vam.ac.uk 71 B
🛡️ SEO 46 🤖 GEO 82 ⚡ Perf 65 🏗️ Arch 88

vam.ac.uk — Global SEODiff Score 71/100

vam.ac.uk
📊

The AI-Readiness profile for vam.ac.uk is strong: an ACRI of 73/100 places it ahead of 75% of domains in the index. Within the infrastructure vertical, this places vam.ac.uk above the industry average of 57 —, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. The 5.5× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

71
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (46) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 25 snapshots
Mar 4 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
🔄 Mar 21 Content change detected
🔄 Mar 20 Content change detected
🔄 Mar 19 Content change detected
🔄 Mar 17 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)82 × 0.40 = 32.8
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)88 × 0.15 = 13.2
Weighted sum = 11.5 + 32.8 + 13.0 + 13.2
Global SEODiff Score = 71 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
66
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.9%
Rank #9437
+25 pts
Gap
AI (ACRI)
Top 25%
Score 73/100

vam.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 vam.ac.uk ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat5.5×

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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

74 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

156 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 17
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.vam.ac.uk/
  • ✓ 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 — The V&A is a family of museums dedicated to the power of creativity · V&A
  • ✓ og:description — The V&A's mission is to champion design and creativity in all its forms, advance cultural knowledge, and inspire makers, creators and innovators everywhere.
  • ✓ 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

82/100 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 infrastructure sector, safely.co.jp (ACRI: 90) 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 →
vam.ac.uk
61
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. 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 66/100 — Good
Structured Elements 116 elements (116 lists, 0 rows, 0 headers)
Total Words896
Raw Density12.9%

🏷️ 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

63
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability63/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

18%
🗑️ 82%
Useful Content (24.1 KB)Bloat (109.4 KB)
Token Bloat Ratio5.5× — Normal

Multimodal Readiness

Visual Context72% Optimized for Vision
Image Alt Coverage31 / 43 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: 81.9% · SNR: 0.22 · Signal: 6169 / Noise: 28001 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 vam.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 website provides technical documentation for configuring Apache2 on Ubuntu systems, detailing the server's default configuration and providing instructions for customization and troubleshooting.
Target Audience
System administrators, Ubuntu server users, developers, and DevOps engineers
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Comprehensive documentation and detailed configuration guidance for Apache2 on Ubuntu.
📊 Content Depth
6/10
⚡ Key Pain Points
• Lack of clear instructions for custom document roots
• Complex configuration file structure
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time585 ms
Raw HTML Size133.5 KB
Visible Text Size24.1 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

585 ms
Acceptable — room for improvement

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

📦 Page Weight

1010
DOM nodes
134 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=0, private, 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

88/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.vam.ac.uk/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

105
internal links
6
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 61/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for vam.ac.uk
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/vam.ac.uk" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=vam.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 164 pages · Deep-10

Homepage ACRI
61
Single-page score
+5
Consistent readability
Δ delta
Site-Wide ACRI
67
Avg across 164 pages · Range 0–90
Topical Cohesion
11%
Topical Drift
TF-IDF cosine similarity
Total Words
175342
Avg Bloat
22.1×
Page Type ACRI Token Bloat Words Status
https://www.vam.ac.uk/blog/digital/mobile-wifi-screens
What's it like for Museum visitors to connect to Wi-Fi on a mobile phone? • V&A Blog
pricing 90 4.8× 4674 💰 Pricing
https://www.vam.ac.uk/articles/making-her-self-up
Making her self up – Frida Kahlo's cosmetics · V&A
blog 90 8.6× 1576
https://www.vam.ac.uk/articles/photographing-frida-kahlo
Photographing Frida Kahlo · V&A
blog 90 7.7× 1954
https://www.vam.ac.uk/articles/introducing-mary-quant
Introducing Mary Quant · V&A
blog 90 8.6× 1672
http://www.vam.ac.uk/content/articles/a/a-notation-knife/
Renaissance music · V&A
blog 85 7.6× 1852
https://www.vam.ac.uk/blog/projects/object-pitch-day-7-19-november-2014
Object Pitch Day 7 – 19 November 2014 • V&A Blog
pricing 85 5.3× 4203 💰 Pricing
https://www.vam.ac.uk/blog/posters-stories-va-collection/olympic-posters-dissenting-voices
Olympic Protest • V&A Blog
pricing 85 8.3× 2057 💰 Pricing
https://www.vam.ac.uk/blog/digital/mw2014-digital-arrival-and-unpredictability
Museums and the Web 2014: Digital arrival, unpredictability and churn • V&A Blog
pricing 85 8.7× 2040 💰 Pricing
http://www.vam.ac.uk/content/articles/i/interactive-mans-beige-wool-suit-1775-85/index.html
The new V&A website • V&A Blog
pricing 85 7.0× 7144 💰 Pricing
https://www.vam.ac.uk/articles/a-z-of-ceramics
An A–Z of Ceramics · V&A
blog 85 6.2× 4781
http://www.vam.ac.uk/content/articles/i/interactive-silk-mantua-gown-1710-20/index.html
The new V&A website • V&A Blog
pricing 85 7.0× 7144 💰 Pricing
https://www.vam.ac.uk/blog/museum-life/maqdala-1868
Maqdala 1868 • V&A Blog
pricing 85 8.2× 2806 💰 Pricing
https://www.vam.ac.uk/blog/caring-for-our-collections/a-new-home-for-neptune-and-triton-in-the-europe-1600-1815-gallery
A new home for Neptune and Triton in the Europe 1600-1815 Gallery • V&A Blog
pricing 85 9.4× 2466 💰 Pricing
https://www.vam.ac.uk/articles/embroidery-styles-an-illustrated-guide
Embroidery styles: an illustrated guide · V&A
pricing 85 6.3× 2913 💰 Pricing
https://www.vam.ac.uk/articles/peter-rabbit-the-tale-of-the-tale
Peter Rabbit: the tale of 'The Tale' · V&A
blog 85 9.9× 1251
http://www.vam.ac.uk/content/articles/t/the-dickens-manuscripts/
Charles Dickens · V&A
blog 85 9.7× 1717
https://vam.ac.uk/features
Apache2 Ubuntu Default Page: It works
product 82 4.4× 516
https://www.vam.ac.uk/articles/the-art-of-the-ocean-liner-poster
The art of the ocean liner travel poster · V&A
blog 80 10.2× 1491
http://www.vam.ac.uk/content/articles/t/three-watercolours-from-the-paper-museum-of-cassiano-dal-pozzo/index.html
Watercolours from the Paper Museum of Cassiano dal Pozzo · V&A
blog 80 14.5× 838
https://www.vam.ac.uk/articles/sew-your-own-mexican-style-huipil
Sew your own: Mexican-style huipil · V&A
blog 80 17.9× 690
Showing 20 of 100 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
/blog/ 74 70 0% 21.6× High JS Bloat
/content/ 48 70 0% 24.8× High JS Bloat
/articles/ 29 71 0% 20.7× High JS Bloat
/dundee/ 4 48 1% 56.6× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 67 0% 11.7× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 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
/about/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 82 0% 4.4× Healthy
🔄 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/vam.ac.uk

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📊 Semantic Share of Voice

How often would an AI cite vam.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 vam.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://vam.ac.uk",
  "logo": "https://vam.ac.uk/assets/favicon/apple-touch-icon-57x57-5a3088679dcbcba5603191dc73f2543e5bb152ec7efe5e62931a4b180a63f8a0.png",
  "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://vam.ac.uk",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://vam.ac.uk/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 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 vam.ac.uk:

Current Score
73
Projected Score
89
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

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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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