uchastings.edu 63 C
🛡️ SEO 47 🤖 GEO 81 ⚡ Perf 34 🏗️ Arch 78

uchastings.edu — Global SEODiff Score 63/100

uchastings.edu
📊

The AI-Readiness profile for uchastings.edu is strong: an ACRI of 79/100 places it ahead of 91% of domains in the index. Within the education vertical, this places uchastings.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. A 7.9× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (34) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Mar 7 Mar 11
🔔 Recent AI Indexing Activity
📈 Mar 11 ACRI +1 (58→59)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)47 × 0.25 = 11.8
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)34 × 0.20 = 6.8
🏗️ Architecture & Trust (15% weight)78 × 0.15 = 11.7
Weighted sum = 11.8 + 32.4 + 6.8 + 11.7
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
45
Structure
avg 35
44
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 12%
Rank #116214
Aligned
Gap
AI (ACRI)
Top 9%
Score 79/100

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

Why uchastings.edu ranks here

Tech stackWordPress
Industryeducation
RenderingSSR
Schema coverage2 blocks
Token bloat7.9×

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

47/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

45 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

307 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 3
  • ✓ Has <h2> headings — found 21
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.uclawsf.edu/
  • ✓ 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 — UC Law San Francisco | (Formerly UC Hastings)
  • ✓ og:description — Founded in 1878 as the original law department of the University of California system, UC Law SF educates the brightest and most ambitious learners, propelling them to become leaders, trailblazing entrepreneurs, and catalysts of change. Explore what makes UC Law SF one of the top law schools in the nation.
  • ✓ 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

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, 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 →
uchastings.edu
59
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 45/100 — Fair
Structured Elements 110 elements (110 lists, 0 rows, 0 headers)
Total Words1799
Raw Density6.1%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.
💡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

62
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability62/100 — AI models can partially extract answers from this page
Crawl CostMedium (65/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

12%
🗑️ 88%
Useful Content (37.9 KB)Bloat (262.5 KB)
Token Bloat Ratio7.9× — Normal

Multimodal Readiness

Visual Context92% Optimized for Vision
Image Alt Coverage35 / 38 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 87.4% · SNR: 0.14 · Signal: 9714 / Noise: 67203 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 uchastings.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 Center for Negotiation & Dispute Resolution (CNDR) at UC Law SF provides education and scholarship in dispute resolution to
Target Audience
Law students, attorneys, judges, practitioners, international visitors, mediators, and dispute resolution professionals.
Pricing Model
Variable; tuition-based with options for in-person and online training programs, including scholarships (Purcell ADR Scholarship).
🔗 Integration Partners
JAMSCalifornia Public Utilities Commission
🏆 Competitive Moat
Leading ADR law school program in the US, ranked among the top 15, with a strong international reputation and comprehensive curriculum.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Template comparison pages (e.g., ADR Externship Program, Mediation Clinic)Integration directory pages (e.g., JAMS)
⚡ Key Pain Points
• Limited course sizes (most classes under 16 students)
Analyzed by SEODiff AI · 2026-03-06

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time2126 ms
Raw HTML Size300.5 KB
Visible Text Size37.9 KB

Performance & Speed

34/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2126 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1160
DOM nodes
300 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=600
  • ✗ 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

78/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

1
internal links
193
external links
Very few internal links — crawlers may miss important pages

🔒 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 59/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
59
Single-page score
-44
Severe hidden bloat
Δ delta
Site-Wide ACRI
15
Avg across 10 pages · Range 0–64
🔍
Hidden Bloat Detected

Homepage scores 59, but internal pages average only 15 — a -44-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
1%
Topical Drift
TF-IDF cosine similarity
Total Words
1544
Avg Bloat
37.8×
Page Type ACRI Token Bloat Words Status
https://uchastings.edu/about
About CNDR - UC Law San Francisco (Formerly UC Hastings)
about 64 23.2× 1109
https://uchastings.edu/contact
About UC Law San Francisco – Online & Hybrid MLS
support 54 28.7× 400
https://uchastings.edu/faq
FAQ: Educational Fines and Fees in K – 12 Public Schools, Center for Racial and Economic Justice, University of California College of the Law, San Francisco (2025). - UC Law San Francisco (Formerly UC Hastings)
support 34 326.5× 35
https://uchastings.edu/pricing pricing 0 0.0× 0
https://uchastings.edu/features product 0 0.0× 0
https://uchastings.edu/products product 0 0.0× 0
https://uchastings.edu/docs docs 0 0.0× 0
https://uchastings.edu/blog blog 0 0.0× 0
https://uchastings.edu/case-studies social-proof 0 0.0× 0
https://uchastings.edu/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 64 0% 23.2× High JS Bloat
/contact/ 1 54 0% 28.7× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 34 0% 326.5× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
linkedin.com ×3
twitter.com ×3
instagram.com ×3
facebook.com ×3
uclawsf.edu ×3
app.adaptibar.com ×2
youtube.com ×2
bsky.app ×2
🔄 Re-Crawl & Update 📡 Track this Domain

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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/uchastings.edu

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

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uchastings.edu (this site) 59 79 WordPress 7.9× 2
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📊 Semantic Share of Voice

How often would an AI cite uchastings.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 uchastings.edu. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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": "Uchastings",
  "url": "https://uchastings.edu",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://uchastings.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 Uchastings?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Uchastings does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Uchastings work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Uchastings."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
79
Projected Score
89
Improvement
+10 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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