nbaanalysis.net 66 C
🛡️ SEO 51 🤖 GEO 70 ⚡ Perf 59 🏗️ Arch 90

nbaanalysis.net — Global SEODiff Score 66/100

nbaanalysis.net
📊

nbaanalysis.net currently sits at 60/100 on the ACRI scale, an average result that suggests several quick wins remain untapped. In the infrastructure sector, nbaanalysis.net outperforms the average (57), suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. Token bloat registers at 14.3× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Most AI crawlers are restricted by robots.txt, limiting how AI-powered search engines can index and surface this content.

66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (51) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 5 snapshots
Mar 1 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
🔄 Mar 17 Content change detected
🔄 Mar 12 Content change detected
Does your site score higher than nbaanalysis.net?
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)51 × 0.25 = 12.8
🤖 AI Readiness / GEO (40% weight)70 × 0.40 = 28.0
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)90 × 0.15 = 13.5
Weighted sum = 12.8 + 28.0 + 11.8 + 13.5
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
40
Bot Access
avg 92
100
Rendering
avg 93
40
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 28%
Rank #284754
+24 pts
Gap
AI (ACRI)
Top 52%
Score 60/100

nbaanalysis.net 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 nbaanalysis.net ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat14.3×

Fastest improvements

  • Allow GPTBot in robots.txt so AI crawlers can access your pages (see Crawl Access).
  • 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

51/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

63 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

121 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 38
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://nbaanalysis.net/
  • ✓ 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 — Home
  • ✓ og:description — NBA news, trade rumors, player profiles and expert analysis. Covering league action, superstar stories and team insights.
  • ✗ og:image
  • ✓ twitter:card — summary_large_image
📐 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

70/100 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 →
nbaanalysis.net
52
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)
Blocked
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Blocked
Google-Extended
Blocked
Googlebot
Allowed
💡GPTBot is blocked. To appear in ChatGPT citations, add Allow: / under User-agent: GPTBot in your robots.txt.

👻 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 40/100 — Fair
Structured Elements 92 elements (92 lists, 0 rows, 0 headers)
Total Words1879
Raw Density4.9%

🏷️ Schema Health Docs

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

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

54
AI Extractability
Low
Crawl Cost
High
Blocklist Risk
Extractability54/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskHigh — 3 of 5 AI crawlers blocked

Token Bloat Research

6%
🗑️ 94%
Useful Content (13.8 KB)Bloat (184.0 KB)
Token Bloat Ratio14.3× — Normal

Multimodal Readiness

Visual Context45% Optimized for Vision
Image Alt Coverage33 / 74 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 45% 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: 93.0% · SNR: 0.08 · Signal: 3535 / Noise: 47095 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 nbaanalysis.net 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
NBA Analysis Network provides news, analysis, and expert insights on NBA teams and players.
Target Audience
Basketball fans, sports analysts, media professionals
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Deep NBA content and expert analysis.
📊 Content Depth
3/10
Analyzed by SEODiff AI · 2026-03-13

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time524 ms
Raw HTML Size197.8 KB
Visible Text Size13.8 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

524 ms
Acceptable — room for improvement

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

📦 Page Weight

1369
DOM nodes
198 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=14400
  • ✓ CDN cache status → HIT
  • ✓ 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

90/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://nbaanalysis.net/wp-sitemap.xml
  • ✓ Googlebot allowed
  • ✗ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

203
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-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 52/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for nbaanalysis.net
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/nbaanalysis.net" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=nbaanalysis.net" 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.

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
nbaanalysis.net (this site) 52 60 WordPress 14.3× 1
hultsfred.se 77 90 WordPress 9.2× 2 Compare →
bluesky.pl 77 86 WordPress 2.9× 1 Compare →
typhoon-hil.com 77 85 WordPress 1.9× 1 Compare →
eyely.com 77 89 Shopify 7.8× 2 Compare →
farmingparts.com 77 87 Shopify 8.8× 3 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Allow GPTBot in robots.txt
High Impact ⏱ 2 min
GPTBot is blocked — your content cannot appear in ChatGPT citations. Add this to your robots.txt:
text
User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 6% 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 Nbaanalysis?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Nbaanalysis does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Nbaanalysis work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Nbaanalysis."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for nbaanalysis.net:

Current Score
60
Projected Score
76
Improvement
+16 pts
Allow GPTBot +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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
Free Deep Audit → GSC Error Guide →