rubyonrails.org 67 C
🛡️ SEO 39 🤖 GEO 75 ⚡ Perf 80 🏗️ Arch 76

rubyonrails.org — Global SEODiff Score 67/100

rubyonrails.org
📊

rubyonrails.org achieves a 66/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. With a 3.0× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

67
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (39) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Feb 23 Mar 15
🔔 Recent AI Indexing Activity
🔄 Mar 10 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)39 × 0.25 = 9.8
🤖 AI Readiness / GEO (40% weight)75 × 0.40 = 30.0
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)76 × 0.15 = 11.4
Weighted sum = 9.8 + 30.0 + 16.0 + 11.4
Global SEODiff Score = 67 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
25
Structure
avg 35
2
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #15735
+42 pts
Gap
AI (ACRI)
Top 43%
Score 66/100

rubyonrails.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 rubyonrails.org ranks here

Tech stackExpress
Industry
RenderingSSR
Schema coverage1 blocks
Token bloat3.0×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

39/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

72 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

176 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ 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 — Ruby on Rails: Accelerate your agents with convention over configuration
  • ✓ og:description — A full-stack web application framework written in Ruby, following the Model View Controller pattern, that includes everything you need to build modern database-backed web apps.
  • ✓ 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

75/100 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.

🚨

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 25/100 — Low
Structured Elements 13 elements (13 lists, 0 rows, 0 headers)
Total Words677
Raw Density1.9%
💡Low structure score (25/100). Your content appears as a wall of text with few structured HTML elements. You have 13 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 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

53
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

33%
🗑️ 67%
Useful Content (8.2 KB)Bloat (16.4 KB)
Token Bloat Ratio3.0× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage22 / 22 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

50 Entropy
Fair Token Bloat: Medium
Noise Ratio: 66.8% · SNR: 0.50 · Signal: 2086 / Noise: 4189 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 rubyonrails.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
This website provides a weekly digest of changes and releases within the Rails codebase, a popular Ruby on Rails web application framework.
Target Audience
Ruby on Rails developers, system administrators, and DevOps engineers involved in Rails development and maintenance.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Provides timely and curated updates on Rails development, reducing the time spent manually reviewing codebase changes.
📊 Content Depth
3/10
⚡ Key Pain Points
• Limited SEO depth
• Lack of structured data
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkExpress
AI-Readiness Score55/100
ServerGitHub.com
CDN
HTTP Status200
Load Time528 ms
Raw HTML Size24.5 KB
Visible Text Size8.2 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

528 ms
Acceptable — room for improvement

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

📦 Page Weight

480
DOM nodes
24 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → 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

76/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://rubyonrails.org/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

21
internal links
29
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 46/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for rubyonrails.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/rubyonrails.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=rubyonrails.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 133 pages · Deep-10

Homepage ACRI
46
Single-page score
+14
Subpages outperform homepage
Δ delta
Site-Wide ACRI
61
Avg across 133 pages · Range 0–90
Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
31928
Avg Bloat
9.8×
Page Type ACRI Token Bloat Words Status
https://rubyonrails.org/docs/case-studies/doximity
Doximity Case Study — Ruby on Rails
docs 90 2.8× 1286
https://rubyonrails.org/docs/case-studies/cookpad
Cookpad Case Study — Ruby on Rails
docs 90 3.4× 918
https://rubyonrails.org/world/2023/faq
Rails World - 2023 — Frequently Asked Questions
support 90 4.8× 1497
https://rubyonrails.org/world/2024/faq
Rails World - 2024 — Frequently Asked Questions
support 90 4.4× 1485
https://rubyonrails.org/security
Security Policy: Rails takes web security very seriously
trust 90 3.4× 528
https://rubyonrails.org/foundation/makandra
makandra
other 90 5.0× 503
https://rubyonrails.org/foundation/planet-argon
Planet Argon
pricing 90 4.2× 556
https://rubyonrails.org/foundation/shopify
Shopify
other 90 3.9× 616
https://rubyonrails.org/2004/12/31/escaping-java-but-not-its-thinking
Escaping Java but not its thinking
docs 85 7.7× 535
https://rubyonrails.org/2005/1/19/make-your-ta-da-list-today
Make your Ta-da list today
other 85 7.5× 513
https://rubyonrails.org/foundation
The Rails Foundation
pricing 85 6.4× 537 💰 Pricing
https://rubyonrails.org/blog/
Latest Rails News & Release Notes
blog 80 5.0× 416
https://rubyonrails.org/blog
Latest Rails News & Release Notes
blog 80 5.0× 412
https://rubyonrails.org/world/2025/faq/accessibility
Rails World 2025 - Amsterdam, NL
support 80 4.8× 478
https://rubyonrails.org/foundation/higher-pixels
Higher Pixels
other 80 4.6× 370
https://rubyonrails.org/foundation/intercom
Intercom
other 80 4.4× 420
https://rubyonrails.org/foundation/clio
Clio
other 80 4.8× 410
https://rubyonrails.org/foundation/judge_me
Judge.me
other 80 4.2× 441
https://rubyonrails.org/foundation/fleetio
Fleetio
other 80 4.7× 368
https://rubyonrails.org/foundation/gusto
Gusto
other 80 4.4× 496
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
/2005/ 58 60 0% 11.9× High JS Bloat
/2004/ 28 56 0% 13.2× High JS Bloat
/foundation/ 21 78 0% 5.9× High JS Bloat
/world/ 6 81 0% 5.4× High JS Bloat
/docs/ 4 72 0% 8.3× High JS Bloat
/blog/ 2 80 0% 5.0× Healthy
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/security/ 1 90 0% 3.4× Healthy
/integrations/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/conduct/ 1 55 0% 11.7× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/trademarks/ 1 75 0% 5.0× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 133 pages
merch.rubyonrails.org ×119
jobs.rubyonrails.org ×119
github.com ×119
dev.rubyonrails.com ×8
43things.com ×7
linkedin.com ×7
guides.rubyonrails.org ×6
youtube.com ×5
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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

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📊 Semantic Share of Voice

How often would an AI cite rubyonrails.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…

🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

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

Current Score
66
Projected Score
79
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

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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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