viki.com shows strong AI visibility with an ACRI of 75/100, outperforming 82% of indexed domains. Within the infrastructure vertical, this places viki.com above the industry average of 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. Heavy markup overhead (33.6× bloat) forces AI systems to wade through excess code before finding useful information. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.
58
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — AI Readiness (47) needs urgent attention.
Top Fix: Reduce token bloat (34×) → +5–10 pts
Does your site score higher than viki.com?
Run the same 40-signal audit on your own domain — free, instant results.
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)47 × 0.40 = 18.8
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)91 × 0.15 = 13.7
Weighted sum = 16.0 + 18.8 + 9.4 + 13.7
Global SEODiff Score = 58 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
31
Structure
avg 35
44
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.8%
Rank #8122
+18 pts
Gap
AI (ACRI)
Top 18%
Score 75/100
viki.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 viki.com ranks here
Fastest improvements
- Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
- Create an
llms.txtfile 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 →
Traditional SEO
64/100 25 % of Global Score 🟢 High Confidence📝 Title Tag
60 chars
Good length
Optimal range: 30–60 characters for SERP display.
📋 Meta Description
139 chars
Good length
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
- ✗ Exactly 1 <h1> tag — found 2
- ✗ Has <h2> headings — found 0
- ✓ <h2> not before <h1>
🔍 Indexability
- ✓ Canonical tag present →
https://www.viki.com - ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
en - ✓ Hreflang tags
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✓ og:title — Watch K-Dramas, Korean Shows & Chinese Dramas | Rakuten Viki
- ✓ og:description — Stream FREE Asian Dramas & Movies with English subtitles: Korean, Chinese, Japanese Dramas & more. From romance to action, find it on Viki!
- ✓ og:image — preview
- ✓ twitter:card — app
📐 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
47/100 40 % of Global Score 🟢 High ConfidenceThis pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.
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 →
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.
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
📊 Structure & Information Density Docs
Structure Grade
31/100 — Low
Structured Elements
32 elements (32 lists, 0 rows, 0 headers)
Total Words1091
Raw Density2.9%
Low structure score (31/100). Your content appears as a wall of text with few structured HTML elements. You have 32 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.
🏷️ Schema Health Docs
Organization Schema
✅ Present
Product / Service Schema
⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)
Schema Coverage Map
2/7 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.
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
48
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability48/100 — AI models can partially extract answers from this page
Crawl CostMedium (65/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked
Token Bloat Research
Useful Content (6.1 KB)Bloat (199.5 KB)
Token Bloat Ratio33.6× — Bloated
Multimodal Readiness
Visual Context89% Optimized for Vision
Image Alt Coverage58 / 65 images have alt text
TDM Rights
TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
Your HTML is 205.6 KB, but only 6.1 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (33.6×) 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: 97.0% ·
SNR: 0.03 ·
Signal: 1566 / Noise: 51072 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.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖
AI Answer Preview
NEWSee how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.
Simulating AI extraction…
🔧 Tech Stack
FrameworkNext.js
AI-Readiness Score70/100
Serverenvoy
CDN—
HTTP Status200
Load Time1144 ms
Raw HTML Size205.6 KB
Visible Text Size6.1 KB
Performance & Speed
47/100 20 % of Global Score 🟢 High Confidence⏱️ Time to First Byte
1144 ms
Slow — bots may time out or deprioritise
Google considers <200 ms "good". AI crawlers may have even shorter timeouts.
📦 Page Weight
1488
DOM nodes
DOM nodes
206 KB
HTML payload
HTML payload
Moderate weight — acceptable for most scenarios
🗄️ Cache & CDN
- ✓ Cache-Control header →
private, no-cache, no-store, max-age=0, must-revalidate - ✗ CDN cache status
- ✗ CDN detected
🔬 Tracker Tax
2
tracker scripts
tracker scripts
2
third-party domains
third-party domains
24.5%
token overhead
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.comdoubleclick.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
91/100 15 % of Global Score 🟢 High Confidence🗺️ Sitemap & Robots
- ✓ Sitemap declared in robots.txt →
http://www.viki.com/sitemap.xml - ✓ Googlebot allowed
- ✓ GPTBot allowed
- ✓ ClaudeBot allowed
🔗 Linking
69
internal links
internal links
12
external links
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 52/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/viki.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=viki.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 317 pages · Deep-10
-16
Moderate hidden bloat
Δ delta
Hidden Bloat Detected
Homepage scores 52, but internal pages average only 36 — a -16-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.
Total Words
18703
Avg Bloat
60.6×
Ext. Citations
1
| Page | Type | ACRI | Token Bloat | Words | Status |
|---|---|---|---|---|---|
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
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| product | 36 | 60.6× | 59 | ✓ | |
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| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ | |
| other | 36 | 60.6× | 59 | ✓ |
🔗
Outbound External Citations
1 unique external domains cited across 317 pages
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/viki.comGet your free API key — 100 requests/month included.
🔗 Similar infrastructure Sites
Domains with a similar tech stack, industry, and AI readiness profile to viki.com. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| viki.com (this site) | 52 | 75 | Next.js | 33.6× | 2 | — |
| alcione.mx | 52 | 76 | Next.js | 34.2× | 2 | Compare → |
| tiendeo.it | 52 | 69 | Next.js | 34.3× | 2 | Compare → |
| reactbricks.com | 53 | 79 | Next.js | 33.3× | 2 | Compare → |
| uniscribe.co | 53 | 71 | Next.js | 34.0× | 2 | Compare → |
| tiendeo.mx | 52 | 68 | Next.js | 34.5× | 2 | Compare → |
🩹
Remediation Patches
COPY-PASTEAuto-generated code fixes tailored to viki.com. 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 2% 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 Viki?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Viki does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Viki work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Viki."
}
}
]
}
</script>
📈
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for viki.com:
Current Score
75
Projected Score
83
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
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All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).
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Thin/duplicate tracking
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