welovetennis.fr 69 C
🛡️ SEO 72 🤖 GEO 62 ⚡ Perf 59 🏗️ Arch 93

welovetennis.fr — Global SEODiff Score 69/100

welovetennis.fr
📊

welovetennis.fr shows strong AI visibility with an ACRI of 74/100, outperforming 78% of indexed domains. Within the infrastructure vertical, this places welovetennis.fr above the industry average of 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. A 33.7× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (59) is your bottleneck.
🎯 Top Fix: Reduce token bloat (34×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 18 snapshots
Feb 22 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 10 Content change detected
Does your site score higher than welovetennis.fr?
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)72 × 0.25 = 18.0
🤖 AI Readiness / GEO (40% weight)62 × 0.40 = 24.8
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 18.0 + 24.8 + 11.8 + 13.9
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
21
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 8%
Rank #78306
+15 pts
Gap
AI (ACRI)
Top 22%
Score 74/100

welovetennis.fr shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why welovetennis.fr ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat33.7×

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…
🛡️

Traditional SEO

72/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

72 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

67 chars
Too short

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.welovetennis.fr/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → fr-FR
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — We ♥ Tennis - Tous les tournois de tennis en temps réel - ATP, WTA...
  • ✓ og:description — Toute l'actualité de l'ensemble des tournois de tennis ATP et WTA.
  • ✓ 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

62/100 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 →
welovetennis.fr
50
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 21/100 — Low
Structured Elements 23 elements (23 lists, 0 rows, 0 headers)
Total Words1691
Raw Density1.4%
💡Low structure score (21/100). 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 ✅ 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

45
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability45/100 — AI models can partially extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

2%
🗑️ 98%
Useful Content (10.8 KB)Bloat (354.9 KB)
Token Bloat Ratio33.7× — Bloated

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage3 / 3 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 365.8 KB, but only 10.8 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (33.7×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 97.0% · SNR: 0.03 · Signal: 2776 / Noise: 90859 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 welovetennis.fr 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
A SaaS platform that helps engineering teams plan sprints, allocate resources, and improve productivity by leveraging AI-powered sprint planning and real-time resource optimization.
Target Audience
Engineering managers, product managers, CTOs, and agile team leads.
Pricing Model
Tiered subscription model: Free plan with limited features, then paid plans starting at $10/user/month, with increasing functionality and user limits.
🔗 Integration Partners
SlackGitHubJira
🛡️ Compliance Standards
SOC 2
🏆 Competitive Moat
AI-powered sprint planning with real-time resource optimization and predictive analytics, providing a significant advantage over traditional planning 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 · 2026-03-04

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time596 ms
Raw HTML Size365.8 KB
Visible Text Size10.8 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

596 ms
Acceptable — room for improvement

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

📦 Page Weight

1130
DOM nodes
366 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=30, stale-if-error=864000, stale-while-revalidate=300
  • ✓ CDN cache status → HIT
  • ✓ CDN detected → cloudflare

🔬 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.welovetennis.fr/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

192
internal links
10
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 → fr-FR
  • ✓ 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 50/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for welovetennis.fr
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/welovetennis.fr" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=welovetennis.fr" 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 42 pages · Deep-10

Homepage ACRI
50
Single-page score
+6
Consistent readability
Δ delta
Site-Wide ACRI
57
Avg across 42 pages · Range 0–74
Topical Cohesion
8%
Topical Drift
TF-IDF cosine similarity
Total Words
34869
Avg Bloat
55.6×
Page Type ACRI Token Bloat Words Status
https://www.welovetennis.fr/interviews/hommage-thomas-muster-oui-jai-peur-pour-nadal
Interviews > Hommage > Thomas Muster : « Oui, j'ai peur pour Nadal » - We Love Tennis
pricing 74 17.6× 2982 💰 Pricing
https://www.welovetennis.fr/actu/marion-bartoli-quand-je-vois-mes-anciens-detracteurs-se-jeter-sur-mon-pere-comme-si-cetait-dieu-ca-me-fait-bien-rire
Actualité > Marion Bartoli: "Quand je vois mes anciens détracteurs se jeter sur mon père comme si c'était Dieu, ça me fait bien rire" - We Love Tennis
pricing 69 24.1× 2154 💰 Pricing
https://www.welovetennis.fr/interviews/gustavo-kuerten-cest-une-chance-de-pouvoir-jouer-encore-une-fois
Interviews > Gustavo Kuerten: C'est une chance de pouvoir jouer encore une fois - We Love Tennis
pricing 69 24.9× 2054 💰 Pricing
https://www.welovetennis.fr/wta/wta-sydney/dementieva-surclasse-azarenka
WTA - Sydney > Dementieva surclasse Azarenka - We Love Tennis
pricing 66 93.1× 521 💰 Pricing
https://www.welovetennis.fr/atp/atp-auckland/clement-se-qualifie-pour-les-demis
ATP - Auckland > Clément se qualifie pour les demis - We Love Tennis
pricing 66 86.7× 561 💰 Pricing
https://www.welovetennis.fr/atp-wta/atp-wta-sydney/safina-mon-jeu-est-la
ATP/WTA Sydney > Safina : "Mon jeu est là" - We Love Tennis
pricing 66 89.7× 538 💰 Pricing
https://www.welovetennis.fr/wta/wta-sydney/serena-je-nai-pas-joue-mon-meilleur-tennis
WTA - Sydney > Serena : "Je n'ai pas joué mon meilleur tenni" - We Love Tennis
pricing 66 87.5× 558 💰 Pricing
https://www.welovetennis.fr/atp-wta/atp-wta-sydney/hewitt-se-souvient
ATP/WTA Sydney > Hewitt se souvient... - We Love Tennis
pricing 66 87.0× 554 💰 Pricing
https://www.welovetennis.fr/archives/tsonga-elimine-2
Archives > Tsonga éliminé - We Love Tennis
pricing 66 83.7× 581 💰 Pricing
https://www.welovetennis.fr/archives/tsonga-elimine
Archives > Tsonga éliminé - We Love Tennis
pricing 66 83.7× 581 💰 Pricing
https://www.welovetennis.fr/atp-wta/atp-wta-sydney/hewitt-un-joueur-classe
ATP/WTA Sydney > Hewitt: "Un joueur classe" - We Love Tennis
pricing 66 92.2× 523 💰 Pricing
https://www.welovetennis.fr/atp/paul-henri-mathieu-il-me-manque-un-tres-gros-resultat-2
ATP > Paul Henri Mathieu : "Il me manque un très gros résultat" - We Love Tennis
pricing 66 49.2× 1015 💰 Pricing
https://www.welovetennis.fr/interviews/le-questionnaire-de-proust-pour-patrick-mouratoglou
Interviews > Le questionnaire de Proust pour Patrick Mouratoglou - We Love Tennis
pricing 66 65.6× 747 💰 Pricing
https://www.welovetennis.fr/interviews/kristof-vliegen-en-belgique-on-est-pas-habitue-a-avoir-des-idoles
Interviews > Kristof Vliegen: "En Belgique, on est pas habitué à avoir des idole" - We Love Tennis
pricing 66 47.9× 1042 💰 Pricing
https://www.welovetennis.fr/interviews/nicole-vaidisova-je-pense-que-je-vais-jouer-jusqua-25-ans
Interviews > Nicole Vaidisova : « Je pense que je vais jouer jusqu'à 25 ans » - We Love Tennis
pricing 66 47.6× 1047 💰 Pricing
https://www.welovetennis.fr/atp/andy-roddick-ladrenaline-est-toujours-en-moi-meme-pendant-une-partie-de-scrabble
ATP > Andy Roddick : "L'adrénaline est toujours en moi, même pendant une partie de scrabble" - We Love Tennis
pricing 66 51.6× 972 💰 Pricing
https://www.welovetennis.fr/actu/gianni-clerici-on-acheve-bien-les-chevaux
Actualité > Gianni Clerici: " On achève bien les chevaux " - We Love Tennis
pricing 66 47.0× 1055 💰 Pricing
https://www.welovetennis.fr/actu/patrick-labazuy
Actualité > Patrick Labazuy - We Love Tennis
pricing 66 26.1× 1941 💰 Pricing
https://www.welovetennis.fr/coupe-davis/guerre-de-sms-chez-les-iberiques
Coupe Davis > Guerre de SMS chez les Ibériques - We Love Tennis
pricing 66 55.4× 893 💰 Pricing
https://www.welovetennis.fr/actu/thierry-ascione-ce-nest-plus-une-question-dorgueil-mais-une-question-de-croute
Actualité > Thierry Ascione: « Ce n'est plus une question d'orgueil mais une question de croûte » - We Love Tennis
pricing 66 36.6× 1379 💰 Pricing
Showing 20 of 42 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
/atp/ 7 66 1% 70.0× Bot Blocked
/actu/ 6 66 1% 33.5× Bot Blocked
/atp-wta/ 6 66 1% 89.3× Bot Blocked
/interviews/ 5 68 1% 40.7× Bot Blocked
/wta/ 4 66 1% 78.8× Bot Blocked
/le-blog-de-la-redac/ 2 66 1% 64.5× Bot Blocked
/archives/ 2 66 1% 83.7× Bot Blocked
/kooyong/ 2 66 1% 95.4× Bot Blocked
/docs/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 61 1% 47.3× Bot Blocked
/features/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/coupe-davis/ 1 66 1% 55.4× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/welovetennis.fr

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📊 Semantic Share of Voice

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

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 2% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
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 Welovetennis?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Welovetennis does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Welovetennis work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Welovetennis."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for welovetennis.fr:

Current Score
74
Projected Score
82
Improvement
+8 pts
Reduce token bloat +5 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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