nodejs.org 50 D
🛡️ SEO 50 🤖 GEO 47 ⚡ Perf 47 🏗️ Arch 65

nodejs.org — Global SEODiff Score 50/100

nodejs.org
📊

At 62/100, nodejs.org falls in the moderate bracket of AI-Readiness, suggesting its content is partially accessible to AI systems but not fully optimized. Within the developer vertical, this places nodejs.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. Heavy markup overhead (50.0× bloat) forces AI systems to wade through excess code before finding useful information. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

50
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — AI Readiness (47) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (253×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Mar 8 Mar 21
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than nodejs.org?
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)47 × 0.40 = 18.8
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)65 × 0.15 = 9.8
Weighted sum = 12.5 + 18.8 + 9.4 + 9.8
Global SEODiff Score = 50 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
0
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.2%
Rank #2416
+49 pts
Gap
AI (ACRI)
Top 49%
Score 62/100

nodejs.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 nodejs.org ranks here

Tech stackNext.js
Industrydeveloper
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

37 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

158 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✓ Canonical tag present → https://nodejs.org/en
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-GB
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Node.js — Run JavaScript Everywhere
  • ✓ og:description — Node.js® is a free, open-source, cross-platform JavaScript runtime environment that lets developers create servers, web apps, command line tools and scripts.
  • ✓ 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

47/100 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
nodejs.org
26
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 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)
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 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words301
Raw Density0.0%
💡Low structure score (0/100). Your content appears as a wall of text with few structured HTML elements. You have 0 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ 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

25
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability25/100 — 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 (1.8 KB)Bloat (450.4 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual ContextNo images detected
Image Alt Coverage0 / 0 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 452.2 KB, but only 1.8 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: 99.6% · SNR: 0.00 · Signal: 457 / Noise: 115294 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…

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1438 ms
Raw HTML Size452.2 KB
Visible Text Size1.8 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1438 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

820
DOM nodes
452 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

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

🔬 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

65/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

15
internal links
31
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-GB
  • ✓ 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 26/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for nodejs.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/nodejs.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=nodejs.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 1010 pages · Deep-10

Homepage ACRI
26
Single-page score
-15
Moderate hidden bloat
Δ delta
Site-Wide ACRI
11
Avg across 1010 pages · Range 0–76
🔍
Hidden Bloat Detected

Homepage scores 26, but internal pages average only 11 — a -15-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
2%
Topical Drift
TF-IDF cosine similarity
Total Words
252442
Avg Bloat
36.2×
RAG Fractures [?]
1
⚠️
1 RAG-Chunking Fracture Detected

Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://nodejs.org/docs
Index of /docs/
docs 76 7.4× 2617
https://nodejs.org/en/blog/uncategorized/10-lts-to-12-lts
Node.js — The Difference Between Node.js 10 LTS and Node.js 12 LTS
pricing 63 10.7× 64303 💰 Pricing
https://nodejs.org/en/learn/asynchronous-work/dont-block-the-event-loop
Node.js — Don't Block the Event Loop (or the Worker Pool)
blog 55 20.2× 5511
https://nodejs.org/en/blog/vulnerability/january-2026-dos-mitigation-async-hooks
Node.js — Mitigating Denial-of-Service Vulnerability from Unrecoverable Stack Space Exhaustion for React, Next.js, and APM Users
pricing 55 25.4× 3426 💰 Pricing
https://nodejs.org/en/learn/manipulating-files/working-with-different-filesystems
Node.js — How to work with Different Filesystems
blog 55 20.9× 2249
https://nodejs.org/en/learn/getting-started/security-best-practices
Node.js — Security Best Practices
pricing 55 24.2× 3305 💰 Pricing
https://nodejs.org/en/blog/uncategorized/profiling-node-js
Node.js — Profiling Node.js
blog 52 85.9× 687
https://nodejs.org/en/learn/manipulating-files/writing-files-with-nodejs
Node.js — Writing files with Node.js
pricing 52 104.0× 872 💰 Pricing
https://nodejs.org/en/learn/diagnostics/poor-performance/using-linux-perf
Node.js — Using Linux Perf
blog 52 76.2× 578
https://nodejs.org/en/learn/test-runner/mocking
Node.js — Mocking in tests
pricing 52 66.6× 1854 💰 Pricing
https://nodejs.org/en/learn/typescript/introduction
Node.js — Introduction to TypeScript
blog 52 54.6× 965
https://nodejs.org/en/learn/typescript/publishing-a-ts-package
Node.js — Publishing a TypeScript package
blog 52 39.9× 1608
https://nodejs.org/en/learn/typescript/run-natively
Node.js — Running TypeScript Natively
blog 52 78.0× 536
https://nodejs.org/en/learn/http/anatomy-of-an-http-transaction
Node.js — Anatomy of an HTTP Transaction
blog 52 80.1× 3109
https://nodejs.org/en/learn/typescript/run
Node.js — Running TypeScript with a runner
blog 52 75.8× 551
https://nodejs.org/en/learn/typescript/transpile
Node.js — Running TypeScript code using transpilation
blog 52 69.6× 777
https://nodejs.org/en/learn/test-runner/collecting-code-coverage
Node.js — Collecting code coverage in Node.js
pricing 52 66.4× 1379 💰 Pricing
https://nodejs.org/en/learn/manipulating-files/working-with-file-descriptors-in-nodejs
Node.js — Working with file descriptors in Node.js
pricing 52 99.5× 857 💰 Pricing
https://nodejs.org/en/learn/diagnostics/memory
Node.js — Memory
blog 52 72.9× 565
https://nodejs.org/en/learn/test-runner/using-test-runner
Node.js — Using Node.js's test runner
blog 52 71.9× 2462
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
/en/ 490 22 0% 69.5× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 76 0% 7.4× High JS Bloat
/about/ 1 52 1% 82.7× Bot Blocked
/features/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 32 1% 2365.6× Bot Blocked
/products/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔄 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/nodejs.org

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
nodejs.org (this site) 26 62 Next.js 253.0× 0
incabus.net 51 76 Next.js 66.8× 0 Compare →
amanandhiscave.com 51 75 Next.js 76.2× 2 Compare →
qz.io 51 70 Custom / Proprietary 6.2× 0 Compare →
famillecollet.com 51 67 Custom / Proprietary 3.0× 0 Compare →
venividi.ru 51 71 WordPress 6.1× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite nodejs.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

F 15 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.

52
Homepage ACRI
35
Inner Avg ACRI
+17
ACRI Delta
70%
Homepage Ghost
66%
Inner Avg Ghost
100
Drift Score [?]
Worst Inner Pages
32 70% pricing https://nodejs.org/en/blog/vulnerability/openssl-fixes-in-regular-releases-jun2022
32 70% blog https://nodejs.org/blog
32 70% blog https://nodejs.org/en/blog/weekly/weekly-update2015-06-05
🛡️

E-E-A-T Trust Signals

F 15/100

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
🔗

Citation Profile

40 DOMAINS

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

236
Total Links
40
Unique Domains
15.7
Avg/Page
17%
Diversity
terms-of-use.openjsf.org privacy-policy.openjsf.org openjsf.org twitter.com linkedin.com slack-invite.openjsf.org discord.gg social.lfx.dev training.linuxfoundation.org trademark-policy.openjsf.org
🏘️ Outbound Neighborhood Trust Avg Trust: 27.3

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

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to nodejs.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": "Nodejs",
  "url": "https://nodejs.org",
  "logo": "https://nodejs.org/static/images/favicons/favicon.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": "Nodejs",
  "url": "https://nodejs.org",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://nodejs.org/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 Nodejs?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Nodejs does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Nodejs work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Nodejs."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
62
Projected Score
80
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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