mjml.io 70 B
🛡️ SEO 58 🤖 GEO 78 ⚡ Perf 68 🏗️ Arch 73

mjml.io — Global SEODiff Score 70/100

mjml.io
📊

mjml.io shows strong AI visibility with an ACRI of 71/100, outperforming 70% of indexed domains. Within the developer vertical, this places mjml.io above the industry average of 58 —, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. With a 2.7× 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.

70
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (58) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 25, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Feb 23 Feb 25
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than mjml.io?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)73 × 0.15 = 10.9
Weighted sum = 14.5 + 31.2 + 13.6 + 10.9
Global SEODiff Score = 70 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
26
Structure
avg 36
42
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #572391
-27 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

mjml.io ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 30%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why mjml.io ranks here

Tech stackCustom / Proprietary
Industrydeveloper
RenderingSSR
Schema coverage1 blocks
Token bloat2.7×

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

58/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

37 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

136 chars
Good length

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

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✗ twitter:card
📐 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 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 →
mjml.io
52
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 26/100 — Low
Structured Elements 21 elements (21 lists, 0 rows, 0 headers)
Total Words1004
Raw Density2.1%
💡Low structure score (26/100). Your content appears as a wall of text with few structured HTML elements. You have 21 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 ✅ Present
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 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.
💡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

63
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability63/100 — 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

37%
🗑️ 63%
Useful Content (6.1 KB)Bloat (10.2 KB)
Token Bloat Ratio2.7× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage23 / 23 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

57 Entropy
Fair Token Bloat: Medium
Noise Ratio: 62.4% · SNR: 0.60 · Signal: 1573 / Noise: 2612 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
Server
CDN
HTTP Status200
Load Time1146 ms
Raw HTML Size16.3 KB
Visible Text Size6.1 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1146 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

241
DOM nodes
16 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
twitter.com/oct
📐 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

73/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

17
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 52/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
52
Single-page score
+30
Subpages outperform homepage
Δ delta
Site-Wide ACRI
82
Avg across 10 pages · Range 82–82
Topical Cohesion
1%
Topical Drift
TF-IDF cosine similarity
Total Words
9170
Avg Bloat
3.0×
Page Type ACRI Token Bloat Words Status
https://mjml.io/pricing
Page not found - MJML
pricing 82 3.0× 815
https://mjml.io/about
About - MJML
about 82 3.1× 973
https://mjml.io/products
Page not found - MJML
product 82 3.0× 815
https://mjml.io/features
Page not found - MJML
product 82 3.0× 815
https://mjml.io/blog
Page not found - MJML
blog 82 3.0× 815
https://mjml.io/docs
Page not found - MJML
docs 82 3.0× 815
https://mjml.io/case-studies
Page not found - MJML
social-proof 82 3.0× 815
https://mjml.io/contact
Page not found - MJML
support 82 3.0× 815
https://mjml.io/faq
FAQ - MJML
support 82 3.0× 1677
https://mjml.io/integrations
Page not found - MJML
integrations 82 3.0× 815
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/products/ 1 82 0% 3.0× Healthy
/features/ 1 82 0% 3.0× Healthy
/blog/ 1 82 0% 3.0× Healthy
/docs/ 1 82 0% 3.0× Healthy
/faq/ 1 82 0% 3.0× Healthy
/integrations/ 1 82 0% 3.0× Healthy
/pricing/ 1 82 0% 3.0× Healthy
/about/ 1 82 0% 3.1× Healthy
/case-studies/ 1 82 0% 3.0× Healthy
/contact/ 1 82 0% 3.0× Healthy
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
documentation.mjml.io ×10
twitter.com ×10
x.com ×10
mailjet.com ×10
join.slack.com ×10
facebook.github.io ×10
github.com ×10
packagecontrol.io ×1
🔄 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/mjml.io

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
mjml.io (this site) 52 71 Custom / Proprietary 2.7× 1
mods.go.kr 77 80 Custom / Proprietary 2.8× 1 Compare →
chezmoi.io 77 80 Custom / Proprietary 1.9× 0 Compare →
512kb.club 77 81 Express 4.2× 1 Compare →
psychobunny.ca 77 89 Shopify 3.4× 2 Compare →
lasiesta.com 77 87 Shopify 3.5× 2 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

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

Current Score
71
Projected Score
84
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

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