avid.wiki 63 C
🛡️ SEO 55 🤖 GEO 74 ⚡ Perf 33 🏗️ Arch 87

avid.wiki — Global SEODiff Score 63/100

avid.wiki
📊

avid.wiki achieves a 79/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. In the social sector, avid.wiki outperforms the average (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. The bloated 17.5× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (33) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 7 Mar 21
🔔 Recent AI Indexing Activity
📈 Mar 11 ACRI +1 (61→62)
Does your site score higher than avid.wiki?
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)55 × 0.25 = 13.8
🤖 AI Readiness / GEO (40% weight)74 × 0.40 = 29.6
⚡ Performance (20% weight)33 × 0.20 = 6.6
🏗️ Architecture & Trust (15% weight)87 × 0.15 = 13.0
Weighted sum = 13.8 + 29.6 + 6.6 + 13.0
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
72
Structure
avg 35
2
Schema
avg 9
95
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #58227
Aligned
Gap
AI (ACRI)
Top 9%
Score 79/100

avid.wiki has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why avid.wiki ranks here

Tech stackMediaWiki
Industrysocial
RenderingSSR
Schema coverage1 blocks
Token bloat17.5×

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

55/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

58 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

87 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✓ Canonical tag present → https://www.avid.wiki/Main_Page
  • ✓ 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 — Main Page
  • ✓ og:description — Explore Audiovisual Branding Explore Informational Bumpers Explore Technical Ephemera
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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 social sector, martin-sad.ru (ACRI: 87) 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 →
avid.wiki
62
Your ACRI Score
87
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. martin-sad.ru has schema coverage of 63 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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 72/100 — Good
Structured Elements 219 elements (160 lists, 59 rows, 0 headers)
Total Words1400
Raw Density15.6%

🏷️ Schema Health Docs

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

Schema Coverage Map

1/7 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

53
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostMedium (60/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

5%
🗑️ 95%
Useful Content (15.7 KB)Bloat (259.0 KB)
Token Bloat Ratio17.5× — Heavy

Multimodal Readiness

Visual Context22% Optimized for Vision
Image Alt Coverage23 / 106 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 22% 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: 94.3% · SNR: 0.06 · Signal: 4014 / Noise: 66301 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 avid.wiki 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
Finnkino Oy is a Finnish film distributor and cinema chain that maintains a database of audiovisual identities and film information.
Target Audience
Film archivists, cinephiles, Finnish film enthusiasts, researchers, and potentially content creators interested in Finnish cinema.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Extensive and curated database of Finnish film history and audiovisual content, combined with a detailed historical analysis and metadata.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Template comparison pagesIntegration directory pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkMediaWiki
AI-Readiness Score95/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1283 ms
Raw HTML Size274.7 KB
Visible Text Size15.7 KB

Performance & Speed

33/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1283 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

3470
DOM nodes
275 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → s-maxage=432000, must-revalidate, max-age=0
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 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

87/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.avid.wiki/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

531
internal links
19
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 62/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for avid.wiki
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/avid.wiki" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=avid.wiki" 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 73 pages · Deep-10

Homepage ACRI
62
Single-page score
-10
Moderate hidden bloat
Δ delta
Site-Wide ACRI
52
Avg across 73 pages · Range 0–85
Topical Cohesion
4%
Topical Drift
TF-IDF cosine similarity
Total Words
70344
Avg Bloat
37.7×
RAG Fractures [?]
16
⚠️
16 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 16 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.avid.wiki/Screen_Gems_Television
Screen Gems Television - Audiovisual Identity Database
pricing 85 7.7× 6812 ⚠️ RAG Fracture
https://www.avid.wiki/User_talk:Camenati
User talk:Camenati - Audiovisual Identity Database
pricing 85 6.6× 10399 💰 Pricing
https://www.avid.wiki/Finnkino
Finnkino - Audiovisual Identity Database
pricing 85 9.6× 4234 ⚠️ RAG Fracture
https://www.avid.wiki/Columbia_Pictures_Television
Columbia Pictures Television - Audiovisual Identity Database
pricing 85 6.2× 9081 ⚠️ RAG Fracture
https://www.avid.wiki/SF_Film_Finland
SF Film Finland - Audiovisual Identity Database
pricing 75 10.8× 2964 ⚠️ RAG Fracture
https://www.avid.wiki/Napoleon_Sound_And_Music
Napoleon Sound And Music - Audiovisual Identity Database
pricing 75 14.3× 1488 ⚠️ RAG Fracture
https://www.avid.wiki/Suomi-Filmi
Suomi-Filmi - Audiovisual Identity Database
pricing 75 11.9× 2141 ⚠️ RAG Fracture
https://www.avid.wiki/Adams_Filmi
Adams Filmi - Audiovisual Identity Database
pricing 75 13.2× 1807 ⚠️ RAG Fracture
https://www.avid.wiki/Fennada-Filmi_(Markku_P%C3%B6l%C3%B6nen)
Fennada-Filmi (Markku Pölönen) - Audiovisual Identity Database
pricing 75 12.6× 1935 ⚠️ RAG Fracture
https://www.avid.wiki/Kuvanaamat
Kuvanaamat - Audiovisual Identity Database
pricing 75 14.0× 1583 ⚠️ RAG Fracture
https://www.avid.wiki/Suomen_Filmiteollisuus
Suomen Filmiteollisuus - Audiovisual Identity Database
pricing 75 13.4× 1649 ⚠️ RAG Fracture
https://www.avid.wiki/Vasarakuva_Oy
Vasarakuva Oy - Audiovisual Identity Database
pricing 75 13.8× 1543 ⚠️ RAG Fracture
https://www.avid.wiki/AVID:About
AVID:About - Audiovisual Identity Database
pricing 75 14.2× 608 💰 Pricing
https://www.avid.wiki/Runoelma_Films
Runoelma Films - Audiovisual Identity Database
pricing 75 13.9× 1568 ⚠️ RAG Fracture
https://www.avid.wiki/Talk:Main_Page
Talk:Main Page - Audiovisual Identity Database
pricing 75 10.5× 4652 💰 Pricing
https://www.avid.wiki/Rabbit_Films
Rabbit Films - Audiovisual Identity Database
pricing 75 11.2× 3254 ⚠️ RAG Fracture
https://www.avid.wiki/Suomen_Filmiteollisuus_(1933-1965)
Suomen Filmiteollisuus (1933-1965) - Audiovisual Identity Database
pricing 75 13.1× 1709 ⚠️ RAG Fracture
https://www.avid.wiki/Template:User_talk_other/doc
Template:User talk other/doc - Audiovisual Identity Database
pricing 72 17.2× 520 💰 Pricing
https://www.avid.wiki/Template:CatAutoTOC/doc
Template:CatAutoTOC/doc - Audiovisual Identity Database
pricing 72 16.4× 719 💰 Pricing
https://www.avid.wiki/User:VPJHuk
User:VPJHuk - Audiovisual Identity Database
pricing 72 14.5× 690 💰 Pricing
Showing 20 of 73 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
/User:Doctorine_Dark/ 2 54 0% 366.5× High JS Bloat
/Screen_Gems_Television/ 1 85 0% 7.7× High JS Bloat
/User:SoraThePanFloof/ 1 47 0% 45.4× High JS Bloat
/User:LogoartoBot/ 1 47 0% 58.5× High JS Bloat
/User:BoyOnTheMoon/ 1 47 0% 65.8× High JS Bloat
/Finnkino/ 1 85 0% 9.6× High JS Bloat
/SF_Film_Finland/ 1 75 0% 10.8× High JS Bloat
/Adams_Filmi/ 1 75 0% 13.2× High JS Bloat
/Vasarakuva_Oy/ 1 75 0% 13.8× High JS Bloat
/User:Dison/ 1 57 0% 35.7× High JS Bloat
/File:Gotham-Medium.otf/ 1 57 0% 34.9× High JS Bloat
/Columbia_Pictures_Television/ 1 85 0% 6.2× High JS Bloat
/Suomen_Filmiteollisuus_(1933-1965)/ 1 75 0% 13.1× High JS Bloat
/User_talk:2601:198:103:9270:ED62:F67B:E1C7:C4BA/ 1 57 0% 26.8× High JS Bloat
/File:Gotham-Bold.otf/ 1 57 0% 34.8× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 73 pages
twitter.com ×63
ko-fi.com ×63
youtube.com ×63
discord.gg ×63
meta.miraheze.org ×63
bsky.app ×63
instagram.com ×63
osca.avid.wiki ×63
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/avid.wiki

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

🔗 Similar social Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
avid.wiki (this site) 62 79 MediaWiki 17.5× 1
kvaclub.ru 81 90 WordPress 6.0× 1 Compare →
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fathimaparvin.com 82 90 WordPress 5.9× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite avid.wiki 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 avid.wiki. 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": "Wiki",
  "url": "https://avid.wiki",
  "logo": "https://static.wikitide.net/avidwiki/3/33/AVID_Favicon.webp",
  "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": "Wiki",
  "url": "https://avid.wiki",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://avid.wiki/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 Wiki?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Wiki does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Wiki work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Wiki."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for avid.wiki:

Current Score
79
Projected Score
97
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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