mlssoccer.com 57 D
🛡️ SEO 29 🤖 GEO 66 ⚡ Perf 54 🏗️ Arch 83

mlssoccer.com — Global SEODiff Score 57/100

mlssoccer.com
📊

mlssoccer.com achieves a 77/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Within the infrastructure vertical, this places mlssoccer.com above the industry average of 57 —, 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. The bloated 26.8× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

57
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (29) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (27×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 28 snapshots
Feb 22 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 10 Content change detected
Does your site score higher than mlssoccer.com?
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)29 × 0.25 = 7.2
🤖 AI Readiness / GEO (40% weight)66 × 0.40 = 26.4
⚡ Performance (20% weight)54 × 0.20 = 10.8
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 7.2 + 26.4 + 10.8 + 12.4
Global SEODiff Score = 57 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
88
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #18524
+13 pts
Gap
AI (ACRI)
Top 14%
Score 77/100

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

Why mlssoccer.com ranks here

Tech stackCustom / Proprietary
RenderingHybrid
Schema coverage0 blocks
Token bloat26.8×

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

29/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

56 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

119 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 24
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.mlssoccer.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 — mlssoccer
  • ✓ og:description — All the latest MLS news, scores, stats, standings and highlights. Plus special coverage of US Soccer and Canada Soccer.
  • ✗ 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

66/100 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 infrastructure sector, safely.co.jp (ACRI: 90) 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 →
mlssoccer.com
59
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. 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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 88/100 — Excellent
Structured Elements 170 elements (169 lists, 1 rows, 0 headers)
Total Words729
Raw Density23.3%

🏷️ 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

54
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability54/100 — AI models can partially extract answers from this page
Crawl CostHigh (95/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

3%
🗑️ 97%
Useful Content (26.5 KB)Bloat (683.4 KB)
Token Bloat Ratio26.8× — Heavy

Multimodal Readiness

Visual Context98% Optimized for Vision
Image Alt Coverage56 / 57 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 709.9 KB, but only 26.5 KB is text. 3% useful / 97% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (26.8×) 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: 96.3% · SNR: 0.04 · Signal: 6793 / Noise: 174938 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 mlssoccer.com 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
MLS provides a premier professional soccer league experience to fans across North America.
Target Audience
Soccer fans, sports enthusiasts, media outlets, and league partners.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Leading professional soccer league in the US and Canada.
📊 Content Depth
3/10
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time931 ms
Raw HTML Size709.9 KB
Visible Text Size26.5 KB

Performance & Speed

54/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

931 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1406
DOM nodes
710 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=109
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

2
tracker scripts
2
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
doubleclick.netfacebook.net
📐 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

83/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

122
internal links
68
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 59/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for mlssoccer.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/mlssoccer.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=mlssoccer.com" 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 112 pages · Deep-10

Homepage ACRI
59
Single-page score
-19
Moderate hidden bloat
Δ delta
Site-Wide ACRI
41
Avg across 112 pages · Range 0–82
🔍
Hidden Bloat Detected

Homepage scores 59, but internal pages average only 41 — a -19-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
18%
Topical Drift
TF-IDF cosine similarity
Total Words
103369
Avg Bloat
321.1×
RAG Fractures [?]
1
⚠️
1 RAG-Chunking Fracture Detected

Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.mlssoccer.com/mlsnext/resources/conduct/mls-next-disciplinary-code
MLS NEXT Disciplinary Code
pricing 82 3.9× 10499 💰 Pricing
https://www.mlssoccer.com/mlsnext/resources/health-and-safety/mls-next-safety-and-wellbeing-policy
MLS NEXT Code of Conduct | mlssocer.com
pricing 82 2.6× 29076 💰 Pricing
https://www.mlssoccer.com/mlsnext/resources/rules-and-regulations/index
MLS NEXT Rules and Regulations
pricing 82 3.7× 12283 💰 Pricing
https://www.mlssoccer.com/about/roster-rules-and-regulations
Roster Rules and Regulations | MLSsoccer.com
pricing 77 5.6× 9458 💰 Pricing
https://www.mlssoccer.com/about/competition-guidelines
Competition Guidelines | MLSsoccer.com
pricing 77 6.5× 8092 💰 Pricing
https://www.mlssoccer.com/mlsnext/resources/technical-standards/index
MLS NEXT Technical Standards
blog 64 18.7× 1464
https://www.mlssoccer.com/mlsnext/resources/conduct/mls-next-code-of-conduct
MLS NEXT Code of Conduct
blog 64 15.3× 1705
https://www.mlssoccer.com/greenergoals/index
MAJOR LEAGUE SOCCER CELEBRATES EARTH DAY WITH 8TH ANNUAL GREENER GOALS WEEK OF SERVICE APRIL 14-22 | MLSSoccer.com
pricing 64 15.1× 3850 💰 Pricing
https://www.mlssoccer.com/mlsnext/resources/insurance/mls-next-insurance-faq
MLS NEXT Insurance Resources
pricing 59 31.1× 787 💰 Pricing
https://www.mlssoccer.com/mlsnext/resources/mls-next-delivering-access-pres-by-doordash/index
MLS NEXT - The Official Site of MLS NEXT
blog 59 36.5× 709
https://www.mlssoccer.com/mlsnext/about/members
MLS NEXT - Members
about 59 23.3× 1127
https://www.mlssoccer.com/mlsnext/resources/conduct/mls-next-fine-schedule
MLS NEXT Fine Schedule
pricing 59 33.3× 739 💰 Pricing
https://www.mlssoccer.com/audi/faq
Audi Goals Drive Progress | MLSsoccer.com
pricing 59 33.1× 1105 💰 Pricing
https://www.mlssoccer.com/about/send-off-review-procedure
MLS Send-Off Review Procedure | MLSsoccer.com
about 56 49.1× 852
https://www.mlssoccer.com/playerengagement/resources
Player Engagement | MLSsoccer.com
pricing 56 71.4× 537 💰 Pricing
https://www.mlssoccer.com/about/fan-code-of-conduct
Fan Code of Conduct | MLSsoccer.com
about 56 53.6× 729
https://www.mlssoccer.com/media-resources/allstar2021
Media Resources | MLSsoccer.com
blog 56 62.5× 657
https://www.mlssoccer.com/inter-miami-pretemporada/index
Gira de Pretemporada de Inter Miami CF 2024 | MLS Español
pricing 56 93.2× 553 💰 Pricing
https://www.mlssoccer.com/hometownheroes/index
MLS unveils 2025 All-Star Hometown Heroes presented by RBC Wealth Management | MLSSoccer.com
other 56 48.0× 1035
https://www.mlssoccer.com/kcc
MLS & Continental Tire's 11th annual Kick Childhood Cancer campaign | MLSSoccer.com
other 56 83.9× 578
Showing 20 of 100 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
/mlsnext/ 16 53 0% 161.9× High JS Bloat
/about/ 12 46 0% 268.8× High JS Bloat
/media-resources/ 7 42 0% 341.9× High JS Bloat
/season-pass/ 5 46 0% 502.5× High JS Bloat
/claim-your-club/ 5 46 0% 502.5× High JS Bloat
/community/ 3 39 0% 302.2× High JS Bloat
/clubs/ 3 46 0% 191.9× High JS Bloat
/audi/ 3 47 0% 422.8× High JS Bloat
/mlsgo/ 2 41 0% 89.5× High JS Bloat
/jerseyweeksweeps/ 2 46 0% 502.5× High JS Bloat
/playerengagement/ 2 46 0% 150.2× High JS Bloat
/fanatics-fest/ 2 46 0% 502.5× High JS Bloat
/how-to-watch/ 2 36 0% 1240.1× High JS Bloat
/competitions/ 2 31 0% 1106.2× High JS Bloat
/mlscup/ 1 46 0% 314.4× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 112 pages
mlsnextpro.com ×99
twitter.com ×98
instagram.com ×97
facebook.com ×96
preferences.mlssoccer.com ×96
tiktok.com ×96
soc.cr ×85
coloradorapids.com ×80
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/mlssoccer.com

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

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📊 Semantic Share of Voice

How often would an AI cite mlssoccer.com 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 mlssoccer.com. 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": "Mlssoccer",
  "url": "https://mlssoccer.com",
  "logo": "https://images.mlssoccer.com/image/upload/assets/crest/MLS-Crest-FullColor.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": "Mlssoccer",
  "url": "https://mlssoccer.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://mlssoccer.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Mlssoccer?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Mlssoccer does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Mlssoccer work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Mlssoccer."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for mlssoccer.com:

Current Score
77
Projected Score
95
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 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
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