bodycodi.com 57 D
🛡️ SEO 46 🤖 GEO 61 ⚡ Perf 59 🏗️ Arch 63

bodycodi.com — Global SEODiff Score 57/100

bodycodi.com
📊

The AI-Readiness profile for bodycodi.com is strong: an ACRI of 71/100 places it ahead of 70% of domains in the index. In the saas sector, bodycodi.com outperforms the average (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. The bloated 21.6× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. 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 (46) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (22×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Feb 23 Mar 21
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than bodycodi.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)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)61 × 0.40 = 24.4
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)63 × 0.15 = 9.4
Weighted sum = 11.5 + 24.4 + 11.8 + 9.4
Global SEODiff Score = 57 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
46
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 9%
Rank #93964
+21 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

bodycodi.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 bodycodi.com ranks here

Tech stackNext.js
Industrysaas
RenderingSSR
Schema coverage0 blocks
Token bloat21.6×

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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

126 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

128 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://bodycodi.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ko
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — 바디코디 | 1등 피트니스센터/헬스장 CRM,회원관리프로그램,키오스크,출입통제 통합운영 서비스
  • ✓ og:description — 바디코디 | 피트니스 CRM,회원관리프로그램,키오스크,출입통제 스마트상점 기술도입 공급 서비스
  • ✓ 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

61/100 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 saas sector, smahospital.jp (ACRI: 84) 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 →
bodycodi.com
49
Your ACRI Score
84
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. smahospital.jp has schema coverage of 1 blocks and uses Next.js. 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 46/100 — Fair
Structured Elements 52 elements (52 lists, 0 rows, 0 headers)
Total Words821
Raw Density6.3%

🏷️ 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

43
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability43/100 — AI models can partially extract answers from this page
Crawl CostMedium (40/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

4%
🗑️ 96%
Useful Content (7.7 KB)Bloat (159.4 KB)
Token Bloat Ratio21.6× — Heavy

Multimodal Readiness

Visual Context97% Optimized for Vision
Image Alt Coverage77 / 79 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 167.1 KB, but only 7.7 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (21.6×) 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: 95.4% · SNR: 0.05 · Signal: 1978 / Noise: 40796 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 bodycodi.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
Badiocodi offers an all-in-one unattended operation system for fitness centers, managing classes, payments, attendance, and member management in a single
Target Audience
Fitness center managers, gym owners, personal trainers, and administrators in fitness and wellness facilities.
Pricing Model
Offers various packages including installment payments and support for small and medium-sized businesses.
🔗 Integration Partners
Naver
🏆 Competitive Moat
Industry-leading member management program integration and unique Naver reservation synchronization provide a significant competitive advantage.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Template comparison pagesIntegration directory pages
⚡ Key Pain Points
• Thin landing pages for features
• No structured FAQ schema
Analyzed by SEODiff AI · 2026-03-05

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servernginx/1.14.0 (Ubuntu)
CDN
HTTP Status200
Load Time998 ms
Raw HTML Size167.1 KB
Visible Text Size7.7 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

998 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

943
DOM nodes
167 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

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

63/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

10
internal links
5
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 → ko
  • ✓ 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 49/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for bodycodi.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/bodycodi.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=bodycodi.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 15 pages · Deep-10

Homepage ACRI
49
Single-page score
-33
Severe hidden bloat
Δ delta
Site-Wide ACRI
16
Avg across 15 pages · Range 0–64
🔍
Hidden Bloat Detected

Homepage scores 49, but internal pages average only 16 — a -33-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
82%
Strong Alignment
TF-IDF cosine similarity
Total Words
1365
Avg Bloat
37.7×
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://bodycodi.com/kiosk
1등 바디코디 | 헬스장 무인운영 키오스크
pricing 64 286.5× 676 ⚠️ RAG Fracture
https://bodycodi.com/price
바디코디 가격안내 | 합리적인 가격의 피트니스 필라테스 헬스장 원스탑 회원관리프로그램
pricing 54 40.9× 244 💰 Pricing
https://bodycodi.com/naver
바디코디 네이버 연동 | 네이버 예약, 플레이스 연동, 실시간 자동 연동
pricing 44 89.3× 150 💰 Pricing
https://bodycodi.com/payment
바디코디 결제 시스템 | 24시간 자동매출, 온라인 결제, 무이자 할부, 카카오톡 결제 안내
pricing 44 78.2× 173 💰 Pricing
https://bodycodi.com/download
바디코디 회원관리프로그램 | 예약 어플, 사장님 강사님 전용앱, PC프로그램 다운로드
pricing 41 70.3× 122 💰 Pricing
https://bodycodi.com/pricing pricing 0 0.0× 0
https://bodycodi.com/about about 0 0.0× 0
https://bodycodi.com/products product 0 0.0× 0
https://bodycodi.com/features product 0 0.0× 0
https://bodycodi.com/blog blog 0 0.0× 0
https://bodycodi.com/docs docs 0 0.0× 0
https://bodycodi.com/case-studies social-proof 0 0.0× 0
https://bodycodi.com/contact support 0 0.0× 0
https://bodycodi.com/faq support 0 0.0× 0
https://bodycodi.com/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/faq/ 1 0 0% 0.0× Low AI Readiness
/payment/ 1 44 0% 78.2× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/kiosk/ 1 64 0% 286.5× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/naver/ 1 44 0% 89.3× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/price/ 1 54 0% 40.9× High JS Bloat
/download/ 1 41 1% 70.3× Bot Blocked
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 15 pages
youtube.com ×5
facebook.com ×5
tv.naver.com ×5
blog.naver.com ×5
crm-guide.bodycodi.com ×5
🔄 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/bodycodi.com

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

🔗 Similar saas Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
bodycodi.com (this site) 49 71 Next.js 21.6× 0
porncomicsworld.com 74 82 Cloudflare Pages 4.2× 0 Compare →
collegeteensex.net 74 82 Cloudflare Pages 3.3× 0 Compare →
kaliningrad.gde.ru 74 85 Cloudflare Pages 1.6× 1 Compare →
kia.com.au 74 85 Adobe Experience Manager 4.2× 1 Compare →
kanchu.happy-card.jp 74 74 Custom / Proprietary 2.4× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite bodycodi.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 bodycodi.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": "Bodycodi",
  "url": "https://bodycodi.com",
  "logo": "https://bodycodi.com/images/favicon.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": "Bodycodi",
  "url": "https://bodycodi.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://bodycodi.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 4% 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 Bodycodi?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Bodycodi does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Bodycodi work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Bodycodi."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
71
Projected Score
89
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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