qu.ai 66 C
🛡️ SEO 41 🤖 GEO 68 ⚡ Perf 74 🏗️ Arch 90

qu.ai — Global SEODiff Score 66/100

qu.ai
📊

qu.ai shows strong AI visibility with an ACRI of 70/100, outperforming 67% of indexed domains. Within the developer vertical, this places qu.ai above the industry average of 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. The bloated 19.5× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (41) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 7 Mar 20
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than qu.ai?
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)41 × 0.25 = 10.2
🤖 AI Readiness / GEO (40% weight)68 × 0.40 = 27.2
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)90 × 0.15 = 13.5
Weighted sum = 10.2 + 27.2 + 14.8 + 13.5
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
40
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 10%
Rank #98680
+24 pts
Gap
AI (ACRI)
Top 33%
Score 70/100

qu.ai 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 qu.ai ranks here

Tech stackNext.js
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat19.5×

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

41/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

12 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

116 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Quai Network
  • ✓ og:description — Quai Network is a set of EVM-compatible blockchains that achieves 50,000+ TPS without compromising decentralization.
  • ✓ 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

68/100 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 →
qu.ai
48
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.

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 40/100 — Fair
Structured Elements 46 elements (46 lists, 0 rows, 0 headers)
Total Words967
Raw Density4.8%

🏷️ 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

42
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability42/100 — AI models can partially extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

5%
🗑️ 95%
Useful Content (6.5 KB)Bloat (120.4 KB)
Token Bloat Ratio19.5× — Heavy

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage9 / 9 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: 94.9% · SNR: 0.05 · Signal: 1663 / Noise: 30818 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 qu.ai 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
Quai Network provides a blockchain infrastructure (Bronze Age) enabling users to run nodes and earn rewards ($QUAI) by contributing to
Target Audience
Developers, blockchain enthusiasts, and users interested in participating in decentralized networks and earning rewards.
Pricing Model
Rewards-based; users earn $QUAI tokens for running nodes and miners.
🔗 Integration Partners
GitHubDiscord
🏆 Competitive Moat
High transaction speeds (50k+ TPS) without compromising decentralization, combined with a structured rewards program and a simplified node setup process.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Complex node setup process
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-05

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
ServerVercel
CDNvercel
HTTP Status200
Load Time613 ms
Raw HTML Size126.9 KB
Visible Text Size6.5 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

613 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

698
DOM nodes
127 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate
  • ✗ CDN cache status
  • ✓ CDN detected → vercel

🔬 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

90/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

52
internal links
31
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 48/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for qu.ai
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/qu.ai" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=qu.ai" 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 44 pages · Deep-10

Homepage ACRI
48
Single-page score
+20
Subpages outperform homepage
Δ delta
Site-Wide ACRI
69
Avg across 44 pages · Range 0–90
Topical Cohesion
20%
Topical Drift
TF-IDF cosine similarity
Total Words
63711
Avg Bloat
11.9×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://qu.ai/blog/bronze-age-node/
Bronze Age Node Setup And Maintenance - Quai Network
pricing 90 4.8× 2707 💰 Pricing
https://qu.ai/blog/bronze-age-addresses-transactions/
How To Create Bronze Age Addresses And Send Transactions - Quai Network
pricing 85 5.7× 2126 💰 Pricing
https://qu.ai/blog/quai-quest-1-walkthrough/
Quai Quest 1 Walkthrough - Quai Network
pricing 85 7.1× 1611 💰 Pricing
https://qu.ai/blog/quai-networks-september-developer-roundup/
Quai Network's September Developer Roundup - Quai Network
pricing 85 7.0× 1649 💰 Pricing
https://qu.ai/blog/what-are-monolithic-and-multithreaded-blockchains/
What Are Monolithic And Multithreaded Blockchains? - Quai Network
pricing 85 7.1× 1609 ⚠️ RAG Fracture
https://qu.ai/blog/quai-networks-november-developer-update/
Quai Network's November Developer Update - Quai Network
pricing 85 7.3× 1615 💰 Pricing
https://qu.ai/blog/the-quai-network-ambassador-program/
The Quai Network Ambassador Program - Quai Network
pricing 85 6.5× 1768 💰 Pricing
https://qu.ai/blog/bronze-age-testnet-learnings/
Bronze Age Testnet - Conclusion & Learnings - Quai Network
pricing 85 6.7× 1774 💰 Pricing
https://qu.ai/blog/quai-networks-august-developer-roundup/
Quai Network's August Developer Roundup - Quai Network
pricing 85 7.0× 1780 💰 Pricing
https://qu.ai/blog/quai-quest-2-walkthrough/
Quai Quest 2 Walkthrough - Quai Network
pricing 85 6.3× 1939 💰 Pricing
https://qu.ai/blog/the-quai-dashboard-beta-is-live/
The Quai Dashboard Beta Is Live - Quai Network
pricing 85 5.7× 2144 💰 Pricing
https://qu.ai/blog/february-2023-developer-roundup/
Quai Network's February Developer Roundup - Quai Network
pricing 85 6.8× 1734 💰 Pricing
https://qu.ai/blog/consensus-2023/
Quai Network at Consensus 2023 - Quai Network
pricing 85 8.9× 1193 💰 Pricing
https://qu.ai/blog/january-developer-roundup/
Quai Network's January Developer Roundup - Quai Network
pricing 85 6.5× 1851 💰 Pricing
https://qu.ai/blog/crypto-payments/
Crypto Payments and Transactions On The Blockchain 101 - Quai Network
pricing 85 6.3× 1803 💰 Pricing
https://qu.ai/blog/april-dev-roundup/
Quai Network's April Developer Roundup - Quai Network
pricing 85 5.7× 2250 💰 Pricing
https://qu.ai/blog/a-brief-history-of-decentralization/
A Brief History Of Decentralization - Quai Network
pricing 85 5.6× 2136 💰 Pricing
https://qu.ai/blog/quai-network-telegram-sticker-competition/
Quai Network Telegram Sticker Competition - Quai Network
pricing 85 9.1× 1159 💰 Pricing
https://qu.ai/blog/this-week-in-quai-3/
This Week in Quai 5/26/23 - Quai Network
pricing 85 5.9× 2094 💰 Pricing
https://qu.ai/blog/stone-age-testnet/
Quai Network Launches Stone Age Testnet - Quai Network
pricing 85 8.4× 1262 💰 Pricing
Showing 20 of 44 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/ 35 85 0% 6.9× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 52 1% 282.3× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 44 pages
github.com ×36
twitter.com ×36
youtube.com ×35
wellfound.com ×35
instagram.com ×35
discord.gg ×35
quainetworkcommunity.notion.site ×35
ecosystem.quai.network ×35
🔄 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/qu.ai

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

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📊 Semantic Share of Voice

How often would an AI cite qu.ai 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 qu.ai. 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": "Qu",
  "url": "https://qu.ai",
  "logo": "https://qu.ai/icon.svg?9da9679dbf634d50",
  "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": "Qu",
  "url": "https://qu.ai",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://qu.ai/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 5% 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 Qu?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Qu does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Qu work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Qu."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for qu.ai:

Current Score
70
Projected Score
88
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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