sunderland.ac.uk 61 C
🛡️ SEO 50 🤖 GEO 53 ⚡ Perf 68 🏗️ Arch 93

sunderland.ac.uk — Global SEODiff Score 61/100

sunderland.ac.uk
📊

sunderland.ac.uk shows strong AI visibility with an ACRI of 68/100, outperforming 62% of indexed domains. In the education sector, sunderland.ac.uk outperforms the average (57), suggesting strong competitive positioning in AI search. A ghost ratio of 30% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. A 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. 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 (50) is your bottleneck.
🎯 Top Fix: Reduce token bloat (157×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 3, 2026 · 📋 API
📈 ACRI Trend 17 snapshots
Feb 22 Mar 3
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than sunderland.ac.uk?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)53 × 0.40 = 21.2
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 12.5 + 21.2 + 13.6 + 13.9
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
84
Rendering
avg 93
58
Structure
avg 36
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #57972
+33 pts
Gap
AI (ACRI)
Top 38%
Score 68/100

sunderland.ac.uk 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 sunderland.ac.uk ranks here

Tech stackReact
Industryeducation
RenderingHybrid
Schema coverage1 blocks
Token bloat50×+

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

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

59 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

155 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 4
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.sunderland.ac.uk/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — The University of Sunderland
  • ✓ og:description — The University of Sunderland is internationally known for quality teaching, world-leading research and an international reputation for academic excellence.
  • ✓ 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

53/100 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 →
sunderland.ac.uk
43
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.

👻
Shadow Content Detected: 30% of your page token budget is in non-rendered regions (JavaScript-dependent content that AI crawlers may not process). Combined with 156.6x token bloat, AI models are using most of their context window on noise instead of your real content. This dramatically increases hallucination probability — models fill the gap with made-up facts.
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 30%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 58/100 — Fair
Structured Elements 43 elements (43 lists, 0 rows, 0 headers)
Total Words432
Raw Density9.9%

🏷️ Schema Health Docs

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

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

40
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability40/100 — AI models can partially extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (2.7 KB)Bloat (412.6 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage9 / 9 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 415.2 KB, but only 2.7 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: 99.4% · SNR: 0.01 · Signal: 679 / Noise: 105622 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 sunderland.ac.uk 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 SaaS platform facilitates collaborative project management for distributed teams, enabling streamlined sprint planning and resource optimization through AI-powered insights.
Target Audience
Project managers, product teams, and CTOs involved in agile software development and team collaboration.
Pricing Model
Not specified - likely tiered subscription model based on team size and features.
🔗 Integration Partners
SlackGitHubJira
🏆 Competitive Moat
AI-powered sprint planning with real-time resource optimization and predictive analytics, providing a significant advantage over traditional project management tools.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkReact
AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time611 ms
Raw HTML Size415.2 KB
Visible Text Size2.7 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

611 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

405
DOM nodes
415 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://sunderland.ac.uk/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

30
internal links
8
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 43/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for sunderland.ac.uk
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/sunderland.ac.uk" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=sunderland.ac.uk" 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 62 pages · Deep-10

Homepage ACRI
43
Single-page score
+2
Consistent readability
Δ delta
Site-Wide ACRI
45
Avg across 62 pages · Range 29–57
Topical Cohesion
13%
Topical Drift
TF-IDF cosine similarity
Total Words
24997
Avg Bloat
316.8×
Page Type ACRI Token Bloat Words Status
https://www.sunderland.ac.uk/about/academic-staff/adelle-hulsmeier
Adelle Hulsmeier | The University of Sunderland
pricing 57 34.9× 2541 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/adam-mcnall
Adam McNall | The University of Sunderland
pricing 57 141.4× 538 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/akoche-ejeh
Akoche Ejeh | The University of Sunderland
pricing 57 141.3× 540 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/alexandra-moschovi
Alexandra Moschovi | The University of Sunderland
pricing 57 57.8× 1411 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/amal-ali-elkordy
Amal Ali Elkordy | The University of Sunderland
pricing 57 31.9× 2712 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/amirah-mazlan
Amirah Mazlan | The University of Sunderland
pricing 57 140.4× 549 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/allison-abbott
Allison Abbott | The University of Sunderland
pricing 57 148.9× 509 💰 Pricing
https://sunderland.ac.uk/about
About the University | The University of Sunderland
pricing 49 76.2× 1321 💰 Pricing
https://www.sunderland.ac.uk/about
About the University | The University of Sunderland
pricing 49 76.2× 1321 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/adrian-morris
Adrian Morris | The University of Sunderland
pricing 47 361.7× 209 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/anastasia-trebacz
Anastasia Trebacz | The University of Sunderland
pricing 47 220.6× 345 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/andrea-brown
Andrea Brown | The University of Sunderland
pricing 47 321.9× 232 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/adrian-moore
Adrian Moore | The University of Sunderland
pricing 47 183.1× 419 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/abbas-alkhidir
Abbas Alkhidir | The University of Sunderland
pricing 47 282.2× 265 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/abbie-riley
Abbie Riley | The University of Sunderland
pricing 47 170.9× 442 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/abisola-fasuhanmi
Abisola Fasuhanmi | The University of Sunderland
pricing 47 337.9× 221 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/adam-oxberry
Adam Oxberry | The University of Sunderland
pricing 47 264.4× 284 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/adam-moat
Adam Moat | The University of Sunderland
pricing 47 308.3× 242 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/aimee-kibondo
Aimee Kibondo | The University of Sunderland
pricing 47 309.6× 242 💰 Pricing
https://www.sunderland.ac.uk/about/academic-staff/alex-hope
Alex Hope | The University of Sunderland
pricing 47 162.9× 468 💰 Pricing
Showing 20 of 62 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
/about/ 62 45 1% 316.9× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 62 pages
london.sunderland.ac.uk ×62
evision.sunderland.ac.uk ×62
sunderland.edu.hk ×62
instagram.com ×62
youtube.com ×62
sunderlandac.sharepoint.com ×62
jobs.sunderland.ac.uk ×62
facebook.com ×62
🔄 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/sunderland.ac.uk

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

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Domain ACRI AI Score Tech Stack Token Bloat Schema
sunderland.ac.uk (this site) 43 68 React 156.6× 1
esei.uvigo.es 68 83 WordPress 6.2× 1 Compare →
cis.org.au 68 90 WordPress 11.3× 1 Compare →
mackenzie.br 68 84 Express 7.8× 1 Compare →
irma.ac.in 68 82 Custom / Proprietary 3.6× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite sunderland.ac.uk 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 sunderland.ac.uk. 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": "Ac",
  "url": "https://sunderland.ac.uk",
  "logo": "https://sunderland.ac.uk/_83dEUg_97c0b4e8-b89c-494b-bfda-48975f240d1e/static/icon/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": "Ac",
  "url": "https://sunderland.ac.uk",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://sunderland.ac.uk/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 0% 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 Ac?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Ac does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Ac work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Ac."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for sunderland.ac.uk:

Current Score
68
Projected Score
86
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