libraries.io 76 B
🛡️ SEO 65 🤖 GEO 81 ⚡ Perf 80 🏗️ Arch 76

libraries.io — Global SEODiff Score 76/100

libraries.io
📊

libraries.io achieves a 76/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Compared to other developer sites (avg score: 57), libraries.io performs above the benchmark, 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 3.3×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

76
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (65) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 20 snapshots
Feb 22 Mar 21
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)65 × 0.25 = 16.2
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)76 × 0.15 = 11.4
Weighted sum = 16.2 + 32.4 + 16.0 + 11.4
Global SEODiff Score = 76 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
45
Structure
avg 35
44
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 8%
Rank #83790
+9 pts
Gap
AI (ACRI)
Top 17%
Score 76/100

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

Why libraries.io ranks here

Tech stackExpress
Industrydeveloper
RenderingSSR
Schema coverage2 blocks
Token bloat3.3×

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

65/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

67 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

79 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 4
  • ✓ <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 — Libraries.io - security & maintenance data for open source software
  • ✓ og:description — Discover open source libraries, modules and frameworks you can use in your code
  • ✓ 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

81/100 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 →
libraries.io
58
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 45/100 — Fair
Structured Elements 36 elements (23 lists, 10 rows, 3 headers)
Total Words599
Raw Density6.0%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.

📐 AI Efficiency Metrics Docs

69
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability69/100 — 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

30%
🗑️ 70%
Useful Content (7.5 KB)Bloat (17.5 KB)
Token Bloat Ratio3.3× — Lean

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 2 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

43 Entropy
Fair Token Bloat: Medium
Noise Ratio: 70.0% · SNR: 0.43 · Signal: 1923 / Noise: 4485 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 libraries.io 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
Libraries.io provides a free service to monitor open source package information across various package managers, while the Tidelift Subscription offers
Target Audience
Software developers, DevOps engineers, security analysts, open source project maintainers, and organizations managing open source dependencies.
Pricing Model
Free tier with a paid subscription (Tidelift Subscription) for enhanced data and features.
🔗 Integration Partners
GitHubGitLabBitbucketnpmPyPIMavenGoNuGet
🏆 Competitive Moat
Curated, validated, and human-maintained open source package data with enhanced insights into maintainer practices and security attestations.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Data not validated, corrected, or curated for accuracy
• Limited insights only, not validated for accuracy
Analyzed by SEODiff AI · 2026-03-04

🔧 Tech Stack

FrameworkExpress
AI-Readiness Score55/100
Server
CDN
HTTP Status200
Load Time570 ms
Raw HTML Size25.0 KB
Visible Text Size7.5 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

570 ms
Acceptable — room for improvement

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

📦 Page Weight

441
DOM nodes
25 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=0, private, must-revalidate
  • ✗ 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://libraries.io/sitemaps/sitemap.xml.gz
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

52
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 → 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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for libraries.io
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/libraries.io" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=libraries.io" 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 53 pages · Deep-10

Homepage ACRI
58
Single-page score
-8
Moderate hidden bloat
Δ delta
Site-Wide ACRI
50
Avg across 53 pages · Range 0–85
Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
20377
Avg Bloat
18.1×
RAG Fractures [?]
6
⚠️
6 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 6 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://libraries.io/packagist/bigcommerce%2Fapi
bigcommerce/api 3.3.11 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 85 9.0× 1597 ⚠️ RAG Fracture
https://libraries.io/packagist/ayeaye%2Fapi
ayeaye/api 1.0.2 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 85 7.5× 1567 ⚠️ RAG Fracture
https://libraries.io/packagist/ciims-modules%2Fapi
ciims-modules/api 2.0.25 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 85 7.6× 4064 ⚠️ RAG Fracture
https://libraries.io/bower/guides
guides on Bower - Libraries.io - security & maintenance data for open source software
pricing 85 9.9× 852 ⚠️ RAG Fracture
https://libraries.io/packagist/creolab%2Fresources
creolab/resources 0.1.0 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 85 7.7× 662 💰 Pricing
https://libraries.io/about
Libraries.io - security & maintenance data for open source software
about 85 9.7× 527
https://libraries.io/pypi/features
features 0.5.12 on PyPI - Libraries.io - security & maintenance data for open source software
pricing 85 9.2× 1089 💰 Pricing
https://libraries.io/packagist/commerceguys%2Fpricing
commerceguys/pricing on Packagist - Libraries.io - security & maintenance data for open source software
pricing 75 11.8× 533 💰 Pricing
https://libraries.io/packagist/angel%2Fproducts
angel/products v1.0.5 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 75 10.7× 933 ⚠️ RAG Fracture
https://libraries.io/pypi/changelog
changelog 0.6.2 on PyPI - Libraries.io - security & maintenance data for open source software
docs 75 11.3× 619
https://libraries.io/packagist/dimug%2Fapi
dimug/api on Packagist - Libraries.io - security & maintenance data for open source software
docs 65 15.6× 283
https://libraries.io/pypi/about
about 5.2 on PyPI - Libraries.io - security & maintenance data for open source software
about 65 15.0× 366
https://libraries.io/hex/service
service 1.5.1 on Hex - Libraries.io - security & maintenance data for open source software
product 65 17.9× 348
https://libraries.io/packagist/brightlocal%2Fapi
brightlocal/api v0.4.2 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 62 16.6× 376 💰 Pricing
https://libraries.io/packagist/dingo%2Fapi
dingo/api v3.0.8 on Packagist - Libraries.io - security & maintenance data for open source software
docs 62 19.8× 417
https://libraries.io/packagist/admitad%2Fapi
admitad/api 0.1.4 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 62 16.2× 409 💰 Pricing
https://libraries.io/packagist/devfactory%2Fapi
devfactory/api 1.0.5 on Packagist - Libraries.io - security & maintenance data for open source software
docs 62 15.7× 439
https://libraries.io/packagist/aura%2Fblog
aura/blog 2.0.0-alpha1 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 62 16.1× 310 💰 Pricing
https://libraries.io/packagist/angel%2Fblog
angel/blog 0.0.4 on Packagist - Libraries.io - security & maintenance data for open source software
blog 62 17.3× 294
https://libraries.io/packagist/codesleeve%2Fplatform
codesleeve/platform v4.0 on Packagist - Libraries.io - security & maintenance data for open source software
pricing 62 18.6× 269 💰 Pricing
Showing 20 of 53 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
/packagist/ 28 60 0% 21.6× High JS Bloat
/pypi/ 9 57 0% 24.2× High JS Bloat
/bower/ 4 63 0% 21.7× High JS Bloat
/faq/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 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
/hex/ 1 65 0% 17.9× High JS Bloat
/contact/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 85 0% 9.7× High JS Bloat
/rubygems/ 1 47 0% 23.6× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 53 pages
github.com ×44
sonarsource.com ×44
blog.tidelift.com ×44
packagist.org ×28
pypi.org ×9
travis-ci.org ×6
getcomposer.org ×4
coveralls.io ×3
🔄 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/libraries.io

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
libraries.io (this site) 58 76 Express 3.3× 2
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📊 Semantic Share of Voice

How often would an AI cite libraries.io 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 libraries.io. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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 Libraries?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Libraries does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Libraries work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Libraries."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for libraries.io:

Current Score
76
Projected Score
79
Improvement
+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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