bi-level.org 73 B
🛡️ SEO 57 🤖 GEO 80 ⚡ Perf 74 🏗️ Arch 78

bi-level.org — Global SEODiff Score 73/100

bi-level.org
📊

At 75/100, the ACRI for bi-level.org indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the developer sector, bi-level.org 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 5.7× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Rich structured data (4 schema blocks) gives AI systems strong semantic signals for entity recognition and knowledge graph inclusion. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

73
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (57) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 6 Mar 16
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)57 × 0.25 = 14.2
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)78 × 0.15 = 11.7
Weighted sum = 14.2 + 32.0 + 14.8 + 11.7
Global SEODiff Score = 73 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
23
Structure
avg 35
48
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #580014
-39 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

bi-level.org ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 19%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why bi-level.org ranks here

Tech stackWordPress
Industrydeveloper
RenderingSSR
Schema coverage4 blocks
Token bloat5.7×

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

57/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

76 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

299 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 7
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://bi-level.org/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Bilevel Optimization Portal
  • ✓ og:description — Bilevel optimization problems are hierarchical optimization tasks where an upper-level authority optimizes their goals restricted to optimal decisions/solutions given by a lower-level authority. This site gives you resources on evolutionary bi-level optimization, including tutorials, code and more.
  • ✗ 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
bi-level.org
56
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 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 23/100 — Low
Structured Elements 10 elements (10 lists, 0 rows, 0 headers)
Total Words630
Raw Density1.6%
💡Low structure score (23/100). Your content appears as a wall of text with few structured HTML elements. You have 10 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 Blocks4 blocks

Schema Coverage Map

3/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

61
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability61/100 — AI models can partially 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

17%
🗑️ 83%
Useful Content (9.4 KB)Bloat (44.2 KB)
Token Bloat Ratio5.7× — Normal

Multimodal Readiness

Visual Context73% Optimized for Vision
Image Alt Coverage16 / 22 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: 82.5% · SNR: 0.21 · Signal: 2394 / Noise: 11306 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 bi-level.org 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 website provides resources and tutorials for bilevel optimization, catering to researchers, scientists, and enthusiasts.
Target Audience
Researchers, scientists, enthusiasts, professionals
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Comprehensive resource repository and community fostering for bilevel optimization.
📊 Content Depth
5/10
Analyzed by SEODiff AI · 2026-03-27

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerApache/2.4.41 (Ubuntu)
CDN
HTTP Status200
Load Time750 ms
Raw HTML Size53.5 KB
Visible Text Size9.4 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

750 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

303
DOM nodes
54 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

78/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://bi-level.org/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

30
internal links
2
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 56/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
56
Single-page score
-51
Severe hidden bloat
Δ delta
Site-Wide ACRI
6
Avg across 10 pages · Range 0–57
🔍
Hidden Bloat Detected

Homepage scores 56, but internal pages average only 6 — a -51-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
318
Avg Bloat
2.8×
Page Type ACRI Token Bloat Words Status
https://bi-level.org/about
About | Bilevel Optimization Portal | Bilevel Optimization Portal
about 57 27.7× 318
https://bi-level.org/pricing pricing 0 0.0× 0
https://bi-level.org/features product 0 0.0× 0
https://bi-level.org/products product 0 0.0× 0
https://bi-level.org/blog blog 0 0.0× 0
https://bi-level.org/docs docs 0 0.0× 0
https://bi-level.org/case-studies social-proof 0 0.0× 0
https://bi-level.org/contact support 0 0.0× 0
https://bi-level.org/faq support 0 0.0× 0
https://bi-level.org/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/docs/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 57 0% 27.7× High JS Bloat
/contact/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
github.com ×1
youtube.com ×1
researchgate.net ×1
group.bi-level.org ×1
repository.bi-level.org ×1
🔄 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/bi-level.org

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

🔗 Similar developer Sites

Domains with a similar tech stack, industry, and AI readiness profile to bi-level.org. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
bi-level.org (this site) 56 75 WordPress 5.7× 4
randstad.es 80 88 WordPress 4.9× 4 Compare →
premium303.com 81 90 WordPress 4.8× 5 Compare →
kombuchakamp.com 80 87 WordPress 5.1× 6 Compare →
aronia-charlottenburg.ro 80 90 WordPress 7.6× 1 Compare →
coveti.com 80 88 WordPress 9.6× 2 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite bi-level.org 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 bi-level.org. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for bi-level.org:

Current Score
75
Projected Score
81
Improvement
+6 pts
Reduce token bloat +3 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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