gymlovers.es 61 C
🛡️ SEO 38 🤖 GEO 67 ⚡ Perf 80 🏗️ Arch 55

gymlovers.es — Global SEODiff Score 61/100

gymlovers.es
📊

With a 64/100 ACRI, gymlovers.es has a moderate AI visibility profile — functional but not yet optimized for AI crawlers. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. Token bloat registers at 6.0× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (38) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 15
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than gymlovers.es?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)38 × 0.25 = 9.5
🤖 AI Readiness / GEO (40% weight)67 × 0.40 = 26.8
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)55 × 0.15 = 8.2
Weighted sum = 9.5 + 26.8 + 16.0 + 8.2
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
0
Structure
avg 35
0
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #631645
-16 pts
Gap
AI (ACRI)
Top 47%
Score 64/100

gymlovers.es ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 47%). 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 gymlovers.es ranks here

Tech stackWordPress
Industry
RenderingSSR
Schema coverage0 blocks
Token bloat6.0×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

38/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

12 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

30 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
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → de
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Gymlovers.es
  • ✓ og:description — Nuestra plataforma se encuentra actualmente en fase de desarrollo. Estamos creando un portal moderno dedicado a gimnasios, entrenamiento, salud y actividades deportivas. El objetivo es construir un directorio completo que permita a los usuarios encontrar rápida y fácilmente opciones de entrenamiento adecuadas — de forma local, clara y con información real en lugar de listados superficiales. En el futuro, GymLovers será mucho más que un simple directorio empresarial. Además de la búsqueda de gimnasios, se está desarrollando una amplia sección de conocimiento con artículos, guías de entrenamiento, planes, fundamentos y un wiki estructurado sobre entrenamiento, salud y ciencias del deporte. Qué estamos construyendo La nueva plataforma estará organizada en tres áreas principales: Directorio de gimnasios Un catálogo estructurado con gimnasios, centros de entrenamiento e instalaciones deportivas de numerosas ciudades. Los usuarios podrán comparar opciones, consultar información y decidir con mayor rapidez qué centro se adapta mejor a sus objetivos. Revista y guías Un espacio editorial con artículos claros y útiles sobre entrenamiento, ejercicios, planes, salud, motivación y conocimientos deportivos — tanto para principiantes como para personas con experiencia. Wiki fitness Una sección de consulta con conceptos explicados de forma sencilla, métodos de entrenamiento y conocimientos básicos presentados de manera clara, precisa y comprensible. Para quién está pensada la plataforma GymLovers está diseñado para dos grupos principales: Personas interesadas en el deporte •    encuentran gimnasios cercanos •    comparan servicios y características •    aprenden fundamentos del entrenamiento de forma clara Centros deportivos y gimnasios •    obtienen una presencia profesional en internet •    pueden ser encontrados por nuevos clientes •    muestran sus servicios y ventajas Por qué el relanzamiento requiere tiempo Estamos reconstruyendo el proyecto desde cero, tanto a nivel técnico como de contenido. Damos prioridad a: •    estructura limpia •    velocidad de carga alta •    navegación clara •    contenidos de calidad •    optimización móvil •    arquitectura preparada para buscadores En lugar de lanzar rápidamente una versión incompleta, apostamos por calidad, estabilidad y utilidad a largo plazo. Qué cambiará respecto a la versión anterior La nueva plataforma será: •    más moderna y clara •    mucho más completa en contenidos •    técnicamente más rápida y estable •    mejor estructurada para usuarios y buscadores •    enfocada en valor real para el visitante Nuestro enfoque se basa en relevancia, utilidad y claridad — no en páginas vacías ni listados sin contenido. Funciones previstas Tras el lanzamiento estarán disponibles, entre otras: •    búsqueda de gimnasios por ciudad y región •    perfiles de centros estructurados •    opciones de comparación •    guías de entrenamiento •    biblioteca de ejercicios •    conocimientos básicos sobre fitness •    publicación periódica de nuevos artículos ¿Cuándo estará disponible? El desarrollo ya está en marcha. En cuanto la nueva versión esté lista, esta página mostrará automáticamente la plataforma completa. Aviso para visitantes Si estás buscando un gimnasio, información sobre entrenamiento o planes para empezar, merece la pena volver pronto. La nueva versión será mucho más completa, útil e informativa.     GymLovers volverá muy pronto — más moderno, más claro y más útil que antes. Información adicional sobre contenidos previstos El nuevo directorio incluirá páginas informativas y comparativas sobre gimnasios en numerosas ciudades, por ejemplo: Ourense, Lugo, Palencia, Badajoz, Huelva, Lleida, Almería, Gijón, Logroño, Elche, Tarragona, Oviedo, Albacete, Santander, A Coruña, Cádiz, Castellón, Segovia y Vitoria, además de resultados de búsqueda habituales como gimnasio cerca o gimnasio cercano. También se prepararán contenidos informativos sobre centros y cadenas deportivas frecuentemente consultadas, como Synergym (Jaén, Girona, Lugo, Burgos, Los Guindos), Forus (incluyendo centros como Elche o Málaga Conde de Guadalhorce), Altafit Lugo, Basic Fit Santutxu, Atlas Vitoria, Duin Marisma, Kronos o Urtzi, entre otros. Estos contenidos se publicarán progresivamente tras el lanzamiento y se revisarán para garantizar información clara, útil y actualizada.    
  • ✗ 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

67/100 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 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words642
Raw Density0.0%
💡Low structure score (0/100). Your content appears as a wall of text with few structured HTML elements. You have 0 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 Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

42
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability42/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

16%
🗑️ 84%
Useful Content (5.1 KB)Bloat (25.3 KB)
Token Bloat Ratio6.0× — Normal

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 1 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 0% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 83.3% · SNR: 0.20 · Signal: 1296 / Noise: 6473 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…

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerApache
CDN
HTTP Status200
Load Time692 ms
Raw HTML Size30.3 KB
Visible Text Size5.1 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

692 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

256
DOM nodes
30 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache, must-revalidate, max-age=0, no-store, private
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 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

55/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://gymlovers.es/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

1
internal links
0
external links
Very few internal links — crawlers may miss important pages

🔒 Security & Trust

  • ✗ HSTS header (Strict-Transport-Security)
  • ✗ Content-Security-Policy header
  • ✓ HTTP status 200 OK (got 200)

♿ Accessibility Signals

  • ✓ HTML lang attribute → de
  • ✓ 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 33/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for gymlovers.es
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/gymlovers.es" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=gymlovers.es" 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
33
Single-page score
-33
Severe hidden bloat
Δ delta
Site-Wide ACRI
0
Avg across 10 pages · Range 0–0
🔍
Hidden Bloat Detected

Homepage scores 33, but internal pages average only 0 — a -33-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://gymlovers.es/pricing pricing 0 0.0× 0
https://gymlovers.es/about about 0 0.0× 0
https://gymlovers.es/products product 0 0.0× 0
https://gymlovers.es/features product 0 0.0× 0
https://gymlovers.es/blog blog 0 0.0× 0
https://gymlovers.es/docs docs 0 0.0× 0
https://gymlovers.es/case-studies social-proof 0 0.0× 0
https://gymlovers.es/contact support 0 0.0× 0
https://gymlovers.es/faq support 0 0.0× 0
https://gymlovers.es/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
/products/ 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
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 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
/docs/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 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/gymlovers.es

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

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
gymlovers.es (this site) 33 64 WordPress 6.0× 0
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📊 Semantic Share of Voice

How often would an AI cite gymlovers.es 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 gymlovers.es. 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": "Gymlovers",
  "url": "https://gymlovers.es",
  "logo": "https://gymlovers.es/logo.png",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Gymlovers",
  "url": "https://gymlovers.es",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://gymlovers.es/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Gymlovers?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Gymlovers does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Gymlovers work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Gymlovers."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for gymlovers.es:

Current Score
64
Projected Score
80
Improvement
+16 pts
Add Organization schema +6 pts
Add WebSite schema +4 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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