airpaz.com 63 C
🛡️ SEO 63 🤖 GEO 60 ⚡ Perf 47 🏗️ Arch 93

airpaz.com — Global SEODiff Score 63/100

airpaz.com
📊

At 71/100, the ACRI for airpaz.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the infrastructure sector, airpaz.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. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
🎯 Top Fix: Reduce token bloat (165×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Feb 23 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 11 Content change detected
Does your site score higher than airpaz.com?
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)63 × 0.25 = 15.8
🤖 AI Readiness / GEO (40% weight)60 × 0.40 = 24.0
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 15.8 + 24.0 + 9.4 + 13.9
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
39
Structure
avg 35
4
Schema
avg 9
80
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #16862
+29 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

airpaz.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 airpaz.com ranks here

Tech stackNuxt.js
RenderingSSR
Schema coverage2 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

63/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

51 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

151 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 14
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Book Flight & Hotel Tickets | Travel Deals
  • ✓ og:description — Find your favorite flights and hotel availability is easier on Airpaz app. Book cheap flight tickets & hotel with exciting promo and hotel deals today!
  • ✓ 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

60/100 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 →
airpaz.com
46
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 39/100 — Low
Structured Elements 16 elements (16 lists, 0 rows, 0 headers)
Total Words350
Raw Density4.6%
💡Low structure score (39/100). Your content appears as a wall of text with few structured HTML elements. You have 16 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 Blocks2 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

38
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability38/100 — 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 (2.7 KB)Bloat (445.3 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context97% Optimized for Vision
Image Alt Coverage35 / 36 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 448.0 KB, but only 2.7 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: 99.4% · SNR: 0.01 · Signal: 694 / Noise: 113996 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 airpaz.com 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
Airpaz helps users find and book flights and hotel accommodations.
Target Audience
Travelers, tourists, vacationers
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Exclusive flight and hotel deals, personalized recommendations.
📊 Content Depth
3/10
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkNuxt.js
AI-Readiness Score80/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1811 ms
Raw HTML Size448.0 KB
Visible Text Size2.7 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1811 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

892
DOM nodes
448 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache, no-store
  • ✓ CDN cache status → HIT
  • ✓ 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.airpaz.com/en/sitemaps.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

39
internal links
13
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 46/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for airpaz.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/airpaz.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=airpaz.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 129 pages · Deep-10

Homepage ACRI
46
Single-page score
+3
Consistent readability
Δ delta
Site-Wide ACRI
49
Avg across 129 pages · Range 0–57
Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
59041
Avg Bloat
235.5×
Page Type ACRI Token Bloat Words Status
https://www.airpaz.com/en/flight/code/DL-6072
Flight Schedule of Delta Air Lines (DL-6072) - Airpaz
pricing 57 206.7× 563 💰 Pricing
https://www.airpaz.com/en/flight/code/AI-9696
Flight Schedule of Air India (AI-9696) - Airpaz
pricing 57 211.3× 545 💰 Pricing
https://www.airpaz.com/en/flight/code/CZ-384
Flight Schedule of China Southern (CZ-384) - Airpaz
pricing 57 210.3× 598 💰 Pricing
https://www.airpaz.com/en/flight/code/KL-588
Flight Schedule of KLM Royal Dutch (KL-588) - Airpaz
pricing 57 219.0× 520 💰 Pricing
https://www.airpaz.com/en/flight/code/LH-6404
Flight Schedule of Lufthansa (LH-6404) - Airpaz
pricing 57 232.9× 503 💰 Pricing
https://www.airpaz.com/en/flight/code/AA-1564
Flight Schedule of American Airlines (AA-1564) - Airpaz
pricing 57 220.5× 524 💰 Pricing
https://www.airpaz.com/en/flight/code/AK-6446
Flight Schedule of AirAsia (AK-6446) - Airpaz
pricing 57 220.9× 515 💰 Pricing
https://www.airpaz.com/en/flight/code/NH-4731
Flight Schedule of All Nippon Airways (NH-4731) - Airpaz
pricing 57 224.9× 505 💰 Pricing
https://www.airpaz.com/en/flight/code/AC-777
Flight Schedule of Air Canada (AC-777) - Airpaz
pricing 57 188.8× 632 💰 Pricing
https://www.airpaz.com/en/flight/code/EK-2406
Flight Schedule of Emirates (EK-2406) - Airpaz
pricing 57 219.6× 517 💰 Pricing
https://www.airpaz.com/en/flight/code/LY-336
Flight Schedule of El Al (LY-336) - Airpaz
pricing 57 218.6× 519 💰 Pricing
https://www.airpaz.com/en/flight/code/G3-1636
Flight Schedule of Gol Transportes Aéreos (G3-1636) - Airpaz
pricing 57 175.8× 660 💰 Pricing
https://www.airpaz.com/en/flight/code/JT-799
Flight Schedule of Lion Air (JT-799) - Airpaz
pricing 57 194.0× 611 💰 Pricing
https://www.airpaz.com/en/flight/code/DL-4907
Flight Schedule of Delta Air Lines (DL-4907) - Airpaz
pricing 57 210.0× 549 💰 Pricing
https://www.airpaz.com/en/flight/code/SG-690
Flight Schedule of SpiceJet (SG-690) - Airpaz
pricing 57 213.9× 535 💰 Pricing
https://www.airpaz.com/en/flight/code/WY-822
Flight Schedule of Oman Air (WY-822) - Airpaz
pricing 57 212.7× 637 💰 Pricing
https://www.airpaz.com/en/flight/code/MU-2172
Flight Schedule of China Eastern (MU-2172) - Airpaz
pricing 57 220.6× 515 💰 Pricing
https://www.airpaz.com/en/flight/code/LH-121
Flight Schedule of Lufthansa (LH-121) - Airpaz
pricing 57 225.9× 519 💰 Pricing
https://www.airpaz.com/en/flight/code/DL-5049
Flight Schedule of Delta Air Lines (DL-5049) - Airpaz
pricing 57 223.3× 501 💰 Pricing
https://www.airpaz.com/en/flight/code/UA-8841
Flight Schedule of United Airlines (UA-8841) - Airpaz
pricing 57 198.8× 584 💰 Pricing
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
/en/ 123 51 1% 245.1× Bot Blocked
/products/ 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
/about/ 1 51 1% 241.3× Bot Blocked
/docs/ 1 0 0% 0.0× Low AI Readiness
/features/ 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/airpaz.com

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

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📊 Semantic Share of Voice

How often would an AI cite airpaz.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 airpaz.com. 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": "Airpaz",
  "url": "https://airpaz.com",
  "logo": "https://airpaz.com/favicon.ico",
  "sameAs": []
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 0% 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 Airpaz?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Airpaz does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Airpaz work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Airpaz."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
71
Projected Score
85
Improvement
+14 pts
Add Organization schema +6 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
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