quago.io 69 C
🛡️ SEO 73 🤖 GEO 72 ⚡ Perf 49 🏗️ Arch 83

quago.io — Global SEODiff Score 69/100

quago.io
📊

quago.io shows strong AI visibility with an ACRI of 79/100, outperforming 91% of indexed domains. Within the infrastructure vertical, this places quago.io above the industry average of 58 —, suggesting strong competitive positioning in AI search. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. Token bloat registers at 14.1× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (49) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
Does your site score higher than quago.io?
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)73 × 0.25 = 18.2
🤖 AI Readiness / GEO (40% weight)72 × 0.40 = 28.8
⚡ Performance (20% weight)49 × 0.20 = 9.8
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 18.2 + 28.8 + 9.8 + 12.4
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
47
Structure
avg 36
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #13185
+8 pts
Gap
AI (ACRI)
Top 9%
Score 79/100

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

Why quago.io ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat14.1×

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

73/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

12 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

137 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Home - Quago
  • ✓ og:description — Detect in-game cheating and UA fraud with confidence. Quago combines sensor-based data and advanced models for accurate, trusted results.
  • ✓ 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

72/100 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 →
quago.io
57
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 47/100 — Fair
Structured Elements 41 elements (41 lists, 0 rows, 0 headers)
Total Words609
Raw Density6.7%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

3/7 schema types detected
✅ Organization
❌ Product/Service
✅ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

57
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability57/100 — 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

7%
🗑️ 93%
Useful Content (7.7 KB)Bloat (100.4 KB)
Token Bloat Ratio14.1× — Normal

Multimodal Readiness

Visual Context61% Optimized for Vision
Image Alt Coverage14 / 23 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: 92.9% · SNR: 0.08 · Signal: 1963 / Noise: 25711 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 quago.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
Dan Blechner’s tool helps gaming companies detect and respond to various cheating behaviors, providing a holistic approach to in-game protection
Target Audience
Game developers, live operations teams, anti-cheat specialists, and game studio executives.
Pricing Model
Not specified in text - likely SaaS subscription based on features and usage.
🔗 Integration Partners
CAPTCHAs2FA
🏆 Competitive Moat
AI-powered cheat detection and a comprehensive understanding of cheating typologies and motivations, leading to more effective policy and response strategies.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Inadequate perimeter defenses against cheating
• Lack of granular user segmentation for tailored responses
• Difficulty detecting advanced cheating tactics
• Reliance on CAPTCHAs that are easily bypassed
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-01 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time4025 ms
Raw HTML Size108.1 KB
Visible Text Size7.7 KB

Performance & Speed

49/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

4025 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

462
DOM nodes
108 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

3
tracker scripts
2
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.comgoogle-analytics
📐 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 → https://quago.io/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

62
internal links
2
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-US
  • ✓ 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 57/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for quago.io
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/quago.io" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=quago.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 21 pages · Deep-10

Homepage ACRI
57
Single-page score
+5
Consistent readability
Δ delta
Site-Wide ACRI
63
Avg across 21 pages · Range 30–90
Topical Cohesion
10%
Topical Drift
TF-IDF cosine similarity
Total Words
37989
Avg Bloat
63.6×
Page Type ACRI Token Bloat Words Status
https://quago.io/blog/author/dan/
Dan Blechner, Author at Quago
blog 90 3.8× 10488
https://quago.io/blog/author/shachar/
Shachar Keidar, Author at Quago
blog 85 6.1× 5370
https://quago.io/blog/the-comprehensive-guide-to-in-game-cheating-typologies/
The Comprehensive Guide to In-Game Cheating Typologies - Quago
blog 82 8.1× 3271
https://quago.io/blog/the-cost-of-cheating-in-online-gaming/
The cost of cheating in online gaming: How its affect the industry
blog 82 7.7× 3818
https://quago.io/quago-privacy-policy/
Privacy Policy & TOS - Quago
legal 82 9.3× 2531
https://quago.io/blog/mitigating-online-game-cheating/
Beyond the Ban: Advanced Techniques for Mitigating Online Game Cheating - Quago
blog 72 12.7× 1955
https://quago.io/blog/mitigating-in-game-cheating-an-overview-of-modern-anti-cheat-strategies/
Mitigating in-game cheating with tech innovation
blog 72 12.5× 2003
https://quago.io/blog/online-gaming-churn-prediction/
Online gaming churn-prediction - 2024 challenges and methods
blog 69 14.2× 1706
https://quago.io/blog/the-impact-of-cheating-in-online-gaming/
The Impact of Cheating in Online Gaming: Insights for 2025 - Quago
blog 69 14.0× 1818
https://quago.io/blog/inside-the-underworld-of-commercial-cheating-operations/
Inside the Underworld of Commercial Cheating Operations - Quago
blog 69 15.9× 1572
https://quago.io/blog/career/senior-data-scientist/
Senior Data Scientist - Quago
blog 61 37.0× 540
https://quago.io/blog/careers/category-1/
category 1 Archives - Quago
blog 61 34.4× 613
https://quago.io/technology/
Sensor-Based Game Analytics Technology - Quago
other 61 30.7× 671
https://quago.io/blog/quago-cheat-management-databricks/
Quago Levels Up Cheat Management With Databricks
blog 51 75.9× 291
https://quago.io/blog/quago-interview-gamesforum-dan-blechner/
Gamesforum Interviews Quago's Co-founder Dan Blechner
blog 51 72.5× 305
https://quago.io/blog/case-study-marketplace-cheating-mobile-game/
How Quago Removed 600,000 Cheaters in 6 Months and Restored a Fair In-Game Economy - Quago
blog 51 88.9× 246
https://quago.io/blog/gdc-2025-panel-bots-cost/
The Cost of Cheating in Games – GDC 2025 Panel
blog 51 81.8× 271
https://quago.io/blog-quago-in-game-analytics/
Blog - Quago
blog 51 96.1× 213
https://quago.io/quago-career-opportunities/
Join the team - Quago
careers 41 223.5× 80
https://quago.io/quago-about-us/
Company - Quago
about 41 105.4× 181
Showing 20 of 21 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
/blog/ 15 68 0% 32.4× High JS Bloat
/quago-privacy-policy/ 1 82 0% 9.3× High JS Bloat
/technology/ 1 61 1% 30.7× Bot Blocked
/blog-quago-in-game-analytics/ 1 51 1% 96.1× Bot Blocked
/quago-career-opportunities/ 1 41 1% 223.5× Bot Blocked
/quago-about-us/ 1 41 1% 105.4× Bot Blocked
/quago-contact-us/ 1 30 1% 383.9× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 21 pages
x.com ×21
linkedin.com ×21
facebook.com ×13
twitter.com ×12
il.linkedin.com ×5
adjust.com ×4
theverge.com ×3
dexerto.com ×2
🔄 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/quago.io

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
quago.io (this site) 57 79 WordPress 14.1× 1
nordicwelfare.org 82 90 WordPress 4.9× 1 Compare →
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🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to quago.io. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 7% 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 Quago?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Quago does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Quago work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Quago."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
79
Projected Score
87
Improvement
+8 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