xmu.edu.cn 59 D
🛡️ SEO 20 🤖 GEO 83 ⚡ Perf 53 🏗️ Arch 70

xmu.edu.cn — Global SEODiff Score 59/100

xmu.edu.cn
📊

The AI-Readiness profile for xmu.edu.cn is strong: an ACRI of 78/100 places it ahead of 88% of domains in the index. Within the infrastructure vertical, this places xmu.edu.cn above the industry average of 57 —, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The token bloat ratio sits at a lean 2.2×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. 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.

59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (20) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 23 Feb 26
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than xmu.edu.cn?
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)20 × 0.25 = 5.0
🤖 AI Readiness / GEO (40% weight)83 × 0.40 = 33.2
⚡ Performance (20% weight)53 × 0.20 = 10.6
🏗️ Architecture & Trust (15% weight)70 × 0.15 = 10.5
Weighted sum = 5.0 + 33.2 + 10.6 + 10.5
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
89
Structure
avg 36
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #25365
+10 pts
Gap
AI (ACRI)
Top 12%
Score 78/100

xmu.edu.cn shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why xmu.edu.cn ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat2.2×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

20/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

12 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → zh
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✗ twitter:card
📐 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

83/100 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 →
xmu.edu.cn
64
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 89/100 — Excellent
Structured Elements 123 elements (123 lists, 0 rows, 0 headers)
Total Words513
Raw Density24.0%

🏷️ 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

71
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability71/100 — AI models can easily 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

45%
🗑️ 55%
Useful Content (56.4 KB)Bloat (66.6 KB)
Token Bloat Ratio2.2× — Lean

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 62 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 0% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

70 Entropy
Fair Token Bloat: Medium
Noise Ratio: 54.1% · SNR: 0.85 · Signal: 14446 / Noise: 17046 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of xmu.edu.cn 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
A project management platform designed for distributed teams, offering AI-powered sprint planning and real-time resource optimization to enhance productivity and streamline workflows.
Target Audience
Engineering managers, product managers, and CTOs involved in managing remote teams and complex projects.
Pricing Model
Tiered subscription model: Free plan with limited features, paid plans starting at $10/user/month, with options for larger teams and advanced functionality.
🔗 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
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-01 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time1638 ms
Raw HTML Size123.0 KB
Visible Text Size56.4 KB

Performance & Speed

53/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1638 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1403
DOM nodes
123 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, 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

70/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

248
internal links
22
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 → zh
  • ✓ 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 64/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for xmu.edu.cn
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/xmu.edu.cn" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=xmu.edu.cn" 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 76 pages · Deep-10

Homepage ACRI
64
Single-page score
-23
Severe hidden bloat
Δ delta
Site-Wide ACRI
42
Avg across 76 pages · Range 39–42
🔍
Hidden Bloat Detected

Homepage scores 64, but internal pages average only 42 — a -23-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
6852
Avg Bloat
55.2×
Page Type ACRI Token Bloat Words Status
http://www.xmu.edu.cn/info/1102/37784.htm
厦门大学国际学院-厦门大学
other 42 51.4× 87
http://www.xmu.edu.cn/info/1012/1129.htm
图书馆-厦门大学
other 42 50.1× 86
http://www.xmu.edu.cn/info/1057/1184.htm
医学院李炜教授团队与分子影像及转化医学中心刘刚教授团队跨学科联合开发角膜病治疗新技术-厦门大学
other 42 52.8× 104
http://www.xmu.edu.cn/info/1058/1613.htm
《哥德巴赫猜想》-厦门大学
other 42 49.4× 87
http://www.xmu.edu.cn/info/1131/9931.htm
《答卷》第一篇:从“实”字看这一年的党建-厦门大学
other 42 57.6× 71
http://www.xmu.edu.cn/info/1121/1378.htm
大公报专文:碧波鼓浪汇香江 南强智荟创发展——厦门大学与香港的校地情缘-厦门大学
other 42 74.5× 137
http://www.xmu.edu.cn/info/1057/10271.htm
戴李宗教授团队建立共价有机框架材料动态键锁定新方法-厦门大学
other 42 45.7× 107
http://www.xmu.edu.cn/info/1102/37824.htm
厦门大学建筑与土木工程学院-厦门大学
other 42 51.6× 87
http://www.xmu.edu.cn/info/1102/37624.htm
厦门大学药学院-厦门大学
other 42 52.5× 87
http://www.xmu.edu.cn/info/1012/1123.htm
漳州校区远眺-厦门大学
other 42 50.1× 86
http://www.xmu.edu.cn/info/1102/37674.htm
厦门大学海洋与海岸带发展研究院-厦门大学
other 42 52.1× 87
http://www.xmu.edu.cn/info/1058/1614.htm
《遥望海天月》-厦门大学
other 42 48.8× 88
http://www.xmu.edu.cn/info/1054/9911.htm
教育部报道我校多措并举做好毕业生就业工作-厦门大学
other 42 63.1× 82
http://www.xmu.edu.cn/info/1102/37874.htm
厦门大学经济学院-厦门大学
other 42 51.6× 87
http://www.xmu.edu.cn/info/1102/37944.htm
厦门大学数学科学学院-厦门大学
other 42 51.4× 87
http://www.xmu.edu.cn/info/1102/37884.htm
厦门大学外文学院-厦门大学
other 42 51.2× 87
http://www.xmu.edu.cn/info/1012/1140.htm
凤凰花开-厦门大学
other 42 50.1× 86
http://www.xmu.edu.cn/info/1121/1851.htm
南方日报专文:垂杨紫陌 碧海蓝天——厦门大学与广东的百年情深-厦门大学
other 42 65.6× 124
http://www.xmu.edu.cn/info/1056/1394.htm
大公报专文:碧波鼓浪汇香江 南强智荟创发展——厦门大学与香港的校地情缘-厦门大学
other 42 80.6× 124
http://www.xmu.edu.cn/info/1131/46564.htm
【奋进|第九期】围绕建设世界一流大学,开拓创新选拔优质生源-厦门大学
other 42 58.5× 71
Showing 20 of 76 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
/info/ 76 42 0% 55.2× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 76 pages
xsc.xmu.edu.cn ×76
zsb.xmu.edu.cn ×76
ice.xmu.edu.cn ×76
jwc.xmu.edu.cn ×76
zcjy.xmu.edu.cn ×76
std.xmu.edu.cn ×76
map.xmu.edu.cn ×76
nec.xmu.edu.cn ×76
🔄 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/xmu.edu.cn

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

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to xmu.edu.cn. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
xmu.edu.cn (this site) 64 78 Custom / Proprietary 2.2× 0
violinsetc.com 89 86 Custom / Proprietary 2.2× 1 Compare →
safescan.com 86 87 Custom / Proprietary 1.9× 5 Compare →
churchfind.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
78
Projected Score
91
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 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