loan112.com 69 C
🛡️ SEO 47 🤖 GEO 75 ⚡ Perf 74 🏗️ Arch 82

loan112.com — Global SEODiff Score 69/100

loan112.com
📊

At 65/100, the ACRI for loan112.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the finance vertical, this places loan112.com 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. The token bloat ratio sits at a lean 2.5×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (47) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 1 Mar 16
🔔 Recent AI Indexing Activity
🔄 Mar 11 Content change detected
Does your site score higher than loan112.com?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)47 × 0.25 = 11.8
🤖 AI Readiness / GEO (40% weight)75 × 0.40 = 30.0
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)82 × 0.15 = 12.3
Weighted sum = 11.8 + 30.0 + 14.8 + 12.3
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
26
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 11%
Rank #108722
+35 pts
Gap
AI (ACRI)
Top 45%
Score 65/100

loan112.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 loan112.com ranks here

Tech stackCustom / Proprietary
Industryfinance
RenderingSSR
Schema coverage0 blocks
Token bloat2.5×

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

47/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

60 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

150 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✓ Canonical tag present → https://www.loan112.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ➖ 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

75/100 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 finance sector, cardpay.com (ACRI: 82) 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 →
loan112.com
47
Your ACRI Score
82
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. cardpay.com has schema coverage of 1 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 26/100 — Low
Structured Elements 42 elements (31 lists, 2 rows, 9 headers)
Total Words2092
Raw Density2.0%
💡Low structure score (26/100). Your content appears as a wall of text with few structured HTML elements. You have 31 list items, 2 table rows, 9 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 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

53
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

40%
🗑️ 60%
Useful Content (28.3 KB)Bloat (42.2 KB)
Token Bloat Ratio2.5× — Lean

Multimodal Readiness

Visual Context95% Optimized for Vision
Image Alt Coverage21 / 22 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

62 Entropy
Fair Token Bloat: Medium
Noise Ratio: 59.9% · SNR: 0.67 · Signal: 7243 / Noise: 10813 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 loan112.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
Loan112 is a loan aggregator platform connecting borrowers with multiple lenders to provide tailored loan offers and simplify the application process.
Target Audience
Borrowers seeking personal loans, individuals with limited credit history, and those needing quick access to funds for various purposes.
Pricing Model
Variable – Loan offers from multiple lenders with varying interest rates and terms.
🔗 Integration Partners
RBIBanksNBFCs
🛡️ Compliance Standards
RBI Reg. No.: 8-14.02719
🏆 Competitive Moat
Aggregated loan offers from multiple lenders, simplifying the comparison process and providing transparency.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Faq'sHow it Works
⚡ Key Pain Points
• Potential for hidden charges (addressed with transparency)
• Complex loan terminology (FAQ section clarifies)
• Reliance on third-party lenders
Analyzed by SEODiff AI · 2026-03-06

🔧 Tech Stack

AI-Readiness Score50/100
ServerApache/2.4.58 (Ubuntu)
CDN
HTTP Status200
Load Time959 ms
Raw HTML Size70.5 KB
Visible Text Size28.3 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

959 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

680
DOM nodes
70 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, 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

82/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.loan112.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

24
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 → 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 47/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for loan112.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/loan112.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=loan112.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 7 pages · Deep-10

Homepage ACRI
47
Single-page score
-38
Severe hidden bloat
Δ delta
Site-Wide ACRI
10
Avg across 7 pages · Range 0–67
🔍
Hidden Bloat Detected

Homepage scores 47, but internal pages average only 10 — a -38-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
907
Avg Bloat
1.6×
Page Type ACRI Token Bloat Words Status
https://loan112.com/faq
Personal Loan FAQs | Loan112 - Your Queries Resolved
support 67 10.9× 907
https://loan112.com/pricing pricing 0 0.0× 0
https://loan112.com/about about 0 0.0× 0
https://loan112.com/features product 0 0.0× 0
https://loan112.com/products product 0 0.0× 0
https://loan112.com/blog blog 0 0.0× 0
https://loan112.com/docs docs 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
/about/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 67 0% 10.9× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 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
🔄 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/loan112.com

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

🔗 Similar finance Sites

Domains with a similar tech stack, industry, and AI readiness profile to loan112.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
loan112.com (this site) 47 65 Custom / Proprietary 2.5× 0
akita-bank.co.jp 72 80 Custom / Proprietary 2.5× 0 Compare →
kazan.1000bankov.ru 72 82 Custom / Proprietary 3.3× 1 Compare →
clarkewillmott.com 72 80 Custom / Proprietary 7.6× 1 Compare →
miraeassetmf.co.in 72 82 Custom / Proprietary 11.0× 3 Compare →
gtbghana.com 72 86 Custom / Proprietary 24.1× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite loan112.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 loan112.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": "Loan112",
  "url": "https://loan112.com",
  "logo": "https://www.loan112.com/public/loan112/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": "Loan112",
  "url": "https://loan112.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://loan112.com/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 Loan112?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Loan112 does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Loan112 work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Loan112."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for loan112.com:

Current Score
65
Projected Score
78
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

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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