pikir.kg 71 B
🛡️ SEO 55 🤖 GEO 78 ⚡ Perf 80 🏗️ Arch 66

pikir.kg — Global SEODiff Score 71/100

pikir.kg
📊

At 72/100, the ACRI for pikir.kg indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places pikir.kg above the industry average of 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. With a 4.7× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

71
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (55) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
Does your site score higher than pikir.kg?
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)55 × 0.25 = 13.8
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)66 × 0.15 = 9.9
Weighted sum = 13.8 + 31.2 + 16.0 + 9.9
Global SEODiff Score = 71 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
42
Structure
avg 35
2
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #803749
-53 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

pikir.kg ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 27%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why pikir.kg ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat4.7×

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

55/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

120 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

422 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 → https://pikir.kg/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ky
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✗ og:title
  • ✓ og:description — Акчаны чыгарып алуу мүмкүнчүлүгү менен акы төлөнүүчү сурамжылоолорду издеп жатасызбы? Интернеттеги сурамжылоо үчүн акы төлөнүүчү ишенимдүү сайттар жөнүндө билип алыңыз. Акы төлөнүүчү сурамжылоолорго катышып, азыр акча табыңыз!
  • ✗ 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

78/100 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 →
pikir.kg
53
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 42/100 — Fair
Structured Elements 22 elements (22 lists, 0 rows, 0 headers)
Total Words420
Raw Density5.2%

🏷️ Schema Health Docs

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

Schema Coverage Map

2/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

58
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability58/100 — 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

21%
🗑️ 79%
Useful Content (7.9 KB)Bloat (28.9 KB)
Token Bloat Ratio4.7× — Lean

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 2 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

8 Entropy
Poor Token Bloat: High
Noise Ratio: 78.6% · SNR: 0.27 · Signal: 2014 / Noise: 7393 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 pikir.kg 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 helps distributed teams streamline project management through AI-powered sprint planning and real-time resource optimization, boosting productivity and reducing wasted time.
Target Audience
Engineering managers, product managers, scrum masters, and project managers in tech companies.
Pricing Model
Tiered subscription model with a free plan and paid plans starting at $10/user/month, offering increasing features and capacity.
🔗 Integration Partners
Telegram
🏆 Competitive Moat
AI-driven sprint planning and resource allocation provides a significant advantage over traditional project management tools.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
FAQ schemaTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
• Potential issues with account verification and password reset
Analyzed by SEODiff AI · 2026-04-06

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerApache
CDN
HTTP Status200
Load Time982 ms
Raw HTML Size36.7 KB
Visible Text Size7.9 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

982 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

350
DOM nodes
37 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

66/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://pikir.kg/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

21
internal links
1
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 → ky
  • ✓ 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 53/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
53
Single-page score
-45
Severe hidden bloat
Δ delta
Site-Wide ACRI
8
Avg across 10 pages · Range 0–85
🔍
Hidden Bloat Detected

Homepage scores 53, but internal pages average only 8 — a -45-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
869
Avg Bloat
1.0×
Page Type ACRI Token Bloat Words Status
https://pikir.kg/faq
Суроо-жооп — Интернет боюнча кирешелер сурамжылоолор Pikir.kg
support 85 9.9× 869
https://pikir.kg/pricing pricing 0 0.0× 0
https://pikir.kg/about about 0 0.0× 0
https://pikir.kg/products product 0 0.0× 0
https://pikir.kg/features product 0 0.0× 0
https://pikir.kg/blog blog 0 0.0× 0
https://pikir.kg/docs docs 0 0.0× 0
https://pikir.kg/case-studies social-proof 0 0.0× 0
https://pikir.kg/integrations integrations 0 0.0× 0
https://pikir.kg/contact support 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/faq/ 1 85 0% 9.9× High JS Bloat
/contact/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/blog/ 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
/case-studies/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
panel.pikir.kg ×1
vk.com ×1
🔄 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/pikir.kg

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
pikir.kg (this site) 53 72 WordPress 4.7× 1
as-web.jp 78 90 WordPress 5.3× 1 Compare →
freshlabels.cz 78 89 WordPress 2.9× 1 Compare →
irun.pe 78 88 WordPress 2.5× 1 Compare →
wagashi-biz.jp 78 84 WordPress 2.4× 1 Compare →
porno.surf 78 84 WordPress 2.1× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for pikir.kg:

Current Score
72
Projected Score
84
Improvement
+12 pts
Add Organization schema +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).

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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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