fabricmc.net 69 C
🛡️ SEO 56 🤖 GEO 75 ⚡ Perf 68 🏗️ Arch 76

fabricmc.net — Global SEODiff Score 69/100

fabricmc.net
📊

The AI-Readiness profile for fabricmc.net is strong: an ACRI of 65/100 places it ahead of 56% of domains in the index. Within the developer vertical, this places fabricmc.net 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. With a 2.1× 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. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (56) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than fabricmc.net?
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)56 × 0.25 = 14.0
🤖 AI Readiness / GEO (40% weight)75 × 0.40 = 30.0
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)76 × 0.15 = 11.4
Weighted sum = 14.0 + 30.0 + 13.6 + 11.4
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
24
Structure
avg 35
2
Schema
avg 10
50
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #26934
+42 pts
Gap
AI (ACRI)
Top 44%
Score 65/100

fabricmc.net 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 fabricmc.net ranks here

Tech stackCustom / Proprietary
Industrydeveloper
RenderingSSR
Schema coverage1 blocks
Token bloat2.1×

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

56/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

58 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

49 chars
Too short

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://fabricmc.net/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Fabric
  • ✓ og:description — The home of the Fabric mod development toolchain.
  • ✗ og:image
  • ✓ 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

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.

🔗

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 →
fabricmc.net
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 24/100 — Low
Structured Elements 7 elements (7 lists, 0 rows, 0 headers)
Total Words408
Raw Density1.7%
💡Low structure score (24/100). Your content appears as a wall of text with few structured HTML elements. You have 7 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

1/7 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.

📐 AI Efficiency Metrics Docs

52
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability52/100 — 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

47%
🗑️ 53%
Useful Content (4.6 KB)Bloat (5.1 KB)
Token Bloat Ratio2.1× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage5 / 5 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

73 Entropy
Good Token Bloat: Low
Noise Ratio: 52.6% · SNR: 0.90 · Signal: 1189 / Noise: 1317 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

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time1373 ms
Raw HTML Size9.8 KB
Visible Text Size4.6 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1373 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

124
DOM nodes
10 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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://fabricmc.net/wiki/doku.php?do=sitemap
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

16
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 47/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
fabricmc.net (this site) 47 65 Custom / Proprietary 2.1× 1
3wa.io 47 69 Custom / Proprietary 2.1× 1 Compare →
igraph.org 47 64 Custom / Proprietary 2.3× 1 Compare →
lhotka.net 47 66 Custom / Proprietary 2.4× 1 Compare →
backloop.dev 47 67 Custom / Proprietary 2.7× 1 Compare →
haacked.com 47 64 Custom / Proprietary 2.7× 1 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to fabricmc.net. 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": "Fabricmc",
  "url": "https://fabricmc.net",
  "logo": "https://fabricmc.net/assets/favicon.png",
  "sameAs": []
}
</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 Fabricmc?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Fabricmc does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Fabricmc work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Fabricmc."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for fabricmc.net:

Current Score
65
Projected Score
74
Improvement
+9 pts
Add Organization schema +6 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