uwbadgers.com 61 C
🛡️ SEO 50 🤖 GEO 64 ⚡ Perf 47 🏗️ Arch 91

uwbadgers.com — Global SEODiff Score 61/100

uwbadgers.com
📊

With a solid 70/100 ACRI, uwbadgers.com is well-positioned for AI search — better than 67% of sites in the Radar. In the education sector, uwbadgers.com outperforms the average (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. A 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. Some AI crawlers are permitted while others are blocked — a mixed robots.txt policy that limits visibility in certain AI ecosystems.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
🎯 Top Fix: Reduce token bloat (84×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Mar 7 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
🔄 Mar 20 Content change detected
🔄 Mar 20 Content change detected
🔄 Mar 18 Content change detected
🔄 Mar 16 Content change detected
Does your site score higher than uwbadgers.com?
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)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)64 × 0.40 = 25.6
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)91 × 0.15 = 13.7
Weighted sum = 12.5 + 25.6 + 9.4 + 13.7
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
80
Bot Access
avg 92
99
Rendering
avg 93
68
Structure
avg 35
0
Schema
avg 9
80
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 9%
Rank #86907
+25 pts
Gap
AI (ACRI)
Top 33%
Score 70/100

uwbadgers.com 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 uwbadgers.com ranks here

Tech stackNuxt.js
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat50×+

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

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

46 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

64 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://uwbadgers.com
  • ✓ 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 — Wisconsin Badgers | Official Athletics Website
  • ✓ og:description — The official athletics website for the Wisconsin Badgers Badgers
  • ✓ 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

64/100 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 →
uwbadgers.com
54
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)
Blocked
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 68/100 — Good
Structured Elements 149 elements (149 lists, 0 rows, 0 headers)
Total Words1081
Raw Density13.8%

🏷️ 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

46
AI Extractability
High
Crawl Cost
Low
Blocklist Risk
Extractability46/100 — AI models can partially extract answers from this page
Crawl CostHigh (100/100) — expensive for AI crawlers to process
Blocklist RiskLow — 1 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (7.2 KB)Bloat (596.1 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context90% Optimized for Vision
Image Alt Coverage46 / 51 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 603.3 KB, but only 7.2 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 98.8% · SNR: 0.01 · Signal: 1843 / Noise: 152603 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 uwbadgers.com 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 website provides a historical record of the University of Wisconsin Athletics football schedule from 1925 to 2025, including game results, dates, and related videos.
Target Audience
Fans of Wisconsin Badgers football, sports historians, and researchers.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Comprehensive historical data of Wisconsin Badgers football schedules.
📊 Content Depth
3/10
⚡ Key Pain Points
• Limited search functionality
• Lack of interactive features
Analyzed by SEODiff AI · 2026-03-04

🔧 Tech Stack

FrameworkNuxt.js
AI-Readiness Score80/100
Server
CDN
HTTP Status200
Load Time648 ms
Raw HTML Size603.3 KB
Visible Text Size7.2 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

648 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1694
DOM nodes
603 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=60
  • ✗ 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

91/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://admin.uwbadgers.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

137
internal links
47
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 54/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for uwbadgers.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/uwbadgers.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=uwbadgers.com" 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 53 pages · Deep-10

Homepage ACRI
54
Single-page score
-14
Moderate hidden bloat
Δ delta
Site-Wide ACRI
41
Avg across 53 pages · Range 0–50
🔍
Hidden Bloat Detected

Homepage scores 54, but internal pages average only 41 — a -14-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
10%
Topical Drift
TF-IDF cosine similarity
Total Words
25332
Avg Bloat
160.1×
Page Type ACRI Token Bloat Words Status
https://uwbadgers.com/sports/football/schedule/1925
1925 Football Schedule | Wisconsin Badgers
other 50 196.8× 599
https://uwbadgers.com/sports/football/schedule/1903
1903 Football Schedule | Wisconsin Badgers
other 50 192.5× 626
https://uwbadgers.com/sports/football/schedule/1907
1907 Football Schedule | Wisconsin Badgers
other 50 198.1× 567
https://uwbadgers.com/sports/football/schedule/1922
1922 Football Schedule | Wisconsin Badgers
other 50 197.2× 587
https://uwbadgers.com/sports/football/schedule/1929
1929 Football Schedule | Wisconsin Badgers
other 50 198.1× 606
https://uwbadgers.com/sports/football/schedule/1926
1926 Football Schedule | Wisconsin Badgers
other 50 197.2× 598
https://uwbadgers.com/sports/football/schedule/1927
1927 Football Schedule | Wisconsin Badgers
other 50 199.3× 589
https://uwbadgers.com/sports/football/schedule/1889
1889 Football Schedule | Wisconsin Badgers
other 50 202.4× 518
https://uwbadgers.com/sports/football/schedule/1928
1928 Football Schedule | Wisconsin Badgers
other 50 196.0× 615
https://uwbadgers.com/sports/football/schedule/1890
1890 Football Schedule | Wisconsin Badgers
other 50 201.2× 545
https://uwbadgers.com/sports/football/schedule/1930
1930 Football Schedule | Wisconsin Badgers
other 50 195.9× 611
https://uwbadgers.com/sports/football/schedule/1931
1931 Football Schedule | Wisconsin Badgers
other 50 196.3× 625
https://uwbadgers.com/sports/football/schedule/1891
1891 Football Schedule | Wisconsin Badgers
other 50 198.7× 561
https://uwbadgers.com/sports/football/schedule/1893
1893 Football Schedule | Wisconsin Badgers
other 50 198.5× 570
https://uwbadgers.com/sports/football/schedule/1892
1892 Football Schedule | Wisconsin Badgers
other 50 199.2× 581
https://uwbadgers.com/sports/football/schedule/1894
1894 Football Schedule | Wisconsin Badgers
other 50 198.0× 580
https://uwbadgers.com/sports/football/schedule/1895
1895 Football Schedule | Wisconsin Badgers
other 50 196.1× 597
https://uwbadgers.com/sports/football/schedule/1896
1896 Football Schedule | Wisconsin Badgers
other 50 193.7× 609
https://uwbadgers.com/sports/football/schedule/1898
1898 Football Schedule | Wisconsin Badgers
other 50 195.5× 614
https://uwbadgers.com/sports/football/schedule/1897
1897 Football Schedule | Wisconsin Badgers
other 50 195.1× 615
Showing 20 of 53 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
/sports/ 43 50 1% 197.3× Bot Blocked
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/faq/ 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
/about/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 53 pages
learfield.com ×43
bigten.org ×43
wcha.com ×43
questionnaires.armssoftware.com ×43
uwbios.com ×43
bigtenplus.com ×43
buckyslockerroom.com ×43
opendorse.com ×43
🔄 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/uwbadgers.com

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

🔗 Similar education Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
uwbadgers.com (this site) 54 70 Nuxt.js 83.8× 0
ius.edu.bd 78 80 Custom / Proprietary 1.7× 0 Compare →
yuloo.com 78 80 Custom / Proprietary 1.7× 0 Compare →
usj.edu.mo 78 89 WordPress 6.8× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite uwbadgers.com 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 uwbadgers.com. 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": "Uwbadgers",
  "url": "https://uwbadgers.com",
  "logo": "https://uwbadgers.com/favicon.ico",
  "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": "Uwbadgers",
  "url": "https://uwbadgers.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://uwbadgers.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 1% 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 Uwbadgers?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Uwbadgers does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Uwbadgers work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Uwbadgers."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for uwbadgers.com:

Current Score
70
Projected Score
88
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 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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