sportdepot.bg 67 C
🛡️ SEO 46 🤖 GEO 88 ⚡ Perf 52 🏗️ Arch 69

sportdepot.bg — Global SEODiff Score 67/100

sportdepot.bg
📊

sportdepot.bg has earned a 88/100 ACRI — a tier-1 result that puts it ahead of 99% of sites in the SEODiff Radar. Within the developer vertical, this places sportdepot.bg above the industry average of 57 —, suggesting strong competitive positioning in AI search. A ghost ratio of 15% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. The 7.2× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

67
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (46) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
Does your site score higher than sportdepot.bg?
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)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)88 × 0.40 = 35.2
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)69 × 0.15 = 10.3
Weighted sum = 11.5 + 35.2 + 10.4 + 10.3
Global SEODiff Score = 67 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
100
Structure
avg 35
44
Schema
avg 9
75
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #55444
Aligned
Gap
AI (ACRI)
Top 1%
Score 88/100

sportdepot.bg has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why sportdepot.bg ranks here

Tech stackCloudflare Pages
Industrydeveloper
RenderingHybrid
Schema coverage2 blocks
Token bloat7.2×

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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

130 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

214 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 32
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — SPORT DEPOT – Оригинални спортни стоки от топ марки | Nike, Adidas, Puma + много други
  • ✓ og:description — Открий спортни обувки, дрехи и аксесоари с редовни оферти и намаления. Онлайн пазаруване или в 25+ магазина в България.
  • ✗ 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

88/100 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 developer sector, hikkoshizamurai.jp (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 →
sportdepot.bg
77
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 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 15%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 402 elements (402 lists, 0 rows, 0 headers)
Total Words1125
Raw Density35.7%

🏷️ 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

78
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability78/100 — AI models can easily extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

13%
🗑️ 87%
Useful Content (31.2 KB)Bloat (193.5 KB)
Token Bloat Ratio7.2× — Normal

Multimodal Readiness

Visual Context93% Optimized for Vision
Image Alt Coverage82 / 88 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: 86.1% · SNR: 0.16 · Signal: 7977 / Noise: 49538 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 sportdepot.bg 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
The platform provides a collaborative sprint planning tool that leverages AI to optimize resource allocation and improve team productivity for distributed teams.
Target Audience
Engineering managers, product managers, scrum masters, and agile teams.
Pricing Model
Offers a free plan with limited features, and paid tiers ranging from $10 to $25 per user per month, based on team size and features.
🔗 Integration Partners
SlackGitHubJira
🛡️ Compliance Standards
SOC 2
🏆 Competitive Moat
AI-powered sprint planning with real-time resource optimization and predictive analytics, offering a more dynamic and efficient approach than traditional tools.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

AI-Readiness Score75/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time925 ms
Raw HTML Size224.7 KB
Visible Text Size31.2 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

925 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1996
DOM nodes
225 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 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

69/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

512
internal links
21
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 77/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for sportdepot.bg
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/sportdepot.bg" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=sportdepot.bg" 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 23 pages · Deep-10

Homepage ACRI
77
Single-page score
-67
Severe hidden bloat
Δ delta
Site-Wide ACRI
10
Avg across 23 pages · Range 0–69
🔍
Hidden Bloat Detected

Homepage scores 77, but internal pages average only 10 — a -67-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
12%
Topical Drift
TF-IDF cosine similarity
Total Words
6040
Avg Bloat
57.4×
Page Type ACRI Token Bloat Words Status
https://sportdepot.bg/products
Всичко от света на спорта
pricing 69 47.0× 5465 💰 Pricing
https://sportdepot.bg/contact
Контакти
pricing 62 100.6× 337 💰 Pricing
https://sportdepot.bg/careers
Кариери
pricing 62 141.7× 211 💰 Pricing
https://sportdepot.bg/faq
Помощ
pricing 42 1030.1× 27 💰 Pricing
https://sportdepot.bg/api docs 0 0.0× 0
https://sportdepot.bg/pricing pricing 0 0.0× 0
https://sportdepot.bg/guides blog 0 0.0× 0
https://sportdepot.bg/help support 0 0.0× 0
https://sportdepot.bg/about about 0 0.0× 0
https://sportdepot.bg/resources blog 0 0.0× 0
https://sportdepot.bg/solutions product 0 0.0× 0
https://sportdepot.bg/features product 0 0.0× 0
https://sportdepot.bg/blog blog 0 0.0× 0
https://sportdepot.bg/docs docs 0 0.0× 0
https://sportdepot.bg/case-studies social-proof 0 0.0× 0
https://sportdepot.bg/demo conversion 0 0.0× 0
https://sportdepot.bg/get-started conversion 0 0.0× 0
https://sportdepot.bg/support support 0 0.0× 0
https://sportdepot.bg/integrations integrations 0 0.0× 0
https://sportdepot.bg/security trust 0 0.0× 0
Showing 20 of 23 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
/careers/ 1 62 0% 141.7× High JS Bloat
/get-started/ 1 0 0% 0.0× Low AI Readiness
/api/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/terms/ 1 0 0% 0.0× Low AI Readiness
/trust/ 1 0 0% 0.0× Low AI Readiness
/demo/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/support/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/help/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 62 0% 100.5× High JS Bloat
/faq/ 1 42 0% 1030.2× High JS Bloat
/security/ 1 0 0% 0.0× Low AI Readiness
/resources/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 23 pages
tiktok.com ×4
instagram.com ×4
districtshoes.bg ×4
kzp.bg ×4
play.google.com ×4
youtube.com ×4
absolute-teamsport.bg ×4
apps.apple.com ×4
🔄 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/sportdepot.bg

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
sportdepot.bg (this site) 77 88 Cloudflare Pages 7.2× 2
lode777true.com 86 95 Cloudflare Pages 4.7× 1 Compare →
mecfw.com 84 88 Cloudflare Pages 4.8× 4 Compare →
graftonaestheticsspa.com 84 88 Cloudflare Pages 4.8× 4 Compare →
pharmkbs.com 84 89 Cloudflare Pages 4.8× 4 Compare →
stophiv.com 85 89 Cloudflare Pages 5.2× 4 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for sportdepot.bg:

Current Score
88
Projected Score
94
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
🔍 Found indexing issues?
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