homecredit.net 73 B
🛡️ SEO 64 🤖 GEO 80 ⚡ Perf 68 🏗️ Arch 79

homecredit.net — Global SEODiff Score 73/100

homecredit.net
📊

With a solid 75/100 ACRI, homecredit.net is well-positioned for AI search — better than 81% of sites in the Radar. Within the ecommerce vertical, this places homecredit.net above the industry average of 57 —, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. The 5.2× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. 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.

73
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (64) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than homecredit.net?
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)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)79 × 0.15 = 11.8
Weighted sum = 16.0 + 32.0 + 13.6 + 11.8
Global SEODiff Score = 73 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
54
Structure
avg 36
2
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #65641
+13 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

homecredit.net shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why homecredit.net ranks here

Tech stackWordPress
Industryecommerce
RenderingSSR
Schema coverage1 blocks
Token bloat5.2×

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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

17 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

49 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.homecredit.net/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Home | Homecredit
  • ✓ og:description — Home Credit Group – International consumer finance provider focusing on responsible lending to people with little or no credit history.
  • ✓ 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

80/100 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 ecommerce sector, plantes-avenue.fr (ACRI: 88) 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 →
homecredit.net
57
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plantes-avenue.fr has schema coverage of 7 blocks and uses PrestaShop. 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 54/100 — Fair
Structured Elements 37 elements (37 lists, 0 rows, 0 headers)
Total Words426
Raw Density8.7%

🏷️ 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

61
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability61/100 — 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

19%
🗑️ 81%
Useful Content (8.7 KB)Bloat (36.2 KB)
Token Bloat Ratio5.2× — Normal

Multimodal Readiness

Visual Context33% Optimized for Vision
Image Alt Coverage2 / 6 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 33% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 80.7% · SNR: 0.24 · Signal: 2223 / Noise: 9269 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of homecredit.net 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
Home Credit provides financial services and lending solutions to underserved customers globally.
Target Audience
Financial service providers, retail partners, customers seeking loans
Pricing Model
Not specified - operates on a business-to-business model.
🔗 Integration Partners
retail platforms
🏆 Competitive Moat
Established history, scalable technology platform, and strong partner integrations.
📊 Content Depth
4/10
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-03 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Serveropenresty
CDN
HTTP Status200
Load Time1907 ms
Raw HTML Size44.9 KB
Visible Text Size8.7 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1907 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

323
DOM nodes
45 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

79/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.homecredit.net/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

40
internal links
4
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-US
  • ✓ 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 57/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for homecredit.net
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/homecredit.net" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=homecredit.net" 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 56 pages · Deep-10

Homepage ACRI
57
Single-page score
+7
Consistent readability
Δ delta
Site-Wide ACRI
64
Avg across 56 pages · Range 34–90
Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
39173
Avg Bloat
57.5×
Page Type ACRI Token Bloat Words Status
https://www.homecredit.net/media/blog/200407-paul-hu-the-man-who-bought-millions-of-masks.aspx
The Man Who Brought Millions of Masks | Homecredit
blog 90 4.6× 2195
https://www.homecredit.net/media/blog/200811-jan-ruzicka-interview-harun-rashid-khan.aspx
HC's Jan Ruzicka interviews Harun Rashid Khan | Homecredit
pricing 90 3.9× 2861 💰 Pricing
https://www.homecredit.net/media/press-releases/2016/group-ceo-interview-for-forbes-cz.aspx
Group CEO Jiří Šmejc's interview for the Czech edition of Forbes online | Homecredit
pricing 90 4.6× 2189 💰 Pricing
https://www.homecredit.net/media/press-releases/2017/pr-020717-andrea-chuda-interview-forbes-sk.aspx
Bratislava Moscow Tianjin: an interview with Andrea Chudá, Head of Sales at Home Credit China for Forbes Slovakia | Homecredit
pricing 90 3.8× 2909 💰 Pricing
https://www.homecredit.net/media/blog/200124-tomas-pondelik.aspx
Mobile super apps are turning into operating systems for life | Homecredit
pricing 85 9.2× 922 💰 Pricing
https://www.homecredit.net/media/press-releases/2009/pr-23-11-2009.aspx
Home Credit & Finance Bank: Ivan Svitek appointed Chairman of the Board of Directors of the Home Credit & Finance Bank | Homecredit
pricing 85 8.7× 1024 💰 Pricing
https://www.homecredit.net/media/press-releases/2009/pr-18-03-2009.aspx
Home Credit and Finance Bank - IFRS results for the twelve month period ended 31 December 2008: Increase in net profit of 85% reflects robustness of HCFB business model in a challenging economic environment | Homecredit
pricing 85 5.7× 1802 💰 Pricing
https://www.homecredit.net/media/press-releases/2017/annica-witschard-interview-for-tyden.aspx
HC Philippines CEO Annica Witschard interview with the Czech "Tyden" weekl | Homecredit
pricing 85 5.7× 1666 💰 Pricing
https://www.homecredit.net/media/press-releases/2017/pr-030217-ivo-slanina-vietnam-pravo.aspx
Vietnam can be an inspiration in many ways: an interview with Ivo Slanina, Head of Sales of HC Vietnam, for the Czech Pravo daily | Homecredit
other 85 6.7× 1369
https://www.homecredit.net/media/press-releases/2017/jiri-smejc-interview-for-mf-dnes-2016-results.aspx
We're advancing on America: an interview with Jiri Smejc, Home Credit Group CEO, for Mlada Fronta Dnes, a leading Czech daily | Homecredit
other 85 5.3× 1819
https://www.homecredit.net/media/press-releases/2017/29-08-2017-c.aspx
Home Credit B.V.: IFRS consolidated results for the period ended 30 June 2017 | Homecredit
pricing 85 5.2× 2234 💰 Pricing
https://www.homecredit.net/media/press-releases/2009/pr-18-06-2009.aspx
Home Credit and Finance Bank: IFRS results for the three month period ended 31 March 2009 | Homecredit
pricing 85 5.1× 2016 💰 Pricing
https://www.homecredit.net/media/blog/07-07-2016.aspx
4 Ways Tech Will Change Consumer Lenders of Tomorrow | Homecredit
pricing 75 14.0× 582 💰 Pricing
https://www.homecredit.net/media/blog/07-07-2016-c.aspx
Consumer lending: A key to greater financial inclusion | Homecredit
blog 75 11.2× 737
https://www.homecredit.net/media/blog/07-07-2016-a.aspx
China’s consumer lending market: The land of plenty | Homecredit
pricing 75 15.1× 562 💰 Pricing
https://www.homecredit.net/media/blog/200227-sickova-hilbert-even-small-percent-change-means-big-savings.aspx
When a Small Percentage Change Means Big Savings | Homecredit
blog 75 10.4× 822
https://www.homecredit.net/media/blog/200204-milan-urbasek.aspx
We can still tell that robots aren’t people – but we can have a conversation with them anyway | Homecredit
blog 75 13.7× 597
https://www.homecredit.net/media/blog/07-07-2016-b.aspx
Credit history in the making | Homecredit
pricing 75 14.7× 551 💰 Pricing
https://www.homecredit.net/media/press-releases/2017/170110-ondrej-frydrych-serving-the-unbanked-population.aspx
Serving the Unbanked Population: a speech by Home Credit China CEO Ondrej Frydrych to the 21st Century Finance Summit of Asia | Homecredit
pricing 75 13.7× 607 💰 Pricing
https://www.homecredit.net/media/press-releases/2009/pr-29-10-2009.aspx
Home Credit B.V.: IFRS consolidated results for the six months period ended 30 June 2009 | Homecredit
other 75 11.4× 736
Showing 20 of 56 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
/media/ 41 73 0% 16.5× High JS Bloat
/company/ 12 40 0% 179.4× High JS Bloat
/about/ 1 57 0% 22.7× High JS Bloat
/contact/ 1 44 0% 148.9× High JS Bloat
/careers/ 1 34 0% 217.7× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 56 pages
youtube.com ×56
linkedin.com ×56
tiktok.com ×56
cs-cz.facebook.com ×56
homecredit.ru ×5
ppf.eu ×4
emmacapital.cz ×2
scmp.com ×2
🔄 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/homecredit.net

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

🔗 Similar ecommerce Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
homecredit.net (this site) 57 75 WordPress 5.2× 1
maisonbourgeon.com 82 90 WordPress 4.1× 5 Compare →
okosgazdi.hu 82 86 Custom / Proprietary 2.6× 1 Compare →
megapolys.com 81 87 Express 3.5× 2 Compare →
mil-freaks.com 82 84 Custom / Proprietary 2.0× 1 Compare →
specmet.kz 81 86 Custom / Proprietary 1.5× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite homecredit.net 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 homecredit.net. 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": "Homecredit",
  "url": "https://homecredit.net",
  "logo": "https://www.homecredit.net/wp-content/themes/homecredit/gfx/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 Homecredit?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Homecredit does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Homecredit work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Homecredit."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for homecredit.net:

Current Score
75
Projected Score
87
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).

Is this your company?

Monitor your AI visibility score weekly and get alerted when changes happen.

Start Free →

🧭 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