capital.com 54 D
🛡️ SEO 49 🤖 GEO 50 ⚡ Perf 47 🏗️ Arch 79

capital.com — Global SEODiff Score 54/100

capital.com
📊

The AI-Readiness score for capital.com is 62/100 — a middling result that leaves significant room to climb the Radar rankings. Within the infrastructure vertical, this places capital.com above the industry average of 57 —, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A 43.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. 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.

54
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (47) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (43×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 13, 2026 · 📋 API
Does your site score higher than capital.com?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)49 × 0.25 = 12.2
🤖 AI Readiness / GEO (40% weight)50 × 0.40 = 20.0
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)79 × 0.15 = 11.8
Weighted sum = 12.2 + 20.0 + 9.4 + 11.8
Global SEODiff Score = 54 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
0
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #25856
+47 pts
Gap
AI (ACRI)
Top 49%
Score 62/100

capital.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 capital.com ranks here

Tech stackNext.js
RenderingSSR
Schema coverage0 blocks
Token bloat43.0×

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

49/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

60 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

161 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Online Trading with Our Award-winning Platform | Capital.com
  • ✓ og:description — Join 827,000+ global traders on OMA’S Best Overall Trading Platform 2024. Trade 5,000+ CFD markets and get 24/7 English support. 81.31% of investors lose money.
  • ✓ 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

50/100 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 →
capital.com
31
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 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words1358
Raw Density0.0%
💡Low structure score (0/100). Your content appears as a wall of text with few structured HTML elements. You have 0 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 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

27
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability27/100 — AI models can barely extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

2%
🗑️ 98%
Useful Content (8.6 KB)Bloat (361.7 KB)
Token Bloat Ratio43.0× — Bloated

Multimodal Readiness

Visual Context5% Optimized for Vision
Image Alt Coverage5 / 103 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 370.4 KB, but only 8.6 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (43.0×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 5% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 97.7% · SNR: 0.02 · Signal: 2206 / Noise: 92606 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

FrameworkNext.js
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time1579 ms
Raw HTML Size370.4 KB
Visible Text Size8.6 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1579 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1397
DOM nodes
370 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=1200, public, 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

79/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

166
internal links
21
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 31/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for capital.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/capital.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=capital.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 98 pages · Deep-10

Homepage ACRI
31
Single-page score
+30
Subpages outperform homepage
Δ delta
Site-Wide ACRI
62
Avg across 98 pages · Range 40–71
Topical Cohesion
38%
Topical Drift
TF-IDF cosine similarity
Total Words
164984
Avg Bloat
54.9×
Page Type ACRI Token Bloat Words Status
https://capital.com/ar-ae/learn/trading-strategies/margin-trading
ما هو التداول بالهامش وآلية عمله | Capital.com
pricing 71 19.8× 4082 💰 Pricing
https://capital.com/ar-ae/learn/ipo/upcoming-ipos
أبرز الطروحات العامة الأولية المرتقبة لعام 2025 | Capital.com
pricing 66 24.1× 3263 💰 Pricing
https://capital.com/ar-ae/ways-to-trade/pricing
شرح وافٍ لهيكلية أسعارنا: فروقات الأسعار، وتكاليف التبييت، ورسوم أوامر وقف الخسارة المضمونة | Capital.com
pricing 63 32.6× 1995 💰 Pricing
https://capital.com/ar-ae/learn/trading-strategies/day-trading
التداول اليومي: الاستراتيجيات، والمخاطر، والأخطاء الشائعة | Capital.com
pricing 63 57.2× 1154 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/arnaud-legoux-moving-average
استراتيجية التداول بمتوسط أرنو ليجو المتحرّك (ALMA): دليل عملي للمتداولين | Capital.com
pricing 63 33.7× 2115 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/relative-strength-index
استراتيجية التداول باستخدام مؤشر القوة النسبية: كيفية استخدام مؤشر القوة النسبية | Capital.com
pricing 63 33.6× 2136 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/moving-average
استراتيجية التداول بالمتوسط المتحرك: دليل الاستخدام | Capital.com
pricing 63 36.5× 1994 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/exponential-moving-average
كيف يُمكن توظيف مؤشر المتوسط المتحرك الأسي (EMA) في التداول؟ | Capital.com
pricing 63 39.7× 1713 💰 Pricing
https://capital.com/ar-ae/learn/trading-strategies/scalp-trading
استراتيجية السكالبينج: ما يجب أن تعرفه | Capital.com
pricing 63 41.3× 1678 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/hull-moving-average
استراتيجية التداول باستخدام متوسط هال المتحرك: دليل الاستخدام | Capital.com
pricing 63 38.0× 1846 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/head-and-shoulders-chart-pattern
ما هو نمط الرأس والكتفين في المخططات البيانية؟ | Capital.com
pricing 63 43.4× 1552 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/bollinger-bands
كيف يُمكن تطبيق استراتيجية التداول باستخدام بولينجر باندز؟ | Capital.com
pricing 63 53.5× 1183 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/heikin-ashi-trading-strategy
ما هي استراتيجية التداول باستخدام شموع هيكين-آشي؟ | Capital.com
pricing 63 47.2× 1389 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/average-directional-index
استكشف استراتيجية التداول باستخدام مؤشر متوسط الحركة الاتجاهية: تعلّم كيفية استخدام مؤشر ADX | Capital.com
pricing 63 60.1× 1046 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/mcginley-dynamic-indicator
مؤشر ماكجينلي الديناميكي: دليلك لإتقان استخدامه | Capital.com
pricing 63 51.9× 1272 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/fibonacci-retracement-strategy
ما هي استراتيجية التداول المعتمدة على فيبوناتشي؟ | Capital.com
pricing 63 53.9× 1206 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/mass-index
كيف يُمكن استخدام مؤشر الكتلة ضمن استراتيجية التداول؟ | Capital.com
pricing 63 52.5× 1177 💰 Pricing
https://capital.com/ar-ae/learn/trading-strategies/trend-trading
استراتيجية التداول حسب الاتجاه: كيفية استخدامها | Capital.com
pricing 63 36.3× 1966 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/support-and-resistance-trading-strategy
استراتيجية التداول بناءً على الدعم والمقاومة (S&R) | Capital.com
pricing 63 43.0× 1586 💰 Pricing
https://capital.com/ar-ae/learn/technical-analysis/average-true-range-trading-strategy
ما هو مؤشر متوسط المدى الحقيقي (ATR)؟ | Capital.com
pricing 63 40.0× 1693 💰 Pricing
Showing 20 of 98 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
/ar-ae/ 88 62 1% 48.7× Bot Blocked
/pricing/ 1 60 1% 80.4× Bot Blocked
/about/ 1 60 1% 80.8× Bot Blocked
/case-studies/ 1 60 1% 80.8× Bot Blocked
/contact/ 1 60 1% 80.8× Bot Blocked
/blog/ 1 50 1% 140.5× Bot Blocked
/features/ 1 60 1% 80.8× Bot Blocked
/products/ 1 60 1% 80.8× Bot Blocked
/docs/ 1 60 1% 80.8× Bot Blocked
/faq/ 1 40 1% 309.7× Bot Blocked
/integrations/ 1 60 1% 80.8× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 98 pages
twitter.com ×98
app.appsflyer.com ×98
linkedin.com ×98
tiktok.com ×98
instagram.com ×98
youtube.com ×88
reddit.com ×10
facebook.com ×10
🔄 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/capital.com

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

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📊 Semantic Share of Voice

How often would an AI cite capital.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 capital.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": "Capital",
  "url": "https://capital.com",
  "logo": "https://static.capital.com/favicon/apple-icon-57x57.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": "Capital",
  "url": "https://capital.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://capital.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 2% 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 Capital?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Capital does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Capital work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Capital."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
62
Projected Score
80
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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
Free Deep Audit → GSC Error Guide →