liner.com 59 D
🛡️ SEO 57 🤖 GEO 53 ⚡ Perf 59 🏗️ Arch 76

liner.com — Global SEODiff Score 59/100

liner.com
📊

At 68/100, the ACRI for liner.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the education sector, liner.com outperforms the average (57), suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. Heavy markup overhead (50.0× bloat) forces AI systems to wade through excess code before finding useful information. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — AI Readiness (53) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (84×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 21 snapshots
Feb 22 Mar 18
🔔 Recent AI Indexing Activity
🔄 Mar 16 Content change detected
🔄 Mar 11 Content change detected
Does your site score higher than liner.com?
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)57 × 0.25 = 14.2
🤖 AI Readiness / GEO (40% weight)53 × 0.40 = 21.2
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)76 × 0.15 = 11.4
Weighted sum = 14.2 + 21.2 + 11.8 + 11.4
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
0
Structure
avg 35
42
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #28515
+36 pts
Gap
AI (ACRI)
Top 38%
Score 68/100

liner.com 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 liner.com ranks here

Tech stackNext.js
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat50×+

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

57/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

53 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

129 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 15
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://liner.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — LinerㅣAccurate AI search, for exactly what you need
  • ✓ og:description — The best AI search engine for students and researchers, trusted by 13M+ users. Find accurate answers and learn smarter with Liner
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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

53/100 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 education sector, rndirectors.com (ACRI: 85) 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 →
liner.com
35
Your ACRI Score
85
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. rndirectors.com has schema coverage of 4 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 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words831
Raw Density0.0%
💡Low structure score (0/100). Your content appears as a wall of text with few structured HTML elements. You have 0 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 ✅ Present
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
💡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.

📐 AI Efficiency Metrics Docs

36
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability36/100 — AI models can barely extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (5.3 KB)Bloat (439.1 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context90% Optimized for Vision
Image Alt Coverage9 / 10 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 444.4 KB, but only 5.3 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 98.8% · SNR: 0.01 · Signal: 1355 / Noise: 112420 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

FrameworkNext.js
AI-Readiness Score70/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time991 ms
Raw HTML Size444.4 KB
Visible Text Size5.3 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

991 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

865
DOM nodes
444 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, no-cache, no-store, max-age=0, must-revalidate
  • ✓ 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

76/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

31
internal links
3
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
  • ✓ 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 35/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for liner.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/liner.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=liner.com" 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 98 pages · Deep-10

Homepage ACRI
35
Single-page score
+13
Subpages outperform homepage
Δ delta
Site-Wide ACRI
48
Avg across 98 pages · Range 0–67
Topical Cohesion
8%
Topical Drift
TF-IDF cosine similarity
Total Words
45336
Avg Bloat
758.8×
RAG Fractures [?]
52
⚠️
52 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 52 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://liner.com/blog/liner-ranker
AI 검색 정확도를 높인 라이너 Ranker 개발기
blog 67 34.7× 1627
https://liner.com/ko/blog/liner-ranker
AI 검색 정확도를 높인 라이너 Ranker 개발기
blog 67 34.2× 1779
https://liner.com/learn/hypothesis-generator
How to turn a research question into a hypothesis faster with AI
blog 64 66.9× 783
https://liner.com/learn/liner-scholar-mode
How to Find Academic Sources Fast with AI Research Tools
blog 64 81.5× 624
https://liner.com/learn/the-best-ai-search-2025
Top AI Search tool for 2025: why researchers choose Liner
blog 64 62.8× 847
https://liner.com/learn/how-to-share-folder-online
How to Share Research & Collaborate Online with Ease
blog 64 93.6× 540
https://liner.com/learn/liner-highlighter
Read Faster & Learn Smarter with Liner’s AI Copilot
blog 64 88.1× 579
https://liner.com/ko/learn/the-best-ai-search-2025
학술 자료 검색부터 자료 인용까지 라이너 AI 검색으로 한 번에 끝내세요
blog 64 60.5× 882
https://liner.com/ko/learn/liner-scholar-mode
논문 검색부터 출처 인용까지 라이너 학술모드로 한 번에 끝내세요
blog 64 82.0× 624
https://liner.com/learn/liner-ai-copilot
How to Summarize Articles & Videos Instantly with Liner AI Copilot
pricing 64 82.4× 617 💰 Pricing
https://liner.com/ko/learn/research-with-agents
기존 연구 vs 바이브 리서치: 리서치 패러다임은 어떻게 변하고 있을까
blog 64 58.6× 928
https://liner.com/ko/learn/citation-recommender
인용 추천 에이전트로 연구 논리를 강화할 인용 논문들을 빠르게 찾아보세요.
blog 64 92.8× 568
https://liner.com/learn/citation-recommender
Citation Recommender Agent: Find accurate research sources in seconds
blog 64 78.1× 669
https://liner.com/learn/research-with-agents
Research with AI agents vs traditional research: what’s holding us back
pricing 64 51.5× 1034 💰 Pricing
https://liner.com/ko/learn/hypothesis-generator
좋은 질문 1개로 검증 가능한 연구 가설 빠르게 만드는 방법
blog 64 75.2× 707
https://liner.com/blog/llm-is-not-generative-ai
라이너가 바라본 LLM의 진짜 가치와 방향성
blog 64 61.7× 856
https://liner.com/ko/blog/llm-is-not-generative-ai
라이너가 바라본 LLM의 진짜 가치와 방향성
blog 64 61.9× 853
https://liner.com/ko/learn/liner-highlighter
라이너 하이라이터 - 자료 정리 200% 생산적으로 하는 방법
blog 64 96.2× 536
https://liner.com/ko/learn/best-ai-research-tool
거짓말하는 AI 불안하다면? 라이너로 출처가 분명한 답변을 받아보세요
blog 64 79.7× 646
https://liner.com/ko/news/how-ai-search-is-shaping-the-future-of-education
AI 검색이 공부 방법을 어떻게 바꿀까? 라이너가 말하는 교육의 미래
docs 64 88.5× 567
Showing 20 of 98 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
/ko/ 33 55 1% 249.3× Bot Blocked
/zh/ 12 44 1% 832.8× Bot Blocked
/ja/ 12 43 1% 865.5× Bot Blocked
/features/ 10 53 1% 328.0× Bot Blocked
/learn/ 10 62 0% 83.5× High JS Bloat
/news/ 5 44 0% 121.7× High JS Bloat
/careers/ 4 41 1% 174.1× Bot Blocked
/blog/ 3 59 0% 91.5× High JS Bloat
/pricing/ 1 57 1% 93.5× Bot Blocked
/scholar/ 1 61 1% 217.2× Bot Blocked
/contact/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 17 1% 39747.6× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/products/ 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/liner.com

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

🔗 Similar education Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
liner.com (this site) 35 68 Next.js 84.0× 1
sneakerfreak.ru 60 78 Next.js 16.4× 1 Compare →
utadeo.edu.co 60 75 Drupal 8.1× 1 Compare →
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📊 Semantic Share of Voice

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

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 1% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
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 Liner?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Liner does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Liner work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Liner."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for liner.com:

Current Score
68
Projected Score
76
Improvement
+8 pts
Reduce token bloat +5 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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