gramota.ru 58 D
🛡️ SEO 21 🤖 GEO 81 ⚡ Perf 47 🏗️ Arch 75

gramota.ru — Global SEODiff Score 58/100

gramota.ru
📊

gramota.ru achieves a 75/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. With a 3.0× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. 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 (21) has the most room for improvement.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 17, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Feb 23 Mar 17
🔔 Recent AI Indexing Activity
🔄 Mar 17 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)21 × 0.25 = 5.2
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)75 × 0.15 = 11.2
Weighted sum = 5.2 + 32.4 + 9.4 + 11.2
Global SEODiff Score = 58 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
47
Structure
avg 35
42
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #33275
+16 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

gramota.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 gramota.ru ranks here

Tech stackCustom / Proprietary
Industry
RenderingSSR
Schema coverage1 blocks
Token bloat3.0×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

21/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

113 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

290 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 10
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://gramota.ru
  • ✓ 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 — Грамота.ру
  • ✓ og:description — Портал о русском языке, включающий словари и справочники, справочную службу с ответами экспертов, учебник с упражнениями, а также журнал о русском языке
  • ✓ og:image — preview
  • ✓ 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

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.

🚨

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 47/100 — Fair
Structured Elements 99 elements (99 lists, 0 rows, 0 headers)
Total Words1464
Raw Density6.8%

🏷️ Schema Health Docs

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

Schema Coverage Map

1/7 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.
💡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

69
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability69/100 — AI models can partially extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

33%
🗑️ 67%
Useful Content (131.3 KB)Bloat (260.8 KB)
Token Bloat Ratio3.0× — Lean

Multimodal Readiness

Visual Context53% Optimized for Vision
Image Alt Coverage17 / 32 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

50 Entropy
Fair Token Bloat: Medium
Noise Ratio: 66.5% · SNR: 0.50 · Signal: 33621 / Noise: 66777 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 gramota.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
This SaaS platform provides a comprehensive resource for Russian language learners and experts, offering a vast collection of dictionaries, reference
Target Audience
Russian language learners, linguists, educators, and anyone seeking to improve their understanding and use of the Russian language.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Extensive Russian language resource library and expert-curated content, combined with a long history of development and a strong reputation within the Russian linguistic community.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Template comparison pagesIntegration directory pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx/1.25.2
CDN
HTTP Status200
Load Time1067 ms
Raw HTML Size392.2 KB
Visible Text Size131.3 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1067 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1475
DOM nodes
392 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → 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

75/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://gramota.ru/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

207
internal links
12
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 60/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for gramota.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/gramota.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=gramota.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 100 pages · Deep-10

Homepage ACRI
60
Single-page score
0
Consistent readability
Δ delta
Site-Wide ACRI
61
Avg across 100 pages · Range 0–70
Total Words
109201
Avg Bloat
68.0×
Page Type ACRI Token Bloat Words Status
https://gramota.ru/journal/authors/arutyunova-elena
Елена Вячеславовна Арутюнова, кандидат филологических наук, старший научный сотрудник Института русского языка им. В. В. Виноградова РАН | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 35.8× 1871
https://gramota.ru/journal/authors/menshikova-yuliya
Юлия Владимировна Меньшикова, кандидат филологических наук, доцент СПбГУ | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 57.9× 1067
https://gramota.ru/journal/experts
Эксперты | Грамота.ру – справочно-информационный портал о русском языке
other 70 61.0× 1091
https://gramota.ru/journal/authors/portal-gramotaru
Портал «Грамота.ру»: все материалы автора | Авторы Журнала Грамоты
auth 70 50.3× 1392
https://gramota.ru/journal/authors/kalenchuk-mariya
Мария Леонидовна Каленчук, доктор филологических наук, профессор, заведующая отделом фонетики и главный научный сотрудник Института русского языка им. В. В. Виноградова РАН | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 63.9× 1072
https://gramota.ru/journal/authors/krongauz-maksim
Максим Анисимович Кронгауз, доктор филологических наук, профессор, заведующий Научно-учебной лабораторией лингвистической конфликтологии и современных коммуникативных практик НИУ ВШЭ | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 62.1× 1100
https://gramota.ru/journal/authors/kiseleva-kseniya
Ксения Львовна Киселева, главный редактор Грамоты, кандидат филологических наук, старший научный сотрудник Института русского языка им. В. В. Виноградова РАН | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 54.7× 1377
https://gramota.ru/journal/authors/popov-mikhail
Михаил Борисович Попов, доктор филологических наук, профессор кафедры русского языка СПбГУ | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 61.8× 997
https://gramota.ru/journal/authors/orlova-alisa
Алиса Анатольевна Орлова: все материалы автора | Авторы Журнала Грамоты
auth 70 56.4× 1255
https://gramota.ru/journal/authors/soldatov-anton
Антон Андреевич Солдатов: все материалы автора | Авторы Журнала Грамоты
auth 70 49.9× 1487
https://gramota.ru/journal/authors/nechaeva-iya
Ия Вениаминовна Нечаева, кандидат филологических наук, ведущий научный сотрудник Института русского языка им. В. В. Виноградова РАН | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 59.8× 1048
https://gramota.ru/journal/authors/sklyarevskaya-galina
Галина Николаевна Скляревская, доктор филологических наук, профессор | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 46.6× 1354
https://gramota.ru/journal/authors/savinov-dmitriy
Дмитрий Михайлович Савинов, доктор филологических наук, ведущий научный сотрудник Института русского языка им. В. В. Виноградова РАН | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 64.3× 1014
https://gramota.ru/journal/authors/studiner-mikhail
Михаил Абрамович Штудинер, кандидат филологических наук, доцент кафедры стилистики русского языка факультета журналистики МГУ им. М. В. Ломоносова | Эксперты | Грамота.ру – справочно-информационный портал о русском языке
auth 70 60.6× 1045
https://gramota.ru/biblioteka/spravochniki/pravila-russkoj-orfografii-i-punktuacii/glasnye-posle-shipyashchih
Правописание гласных после шипящих | Правила русской орфографии и пунктуации (1956) | Грамота.ру — справочный портал
other 70 37.0× 2344
https://gramota.ru/biblioteka/spravochniki/pravila-russkoj-orfografii-i-punktuacii/bukva-e
Правописание и употребление буквы Э в словах | Правила русской орфографии и пунктуации (1956) | Грамота.ру — справочный портал
other 70 47.0× 1813
https://gramota.ru/biblioteka/spravochniki/pravila-russkoj-orfografii-i-punktuacii/obshchie-pravila-pravopisaniya-neudaryaemyh-glasnyh
Общие правила правописания неударяемых гласных | Правила русской орфографии и пунктуации (1956) | Грамота.ру — справочный портал
other 70 46.6× 1828
https://gramota.ru/biblioteka/spravochniki/pravila-russkoj-orfografii-i-punktuacii/neudaryaemye-glasnye-v-kornyah-slov
Правописание неударяемых гласных в корнях слов | Правила русской орфографии и пунктуации (1956) | Грамота.ру — справочный портал
other 70 41.8× 2064
https://gramota.ru/biblioteka/spravochniki/pravila-russkoj-orfografii-i-punktuacii/bukva-yo
Правописание и употребление буквы Ё в словах | Правила русской орфографии и пунктуации (1956) | Грамота.ру — справочный портал
other 70 50.0× 1694
https://gramota.ru/biblioteka/spravochniki/pravila-russkoj-orfografii-i-punktuacii/neudaryaemye-glasnye-v-suffiksah
Правописание неударяемых гласных в суффиксах | Правила русской орфографии и пунктуации (1956) | Грамота.ру — справочный портал
other 70 30.1× 2945
Showing 20 of 100 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
/journal/ 51 67 0% 76.3× High JS Bloat
/biblioteka/ 39 68 0% 74.4× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/docs/ 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
/features/ 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 100 pages
classic.gramota.ru ×90
t.me ×90
slovogoda.gramota.ru ×90
motka.ru ×90
vk.com ×90
new.gramota.ru ×8
ruslang.ru ×2
rusgram.narod.ru ×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/gramota.ru

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📊 Semantic Share of Voice

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

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

Projected Impact

ROI EST.

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

Current Score
75
Projected Score
82
Improvement
+7 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
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