1999.co.jp 57 D
🛡️ SEO 40 🤖 GEO 83 ⚡ Perf 24 🏗️ Arch 63

1999.co.jp — Global SEODiff Score 57/100

1999.co.jp
📊

1999.co.jp achieves a 80/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Within the infrastructure vertical, this places 1999.co.jp 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. The token bloat ratio sits at a lean 2.6×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

57
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (24) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 8 snapshots
Mar 7 Mar 21
🔔 Recent AI Indexing Activity
📈 Mar 21 ACRI +1 (74→75)
🔄 Mar 20 Content change detected
🔄 Mar 20 Content change detected
🔄 Mar 19 Content change detected
🔄 Mar 18 Content change detected
Does your site score higher than 1999.co.jp?
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)40 × 0.25 = 10.0
🤖 AI Readiness / GEO (40% weight)83 × 0.40 = 33.2
⚡ Performance (20% weight)24 × 0.20 = 4.8
🏗️ Architecture & Trust (15% weight)63 × 0.15 = 9.4
Weighted sum = 10.0 + 33.2 + 4.8 + 9.4
Global SEODiff Score = 57 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
100
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #34529
Aligned
Gap
AI (ACRI)
Top 6%
Score 80/100

1999.co.jp has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why 1999.co.jp ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat2.6×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

40/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

28 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

200 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 4
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✗ twitter:card
📐 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

83/100 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 →
1999.co.jp
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 1018 elements (1018 lists, 0 rows, 0 headers)
Total Words3365
Raw Density30.2%

🏷️ 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

75
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability75/100 — AI models can easily extract answers from this page
Crawl CostHigh (70/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

38%
🗑️ 62%
Useful Content (203.3 KB)Bloat (333.0 KB)
Token Bloat Ratio2.6× — Lean

Multimodal Readiness

Visual Context59% Optimized for Vision
Image Alt Coverage197 / 332 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

60 Entropy
Fair Token Bloat: Medium
Noise Ratio: 62.1% · SNR: 0.61 · Signal: 52042 / Noise: 85243 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 1999.co.jp 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
This SaaS platform streamlines project management for distributed teams by providing AI-powered sprint planning and real-time resource optimization.
Target Audience
Engineering managers, product teams, CTOs
Pricing Model
Subscription-based, with tiers starting from $10/user/month. Offers a free plan with limited features.
🔗 Integration Partners
SlackPayPal
🛡️ Compliance Standards
GDPR
🏆 Competitive Moat
AI-powered sprint planning with real-time resource optimization and a comprehensive feature set.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
FAQ schemaTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
• Potential issues with cookie settings impacting multiple orders
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

AI-Readiness Score50/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1462 ms
Raw HTML Size536.3 KB
Visible Text Size203.3 KB

Performance & Speed

24/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1462 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

6375
DOM nodes
536 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → private
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

2
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.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

63/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

1152
internal links
8
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 → ja
  • ✓ 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 1999.co.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/1999.co.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=1999.co.jp" 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 94 pages · Deep-10

Homepage ACRI
75
Single-page score
-14
Moderate hidden bloat
Δ delta
Site-Wide ACRI
62
Avg across 94 pages · Range 0–82
🔍
Hidden Bloat Detected

Homepage scores 75, but internal pages average only 62 — a -14-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
183181
Avg Bloat
60.7×
Page Type ACRI Token Bloat Words Status
https://www.1999.co.jp/eng/faq
Frequently Asked Questions - HobbySearch
pricing 82 4.4× 15118 💰 Pricing
https://www.1999.co.jp/book/reserve
ホビーサーチ - 雑誌・画集・設定資料集 通販
other 75 78.1× 973
https://www.1999.co.jp/toreca/
ホビーサーチ - トレーディングカード・スリーブ 通販
other 75 50.2× 2141
https://www.1999.co.jp/book/
ホビーサーチ - 雑誌・画集・設定資料集 通販
other 75 78.1× 973
https://www.1999.co.jp/book/restock
ホビーサーチ - 雑誌・画集・設定資料集 通販
other 75 78.1× 973
https://www.1999.co.jp/toreca/new
ホビーサーチ - トレーディングカード・スリーブ 通販
other 75 50.2× 2141
https://www.1999.co.jp/toreca/restock
ホビーサーチ - トレーディングカード・スリーブ 通販
other 75 50.2× 2141
https://www.1999.co.jp/eng/plamo/
HobbySearch Military Plastic Model Store
pricing 72 31.5× 3658 💰 Pricing
https://www.1999.co.jp/train/
ホビーサーチ - 鉄道模型 HOゲージ 通販
other 72 50.1× 2248
https://www.1999.co.jp/train/new
ホビーサーチ - 鉄道模型 HOゲージ 通販
other 72 50.1× 2248
https://www.1999.co.jp/mini/new
ホビーサーチ - ミニカー 通販
other 72 44.2× 2693
https://www.1999.co.jp/mini/restock
ホビーサーチ - ミニカー 通販
other 72 44.2× 2693
https://www.1999.co.jp/mecha/restock
ホビーサーチ - ロボット・特撮 アクションフィギュア 通販
other 72 44.7× 2774
https://www.1999.co.jp/plamo/new
ホビーサーチ - ミリタリープラモデル 通販
other 72 51.9× 2325
https://www.1999.co.jp/chara/restock
ホビーサーチ - キャラクターグッズ 通販
other 72 51.2× 2531
https://www.1999.co.jp/doll/restock
ホビーサーチ - ドール 通販
other 72 56.1× 1760
https://www.1999.co.jp/military/
ホビーサーチ - ダイキャスト飛行機・戦闘機 通販
other 72 64.0× 1317
https://www.1999.co.jp/eng/mecha/new
HobbySearch Gundam Action Figures Store
pricing 72 29.0× 3780 💰 Pricing
https://www.1999.co.jp/eng/car/
HobbySearch Plastic Model Car Store
pricing 72 34.6× 2620 💰 Pricing
https://www.1999.co.jp/eng/plamo/restock
HobbySearch Military Plastic Model Store
pricing 72 31.5× 3658 💰 Pricing
Showing 20 of 94 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
/eng/ 27 67 0% 44.9× High JS Bloat
/blog/ 10 47 0% 176.4× High JS Bloat
/book/ 3 75 0% 78.1× High JS Bloat
/military/ 3 72 0% 64.0× High JS Bloat
/mini/ 3 72 0% 44.2× High JS Bloat
/mecha/ 3 72 0% 44.7× High JS Bloat
/rc/ 3 72 0% 63.0× High JS Bloat
/gundam/ 3 72 0% 49.7× High JS Bloat
/toy/ 3 72 0% 59.2× High JS Bloat
/doll/ 3 72 0% 56.1× High JS Bloat
/plamo/ 3 72 0% 51.9× High JS Bloat
/toreca/ 3 75 0% 50.2× High JS Bloat
/train/ 3 72 0% 50.1× High JS Bloat
/chara/ 3 72 0% 51.2× High JS Bloat
/car/ 3 72 0% 56.1× 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/1999.co.jp

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

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to 1999.co.jp. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
1999.co.jp (this site) 75 80 Custom / Proprietary 2.6× 0
kondela.hu 86 93 Custom / Proprietary 3.1× 4 Compare →
insuranceyet.com 86 87 Custom / Proprietary 4.9× 4 Compare →
melbourneschool.com 86 87 Custom / Proprietary 5.0× 4 Compare →
kruizinga.nl 87 93 Custom / Proprietary 3.0× 5 Compare →
calulu-dogwear.jp 86 88 Custom / Proprietary 2.3× 9 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite 1999.co.jp 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 1999.co.jp. 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": "Co",
  "url": "https://1999.co.jp",
  "logo": "https://1999.co.jp/images/banner/favicon.ico",
  "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": "Co",
  "url": "https://1999.co.jp",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://1999.co.jp/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Co?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Co does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Co work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Co."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for 1999.co.jp:

Current Score
80
Projected Score
93
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 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
🔍 Found indexing issues?
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