metmuseum.org 62 C
🛡️ SEO 53 🤖 GEO 62 ⚡ Perf 47 🏗️ Arch 100

metmuseum.org — Global SEODiff Score 62/100

metmuseum.org
📊

The AI-Readiness profile for metmuseum.org is strong: an ACRI of 71/100 places it ahead of 70% of domains in the index. Within the infrastructure vertical, this places metmuseum.org above the industry average of 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. The bloated 50.0× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. 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.

62
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 30 snapshots
Feb 22 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
📈 Mar 20 ACRI +2 (49→51)
🔄 Mar 16 Content change detected
🔄 Mar 9 Content change detected
🔄 Mar 7 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)53 × 0.25 = 13.2
🤖 AI Readiness / GEO (40% weight)62 × 0.40 = 24.8
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 13.2 + 24.8 + 9.4 + 15.0
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
41
Structure
avg 35
4
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.4%
Rank #3760
+30 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

metmuseum.org 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 metmuseum.org ranks here

Tech stackNext.js
RenderingSSR
Schema coverage2 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

53/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

30 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

100 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 5
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ 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 Metropolitan Museum of Art
  • ✓ og:description — The Met presents over 5,000 years of art from around the world for everyone to experience and enjoy.
  • ✓ 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

62/100 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 →
metmuseum.org
51
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 41/100 — Fair
Structured Elements 42 elements (42 lists, 0 rows, 0 headers)
Total Words834
Raw Density5.0%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
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
💡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.

📐 AI Efficiency Metrics Docs

39
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability39/100 — AI models can barely 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 (5.3 KB)Bloat (443.2 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage55 / 55 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 448.5 KB, but only 5.3 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: 1361 / Noise: 113458 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 metmuseum.org 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 Metropolitan Museum of Art provides access to a vast collection of art spanning 5,000 years and from around the
Target Audience
Art enthusiasts, researchers, students, and general public interested in art and culture.
Pricing Model
Free admission to the museum; online access to the collection is free.
🏆 Competitive Moat
Extensive and globally diverse art collection combined with a long history and significant cultural impact.
📊 Content Depth
5/10
⚡ Key Pain Points
• Limited SEO optimization for online collection resources
• Lack of structured data for online exhibits
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
ServerVercel
CDNvercel
HTTP Status200
Load Time1808 ms
Raw HTML Size448.5 KB
Visible Text Size5.3 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1808 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1123
DOM nodes
448 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate
  • ✗ CDN cache status
  • ✓ CDN detected → vercel

🔬 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://www.metmuseum.org/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

149
internal links
5
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 51/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for metmuseum.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/metmuseum.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=metmuseum.org" 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 23 pages · Deep-10

Homepage ACRI
51
Single-page score
-27
Severe hidden bloat
Δ delta
Site-Wide ACRI
25
Avg across 23 pages · Range 0–53
🔍
Hidden Bloat Detected

Homepage scores 51, but internal pages average only 25 — a -27-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
5501
Avg Bloat
113.0×
Page Type ACRI Token Bloat Words Status
https://www.metmuseum.org/perspectives
Perspectives - The Metropolitan Museum of Art
pricing 53 80.6× 607 💰 Pricing
https://www.metmuseum.org/about-the-met
About The Met - The Metropolitan Museum of Art
pricing 53 71.2× 504 💰 Pricing
https://www.metmuseum.org/met-publications
MetPublications - The Metropolitan Museum of Art
pricing 53 133.5× 1123 💰 Pricing
https://www.metmuseum.org/plan-your-visit
Plan Your Visit - The Metropolitan Museum of Art
pricing 52 92.9× 889 💰 Pricing
https://www.metmuseum.org/exhibitions
Exhibitions - The Metropolitan Museum of Art
pricing 52 128.9× 725 💰 Pricing
https://www.metmuseum.org/research-centers
Libraries and Research Centers - The Metropolitan Museum of Art
pricing 51 130.7× 251 💰 Pricing
https://www.metmuseum.org/support
Support - The Metropolitan Museum of Art
pricing 43 100.1× 325 💰 Pricing
https://www.metmuseum.org/essays/timeline-of-art-history
Heilbrunn Timeline of Art History - The Metropolitan Museum of Art
pricing 43 105.6× 290 💰 Pricing
https://www.metmuseum.org/press
Press - The Metropolitan Museum of Art
pricing 43 85.4× 270 💰 Pricing
https://www.metmuseum.org/opportunities
Opportunitites - The Metropolitan Museum of Art
pricing 33 193.6× 113 💰 Pricing
https://www.metmuseum.org/art/collection
The Met Collection - The Metropolitan Museum of Art
pricing 33 407.3× 124 💰 Pricing
https://www.metmuseum.org/departments
Departments - The Metropolitan Museum of Art
pricing 33 382.3× 148 💰 Pricing
https://www.metmuseum.org/exhibitions/past
Past Exhibitions - The Metropolitan Museum of Art
pricing 32 687.0× 132 💰 Pricing
https://metmuseum.org/pricing pricing 0 0.0× 0
https://metmuseum.org/about about 0 0.0× 0
https://metmuseum.org/products product 0 0.0× 0
https://metmuseum.org/features product 0 0.0× 0
https://metmuseum.org/docs docs 0 0.0× 0
https://metmuseum.org/blog blog 0 0.0× 0
https://metmuseum.org/case-studies social-proof 0 0.0× 0
Showing 20 of 23 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
/exhibitions/ 2 42 1% 407.9× Bot Blocked
/press/ 1 43 1% 85.4× Bot Blocked
/contact/ 1 0 0% 0.0× Low AI Readiness
/opportunities/ 1 33 1% 193.6× Bot Blocked
/about/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/research-centers/ 1 51 1% 130.7× Bot Blocked
/essays/ 1 43 1% 105.6× Bot Blocked
/support/ 1 43 1% 100.2× Bot Blocked
/integrations/ 1 0 0% 0.0× Low AI Readiness
/perspectives/ 1 53 1% 80.6× Bot Blocked
/about-the-met/ 1 53 1% 71.2× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/art/ 1 33 1% 407.3× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 23 pages
facebook.com ×13
pinterest.com ×13
instagram.com ×13
engage.metmuseum.org ×13
youtube.com ×13
x.com ×12
store.metmuseum.org ×12
maps.metmuseum.org ×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/metmuseum.org

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
metmuseum.org (this site) 51 71 Next.js 84.4× 2
armtec.ch 76 87 Next.js 8.0× 3 Compare →
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copartes.gt 76 15 Cloudflare Pages 1.3× 2 Compare →
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📊 Semantic Share of Voice

How often would an AI cite metmuseum.org 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…

🎭

Bait & Switch Delta

B 13 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

43
Homepage ACRI
44
Inner Avg ACRI
-1
ACRI Delta
60%
Homepage Ghost
62%
Inner Avg Ghost
22
Drift Score [?]
Worst Inner Pages
52 70% pricing https://www.metmuseum.org/exhibitions
52 70% pricing https://www.metmuseum.org/plan-your-visit
32 70% pricing https://www.metmuseum.org/exhibitions/past
🛡️

E-E-A-T Trust Signals

B 70/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
Address: 1000 Fifth Avenue New York, NY 10028 Become a Member or Patron Join Today Enjoy free admission, c
🔗

Citation Profile

15 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

98
Total Links
15
Unique Domains
7.5
Avg/Page
15%
Diversity
pinterest.com engage.metmuseum.org facebook.com youtube.com instagram.com x.com store.metmuseum.org maps.metmuseum.org artres.com maps.app.goo.gl
🏘️ Outbound Neighborhood Trust Avg Trust: 47.2

AI trust scores for the domains metmuseum.org links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to metmuseum.org. 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": "Metmuseum",
  "url": "https://metmuseum.org",
  "logo": "https://metmuseum.org/icon?61438e203065314d",
  "sameAs": []
}
</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 Metmuseum?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Metmuseum does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Metmuseum work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Metmuseum."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for metmuseum.org:

Current Score
71
Projected Score
85
Improvement
+14 pts
Add Organization schema +6 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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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