epreselec.com 69 C
🛡️ SEO 75 🤖 GEO 61 ⚡ Perf 74 🏗️ Arch 75

epreselec.com — Global SEODiff Score 69/100

epreselec.com
📊

The AI-Readiness profile for epreselec.com is strong: an ACRI of 77/100 places it ahead of 86% of domains in the index. Compared to other infrastructure sites (avg score: 57), epreselec.com performs above the benchmark, 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. The bloated 23.5× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but AI Readiness (61) is your bottleneck.
🎯 Top Fix: Reduce token bloat (24×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 22 snapshots
Feb 22 Mar 21
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than epreselec.com?
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)75 × 0.25 = 18.8
🤖 AI Readiness / GEO (40% weight)61 × 0.40 = 24.4
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)75 × 0.15 = 11.2
Weighted sum = 18.8 + 24.4 + 14.8 + 11.2
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
38
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #31416
+11 pts
Gap
AI (ACRI)
Top 14%
Score 77/100

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

Why epreselec.com ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat23.5×

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

75/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

59 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

152 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 3
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — ePreselec: Gestor de Procesos de Selección y Reclutamiento
  • ✓ og:description — Sistema de reclutamiento (applicant tracking system) para agilizar y centralizar los procesos de selección. Herramienta para la gestión de candidatos.
  • ✗ 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

61/100 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 →
epreselec.com
48
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 38/100 — Low
Structured Elements 14 elements (14 lists, 0 rows, 0 headers)
Total Words322
Raw Density4.3%
💡Low structure score (38/100). Your content appears as a wall of text with few structured HTML elements. You have 14 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

51
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability51/100 — AI models can partially extract answers from this page
Crawl CostMedium (40/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

4%
🗑️ 96%
Useful Content (3.9 KB)Bloat (86.8 KB)
Token Bloat Ratio23.5× — Heavy

Multimodal Readiness

Visual Context71% Optimized for Vision
Image Alt Coverage15 / 21 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 90.7 KB, but only 3.9 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (23.5×) 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: 95.8% · SNR: 0.04 · Signal: 985 / Noise: 22221 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 epreselec.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 SaaS platform streamlines recruitment processes by providing a comprehensive applicant tracking system (ATS) and candidate management tools, enabling recruiters
Target Audience
Recruiters, HR managers, talent acquisition specialists
Pricing Model
Not specified - likely subscription-based with tiered pricing based on features and user count.
🔗 Integration Partners
JobisJobFotocasahabitacliaCoches.netMotos.netMilanuncios
🛡️ Compliance Standards
GDPR
🏆 Competitive Moat
Integration with major real estate and automotive platforms provides a strong network effect and targeted reach for recruitment efforts.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of specific SEO guidance provided in the text.
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerPagely-ARES/1.22.2
CDN
HTTP Status200
Load Time690 ms
Raw HTML Size90.7 KB
Visible Text Size3.9 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

690 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

379
DOM nodes
91 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

2
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

75/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

31
internal links
15
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 → es
  • ✓ 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 48/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for epreselec.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/epreselec.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=epreselec.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 21 pages · Deep-10

Homepage ACRI
48
Single-page score
-22
Severe hidden bloat
Δ delta
Site-Wide ACRI
27
Avg across 21 pages · Range 0–72
🔍
Hidden Bloat Detected

Homepage scores 48, but internal pages average only 27 — a -22-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
3855
Avg Bloat
124.6×
Page Type ACRI Token Bloat Words Status
https://epreselec.com/politica-de-cookies/
Política de cookies - ePreselec
pricing 72 14.5× 1235 💰 Pricing
https://epreselec.com/proteccion-de-datos-adicional/
Protección de datos adicional - ePreselec
pricing 67 20.1× 807 💰 Pricing
https://epreselec.com/caracteristicas/
Características del Sistema de Reclutamiento ePreselec
pricing 67 23.2× 818 💰 Pricing
https://epreselec.com/gestor-de-procesos-de-seleccion/
Gestor de Procesos de Selección – ApplicantTracking System
pricing 54 40.8× 387 💰 Pricing
https://epreselec.com/nosotros/
Nosotros - ePreselec
pricing 54 66.0× 232 💰 Pricing
https://epreselec.com/proteccion-de-datos/
Protección de datos - ePreselec
pricing 44 124.8× 120 💰 Pricing
https://epreselec.com/esquema-nacional-de-seguridad/
Esquema Nacional de Seguridad - ePreselec
pricing 44 172.9× 86 💰 Pricing
https://epreselec.com/inicio/home-desktop-dkv/
home-desktop-dkv - ePreselec
pricing 34 423.9× 34 💰 Pricing
https://epreselec.com/inicio/home-desktop-eroski/
home-desktop-eroski - ePreselec
pricing 31 432.4× 34 💰 Pricing
https://epreselec.com/contacto/epreselec-marker/
epreselec-marker - ePreselec
pricing 31 431.7× 34 💰 Pricing
https://epreselec.com/inicio/home-desktop-ikea/
home-desktop-ikea - ePreselec
pricing 31 432.1× 34 💰 Pricing
https://epreselec.com/esquema-nacional-de-seguridad/ens-certificate_o-247x300/
ENS-certificate_o-247x300 - ePreselec
pricing 31 434.8× 34 💰 Pricing
https://epreselec.com/pricing pricing 0 0.0× 0
https://epreselec.com/about about 0 0.0× 0
https://epreselec.com/features product 0 0.0× 0
https://epreselec.com/products product 0 0.0× 0
https://epreselec.com/docs docs 0 0.0× 0
https://epreselec.com/blog blog 0 0.0× 0
https://epreselec.com/case-studies social-proof 0 0.0× 0
https://epreselec.com/faq support 0 0.0× 0
Showing 20 of 21 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
/inicio/ 3 32 1% 429.5× Bot Blocked
/esquema-nacional-de-seguridad/ 2 38 0% 303.8× Bot Blocked
/nosotros/ 1 54 0% 66.0× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/proteccion-de-datos-adicional/ 1 67 0% 20.1× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/caracteristicas/ 1 67 0% 23.2× High JS Bloat
/gestor-de-procesos-de-seleccion/ 1 54 0% 40.8× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/politica-de-cookies/ 1 72 0% 14.6× High JS Bloat
/proteccion-de-datos/ 1 44 0% 124.8× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 21 pages
twitter.com ×12
recursos-humanos.infojobs.net ×12
coches.net ×12
plus.google.com ×12
infojobs.net ×12
motos.coches.net ×12
youtube.com ×12
facebook.com ×12
🔄 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/epreselec.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 epreselec.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
epreselec.com (this site) 48 77 WordPress 23.5× 1
bikeeastbay.org 73 89 WordPress 18.2× 1 Compare →
ymcacf.org 73 86 WordPress 9.1× 1 Compare →
mans-other-face.musicc.ir 73 85 WordPress 8.8× 1 Compare →
civilandhumanrights.org 73 86 WordPress 13.7× 4 Compare →
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Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite epreselec.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 epreselec.com. 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 4% 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 Epreselec?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Epreselec does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Epreselec work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Epreselec."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
77
Projected Score
85
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
🔍 Found indexing issues?
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