vintagedancer.com 68 C
🛡️ SEO 41 🤖 GEO 80 ⚡ Perf 65 🏗️ Arch 83

vintagedancer.com — Global SEODiff Score 68/100

vintagedancer.com
📊

With an ACRI of 89/100, vintagedancer.com stands out as one of the highest-performing sites in AI search visibility, outranking 99% of its peers. Compared to other infrastructure sites (avg score: 58), vintagedancer.com performs above the benchmark, 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. A 14.1× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

68
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (41) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 27, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 24 Feb 27
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than vintagedancer.com?
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)80 × 0.40 = 32.0
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 10.2 + 32.0 + 13.0 + 12.4
Global SEODiff Score = 68 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
94
Structure
avg 36
44
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 13%
Rank #133634
-12 pts
Gap
AI (ACRI)
Top 1%
Score 89/100

vintagedancer.com 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 vintagedancer.com ranks here

Tech stackWordPress
RenderingSSR
Schema coverage2 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

41/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

50 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

161 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 5
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✓ 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

80/100 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 →
vintagedancer.com
75
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 94/100 — Excellent
Structured Elements 307 elements (307 lists, 0 rows, 0 headers)
Total Words1163
Raw Density26.4%

🏷️ 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

71
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability71/100 — 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

7%
🗑️ 93%
Useful Content (9.2 KB)Bloat (120.2 KB)
Token Bloat Ratio14.1× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage5 / 5 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: 2344 / Noise: 30767 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/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of vintagedancer.com 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
Vintage inspired clothing, costumes, and fashion history
Target Audience
Fashion enthusiasts, history lovers, and DIY costume makers
Pricing Model
Not explicitly mentioned
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-26 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time551 ms
Raw HTML Size129.3 KB
Visible Text Size9.2 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

551 ms
Acceptable — room for improvement

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

📦 Page Weight

1163
DOM nodes
129 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=600, must-revalidate
  • ✓ CDN cache status → HIT
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

2
tracker scripts
2
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.comgooglesyndication.com
📐 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://vintagedancer.com/wp-sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

324
internal links
0
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 75/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for vintagedancer.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/vintagedancer.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=vintagedancer.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 997 pages · Deep-10

Homepage ACRI
75
Single-page score
-1
Consistent readability
Δ delta
Site-Wide ACRI
74
Avg across 997 pages · Range 49–90
Topical Cohesion
20%
Topical Drift
TF-IDF cosine similarity
Total Words
1586880
Avg Bloat
30.5×
Page Type ACRI Token Bloat Words Status
https://vintagedancer.com/1950s/1950s-fashion-women-get-look/
What Did Women Wear in the 1950s? 1950s Fashion Guide
other 90 8.6× 5625
https://vintagedancer.com/1980s/80s-fashion-what-women-wore-in-the-1980s/
80s Fashion - What Women Wore in the 1980s
other 90 8.1× 7101
https://vintagedancer.com/1940s/1940s-costume-ideas/
1940s Costume & 40s Outfit Ideas - 16 Women's Looks
pricing 90 8.5× 4927 💰 Pricing
https://vintagedancer.com/victorian/1880s-fashion/
1880s Fashion History - Dresses, Clothing, Costumes
other 90 7.8× 6907
https://vintagedancer.com/1940s/a-1940s-men-suit-style-guide/
1940s Men’s Fashion Clothing Styles
pricing 90 8.9× 5276 💰 Pricing
https://vintagedancer.com/1950s/1950s-greasers-everything-you-know-about-greasers-is-wrong/
1950s Greasers: Everything You Know about Greasers is Wrong
pricing 90 7.3× 6114 💰 Pricing
https://vintagedancer.com/1920s/1920s-womens-fashion/
1920s Fashion & Women's Clothing Trends
other 90 8.7× 4512
https://vintagedancer.com/1980s/80s-mens-fashion-clothing-for-guys/
80s Men's Fashion & Clothing for Guys
other 90 9.3× 5977
https://vintagedancer.com/1940s/1940s-mens-fashion/
1940s Men’s Fashion Clothing Styles
pricing 90 8.9× 5276 💰 Pricing
https://vintagedancer.com/1970s/1970s-fashion-history/
70s Fashion | What Did Women Wear in the 1970s?
other 90 9.4× 5929
https://vintagedancer.com/victorian/victorian-mens-formal-wear-with-modern-clothes/
Victorian Men's Tuxedo, Tailcoats, Formalwear Guide
pricing 90 9.5× 4249 💰 Pricing
https://vintagedancer.com/vintage/vintage-halloween-costumes-ideas/
50 Vintage Halloween Costume Ideas
pricing 90 8.5× 6931
https://vintagedancer.com/1960s/10-hippie-outfit-ideas-for-men/
10 Hippie Outfit Ideas for Men
other 90 9.6× 3191
https://vintagedancer.com/victorian/victorian-purses-edwardian-handbags/
Victorian Purses, Bags and Handbags History
other 90 9.7× 3700
https://vintagedancer.com/1930s/1930s-mens-casual-fashion/
1930s Men's Casual Fashion, Clothing, Outfits
pricing 90 9.8× 4552 💰 Pricing
https://vintagedancer.com/vintage/where-to-shop-vintage-clothing-online/
50 Vintage Inspired Clothing Brands, Stores, Shops Online
other 90 7.4× 5000
https://vintagedancer.com/vintage/how-to-stretch-and-shrink-vintage-clothing/
How to Stretch and Shrink Vintage Clothing
other 90 5.4× 5855
https://vintagedancer.com/vintage/vintage-fashion-history-books/
Vintage Fashion History Books for Research 1920s to 1970s
other 90 9.1× 3915
https://vintagedancer.com/1900s/edwardian-motoring-fashion-for-women/
Edwardian Motoring Fashion for Women
other 90 8.1× 4337
https://vintagedancer.com/victorian/1840-1850s-dickens-victorian-costuming-for-women/
1840s - 1850s Fashion, Costumes | Dickens Victorian Costuming
pricing 90 8.9× 3960
Showing 20 of 100 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
/1920s/ 107 78 0% 18.3× High JS Bloat
/vintage/ 95 78 0% 17.0× High JS Bloat
/1940s/ 67 78 0% 17.8× High JS Bloat
/1950s/ 49 78 0% 16.6× High JS Bloat
/1900s/ 42 77 0% 18.9× High JS Bloat
/1930s/ 37 78 0% 18.4× High JS Bloat
/victorian/ 30 81 0% 17.5× High JS Bloat
/1960s/ 29 77 0% 21.5× High JS Bloat
/steampunk/ 13 73 0% 41.5× High JS Bloat
/vintage-retro/ 9 72 0% 41.7× High JS Bloat
/1970s/ 8 76 0% 28.7× High JS Bloat
/1980s/ 4 83 0% 13.3× High JS Bloat
/dancing/ 3 78 0% 16.7× High JS Bloat
/mens-fashion-history/ 3 79 0% 14.8× High JS Bloat
/1950s-vintage-inspired-accessories/ 1 77 0% 18.5× High JS Bloat
🔄 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/vintagedancer.com

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
vintagedancer.com (this site) 75 89 WordPress 14.1× 2
grupocasalima.com 87 96 WordPress 11.4× 5 Compare →
safely.co.jp 90 90 WordPress 1.9× 3 Compare →
hi-ad.jp 86 89 WordPress 3.0× 5 Compare →
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🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to vintagedancer.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 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 Vintagedancer?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Vintagedancer does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Vintagedancer work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Vintagedancer."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for vintagedancer.com:

Current Score
89
Projected Score
97
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