voc.ai 72 B
🛡️ SEO 59 🤖 GEO 74 ⚡ Perf 74 🏗️ Arch 84

voc.ai — Global SEODiff Score 72/100

voc.ai
📊

Among all indexed domains, voc.ai ranks in the top echelon with an ACRI of 85, demonstrating that its content is highly visible to AI systems. Compared to other infrastructure sites (avg score: 57), voc.ai performs above the benchmark, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. Token bloat registers at 12.0× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. With 5 JSON-LD schema blocks, the site provides explicit machine-readable metadata that enhances AI comprehension. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

72
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (59) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 1 Mar 21
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than voc.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)59 × 0.25 = 14.8
🤖 AI Readiness / GEO (40% weight)74 × 0.40 = 29.6
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)84 × 0.15 = 12.6
Weighted sum = 14.8 + 29.6 + 14.8 + 12.6
Global SEODiff Score = 72 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
47
Structure
avg 35
90
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 9%
Rank #86631
-6 pts
Gap
AI (ACRI)
Top 2%
Score 85/100

voc.ai is more visible to Google than to AI models. There's room to improve AI discoverability to match your search reputation. ACRI measures technical crawler readiness. Read the methodology →

Why voc.ai ranks here

Tech stackNext.js
RenderingSSR
Schema coverage5 blocks
Token bloat12.0×

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

59/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

126 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

129 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.voc.ai/insight/new
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — VOC AI | The Only Unified Customer Experience Mangement Platform: Where Customer Insights Fuse with Solvea-AI Agent Excellence
  • ✓ og:description — Cut costs, increase customer satisfaction and boost your revenue with VOC AI's game-changing AI-driven customer service solution.
  • ✓ 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

74/100 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 →
voc.ai
61
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 47/100 — Fair
Structured Elements 46 elements (46 lists, 0 rows, 0 headers)
Total Words685
Raw Density6.7%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ✅ Present
Total Schema Blocks5 blocks

Schema Coverage Map

4/7 schema types detected
✅ Organization
✅ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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

70
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability70/100 — AI models can easily 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

8%
🗑️ 92%
Useful Content (5.3 KB)Bloat (58.4 KB)
Token Bloat Ratio12.0× — Normal

Multimodal Readiness

Visual Context4% Optimized for Vision
Image Alt Coverage1 / 27 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 4% 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: 91.7% · SNR: 0.09 · Signal: 1358 / Noise: 14941 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 voc.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
VOC AI provides AI-powered solutions for e-commerce businesses, specifically focusing on analyzing Amazon customer reviews to identify product opportunities and optimize listings.
Target Audience
Amazon sellers, e-commerce entrepreneurs, product managers, and marketing professionals.
Pricing Model
Subscription-based, with a free trial and various tiers based on usage and features.
🔗 Integration Partners
Helium 10ReviewMetaSmartScout
🏆 Competitive Moat
AI-powered analysis of Amazon customer reviews, providing actionable insights for product selection and listing optimization, differentiating it from basic review counting tools.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Reactive cycle of manual negative review checks
• Reliance on gut feeling for product selection
• Blindness to competitor analysis
• Difficulty understanding consumer needs
• Lack of actionable insights from customer reviews
Analyzed by SEODiff AI · 2026-03-04

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servernginx/1.18.0 (Ubuntu)
CDN
HTTP Status200
Load Time630 ms
Raw HTML Size63.7 KB
Visible Text Size5.3 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

630 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

519
DOM nodes
64 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, s-maxage=300, stale-while-revalidate=600
  • ✗ 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

84/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.voc.ai/blog_sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

40
internal links
12
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 61/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for voc.ai
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/voc.ai" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=voc.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 49 pages · Deep-10

Homepage ACRI
61
Single-page score
-15
Moderate hidden bloat
Δ delta
Site-Wide ACRI
47
Avg across 49 pages · Range 0–61
🔍
Hidden Bloat Detected

Homepage scores 61, but internal pages average only 47 — a -15-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
14%
Topical Drift
TF-IDF cosine similarity
Total Words
93625
Avg Bloat
53.1×
RAG Fractures [?]
41
⚠️
41 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 41 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.voc.ai/blog/best-amazon-seller-tools
The 5 Best Amazon Seller Tools You Need This Year
pricing 61 69.4× 1787 ⚠️ RAG Fracture
https://www.voc.ai/blog/best-amazon-product-research-tools
7 Best Amazon Product Research Tools 2026: Stop Guessing
pricing 61 52.3× 2450 ⚠️ RAG Fracture
https://www.voc.ai/blog/best-amazon-competitor-analysis-tools
7 Best Amazon Competitor Analysis Tools 2026
pricing 61 52.3× 2493 ⚠️ RAG Fracture
https://www.voc.ai/blog/how-to-find-winning-products-amazon-keyword-analysis
How to Find Winning Products on Amazon Using Keyword Analysis
pricing 61 68.6× 1807 ⚠️ RAG Fracture
https://www.voc.ai/blog/create-amazon-campaign-with-amc-and-voc
Unlocking High-Conversion Ads: VOC AI × AMC Synergy
pricing 61 67.2× 1805 ⚠️ RAG Fracture
https://www.voc.ai/blog/valentines-day-ecommerce-product-optimization
Maximizing Valentine's Day Sales: Last-Minute Optimization Tips
pricing 61 97.0× 1227 ⚠️ RAG Fracture
https://www.voc.ai/blog/amazon-review-analysis-voc-strategy
How to optimize product page based on amazon review analysis
pricing 61 41.5× 3097 ⚠️ RAG Fracture
https://www.voc.ai/blog/best-amazon-seller-resources
The Ultimate List of Amazon Seller Resources to Bookmark in 2026
pricing 61 60.8× 2026 ⚠️ RAG Fracture
https://www.voc.ai/blog/sites-like-ebay
Top 5 Sites Like eBay in 2025: Marketplace Comparison & Review
pricing 61 39.8× 3139 ⚠️ RAG Fracture
https://www.voc.ai/blog/amazon-a-content-guide
Everything About Amazon A+ Content: Enhance Listings & Showcase P
pricing 61 39.0× 3200 ⚠️ RAG Fracture
https://www.voc.ai/blog/best-amazon-listing-optimization-tools
6 Best Amazon Listing Optimization Tools 2026
pricing 61 54.0× 2374 ⚠️ RAG Fracture
https://www.voc.ai/blog/how-to-handle-amazon-negative-reviews
How to Handle Amazon Negative Reviews
pricing 61 98.3× 1220 ⚠️ RAG Fracture
https://voc.ai/blog
VOC Blog: VOC Insights, Strategies, and Best Practices - Shulex VOC
pricing 61 77.3× 1663 ⚠️ RAG Fracture
https://voc.ai/pricing
Shulex Pricing | Plans starting from just $79/month
pricing 53 127.3× 962 ⚠️ RAG Fracture
https://www.voc.ai/blog/aliexpress-dropshipping
AliExpress Dropshipping: Complete 2026 Guide to the Business Mode
pricing 53 51.9× 2427 ⚠️ RAG Fracture
https://www.voc.ai/blog/amazon-glitch
Amazon Glitch: What It Is, How It Works, and Why It Matters
pricing 53 46.0× 2790 ⚠️ RAG Fracture
https://www.voc.ai/blog/how-to-turn-1000-dollars-into-5000-dollars-in-a-month
How to Turn $1,000 into $5,000 in One Month: Complete Guide
pricing 53 53.5× 2384 ⚠️ RAG Fracture
https://www.voc.ai/blog/amazon-fbm-guide
The Ultimate 2024 Guide to Succeed with Amazon FBM
pricing 53 46.2× 3007 ⚠️ RAG Fracture
https://www.voc.ai/blog/amazon-marketplace-seller-news-today
Amazon Marketplace: Fee Updates, Policy Changes & Seller Strategi
pricing 53 50.8× 2624 ⚠️ RAG Fracture
https://www.voc.ai/blog/where-can-i-sell-my-shoes
How SoleRevive Can Unlock Value in the 2024 Shoe Resale Market wi
pricing 53 53.1× 2334 ⚠️ RAG Fracture
Showing 20 of 49 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/ 40 56 1% 56.8× Bot Blocked
/docs/ 1 23 1% 202.8× Bot Blocked
/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
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 53 1% 127.3× Bot Blocked
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔄 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/voc.ai

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 voc.ai. Compare side-by-side.

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📊 Semantic Share of Voice

How often would an AI cite voc.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 voc.ai. 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 8% 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 Voc?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Voc does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Voc work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Voc."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
85
Projected Score
93
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