privin.net 79 B
🛡️ SEO 80 🤖 GEO 90 ⚡ Perf 53 🏗️ Arch 81

privin.net — Global SEODiff Score 79/100

privin.net
📊

privin.net has earned a 92/100 ACRI — a tier-1 result that puts it ahead of 99% of sites in the SEODiff Radar. In the infrastructure sector, privin.net 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. With a 4.1× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Structured data coverage is solid at 3 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

79
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (53) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 25, 2026 · 📋 API
Does your site score higher than privin.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)80 × 0.25 = 20.0
🤖 AI Readiness / GEO (40% weight)90 × 0.40 = 36.0
⚡ Performance (20% weight)53 × 0.20 = 10.6
🏗️ Architecture & Trust (15% weight)81 × 0.15 = 12.2
Weighted sum = 20.0 + 36.0 + 10.6 + 12.2
Global SEODiff Score = 79 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
80
Structure
avg 35
86
Schema
avg 10
85
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 44%
Rank #443267
-43 pts
Gap
AI (ACRI)
Top 1%
Score 92/100

privin.net ranks much higher on Google (Tranco Top 44%) than in AI search (Top 1%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why privin.net ranks here

Tech stackWordPress
RenderingSSR
Schema coverage3 blocks
Token bloat4.1×

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

80/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

50 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

137 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Private Investigations Consultant - Privin Network
  • ✓ og:description — Private investigation services from PRIVIN. We provide reliable solutions tailored to your specific needs for a successful investigation.
  • ✗ 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

90/100 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, plodopitomnik-sad.ru (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 →
privin.net
81
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.ru has schema coverage of 12 blocks and uses Express. 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 80/100 — Excellent
Structured Elements 285 elements (271 lists, 10 rows, 4 headers)
Total Words1490
Raw Density19.1%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ✅ Present
Total Schema Blocks3 blocks

Schema Coverage Map

5/7 schema types detected
✅ Organization
✅ Product/Service
✅ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

91
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability91/100 — 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

24%
🗑️ 76%
Useful Content (33.8 KB)Bloat (105.7 KB)
Token Bloat Ratio4.1× — Lean

Multimodal Readiness

Visual Context90% Optimized for Vision
Image Alt Coverage35 / 39 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

23 Entropy
Poor Token Bloat: High
Noise Ratio: 75.8% · SNR: 0.32 · Signal: 8655 / Noise: 27063 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 privin.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
Private investigation services tailored to specific needs
Target Audience
Individuals and businesses needing reliable investigation solutions
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 Time1956 ms
Raw HTML Size139.5 KB
Visible Text Size33.8 KB

Performance & Speed

53/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1956 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1262
DOM nodes
140 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✓ 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

81/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://privin.net/city-sitemap-index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

294
internal links
5
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.

✓ TOP 15% AI-READY

🏆 You Are AI-Verified — Claim Your Badge

Your site scores 81/100 on the AI-Crawler Reality Index. Embed this trust badge on your site — every click sends visitors to your verified report and builds backlinks to your domain.

AI-Verified badge for privin.net
Verified — updates automatically every 24h
<a href="https://seodiff.io/radar/domains/privin.net" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=privin.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.

How it works: The badge queries your ACRI score daily. If your score drops below 80 or your site hasn't been scanned in 30 days, the badge changes to "Pending Audit" (yellow) — prompting you to fix issues and rescan. Learn about ACRI methodology →

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
privin.net (this site) 81 92 WordPress 4.1× 3
antenka.by 81 90 WordPress 3.8× 3 Compare →
kaitori-daikichi.jp 82 89 WordPress 3.5× 3 Compare →
invox.jp 79 95 WordPress 3.9× 3 Compare →
nobunaga-toys.com 79 84 WordPress 4.3× 3 Compare →
oggi.jp 80 90 WordPress 3.2× 3 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

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

Current Score
92
Projected Score
98
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).

Is this your company?

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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