ispras.ru 66 C
🛡️ SEO 35 🤖 GEO 81 ⚡ Perf 68 🏗️ Arch 76

ispras.ru — Global SEODiff Score 66/100

ispras.ru
📊

With a solid 72/100 ACRI, ispras.ru is well-positioned for AI search — better than 73% of sites in the Radar. Compared to other infrastructure sites (avg score: 57), ispras.ru performs above the benchmark, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. With a 2.1× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (35) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 5 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 16 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)35 × 0.25 = 8.8
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)76 × 0.15 = 11.4
Weighted sum = 8.8 + 32.4 + 13.6 + 11.4
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
62
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #62627
+21 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

ispras.ru 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 ispras.ru ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat2.1×

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

35/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

111 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

337 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✗ Has <h2> headings — found 0
  • ✓ <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

81/100 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 →
ispras.ru
59
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 62/100 — Good
Structured Elements 76 elements (76 lists, 0 rows, 0 headers)
Total Words654
Raw Density11.6%

🏷️ 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

63
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability63/100 — 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

47%
🗑️ 53%
Useful Content (20.2 KB)Bloat (21.6 KB)
Token Bloat Ratio2.1× — Lean

Multimodal Readiness

Visual Context39% Optimized for Vision
Image Alt Coverage7 / 18 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 39% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

73 Entropy
Good Token Bloat: Low
Noise Ratio: 51.6% · SNR: 0.94 · Signal: 5175 / Noise: 5519 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 ispras.ru 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
The Institute for System Programming of the Russian Academy of Sciences (ISPRAN) is a research organization developing technologies in areas
Target Audience
Researchers, IT professionals, graduate students, software developers, academics, and government officials involved in information technology and related fields.
Pricing Model
⚠ SEMANTIC VOID
🔗 Integration Partners
SharpCheckerSvaceTexterraDigiTEFAspiretasTalismanNatchCrusher
🏆 Competitive Moat
The Institute’s deep expertise in operating systems, compiler technology, and AI, combined with its graduate program and partnerships with leading tech companies, creates a strong barrier to entry.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time1344 ms
Raw HTML Size41.8 KB
Visible Text Size20.2 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1344 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

389
DOM nodes
42 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate, public, private, must-revalidate
  • ✗ 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

76/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

94
internal links
9
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 59/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for ispras.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/ispras.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=ispras.ru" 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 67 pages · Deep-10

Homepage ACRI
59
Single-page score
-12
Moderate hidden bloat
Δ delta
Site-Wide ACRI
48
Avg across 67 pages · Range 0–82
🔍
Hidden Bloat Detected

Homepage scores 59, but internal pages average only 48 — a -12-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
26362
Avg Bloat
20.0×
Page Type ACRI Token Bloat Words Status
http://www.ispras.ru/preprints/docs/prep_22_2010.php
Гнусные цифры (Дуглас Арнольд и Кристин Фаулер)
pricing 82 4.3× 3360 💰 Pricing
http://www.ispras.ru/preprints/docs/prep_22_2010.html
Гнусные цифры
docs 81 2.8× 3185
https://ispras.ru/docs docs 77 6.6× 4135
http://www.ispras.ru/hpc-center/
О центре компетенции по параллельным и распределенным вычислениям
other 77 9.8× 760
http://www.ispras.ru/mathbib/introduction.php
Общая теория вычислимости
other 77 9.7× 723
http://www.ispras.ru/programming/rules.php
Правила для авторов - журнал «Программирование» РАН
other 77 7.5× 1106
http://www.ispras.ru/programming/
Журнал «Программирование» РАН
other 67 12.3× 559
http://www.ispras.ru/news/
Новости ИСП РАН
other 67 10.3× 913
http://www.ispras.ru/hpc-center/activity.php
Деятельность центра
other 67 10.3× 710
https://ispras.ru/about
Об Институте системного программирования РАН
about 57 14.8× 479
http://www.ispras.ru/events/
Мероприятия
other 57 16.4× 384
http://www.ispras.ru/dcouncil/docs/diss/2014/zolotov/zolotov.php
Защита диссертации - Золотов Владислав Александрович
docs 52 22.9× 253
http://www.ispras.ru/dcouncil/docs/diss/2015/korshunov/korshunov.php
Защита диссертации - Коршунов Антон Викторович
docs 52 22.6× 257
http://www.ispras.ru/dcouncil/docs/diss/2014/zaikin/zaikin.php
Диссертационный совет ИСП РАН : Заикин Данила Александрович
docs 52 22.5× 258
http://www.ispras.ru/dcouncil/docs/diss/2014/astrahancev/astrahancev.php
Защита диссертации - Астраханцев Никита Александрович
docs 52 22.4× 260
http://www.ispras.ru/dcouncil/docs/diss/2015/ignatjev/ignatjev.php
Защита диссертации - Игнатьев Валерий Николаевич
docs 52 22.3× 260
http://www.ispras.ru/mathbib/pub/pub2775.php
Turing A.M. ...
other 52 26.9× 206
http://www.ispras.ru/mathbib/pub/pub1968.php
Lerman M. ...
other 52 27.0× 205
http://www.ispras.ru/mathbib/pub/pub1173.php
Csima B.,Montalban A.,Shore R.A. ...
other 52 25.7× 216
http://www.ispras.ru/mathbib/pub/pub38.php
Арсланов М.М., Калимуллин И.Ш., ...
other 52 26.7× 209
Showing 20 of 67 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
/mathbib/ 43 51 0% 25.6× High JS Bloat
/dcouncil/ 5 52 0% 22.5× High JS Bloat
/hpc-center/ 3 65 0% 15.9× High JS Bloat
/programming/ 2 72 0% 9.9× High JS Bloat
/preprints/ 2 82 0% 3.5× Healthy
/products/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 57 0% 14.8× High JS Bloat
/events/ 1 57 0% 16.4× High JS Bloat
/docs/ 1 77 0% 6.6× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 67 pages
linuxtesting.ru ×57
secure-software.ru ×56
arxiv.org ×2
sciencewatch.com ×2
arc.gov.au ×2
fogproject.org ×1
keybase.io ×1
stackstorm.com ×1
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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/ispras.ru

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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for ispras.ru:

Current Score
72
Projected Score
85
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

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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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