univet.hu 74 B
🛡️ SEO 73 🤖 GEO 86 ⚡ Perf 62 🏗️ Arch 60

univet.hu — Global SEODiff Score 74/100

univet.hu
📊

With an ACRI of 86/100, univet.hu stands out as one of the highest-performing sites in AI search visibility, outranking 99% of its peers. In the social sector, univet.hu outperforms the average (57), suggesting strong competitive positioning in AI search. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. With a 4.8× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

74
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Architecture (60) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
Does your site score higher than univet.hu?
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)73 × 0.25 = 18.2
🤖 AI Readiness / GEO (40% weight)86 × 0.40 = 34.4
⚡ Performance (20% weight)62 × 0.20 = 12.4
🏗️ Architecture & Trust (15% weight)60 × 0.15 = 9.0
Weighted sum = 18.2 + 34.4 + 12.4 + 9.0
Global SEODiff Score = 74 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
82
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 30%
Rank #303986
-29 pts
Gap
AI (ACRI)
Top 1%
Score 86/100

univet.hu ranks much higher on Google (Tranco Top 30%) than in AI search (Top 1%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why univet.hu ranks here

Tech stackWordPress
Industrysocial
RenderingSSR
Schema coverage1 blocks
Token bloat4.8×

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

73/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

56 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

15 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✓ Canonical tag present → https://univet.hu/hu/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → hu-HU
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Állatorvostudományi Egyetem Budapest
  • ✓ og:description — Az Állatorvostudományi Egyetem a koronavírushoz kapcsolódó járványügyi helyzet miatt az eddigi intézkedéseit tovább szigorította.
  • ✓ 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

86/100 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 social sector, martin-sad.ru (ACRI: 87) 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 →
univet.hu
70
Your ACRI Score
87
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. martin-sad.ru has schema coverage of 63 blocks and uses Custom / Proprietary. 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 82/100 — Excellent
Structured Elements 108 elements (94 lists, 7 rows, 7 headers)
Total Words533
Raw Density20.3%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

3/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

80
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability80/100 — AI models can easily 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

20%
🗑️ 80%
Useful Content (16.7 KB)Bloat (64.1 KB)
Token Bloat Ratio4.8× — Lean

Multimodal Readiness

Visual Context41% Optimized for Vision
Image Alt Coverage9 / 22 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 41% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

5 Entropy
Poor Token Bloat: High
Noise Ratio: 79.3% · SNR: 0.26 · Signal: 4278 / Noise: 16420 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 univet.hu 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
Az egyetem provides a collaborative project management platform for distributed engineering teams, combining sprint planning with AI-powered resource optimization to
Target Audience
Engineering managers, product managers, scrum masters, software development teams, and CTOs.
Pricing Model
Offers a free plan with limited features and paid tiers starting at $12/user/month, with options for larger teams and advanced functionality.
🔗 Integration Partners
SlackGitHubJira
🛡️ Compliance Standards
SOC 2
🏆 Competitive Moat
The platform's AI-driven sprint planning and real-time resource allocation provide a significant advantage over traditional project management tools, leading to improved team efficiency and reduced project delays.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-14

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerApache/2.4.65 (Debian)
CDN
HTTP Status200
Load Time1538 ms
Raw HTML Size80.9 KB
Visible Text Size16.7 KB

Performance & Speed

62/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1538 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

615
DOM nodes
81 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.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

60/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

111
internal links
6
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 → hu-HU
  • ✓ 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 70/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
70
Single-page score
-55
Severe hidden bloat
Δ delta
Site-Wide ACRI
15
Avg across 10 pages · Range 0–75
🔍
Hidden Bloat Detected

Homepage scores 70, but internal pages average only 15 — a -55-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
0%
Topical Drift
TF-IDF cosine similarity
Total Words
3442
Avg Bloat
180.8×
Page Type ACRI Token Bloat Words Status
https://univet.hu/about
Az egyetem - Állatorvostudományi Egyetem Budapest
about 75 16.8× 3362
https://univet.hu/contact
Kapcsolat - Állatorvostudományi Egyetem Budapest
support 44 186.5× 72
https://univet.hu/faq
GYIK - Állatorvostudományi Egyetem Budapest
support 34 1604.4× 8
https://univet.hu/pricing pricing 0 0.0× 0
https://univet.hu/products product 0 0.0× 0
https://univet.hu/features product 0 0.0× 0
https://univet.hu/docs docs 0 0.0× 0
https://univet.hu/blog blog 0 0.0× 0
https://univet.hu/case-studies social-proof 0 0.0× 0
https://univet.hu/integrations integrations 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
/contact/ 1 44 0% 186.5× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 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
/products/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 75 0% 16.9× High JS Bloat
/faq/ 1 34 0% 1604.5× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
instagram.com ×3
youtube.com ×3
allatorvosiegyetem.sharepoint.com ×3
twitter.com ×3
dfi.univet.hu ×3
elearning.univet.hu ×3
office.com ×3
facebook.com ×3
🔄 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/univet.hu

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

🔗 Similar social Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
univet.hu (this site) 70 86 WordPress 4.8× 1
marigliano.net 81 90 WordPress 4.6× 1 Compare →
kvaclub.ru 81 90 WordPress 6.0× 1 Compare →
fathimaparvin.com 82 90 WordPress 5.9× 1 Compare →
officesnapshots.com 81 84 WordPress 1.9× 1 Compare →
zeus02.angkakeramatjitu.com 81 87 WordPress 1.5× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for univet.hu:

Current Score
86
Projected Score
92
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
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