spsr.tech 58 D
🛡️ SEO 32 🤖 GEO 66 ⚡ Perf 80 🏗️ Arch 50

spsr.tech — Global SEODiff Score 58/100

spsr.tech
📊

spsr.tech currently sits at 60/100 on the ACRI scale, an average result that suggests several quick wins remain untapped. Compared to other infrastructure sites (avg score: 57), spsr.tech performs above the benchmark, suggesting strong competitive positioning in AI search. The rendering approach is hybrid, with a moderate ghost ratio of 30% — most content is accessible without JS, though some elements are client-rendered. With a 1.9× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. 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.

58
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (32) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Feb 23 Feb 28
🔔 Recent AI Indexing Activity
🔄 Mar 10 Content change detected
Does your site score higher than spsr.tech?
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)32 × 0.25 = 8.0
🤖 AI Readiness / GEO (40% weight)66 × 0.40 = 26.4
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)50 × 0.15 = 7.5
Weighted sum = 8.0 + 26.4 + 16.0 + 7.5
Global SEODiff Score = 58 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
84
Rendering
avg 93
27
Structure
avg 35
0
Schema
avg 9
40
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #63449
+46 pts
Gap
AI (ACRI)
Top 52%
Score 60/100

spsr.tech 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 spsr.tech ranks here

Tech stackAngular
RenderingHybrid
Schema coverage0 blocks
Token bloat1.9×

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

32/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

4 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ru
  • ➖ 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

66/100 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 →
spsr.tech
40
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.

👻
Shadow Content Detected: 30% of your page token budget is in non-rendered regions (JavaScript-dependent content that AI crawlers may not process). This dramatically increases hallucination probability — models fill the gap with made-up facts.
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 30%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 27/100 — Low
Structured Elements 12 elements (12 lists, 0 rows, 0 headers)
Total Words548
Raw Density2.2%
💡Low structure score (27/100). Your content appears as a wall of text with few structured HTML elements. You have 12 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 ❌ 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

49
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability49/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

52%
🗑️ 48%
Useful Content (13.2 KB)Bloat (11.7 KB)
Token Bloat Ratio1.9× — Lean

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 35 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 0% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

78 Entropy
Good Token Bloat: Low
Noise Ratio: 46.9% · SNR: 1.13 · Signal: 3377 / Noise: 2985 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…

🔧 Tech Stack

FrameworkAngular
AI-Readiness Score40/100
Servernginx/1.29.5
CDN
HTTP Status200
Load Time635 ms
Raw HTML Size24.9 KB
Visible Text Size13.2 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

635 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

331
DOM nodes
25 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

50/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

20
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 → ru
  • ✓ 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 40/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for spsr.tech
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/spsr.tech" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=spsr.tech" 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 31 pages · Deep-10

Homepage ACRI
40
Single-page score
+4
Consistent readability
Δ delta
Site-Wide ACRI
44
Avg across 31 pages · Range 0–77
Topical Cohesion
29%
Topical Drift
TF-IDF cosine similarity
Total Words
80573
Avg Bloat
21.7×
Page Type ACRI Token Bloat Words Status
https://spsr.tech/docs/clientapi-ver2/
SPSR
docs 77 7.0× 8694
https://spsr.tech/docs/en/
SPSR
docs 77 6.3× 8798
https://spsr.tech/docs/
SPSR
docs 77 7.1× 8700
https://spsr.tech/docs/en/clientapi-ver2-en/
SPSR
docs 77 6.2× 8792
https://spsr.tech/docs/en/clientapi-ver2/
SPSR
docs 77 7.0× 8694
https://spsr.tech/docs/en/test/
SPSR
docs 77 6.2× 8792
https://spsr.tech/docs/test/
SPSR
docs 77 7.1× 8696
https://spsr.tech/docs/clientapi-ver2-en/
SPSR
docs 77 6.2× 8792
https://spsr.tech/docs
SPSR
docs 77 7.1× 8700
https://spsr.tech/products/parcel-engine/
SPSR
product 57 13.1× 499
https://spsr.tech/products/camunda/
SPSR
product 57 12.3× 282
https://spsr.tech/posts/ other 52 4.8× 12
https://spsr.tech/about
SPSR
about 47 16.5× 128
https://spsr.tech/about/
SPSR
about 47 16.5× 128
https://spsr.tech/products/time/
SPSR
product 47 17.1× 116
https://spsr.tech/products
SPSR
product 47 13.2× 181
https://spsr.tech/products/
SPSR
product 47 13.2× 181
https://spsr.tech/products/po/
SPSR
product 47 18.7× 131
https://spsr.tech/contact
SPSR
support 42 28.5× 69
https://spsr.tech/contact/
SPSR
support 42 28.5× 69
Showing 20 of 31 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
/docs/ 9 77 0% 6.7× High JS Bloat
/products/ 6 50 0% 14.6× High JS Bloat
/posts/ 4 37 0% 36.8× High JS Bloat
/about/ 2 47 0% 16.5× High JS Bloat
/contact/ 2 42 0% 28.5× High JS Bloat
/team/ 1 32 0% 55.5× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/lockers/ 1 22 1% 233.0× Bot Blocked
/pricing/ 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
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔄 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/spsr.tech

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
spsr.tech (this site) 40 60 Angular 1.9× 0
hellenatravel.rs 65 73 Custom / Proprietary 2.3× 0 Compare →
vdh.de 65 78 TYPO3 2.4× 0 Compare →
le.nra.org 65 75 Cloudflare Pages 2.7× 0 Compare →
badmintonindia.org 65 78 WordPress 2.8× 0 Compare →
kizyurdu.cankaya.edu.tr 65 81 WordPress 3.0× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite spsr.tech 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 spsr.tech. 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": "Tech",
  "url": "https://spsr.tech",
  "logo": "https://spsr.tech/logo.png",
  "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": "Tech",
  "url": "https://spsr.tech",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://spsr.tech/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 Tech?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Tech does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Tech work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Tech."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for spsr.tech:

Current Score
60
Projected Score
73
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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