ertsports.gr 57 D
🛡️ SEO 54 🤖 GEO 68 ⚡ Perf 27 🏗️ Arch 70

ertsports.gr — Global SEODiff Score 57/100

ertsports.gr
📊

ertsports.gr achieves a 78/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. Token bloat registers at 5.7× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

57
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (27) has the most room for improvement.
🎯 Top Fix: Add HSTS header → +2 pts
⚠️ Crawl Blocked: Fetch failed (network timeout / connection error)
🔬 Automated SEODiff Assessment · Snapshot: Mar 17, 2026 · 📋 API
📈 ACRI Trend 5 snapshots
Feb 24 Mar 17
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)54 × 0.25 = 13.5
🤖 AI Readiness / GEO (40% weight)68 × 0.40 = 27.2
⚡ Performance (20% weight)27 × 0.20 = 5.4
🏗️ Architecture & Trust (15% weight)70 × 0.15 = 10.5
Weighted sum = 13.5 + 27.2 + 5.4 + 10.5
Global SEODiff Score = 57 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
40
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 43%
Rank #426608
-30 pts
Gap
AI (ACRI)
Top 12%
Score 78/100

ertsports.gr ranks much higher on Google (Tranco Top 43%) than in AI search (Top 12%). 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 ertsports.gr ranks here

Tech stackWordPress
Industry
RenderingSSR
Schema coverage1 blocks
Token bloat5.7×

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…

⚠️ Crawl Failed: Anti-Bot Protection Detected

Fetch failed (network timeout / connection error)

The scores below may not reflect actual site quality. The crawler received a challenge page instead of real content.

🛡️

Traditional SEO

54/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

32 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 0
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — ΕΡΤ Sports - www.ertsports.gr
  • ✓ og:description — SUPER LEAGUE ΠΟΔΟΣΦΑΙΡΟ TRANSFERT NEWS ΜΠΑΣΚΕΤ ΒOΛΕΪ ΟΙ ΞΕΝΙΤΕΜΕΝΟΙ ΠΡΟΣΩΠΑ MAGAZINE ΣΥΝΕΝΤΕΥΞΕΙΣ ΡΕΤΡΟ WALLPAPERT ΕΡΑ ΣΠΟΡ
  • ✗ 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

68/100 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.

🚨

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 40/100 — Fair
Structured Elements 117 elements (117 lists, 0 rows, 0 headers)
Total Words2489
Raw Density4.7%

🏷️ 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

65
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability65/100 — AI models can partially 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

17%
🗑️ 83%
Useful Content (58.9 KB)Bloat (278.7 KB)
Token Bloat Ratio5.7× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage5 / 5 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: 82.5% · SNR: 0.21 · Signal: 15088 / Noise: 71353 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 ertsports.gr 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
ERTSports provides live streaming and on-demand video content for sports events.
Target Audience
Sports enthusiasts, viewers seeking live sports broadcasts.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
SEMANTIC VOID
📊 Content Depth
1/10
Analyzed by SEODiff AI · 2026-03-20

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx/1.22.1
CDN
HTTP Status200
Load Time2894 ms
Raw HTML Size337.7 KB
Visible Text Size58.9 KB

Performance & Speed

27/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2894 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

2056
DOM nodes
338 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=30, must-revalidate
  • ✗ 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

70/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

386
internal links
18
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 → el
  • ✓ 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 is currently blocking AI crawlers. Unblock them and rescan to earn your AI-Verified badge.

AI-Verified badge for ertsports.gr
Unverified — crawl access is blocked
<a href="https://seodiff.io/radar/domains/ertsports.gr" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=ertsports.gr" 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.

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
ertsports.gr (this site) 35 78 WordPress 5.7× 1
igo-bokep.beauty 45 70 WordPress 11.9× 1 Compare →
epha.org 45 71 WordPress 38.6× 1 Compare →
thebellsofpeover.com 45 72 WordPress 33.5× 1 Compare →
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Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for ertsports.gr:

Current Score
78
Projected Score
84
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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