-19-0/
Resources for our community and business continuity plans - ITHAKA
other 64 29.6× 814
https://www.ithaka.org/news/can-universities-and-colleges-adapt-to-todays-challenges/
Can universities and colleges adapt to today's challenges? - ITHAKA
other 64 41.0× 597
https://www.ithaka.org/news/can-universities-and-colleges-adapt-todays-challenges/
Next Wave 2017: Can universities and colleges adapt to today's challenges? - ITHAKA
other 64 40.8× 600
https://www.ithaka.org/news/looking-for-a-truly-great-read-we-have-a-list-for-you/
Looking for a truly great read? We have a list for you. - ITHAKA
other 64 30.7× 793
https://www.ithaka.org/news/expanded-access-to-jstor-archive-extended-through-2020-a-letter-from-kevin-guthrie/
Expanded Access to JSTOR archive extended through 2020: a letter from Kevin Guthrie - ITHAKA
pricing 64 40.5× 597 💰 Pricing
https://www.ithaka.org/news/ithaka-announces-institute-to-help-teachers-build-text-analysis-skills/
ITHAKA announces institute to help teachers build text analysis skills - ITHAKA
support 64 46.3× 522
Showing 20 of 71 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
/news/ 55 56 0% 75.4× High JS Bloat
/job/ 5 67 0% 22.8× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/careers/ 1 44 0% 134.7× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 71 pages
medium.com ×61
glassdoor.com ×61
linkedin.com ×61
twitter.com ×59
facebook.com ×59
sr.ithaka.org ×20
about.jstor.org ×16
jstor.org ×10
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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/ithaka.org

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📊 Semantic Share of Voice

How often would an AI cite ithaka.org 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 ithaka.org. 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 7% 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 Ithaka?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Ithaka does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Ithaka work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Ithaka."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for ithaka.org:

Current Score
78
Projected Score
86
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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