marist.edu 61 C
🛡️ SEO 31 🤖 GEO 80 ⚡ Perf 46 🏗️ Arch 82

marist.edu — Global SEODiff Score 61/100

marist.edu
📊

With a solid 77/100 ACRI, marist.edu is well-positioned for AI search — better than 86% of sites in the Radar. Compared to other education sites (avg score: 57), marist.edu performs above the benchmark, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. The token bloat ratio sits at a lean 4.9×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (31) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 17, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Feb 23 Mar 6
🔔 Recent AI Indexing Activity
🔄 Mar 17 Content change detected
Does your site score higher than marist.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)31 × 0.25 = 7.8
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)46 × 0.20 = 9.2
🏗️ Architecture & Trust (15% weight)82 × 0.15 = 12.3
Weighted sum = 7.8 + 32.0 + 9.2 + 12.3
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
86
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #30852
+11 pts
Gap
AI (ACRI)
Top 14%
Score 77/100

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

Why marist.edu ranks here

Tech stackCustom / Proprietary
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat4.9×

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

31/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

39 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

232 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 11
  • ✓ Has <h2> headings — found 59
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Welcome - Marist University
  • ✓ og:description — Marist University is a comprehensive, independent four-year institution whose signature educational approach blends the liberal arts with pre-professional studies and emphasizes experiential learning to enrich classroom instruction.
  • ✓ 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

80/100 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 →
marist.edu
68
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 86/100 — Excellent
Structured Elements 748 elements (748 lists, 0 rows, 0 headers)
Total Words3368
Raw Density22.2%

🏷️ 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

71
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability71/100 — AI models can easily extract answers from this page
Crawl CostMedium (60/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

20%
🗑️ 80%
Useful Content (88.3 KB)Bloat (347.9 KB)
Token Bloat Ratio4.9× — Lean

Multimodal Readiness

Visual Context51% Optimized for Vision
Image Alt Coverage22 / 43 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

2 Entropy
Poor Token Bloat: High
Noise Ratio: 79.8% · SNR: 0.25 · Signal: 22607 / Noise: 89068 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 marist.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
Marist University provides a comprehensive, liberal arts-based education with pre-professional studies and experiential learning, fostering personal growth and occupational expertise
Target Audience
Undergraduate and graduate students, prospective students, faculty, staff, alumni, and community members interested in higher education.
Pricing Model
Tuition fees vary based on program and level; financial aid and scholarship options are available.
🏆 Competitive Moat
Unique blend of liberal arts and pre-professional studies combined with personalized attention and a strong sense of community, fostering student success and engagement.
📊 Content Depth
6/10
⚡ Key Pain Points
• Limited information on specific program details beyond general offerings
• Lack of detailed information on financial aid and scholarship opportunities
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

AI-Readiness Score50/100
ServerApache/2.4.56 (Amazon Linux) OpenSSL/3.0.8
CDN
HTTP Status200
Load Time807 ms
Raw HTML Size436.2 KB
Visible Text Size88.3 KB

Performance & Speed

46/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

807 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

3263
DOM nodes
436 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, no-cache, no-store, 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

82/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

738
internal links
20
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 68/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for marist.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/marist.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=marist.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 98 pages · Deep-10

Homepage ACRI
68
Single-page score
-16
Moderate hidden bloat
Δ delta
Site-Wide ACRI
52
Avg across 98 pages · Range 0–59
🔍
Hidden Bloat Detected

Homepage scores 68, but internal pages average only 52 — a -16-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
61884
Avg Bloat
103.6×
Page Type ACRI Token Bloat Words Status
https://marist.edu/about
About Marist University - Marist University
pricing 59 105.8× 635 💰 Pricing
https://marist.edu/faq
FAQ, Master of Social Work - Marist University
pricing 59 58.7× 1125 💰 Pricing
https://www.marist.edu/w/profiles/michael-goumas
Michael Goumas - Profile - Marist University
pricing 59 102.4× 567 💰 Pricing
https://www.marist.edu/w/profiles/jasmine-a-higgins
Jasmine A. Higgins - Profile - Marist University
pricing 59 69.1× 846 💰 Pricing
https://www.marist.edu/w/profiles/hannah-armstrong
Hannah Armstrong - Profile - Marist University
pricing 59 73.7× 792 💰 Pricing
https://www.marist.edu/w/profiles/paige-difiore
Paige DiFiore - Profile - Marist University
pricing 59 102.4× 567 💰 Pricing
https://www.marist.edu/w/profiles/nasri-hattar
Nasri Hattar - Profile - Marist University
pricing 59 54.2× 1082 💰 Pricing
https://www.marist.edu/w/profiles/maggie-lyman
Maggie Lyman - Profile - Marist University
pricing 59 80.9× 720 💰 Pricing
https://www.marist.edu/w/profiles/jade-sinskul
Jade Sinskul - Profile - Marist University
pricing 59 60.3× 976 💰 Pricing
https://www.marist.edu/w/profiles/deanna-singer
DeAnna Singer - Profile - Marist University
pricing 59 107.4× 540 💰 Pricing
https://www.marist.edu/w/profiles/brennan-duarte
Brennan Duarte - Profile - Marist University
pricing 59 63.3× 923 💰 Pricing
https://www.marist.edu/w/profiles/maggie-montalto
Maggie Montalto - Profile - Marist University
pricing 59 104.9× 554 💰 Pricing
https://www.marist.edu/w/profiles/elio-velazquez
Elio Velazquez - Profile - Marist University
pricing 59 66.9× 874 💰 Pricing
https://www.marist.edu/w/profiles/bethany-hucks
Bethany Hucks - Profile - Marist University
pricing 59 61.7× 949 💰 Pricing
https://www.marist.edu/w/profiles/max-darrington
Max Darrington - Profile - Marist University
pricing 59 94.6× 614 💰 Pricing
https://www.marist.edu/w/profiles/riana-ramirez
Riana Ramirez - Profile - Marist University
pricing 59 109.4× 530 💰 Pricing
https://www.marist.edu/w/profiles/ian-krout
Ian Krout - Profile - Marist University
pricing 59 80.4× 724 💰 Pricing
https://www.marist.edu/w/profiles/carolyn-turcotte
Carolyn Turcotte - Profile - Marist University
pricing 59 63.3× 924 💰 Pricing
https://www.marist.edu/w/profiles/brendon-boldt
Brendon Boldt - Profile - Marist University
pricing 59 63.6× 921 💰 Pricing
https://www.marist.edu/w/profiles/brooke-dipalma
Brooke DiPalma - Profile - Marist University
pricing 59 74.1× 787 💰 Pricing
Showing 20 of 98 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
/w/ 87 56 0% 98.1× High JS Bloat
/about/ 1 59 0% 105.8× High JS Bloat
/security/ 1 49 0% 146.4× High JS Bloat
/blog/ 1 39 0% 530.5× High JS Bloat
/contact/ 1 39 0% 784.0× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/features/ 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
/faq/ 1 59 0% 58.7× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 98 pages
maristpoll.marist.edu ×92
facebook.com ×92
youvisit.com ×92
my.marist.edu ×92
youtube.com ×92
instagram.com ×92
twitter.com ×92
customviewbook.marist.edu ×92
🔄 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/marist.edu

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

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Domains with a similar tech stack, industry, and AI readiness profile to marist.edu. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

How often would an AI cite marist.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 marist.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": "Marist",
  "url": "https://marist.edu",
  "logo": "https://www.marist.edu/o/marist-university-theme/images/favicon-96x96.png?v=2.0",
  "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": "Marist",
  "url": "https://marist.edu",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://marist.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 Marist?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Marist does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Marist work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Marist."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
77
Projected Score
93
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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