mql5.com 67 C
🛡️ SEO 50 🤖 GEO 74 ⚡ Perf 52 🏗️ Arch 98

mql5.com — Global SEODiff Score 67/100

mql5.com
📊

At 65/100, the ACRI for mql5.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the infrastructure sector, mql5.com outperforms the average (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. A tight 3.7× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. Structured data coverage is solid at 3 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

67
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (50) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 30 snapshots
Feb 22 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 13 Content change detected
🔄 Mar 12 Content change detected
🔄 Mar 12 Content change detected
🔄 Mar 11 Content change detected
🔄 Mar 10 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)74 × 0.40 = 29.6
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)98 × 0.15 = 14.7
Weighted sum = 12.5 + 29.6 + 10.4 + 14.7
Global SEODiff Score = 67 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
24
Structure
avg 35
6
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.7%
Rank #6511
+45 pts
Gap
AI (ACRI)
Top 45%
Score 65/100

mql5.com 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 mql5.com ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage3 blocks
Token bloat3.7×

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

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

82 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

175 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.mql5.com
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Discover new MetaTrader 5 opportunities with MQL5 community and services
  • ✓ og:description — MQL5: language of trade strategies built-in the MetaTrader 5 Trading Platform, allows writing your own trading robots, technical indicators, scripts and libraries of functions
  • ✓ 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

74/100 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 →
mql5.com
53
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 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 82 elements (82 lists, 0 rows, 0 headers)
Total Words4848
Raw Density1.7%
💡Low structure score (24/100). Your content appears as a wall of text with few structured HTML elements. You have 82 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 Blocks3 blocks

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

53
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

27%
🗑️ 73%
Useful Content (52.6 KB)Bloat (140.9 KB)
Token Bloat Ratio3.7× — Lean

Multimodal Readiness

Visual Context90% Optimized for Vision
Image Alt Coverage88 / 98 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

32 Entropy
Poor Token Bloat: High
Noise Ratio: 72.8% · SNR: 0.37 · Signal: 13461 / Noise: 36080 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 mql5.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
MQL5 Algo Trading community provides a platform for traders to share, discuss, and develop trading algorithms.
Target Audience
Traders, algorithmic traders, MQL5 developers
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Community-driven algorithmic trading platform with MQL5 integration.
📊 Content Depth
3/10
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

AI-Readiness Score50/100
ServerCaddy
CDN
HTTP Status200
Load Time605 ms
Raw HTML Size193.5 KB
Visible Text Size52.6 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

605 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1778
DOM nodes
194 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache,no-store
  • ✗ 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

98/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.mql5.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

244
internal links
16
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 53/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for mql5.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/mql5.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=mql5.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 1010 pages · Deep-10

Homepage ACRI
53
Single-page score
0
Consistent readability
Δ delta
Site-Wide ACRI
54
Avg across 1010 pages · Range 0–82
Topical Cohesion
13%
Topical Drift
TF-IDF cosine similarity
Total Words
620706
Avg Bloat
34.5×
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.mql5.com/en/docs/runtime/testing
Testing Trading Strategies - MQL5 programs - MQL5 Reference
pricing 82 3.7× 8752 💰 Pricing
https://www.mql5.com/en/docs/series/copyticks
CopyTicks - Timeseries and Indicators Access - MQL5 Reference
pricing 77 9.7× 1904 💰 Pricing
https://www.mql5.com/en/docs/series/timeseries_access
Organizing Data Access - Timeseries and Indicators Access - MQL5 Reference
pricing 77 8.1× 3456 💰 Pricing
https://www.mql5.com/en/docs/basis/types/matrix_vector
Matrices and vectors - Data Types - Language Basics - MQL5 Reference
pricing 77 8.9× 2066 💰 Pricing
https://www.mql5.com/en/docs/basis/types/casting
Typecasting - Data Types - Language Basics - MQL5 Reference
pricing 77 9.3× 1648 💰 Pricing
https://www.mql5.com/en/docs/index
MQL5 Reference – How to use algorithmic/automated trading language for MetaTrader 5
docs 77 9.1× 1198
https://www.mql5.com/en/docs/basis/function/events
Event Handling Functions - Functions - Language Basics - MQL5 Reference
pricing 77 5.8× 4094 💰 Pricing
https://www.mql5.com/en/docs/basis/variables/inputvariables
Input Variables - Variables - Language Basics - MQL5 Reference
pricing 77 9.4× 1679 💰 Pricing
https://www.mql5.com/en/docs/basis/variables/object_live
Creating and Deleting Objects - Variables - Language Basics - MQL5 Reference
pricing 77 9.0× 1149 💰 Pricing
https://www.mql5.com/en/docs/basis/preprosessor/compilation
Program Properties (#property) - Preprocessor - Language Basics - MQL5 Reference
pricing 77 9.4× 1468 💰 Pricing
https://www.mql5.com/en/docs/basis/oop/inheritance
Inheritance - Object-Oriented Programming - Language Basics - MQL5 Reference
pricing 77 8.5× 2146 💰 Pricing
https://www.mql5.com/en/docs/constants/environment_state/marketinfoconstants
Symbol Properties - Environment State - Constants, Enumerations and Structures - MQL5 Reference
pricing 77 7.9× 5360 ⚠️ RAG Fracture
https://www.mql5.com/en/docs/runtime/running
Program Running - MQL5 programs - MQL5 Reference
pricing 77 7.8× 1913 💰 Pricing
https://www.mql5.com/en/docs/runtime/resources
Resources - MQL5 programs - MQL5 Reference
pricing 77 8.3× 3020 💰 Pricing
https://www.mql5.com/en/docs/runtime/event_fire
Client Terminal Events - MQL5 programs - MQL5 Reference
docs 77 8.7× 1106
https://www.mql5.com/en/docs/customind/indicators_examples
Indicator Styles in Examples - Custom Indicators - MQL5 Reference
pricing 77 8.2× 2083 💰 Pricing
https://www.mql5.com/en/docs/basis/types/classes
Structures, Classes and Interfaces - Data Types - Language Basics - MQL5 Reference
pricing 77 7.8× 7081 💰 Pricing
https://www.mql5.com/en/docs/python_metatrader5
Python Integration - MQL5 Reference
pricing 67 11.3× 1497 💰 Pricing
https://www.mql5.com/en/docs/python_metatrader5/mt5symbolsget_py
symbols_get - Python Integration - MQL5 Reference
pricing 67 18.8× 580 💰 Pricing
https://www.mql5.com/en/docs/python_metatrader5/mt5marketbookget_py
market_book_get - Python Integration - MQL5 Reference
pricing 67 14.7× 799 💰 Pricing
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
/en/ 499 64 0% 17.8× High JS Bloat
/faq/ 1 67 0% 40.6× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 1010 pages
x.com ×1005
web.metatrader.app ×1005
forge.mql5.io ×1005
tradays.com ×1005
t.me ×1005
cloud.mql5.com ×1005
metatrader5.com ×1005
facebook.com ×1005
🔄 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/mql5.com

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

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to mql5.com. Compare side-by-side.

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mql5.com (this site) 53 65 Custom / Proprietary 3.7× 3
dreambooks.pt 78 86 Custom / Proprietary 3.7× 3 Compare →
jbrj.gov.br 78 84 Custom / Proprietary 2.3× 2 Compare →
jsaccessories.co.uk 78 80 Custom / Proprietary 2.7× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite mql5.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…

🎭

Bait & Switch Delta

A 15 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

44
Homepage ACRI
39
Inner Avg ACRI
+5
ACRI Delta
40%
Homepage Ghost
23%
Inner Avg Ghost
2
Drift Score [?]
Worst Inner Pages
44 40% support https://mql5.com/contact
44 40% blog https://mql5.com/blog
29 20% docs https://www.mql5.com/en/docs/predefined/_symbol
🛡️

E-E-A-T Trust Signals

C 50/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
Named leadership: about, Features, blog
🔗

Citation Profile

10 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

136
Total Links
10
Unique Domains
9.1
Avg/Page
7%
Diversity
tradays.com facebook.com t.me web.metatrader.app download.terminal.free metatrader5.com forge.mql5.io cloud.mql5.com x.com c.mql5.com
🏘️ Outbound Neighborhood Trust Avg Trust: 25.6

AI trust scores for the domains mql5.com links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to mql5.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": "Mql5",
  "url": "https://mql5.com",
  "logo": "https://www.mql5.com/apple-touch-icon-57x57.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 Mql5?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Mql5 does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Mql5 work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Mql5."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for mql5.com:

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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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