railway.app 66 C
🛡️ SEO 75 🤖 GEO 60 ⚡ Perf 59 🏗️ Arch 78

railway.app — Global SEODiff Score 66/100

railway.app
📊

railway.app shows strong AI visibility with an ACRI of 77/100, outperforming 86% of indexed domains. Within the developer vertical, this places railway.app 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 28.5× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Structured data coverage is solid at 3 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (59) is your bottleneck.
🎯 Top Fix: Reduce token bloat (28×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 4 Mar 21
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than railway.app?
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)75 × 0.25 = 18.8
🤖 AI Readiness / GEO (40% weight)60 × 0.40 = 24.0
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)78 × 0.15 = 11.7
Weighted sum = 18.8 + 24.0 + 11.8 + 11.7
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
12
Structure
avg 35
86
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.7%
Rank #7089
+14 pts
Gap
AI (ACRI)
Top 14%
Score 77/100

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

Why railway.app ranks here

Tech stackNext.js
Industrydeveloper
RenderingSSR
Schema coverage3 blocks
Token bloat28.5×

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

75/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

51 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

132 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✓ Canonical tag present → https://railway.com
  • ✓ 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 — Railway | The all-in-one intelligent cloud provider
  • ✓ og:description — Railway is a full-stack cloud for deploying web apps, servers, databases, and more with automatic scaling, monitoring, and security.
  • ✓ 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

60/100 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 →
railway.app
47
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 12/100 — Poor
Structured Elements 5 elements (5 lists, 0 rows, 0 headers)
Total Words1158
Raw Density0.4%
💡Low structure score (12/100). Your content appears as a wall of text with few structured HTML elements. You have 5 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 ✅ Present
Product / Service Schema ✅ Present
Total Schema Blocks3 blocks

Schema Coverage Map

4/7 schema types detected
✅ Organization
✅ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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

53
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostMedium (60/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

3%
🗑️ 97%
Useful Content (7.2 KB)Bloat (198.8 KB)
Token Bloat Ratio28.5× — Heavy

Multimodal Readiness

Visual Context50% Optimized for Vision
Image Alt Coverage31 / 62 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 206.0 KB, but only 7.2 KB is text. 3% useful / 97% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (28.5×) 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: 96.5% · SNR: 0.04 · Signal: 1851 / Noise: 50892 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 railway.app 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
Railway provides a cloud computing stack designed to simplify software development and deployment for distributed teams.
Target Audience
Software engineers, product managers, DevOps engineers, and growth marketers.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Focus on developer experience and streamlined deployment workflows for cloud applications.
📊 Content Depth
4/10
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Serverrailway-edge
CDN
HTTP Status200
Load Time559 ms
Raw HTML Size206.0 KB
Visible Text Size7.2 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

559 ms
Acceptable — room for improvement

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

📦 Page Weight

1284
DOM nodes
206 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → s-maxage=60, stale-while-revalidate=31535940
  • ✗ 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

78/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

35
internal links
17
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 47/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for railway.app
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/railway.app" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=railway.app" 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 40 pages · Deep-10

Homepage ACRI
47
Single-page score
-22
Severe hidden bloat
Δ delta
Site-Wide ACRI
25
Avg across 40 pages · Range 0–61
🔍
Hidden Bloat Detected

Homepage scores 47, but internal pages average only 25 — a -22-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
3713
Avg Bloat
832.3×
RAG Fractures [?]
29
⚠️
29 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 29 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://railway.app/pricing
Pricing
pricing 61 35.4× 1587 ⚠️ RAG Fracture
https://railway.app/features
Features
product 61 86.7× 739 ⚠️ RAG Fracture
https://railway.app/docs
Railway Docs
pricing 61 65.7× 509 ⚠️ RAG Fracture
https://railway.app/about
About
about 51 217.5× 467 ⚠️ RAG Fracture
https://railway.app/changelog/2023-02-10-talk-to-an-engineer
Changelog #0120
docs 31 1183.7× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2023-02-24-metrics-update
Changelog #0122
docs 31 1114.5× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2024-10-11-retreat-v6
Changelog #0207
docs 31 1140.2× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2023-04-14-pr-environments-verification
Changelog #0129
docs 31 1140.1× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2022-12-16-public-api-priority-boarding
Changelog #0112
docs 31 1230.9× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2021-06-25
Changelog #0035
docs 31 1107.6× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2024-11-29-trusted-domains
Changelog #0214
docs 31 1187.2× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2024-10-25-faster-volume-migrations
Changelog #0209
docs 31 1141.8× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2023-12-08-staged-changes-pb
Changelog #0163
docs 31 1211.8× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2022-01-07
Changelog #0063
docs 31 1067.0× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2020-11-13
Changelog #0005
docs 31 1001.8× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2022-08-26
Changelog #0096
docs 31 1116.8× 16 ⚠️ RAG Fracture
https://railway.app/support
Railway Help Station
support 31 777.3× 11
https://railway.app/changelog/2025-09-27-last-chance-nits
Changelog #0205
docs 28 1463.8× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2024-05-10-railway-station
Changelog #0185
pricing 28 1382.2× 16 ⚠️ RAG Fracture
https://railway.app/changelog/2024-05-17-new-edge-proxy-beta
Changelog #0186
docs 28 1765.6× 16 ⚠️ RAG Fracture
Showing 20 of 40 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
/changelog/ 25 29 1% 1284.4× Bot Blocked
/get-started/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 51 1% 217.5× Bot Blocked
/solutions/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 61 1% 35.4× Bot Blocked
/faq/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 61 1% 86.7× Bot Blocked
/products/ 1 0 0% 0.0× Low AI Readiness
/trust/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 61 1% 65.7× Bot Blocked
/blog/ 1 0 0% 0.0× Low AI Readiness
/demo/ 1 0 0% 0.0× Low AI Readiness
/support/ 1 31 1% 777.3× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 40 pages
discord.gg ×29
blog.railway.com ×29
station.railway.com ×29
github.com ×29
docs.railway.com ×29
status.railway.com ×28
shop.railway.com ×28
trust.railway.com ×28
🔄 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/railway.app

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

How often would an AI cite railway.app 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.

61
Homepage ACRI
35
Inner Avg ACRI
+26
ACRI Delta
60%
Homepage Ghost
69%
Inner Avg Ghost
100
Drift Score [?]
Worst Inner Pages
28 80% docs https://railway.app/changelog/2024-11-08-railway-cli-updates
28 80% docs https://railway.app/changelog/2024-11-15-welcome-to-railway-dot-com
28 80% pricing https://railway.app/changelog/2024-05-10-railway-station
🛡️

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

13 DOMAINS

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

136
Total Links
13
Unique Domains
9.1
Avg/Page
10%
Diversity
station.railway.com discord.gg github.com docs.railway.com status.railway.com trust.railway.com blog.railway.com twitter.com shop.railway.com x.com
🏘️ Outbound Neighborhood Trust Avg Trust: 22.4

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

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to railway.app. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 3% 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 Railway?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Railway does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Railway work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Railway."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for railway.app:

Current Score
77
Projected Score
85
Improvement
+8 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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