cloud.gov 72 B
🛡️ SEO 46 🤖 GEO 78 ⚡ Perf 80 🏗️ Arch 90

cloud.gov — Global SEODiff Score 72/100

cloud.gov
📊

At 67/100, the ACRI for cloud.gov indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the government vertical, this places cloud.gov above the industry average of 57 —, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. The token bloat ratio sits at a lean 4.1×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

72
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (46) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
Does your site score higher than cloud.gov?
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)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)90 × 0.15 = 13.5
Weighted sum = 11.5 + 31.2 + 16.0 + 13.5
Global SEODiff Score = 72 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
37
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #16265
+40 pts
Gap
AI (ACRI)
Top 41%
Score 67/100

cloud.gov 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 cloud.gov ranks here

Tech stackCustom / Proprietary
Industrygovernment
RenderingSSR
Schema coverage0 blocks
Token bloat4.1×

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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

84 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

118 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 9
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://cloud.gov/
  • ✓ 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 — Faster, easier, and more secure digital services for government agencies | Cloud.gov
  • ✓ og:description — A platform-as-a-service built for government. Deploy secure, compliant sites and apps without managing infrastructure.
  • ✓ 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

78/100 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 government sector, gep.com (ACRI: 83) 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 →
cloud.gov
52
Your ACRI Score
83
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. gep.com has schema coverage of 3 blocks and uses Drupal. 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 37/100 — Low
Structured Elements 42 elements (42 lists, 0 rows, 0 headers)
Total Words1015
Raw Density4.1%
💡Low structure score (37/100). Your content appears as a wall of text with few structured HTML elements. You have 42 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

56
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability56/100 — 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

24%
🗑️ 76%
Useful Content (7.7 KB)Bloat (23.6 KB)
Token Bloat Ratio4.1× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage8 / 8 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

23 Entropy
Poor Token Bloat: High
Noise Ratio: 75.3% · SNR: 0.33 · Signal: 1981 / Noise: 6046 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 cloud.gov 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
Cloud.gov provides a straightforward and predictable approach to deploying and scaling cloud services for federal agencies, eliminating RFP processes and
Target Audience
Federal government agencies, IT managers, system administrators, and digital teams.
Pricing Model
Tiered annual pricing based on agency needs, starting from a free sandbox environment and scaling up to enterprise solutions with credits for usage. Annual fees range from $35,000 to $637,500.
🔗 Integration Partners
GSAUSA.govGitLabSearch.gov
🛡️ Compliance Standards
FedRAMP Moderate
🏆 Competitive Moat
Focus on government-specific procurement and compliance, eliminating vendor overhead and simplifying the acquisition process compared to traditional RFP-based models.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Template comparison pages (pricing tiers)Integration directory pages (GSA, GitLab)Documentation pages (docs.cloud.gov)
⚡ Key Pain Points
• Complex RFP processes
• Vendor overhead
• Lack of transparency in pricing
• Compliance challenges
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time765 ms
Raw HTML Size31.4 KB
Visible Text Size7.7 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

765 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

385
DOM nodes
31 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=60
  • ✗ 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

90/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://cloud.gov/sitemap-index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

28
internal links
15
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 52/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for cloud.gov
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/cloud.gov" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=cloud.gov" 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 17 pages · Deep-10

Homepage ACRI
52
Single-page score
-14
Moderate hidden bloat
Δ delta
Site-Wide ACRI
39
Avg across 17 pages · Range 0–77
🔍
Hidden Bloat Detected

Homepage scores 52, but internal pages average only 39 — a -14-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
10%
Topical Drift
TF-IDF cosine similarity
Total Words
7214
Avg Bloat
5.8×
RAG Fractures [?]
4
⚠️
4 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 4 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://cloud.gov/security/
Secure and compliant digital services for government agencies | Cloud.gov
trust 77 8.3× 731 ⚠️ RAG Fracture
https://cloud.gov/workshop/
Developer Security Operations Tools for Government | Cloud.gov
other 77 7.8× 763
https://cloud.gov/apps/
Secure and scalable infrastructure for government applications | Cloud.gov
other 77 7.9× 873 ⚠️ RAG Fracture
https://cloud.gov/pages/
Simple, accessible, and 21st Century IDEA compliant government websites | Cloud.gov
other 77 6.7× 1138
https://cloud.gov/pricing
How to buy government cloud services without an RFP | Cloud.gov
pricing 67 10.3× 1377 ⚠️ RAG Fracture
https://cloud.gov/pricing/
How to buy government cloud services without an RFP | Cloud.gov
pricing 67 10.3× 1377 ⚠️ RAG Fracture
https://cloud.gov/support/
Support | Cloud.gov
support 57 16.2× 271
https://cloud.gov/contact
Contact Us | Cloud.gov
support 57 11.0× 338
https://cloud.gov/contact/
Contact Us | Cloud.gov
support 57 11.0× 338
https://cloud.gov/docs
Redirecting to: https://docs.cloud.gov/
docs 47 8.9× 8
https://cloud.gov/about about 0 0.0× 0
https://cloud.gov/products product 0 0.0× 0
https://cloud.gov/features product 0 0.0× 0
https://cloud.gov/blog blog 0 0.0× 0
https://cloud.gov/case-studies social-proof 0 0.0× 0
https://cloud.gov/faq support 0 0.0× 0
https://cloud.gov/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/pricing/ 2 67 0% 10.3× High JS Bloat
/contact/ 2 57 0% 11.0× High JS Bloat
/pages/ 1 77 0% 6.7× High JS Bloat
/support/ 1 57 0% 16.2× High JS Bloat
/docs/ 1 47 0% 8.9× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/security/ 1 77 0% 8.3× High JS Bloat
/apps/ 1 77 0% 7.9× High JS Bloat
/workshop/ 1 77 0% 7.8× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 17 pages
docs.cloud.gov ×10
usa.gov ×9
github.com ×9
gsaig.gov ×9
login.fr.cloud.gov ×9
cloudgov.statuspage.io ×9
open.gsa.gov ×9
gsa.gov ×9
🔄 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/cloud.gov

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

🔗 Similar government Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
cloud.gov (this site) 52 67 Custom / Proprietary 4.1× 0
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forvismazars.us 76 83 Custom / Proprietary 1.6× 1 Compare →
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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for cloud.gov:

Current Score
67
Projected Score
83
Improvement
+16 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +3 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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