caveduck.io 55 D
🛡️ SEO 50 🤖 GEO 65 ⚡ Perf 28 🏗️ Arch 72

caveduck.io — Global SEODiff Score 55/100

caveduck.io
📊

The AI-Readiness profile for caveduck.io is strong: an ACRI of 70/100 places it ahead of 67% of domains in the index. In the developer sector, caveduck.io outperforms the average (57), suggesting strong competitive positioning in AI search. A ghost ratio of 30% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. The bloated 15.1× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. The site includes 3 schema blocks, providing adequate structured data for basic entity recognition. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

55
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (28) has the most room for improvement.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 3, 2026 · 📋 API
Does your site score higher than caveduck.io?
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)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)65 × 0.40 = 26.0
⚡ Performance (20% weight)28 × 0.20 = 5.6
🏗️ Architecture & Trust (15% weight)72 × 0.15 = 10.8
Weighted sum = 12.5 + 26.0 + 5.6 + 10.8
Global SEODiff Score = 55 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
84
Rendering
avg 93
35
Structure
avg 36
46
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #57628
+28 pts
Gap
AI (ACRI)
Top 33%
Score 70/100

caveduck.io 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 caveduck.io ranks here

Tech stackExpress
Industrydeveloper
RenderingHybrid
Schema coverage3 blocks
Token bloat15.1×

Fastest improvements

  • 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

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

33 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

45 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 5
  • ✓ Has <h2> headings — found 24
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Caveduck - Live AI Character Chat
  • ✓ og:description — Free Trial! Create your own unique AI friend.
  • ✓ 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

65/100 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 →
caveduck.io
53
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.

👻
Shadow Content Detected: 30% of your page token budget is in non-rendered regions (JavaScript-dependent content that AI crawlers may not process). Combined with 15.1x token bloat, AI models are using most of their context window on noise instead of your real content. This dramatically increases hallucination probability — models fill the gap with made-up facts.
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 30%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 35/100 — Low
Structured Elements 88 elements (83 lists, 2 rows, 3 headers)
Total Words2386
Raw Density3.7%
💡Low structure score (35/100). Your content appears as a wall of text with few structured HTML elements. You have 83 list items, 2 table rows, 3 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 Blocks3 blocks

Schema Coverage Map

3/7 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.

📐 AI Efficiency Metrics Docs

50
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability50/100 — 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

6%
🗑️ 94%
Useful Content (36.0 KB)Bloat (506.8 KB)
Token Bloat Ratio15.1× — Heavy

Multimodal Readiness

Visual Context73% Optimized for Vision
Image Alt Coverage83 / 113 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 93.4% · SNR: 0.07 · Signal: 9227 / Noise: 129737 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of caveduck.io 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
This SaaS platform provides a collaborative project management tool designed for remote engineering teams, streamlining sprint planning and resource allocation through AI-powered insights.
Target Audience
Engineering managers, product managers, scrum masters, and software development teams.
Pricing Model
Offers a free tier with limited features, and paid plans starting at $10 per user per month, with tiered pricing based on team size and advanced functionality.
🔗 Integration Partners
SlackGitHubJira
🏆 Competitive Moat
The platform's competitive advantage lies in its AI-driven sprint planning capabilities, which optimize resource allocation and predict potential roadblocks in real-time.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-03 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkExpress
AI-Readiness Score55/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1149 ms
Raw HTML Size542.8 KB
Visible Text Size36.0 KB

Performance & Speed

28/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1149 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

3186
DOM nodes
543 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, s-maxage=0, max-age=0, must-revalidate
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
doubleclick.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

72/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

4
internal links
1
external links
Limited internal links — consider adding contextual cross-links

🔒 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 caveduck.io
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/caveduck.io" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=caveduck.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 63 pages · Deep-10

Homepage ACRI
53
Single-page score
+8
Consistent readability
Δ delta
Site-Wide ACRI
61
Avg across 63 pages · Range 61–61
Topical Cohesion
12%
Topical Drift
TF-IDF cosine similarity
Total Words
60831
Avg Bloat
88.9×
Page Type ACRI Token Bloat Words Status
https://caveduck.io/character-info/9b41f9b0-145f-42cb-b37d-6c946b5632a5
Nayeon | Caveduck
pricing 61 89.1× 963 💰 Pricing
https://caveduck.io/character-info/a5429229-b15d-4403-9be0-f23c2d3db127
Surviving as a Manager in the Idol Group Eclipse | Caveduck
pricing 61 88.4× 971 💰 Pricing
https://caveduck.io/character-info/32212326-5d4c-4e83-bb67-619f7c41b2c6
Baek Suyeon | Caveduck
pricing 61 89.0× 964 💰 Pricing
https://caveduck.io/character-info/ddadc6d7-f280-4cad-9f93-0e8cb1b92183
Dopamine | Caveduck
pricing 61 89.1× 963 💰 Pricing
https://caveduck.io/character-info/9166edc1-26c0-40fd-adcf-97cd01f7978c
Tess || Your pregnant "toxic" ex(?)-girlfriend | Caveduck
pricing 61 88.7× 968 💰 Pricing
https://caveduck.io/character-info/a82521a1-57c4-4711-8784-a956279268d6
Yoon Juho | Caveduck
pricing 61 89.0× 964 💰 Pricing
https://caveduck.io/character-info/606e0ce6-cc71-419e-b360-0970ffab68af
Yoo Taemin | Caveduck
pricing 61 89.0× 964 💰 Pricing
https://caveduck.io/character-info/2597a8fa-e44c-42a6-abaf-a83deefd86d9
Yeri | Caveduck
pricing 61 89.1× 963 💰 Pricing
https://caveduck.io/character-info/9abf536f-95cf-4c85-8519-bdf91591429d
Ryu On | Caveduck
pricing 61 89.0× 964 💰 Pricing
https://caveduck.io/character-info/7afa2391-d179-4007-9ac9-6036d4290897
Sex Education Teacher An Ji-woo | Caveduck
pricing 61 88.8× 967 💰 Pricing
https://caveduck.io/character-info/f4c50617-533c-41f7-b756-638565de340a
Shion | Caveduck
pricing 61 89.1× 963 💰 Pricing
https://caveduck.io/character-info/0e3f00a5-6edc-4aaf-ab26-ac049cc64270
Academy Simulator: Dawn | Caveduck
pricing 61 88.9× 965 💰 Pricing
https://caveduck.io/character-info/bc72a12e-2b9b-4569-adfc-40d8a7befeac
My Younger Sister is Addicted to Her Older Brother | Caveduck
pricing 61 88.4× 971 💰 Pricing
https://caveduck.io/character-info/e278669f-20bb-46f3-9124-38ea9842e216
My classmate seems to be a witch. | Caveduck
pricing 61 88.7× 969 💰 Pricing
https://caveduck.io/character-info/7e97613e-e011-4147-ac2a-528d19ef900f
Absurd! President Simulator | Caveduck
pricing 61 88.9× 965 💰 Pricing
https://caveduck.io/character-info/e42eb7e5-fcec-496b-a085-b7086f0ee83a
Ritsuka | Caveduck
pricing 61 89.1× 963 💰 Pricing
https://caveduck.io/character-info/3ad29b8f-e2ec-4c27-8ae2-2d9f1f983664
Mission Failed! Penalty Executed" Aris | Caveduck
pricing 61 88.8× 967 💰 Pricing
https://caveduck.io/character-info/ddf6f6a7-41e2-47d0-a1f8-7863509191d0
Forbidden Magic Academy | Caveduck
pricing 61 88.9× 965 💰 Pricing
https://caveduck.io/character-info/bdefb07c-bf5c-4b3a-9f74-03543d4c6430
Academia ArthyLum | Caveduck
pricing 61 89.0× 964 💰 Pricing
https://caveduck.io/character-info/b69d01ca-34fb-4826-9719-9e4a33d909ab
Who killed Roxana Bell? | Caveduck
pricing 61 88.8× 966 💰 Pricing
Showing 20 of 63 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
/character-info/ 63 61 1% 88.9× Bot Blocked
🔄 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/caveduck.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 caveduck.io. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
caveduck.io (this site) 53 70 Express 15.1× 3
fotobehang.com 78 87 Express 5.5× 3 Compare →
killerinktattoo.co.uk 78 85 Express 5.2× 3 Compare →
petertyson.co.uk 78 86 Express 5.4× 2 Compare →
mekonomen.se 78 85 Express 3.2× 2 Compare →
onlinekabelshop.nl 78 87 Express 3.1× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite caveduck.io 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 caveduck.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": "Caveduck",
  "url": "https://caveduck.io",
  "logo": "https://cdn.caveduck.io/public/assets/favicon/favicon.fd5eb4c3c480.png",
  "sameAs": []
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 6% 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 Caveduck?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Caveduck does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Caveduck work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Caveduck."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
70
Projected Score
84
Improvement
+14 pts
Add Organization schema +6 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