einsteinmed.edu 75 B
🛡️ SEO 62 🤖 GEO 84 ⚡ Perf 52 🏗️ Arch 100

einsteinmed.edu — Global SEODiff Score 75/100

einsteinmed.edu
📊

The AI-Readiness profile for einsteinmed.edu is strong: an ACRI of 73/100 places it ahead of 76% of domains in the index. Within the education vertical, this places einsteinmed.edu above the industry average of 57 —, suggesting strong competitive positioning in AI search. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. With a 4.7× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

75
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (52) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)62 × 0.25 = 15.5
🤖 AI Readiness / GEO (40% weight)84 × 0.40 = 33.6
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 15.5 + 33.6 + 10.4 + 15.0
Global SEODiff Score = 75 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
54
Structure
avg 35
2
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 15%
Rank #146478
+10 pts
Gap
AI (ACRI)
Top 24%
Score 73/100

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

Why einsteinmed.edu ranks here

Tech stackDrupal
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat4.7×

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

62/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

57 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

242 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Albert Einstein College of Medicine | Montefiore Einstein
  • ✓ og:description — Albert EinsteinCollege of Medicine Where Innovation Meets Compassion We achieve scientific excellence with innovative medical education and research that promotes community engagement and advances access to healthcare in the Bronx and beyond.
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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

84/100 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 →
einsteinmed.edu
65
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 54/100 — Fair
Structured Elements 81 elements (81 lists, 0 rows, 0 headers)
Total Words927
Raw Density8.7%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

62
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability62/100 — AI models can partially extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

21%
🗑️ 79%
Useful Content (73.4 KB)Bloat (274.0 KB)
Token Bloat Ratio4.7× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage16 / 16 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

8 Entropy
Poor Token Bloat: High
Noise Ratio: 78.9% · SNR: 0.27 · Signal: 18781 / Noise: 70147 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…

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time932 ms
Raw HTML Size347.4 KB
Visible Text Size73.4 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

932 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1825
DOM nodes
347 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=30, s-maxage=0
  • ✗ 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

152
internal links
37
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 65/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for einsteinmed.edu
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/einsteinmed.edu" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=einsteinmed.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
65
Single-page score
-6
Moderate hidden bloat
Δ delta
Site-Wide ACRI
59
Avg across 2 pages · Range 54–64
Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
1263
Avg Bloat
80.4×
Ext. Citations
24
Page Type ACRI Token Bloat Words Status
https://einsteinmed.edu/about
About | Albert Einstein College of Medicine | About | Albert Einstein College of Medicine | Montefiore Einstein
about 64 41.5× 811
https://einsteinmed.edu/features
Newsroom | Montefiore Einstein Health & Science News
pricing 54 119.2× 452 💰 Pricing
🔗
Outbound External Citations
24 unique external domains cited across 2 pages
twitter.com ×2
facebook.com ×2
instagram.com ×2
events.montefioreeinstein.org ×2
montefioreeinstein.org ×2
cham.org ×2
youtube.com ×2
linkedin.com ×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/einsteinmed.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 einsteinmed.edu. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
einsteinmed.edu (this site) 65 73 Drupal 4.7× 1
usnh.edu 65 77 Drupal 5.2× 1 Compare →
sfasu.edu 66 75 Drupal 4.8× 1 Compare →
eomega.org 65 82 Drupal 4.0× 1 Compare →
rutgershealth.org 64 75 Drupal 4.5× 1 Compare →
swri.edu 66 77 Drupal 4.9× 1 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to einsteinmed.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": "Einsteinmed",
  "url": "https://einsteinmed.edu",
  "logo": "https://einsteinmed.edu/modules/custom/me_einstein_util/favicons/favicon-16x16.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 Einsteinmed?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Einsteinmed does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Einsteinmed work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Einsteinmed."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
73
Projected Score
85
Improvement
+12 pts
Add Organization schema +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