auto-data.net 65 C
🛡️ SEO 55 🤖 GEO 72 ⚡ Perf 53 🏗️ Arch 78

auto-data.net — Global SEODiff Score 65/100

auto-data.net
📊

At 66/100, the ACRI for auto-data.net indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places auto-data.net above the industry average of 58 —, 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. Token bloat registers at 6.2× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

65
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (53) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 27, 2026 · 📋 API
📈 ACRI Trend 23 snapshots
Feb 22 Feb 27
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than auto-data.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)55 × 0.25 = 13.8
🤖 AI Readiness / GEO (40% weight)72 × 0.40 = 28.8
⚡ Performance (20% weight)53 × 0.20 = 10.6
🏗️ Architecture & Trust (15% weight)78 × 0.15 = 11.7
Weighted sum = 13.8 + 28.8 + 10.6 + 11.7
Global SEODiff Score = 65 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
0
Structure
avg 36
44
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #18839
+42 pts
Gap
AI (ACRI)
Top 43%
Score 66/100

auto-data.net 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 auto-data.net ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage2 blocks
Token bloat6.2×

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

55/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

107 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

330 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://www.auto-data.net/bg/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → bg
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Технически характеристики, Разход на гориво на автомобили
  • ✓ og:description — Технически характеристики, Разход на гориво, Размери, Мощност, Максимална скорост, Въртящ момент, Ускорение 0 - 100 км/ч, Обем на двигателя, Задвижване, Размери на гумите, Тип каросерия
  • ✓ og:image — preview
  • ✗ 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

72/100 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 →
auto-data.net
42
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 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words1635
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 Blocks2 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

52
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability52/100 — 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

16%
🗑️ 84%
Useful Content (11.2 KB)Bloat (58.4 KB)
Token Bloat Ratio6.2× — Normal

Multimodal Readiness

Visual Context99% Optimized for Vision
Image Alt Coverage140 / 141 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 83.9% · SNR: 0.19 · Signal: 2874 / Noise: 14951 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 auto-data.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
This platform provides a comprehensive and regularly updated database of car specifications, including technical details, history reports, and damage assessments,
Target Audience
Automotive dealers, car valuation experts, insurance companies, and classic car collectors.
Pricing Model
Subscription-based, with tiered pricing based on data access and features (likely starting around $99/month and increasing with added functionality).
🔗 Integration Partners
CarVertical
🏆 Competitive Moat
Extensive and regularly updated car database combined with damage and history reports, offering a level of detail not readily available elsewhere.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Car Specs APICatalogCar history report
⚡ Key Pain Points
• Thin landing pages for features
• Lack of structured FAQ schema
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-01 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time1008 ms
Raw HTML Size69.6 KB
Visible Text Size11.2 KB

Performance & Speed

53/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1008 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

935
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

3
tracker scripts
3
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googlesyndication.comdoubleclick.netgoogletagmanager.com
📐 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

78/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.auto-data.net/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

150
internal links
0
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 → bg
  • ✓ 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 42/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for auto-data.net
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/auto-data.net" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=auto-data.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 113 pages · Deep-10

Homepage ACRI
42
Single-page score
+41
Subpages outperform homepage
Δ delta
Site-Wide ACRI
83
Avg across 113 pages · Range 52–90
Total Words
84360
Avg Bloat
6.0×
Page Type ACRI Token Bloat Words Status
https://www.auto-data.net/bg/suzuki-sx4-s-cross-test-drayv-document-11
Suzuki SX4 S-Cross - Тест драйв
docs 90 4.9× 813
https://www.auto-data.net/de/mercedes-benz-mit-grossen-premieren-auf-der-shanghai-car-show-document-13
Mercedes-Benz mit großen Premieren auf der Shanghai Car Show
docs 90 5.0× 697
https://www.auto-data.net/en/mercedes-benz-2017-auto-shanghai-document-13
Mercedes-Benz at 2017 Auto Shanghai
docs 90 4.9× 652
https://www.auto-data.net/de/dinge-die-sie-beim-kauf-eines-gebrauchtwagens-beachten-mussen-document-20
9 Dinge, die Sie beim Kauf eines Gebrauchtwagens beachten müssen
docs 90 4.3× 791
https://www.auto-data.net/en/hidden-risks-buying-second-hand-vehicle-document-20
9 hidden risks of buying a second-hand vehicle
docs 90 3.6× 877
https://www.auto-data.net/de/was-ist-die-wartung-eines-wagens-und-warum-ist-wichtig-diese-regelmassig-durchzufuhren-document-22
Was ist die Wartung eines Wagens und warum ist es so wichtig diese regelmäßig durchzuführen?
docs 90 3.9× 969
https://www.auto-data.net/bg/kakvo-predstavlyava-poddrazhkata-kola-zashto-vazhno-izvarshva-redovno-document-22
Какво представлява поддръжката на кола и защо е важно да се извършва редовно?
docs 90 4.9× 940
https://www.auto-data.net/en/what-car-maintenance-and-why-must-become-your-routine-document-22
What is car maintenance and why it must become your routine?
docs 90 3.1× 1266
https://www.auto-data.net/de/der-luftfilter-fahrgastraum-was-ist-das-wie-funktioniert-der-luftfilter-wie-wird-ausgetauscht-document-23
Der Luftfilter im Fahrgastraum - Was ist das? Wie funktioniert der Luftfilter? Wie wird er ausgetauscht?
docs 90 3.5× 1156
https://www.auto-data.net/bg/vazdushniyat-filtar-kupeto-kakvo-predstavlyava-kak-raboti-kak-podmenya-document-23
Въздушният филтър в купето - Какво представлява? Как работи? Как се подменя?
docs 90 4.5× 1087
https://www.auto-data.net/en/car-cabin-air-filters-what-are-they-what-they-do-how-change-yours-document-23
Car Cabin Air Filters: What are they? What they do? How to change yours?
docs 90 2.9× 1301
https://www.auto-data.net/de/der-pionierkrieg-silicon-valley-der-kampf-der-elektroautos-gewinnt-geschwindigkeit.-teil-document-24
Der Pionierkrieg im Silicon Valley: Der Kampf der Elektroautos gewinnt an Geschwindigkeit. - Teil I
legal 90 4.1× 911
https://www.auto-data.net/en/pioneers-war-the-silicon-valley.-the-battle-for-the-electric-autonomous-future-getting-serious-part-document-24
Pioneers' war at the Silicon Valley. The battle for the electric autonomous future is getting serious - Part I
docs 90 3.4× 1091
https://www.auto-data.net/de/der-pionierkrieg-silicon-valley-der-kampf-der-elektroautos-gewinnt-geschwindigkeit.-teil-document-25
Der Pionierkrieg im Silicon Valley: Der Kampf der Elektroautos gewinnt an Geschwindigkeit. - Teil II
legal 90 4.6× 724
https://www.auto-data.net/en/pioneers-war-the-silicon-valley.-the-battle-for-the-electric-autonomous-future-getting-serious-part-document-25
Pioneers' war at the Silicon Valley. The battle for the electric autonomous future is getting serious - Part II
docs 90 3.9× 845
https://www.auto-data.net/en/dubai-international-motor-show-the-key-the-immense-growth-the-regional-automotive-sector-document-28
Dubai International Motor Show - the key to the immense growth in the regional automotive sector
docs 90 3.1× 1153
https://www.auto-data.net/en/dubai-international-motor-show-2017-and-what-expect-from-its-14th-edition-document-27
Dubai International Motor Show 2017 and what to expect from its 14th edition
docs 90 3.6× 887
https://www.auto-data.net/en/the-fast-lane-dubai-international-motor-show-league-its-own-with-eye-catching-line-up-awe-inspiring-supercars-document-29
IN THE FAST LANE! DUBAI INTERNATIONAL MOTOR SHOW IN A LEAGUE OF ITS OWN WITH EYE-CATCHING LINE-UP OF AWE-INSPIRING SUPERCARS
docs 90 3.6× 892
https://www.auto-data.net/de/2017-toyota-land-cruiser-150-ein-kraftvolles-auto-fur-abenteuer-document-30
2017 Toyota Land Cruiser 150 - ein kraftvolles Auto für Abenteuer!
docs 90 4.3× 935
https://www.auto-data.net/bg/2017-toyota-land-cruiser-150-edna-moshtna-kola-sazdadena-priklyucheniya-document-30
2017 Toyota Land Cruiser 150 - една мощна кола, създадена за приключения!
docs 90 4.9× 970
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
/bg/ 44 82 0% 6.5× High JS Bloat
/en/ 40 82 0% 5.7× High JS Bloat
/de/ 17 87 0% 4.8× Healthy
/es/ 2 88 0% 4.3× Healthy
/docs/ 1 85 0% 7.4× High JS Bloat
/about/ 1 85 0% 7.4× High JS Bloat
/faq/ 1 85 0% 7.3× High JS Bloat
/pricing/ 1 85 0% 7.4× High JS Bloat
/products/ 1 85 0% 7.3× High JS Bloat
/features/ 1 85 0% 7.4× High JS Bloat
/integrations/ 1 85 0% 7.4× High JS Bloat
/blog/ 1 85 0% 7.4× High JS Bloat
/contact/ 1 85 0% 7.4× High JS Bloat
/case-studies/ 1 85 0% 7.3× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 113 pages
api.auto-data.net ×113
sofiamotorshow.bg ×2
businessdictionary.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/auto-data.net

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
auto-data.net (this site) 42 66 Custom / Proprietary 6.2× 2
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📊 Semantic Share of Voice

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

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 Auto-data?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Auto-data does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Auto-data work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Auto-data."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
66
Projected Score
72
Improvement
+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