welovebudapest.com 56 D
🛡️ SEO 25 🤖 GEO 73 ⚡ Perf 52 🏗️ Arch 69

welovebudapest.com — Global SEODiff Score 56/100

welovebudapest.com
📊

With a 48/100 ACRI, welovebudapest.com has a moderate AI visibility profile — functional but not yet optimized for AI crawlers. Compared to other infrastructure sites (avg score: 57), welovebudapest.com is trailing the benchmark, indicating room for competitive improvement. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. A tight 2.7× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Most AI crawlers are restricted by robots.txt, limiting how AI-powered search engines can index and surface this content.

56
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (25) has the most room for improvement.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Mar 1 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
🔄 Mar 20 Content change detected
📉 Mar 19 ACRI -1 (44→43)
📈 Mar 17 ACRI +1 (43→44)
🔄 Mar 11 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)25 × 0.25 = 6.2
🤖 AI Readiness / GEO (40% weight)73 × 0.40 = 29.2
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)69 × 0.15 = 10.3
Weighted sum = 6.2 + 29.2 + 10.4 + 10.3
Global SEODiff Score = 56 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
40
Bot Access
avg 92
99
Rendering
avg 93
28
Structure
avg 35
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 13%
Rank #127662
+46 pts
Gap
AI (ACRI)
Top 58%
Score 48/100

welovebudapest.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 welovebudapest.com ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage1 blocks
Token bloat2.7×

Fastest improvements

  • Allow GPTBot in robots.txt so AI crawlers can access your pages (see Crawl Access).
  • 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

25/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

60 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 60
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://welovebudapest.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → hu
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✓ 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

73/100 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 →
welovebudapest.com
43
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)
Blocked
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Blocked
Google-Extended
Blocked
Googlebot
Allowed
💡GPTBot is blocked. To appear in ChatGPT citations, add Allow: / under User-agent: GPTBot in your robots.txt.

👻 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 28/100 — Low
Structured Elements 23 elements (23 lists, 0 rows, 0 headers)
Total Words1010
Raw Density2.3%
💡Low structure score (28/100). Your content appears as a wall of text with few structured HTML elements. You have 23 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 Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.

📐 AI Efficiency Metrics Docs

54
AI Extractability
Low
Crawl Cost
High
Blocklist Risk
Extractability54/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskHigh — 3 of 5 AI crawlers blocked

Token Bloat Research

37%
🗑️ 63%
Useful Content (57.4 KB)Bloat (98.3 KB)
Token Bloat Ratio2.7× — Lean

Multimodal Readiness

Visual Context15% Optimized for Vision
Image Alt Coverage8 / 53 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 15% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

57 Entropy
Fair Token Bloat: Medium
Noise Ratio: 63.1% · SNR: 0.58 · Signal: 14695 / Noise: 25169 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 welovebudapest.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
This website provides information about restaurants, events, and brunch spots in Budapest.
Target Audience
Tourists, locals, foodies, event attendees in Budapest
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Local event and restaurant directory focused on Budapest
📊 Content Depth
3/10
Analyzed by SEODiff AI · 2026-03-07

🔧 Tech Stack

AI-Readiness Score50/100
ServerApache
CDN
HTTP Status200
Load Time732 ms
Raw HTML Size155.7 KB
Visible Text Size57.4 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

732 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1610
DOM nodes
156 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → public,max-age=60
  • ✗ 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

69/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → http://welovebudapest.com/sitemap/sitemapindex.xml
  • ✓ Googlebot allowed
  • ✗ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

209
internal links
3
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
  • ✓ 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 43/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
43
Single-page score
-43
Severe hidden bloat
Δ delta
Site-Wide ACRI
0
Avg across 10 pages · Range 0–0
🔍
Hidden Bloat Detected

Homepage scores 43, but internal pages average only 0 — a -43-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
0
Avg Bloat
0.0×
Page Type ACRI Token Bloat Words Status
https://welovebudapest.com/pricing pricing 0 0.0× 0
https://welovebudapest.com/about about 0 0.0× 0
https://welovebudapest.com/features product 0 0.0× 0
https://welovebudapest.com/products product 0 0.0× 0
https://welovebudapest.com/docs docs 0 0.0× 0
https://welovebudapest.com/blog blog 0 0.0× 0
https://welovebudapest.com/case-studies social-proof 0 0.0× 0
https://welovebudapest.com/integrations integrations 0 0.0× 0
https://welovebudapest.com/faq support 0 0.0× 0
https://welovebudapest.com/contact support 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
/faq/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 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/welovebudapest.com

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
welovebudapest.com (this site) 43 48 Custom / Proprietary 2.7× 1
101jucarii.ro 68 76 Custom / Proprietary 2.2× 0 Compare →
spectrumcontrol.com 68 81 Custom / Proprietary 7.7× 1 Compare →
clutch-solution.com 68 79 Custom / Proprietary 5.4× 3 Compare →
stpete.org 68 79 Custom / Proprietary 7.4× 0 Compare →
clarinsgroup.com 68 74 Express 2.5× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite welovebudapest.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 welovebudapest.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": "Welovebudapest",
  "url": "https://welovebudapest.com",
  "logo": "https://welovebudapest.com/assets/images/favicons/apple-touch-icon.png",
  "sameAs": []
}
</script>
Allow GPTBot in robots.txt
High Impact ⏱ 2 min
GPTBot is blocked — your content cannot appear in ChatGPT citations. Add this to your robots.txt:
text
User-agent: GPTBot
Allow: /

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

Projected Impact

ROI EST.

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

Current Score
48
Projected Score
65
Improvement
+17 pts
Allow GPTBot +8 pts
Add Organization schema +6 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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