tec.mx 74 B
🛡️ SEO 67 🤖 GEO 83 ⚡ Perf 47 🏗️ Arch 100

tec.mx — Global SEODiff Score 74/100

tec.mx
📊

With a solid 79/100 ACRI, tec.mx is well-positioned for AI search — better than 91% of sites in the Radar. Compared to other education sites (avg score: 57), tec.mx 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. Token bloat registers at 8.4× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

74
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 19, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 3 Mar 19
🔔 Recent AI Indexing Activity
🔄 Mar 19 Content change detected
🔄 Mar 14 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)67 × 0.25 = 16.8
🤖 AI Readiness / GEO (40% weight)83 × 0.40 = 33.2
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 16.8 + 33.2 + 9.4 + 15.0
Global SEODiff Score = 74 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
53
Structure
avg 35
42
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #27272
+7 pts
Gap
AI (ACRI)
Top 9%
Score 79/100

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

Why tec.mx ranks here

Tech stackDrupal
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat8.4×

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

67/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

34 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

155 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✓ Canonical tag present → https://tec.mx/es
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → es
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✓ og:image — preview
  • ✗ 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

83/100 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 education sector, melbourneschool.com (ACRI: 86) 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 →
tec.mx
63
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. melbourneschool.com has schema coverage of 4 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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 53/100 — Fair
Structured Elements 87 elements (87 lists, 0 rows, 0 headers)
Total Words1040
Raw Density8.4%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 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

63
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability63/100 — 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

11%
🗑️ 89%
Useful Content (25.8 KB)Bloat (190.8 KB)
Token Bloat Ratio8.4× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage40 / 40 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: 88.1% · SNR: 0.14 · Signal: 6594 / Noise: 48843 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 tec.mx 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
Borregos Athletics is a high-performance athletic program affiliated with Tecnológico de Monterrey, focusing on developing student-athletes across a wide range
Target Audience
Student-athletes, coaches, athletic administrators, university staff, prospective students, alumni, and parents of student-athletes.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Extensive historical data on student-athlete success, strong ties to Tecnológico de Monterrey, and a comprehensive program encompassing various sports and levels of competition.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Athlete name lists with event, venue, and yearSports categories (e.g., Athletics, Voleibol, Natación)Event listings (e.g., Juegos Olímpicos, Juegos Panamericanos)
⚡ Key Pain Points
• Limited SEO optimization for athlete profiles and event listings
• Lack of structured data for athletic achievements
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
Servernginx
CDN
HTTP Status200
Load Time1369 ms
Raw HTML Size216.6 KB
Visible Text Size25.8 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1369 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1450
DOM nodes
217 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=86400, public
  • ✗ 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://tec.mx/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

129
internal links
12
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 63/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for tec.mx
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/tec.mx" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=tec.mx" 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 109 pages · Deep-10

Homepage ACRI
63
Single-page score
-8
Moderate hidden bloat
Δ delta
Site-Wide ACRI
56
Avg across 109 pages · Range 0–85
Topical Cohesion
4%
Topical Drift
TF-IDF cosine similarity
Total Words
83823
Avg Bloat
67.2×
Page Type ACRI Token Bloat Words Status
https://tec.mx/es/r4c-irg
R4C-IRG y TE | Tecnológico de Monterrey
pricing 85 8.3× 7197 💰 Pricing
https://tec.mx/es/soi-stem
SOI-STEM | Tecnológico de Monterrey
pricing 75 10.7× 5664 💰 Pricing
https://tec.mx/es/admisiones-y-becas/terminos-condiciones
Términos y Condiciones | Tecnológico de Monterrey
other 75 13.3× 2694
https://tec.mx/es/tycugo
Términos y condiciones de uso de UGO | Tecnológico de Monterrey
pricing 72 14.3× 2484 💰 Pricing
https://tec.mx/es/tycnovustriada
Términos y condiciones Novus Triada | Tecnológico de Monterrey
pricing 72 16.4× 2115 💰 Pricing
https://tec.mx/es/borregos/about
Borregos Athletics | Tecnológico de Monterrey
pricing 67 22.9× 2736 💰 Pricing
https://tec.mx/es/aviso-privacidad-plan-retiro
Aviso de Privacidad para Plan de Retiro | Tecnológico de Monterrey
pricing 67 28.7× 1177 💰 Pricing
https://tec.mx/es/aviso-privacidad-ugo
Aviso de Privacidad UGO | Tecnológico de Monterrey
other 67 21.1× 1627
https://tec.mx/es/aviso-privacidad-observatorio-innovacion-educativa
Aviso de Privacidad Observatorio de Innovación Educativa | Tecnológico de Monterrey
other 67 20.8× 1665
https://tec.mx/es/profesores/unete
Únete a Nuestra Facultad | Tecnológico de Monterrey
pricing 67 29.4× 1331 💰 Pricing
https://tec.mx/es/venues/monterrey
Venues Monterrey | Tecnológico de Monterrey
pricing 67 30.8× 2084 💰 Pricing
https://tec.mx/es/florecimiento-humano/desarrollo-sostenible/rise
Convocatoria RISE | Tecnológico de Monterrey
pricing 67 22.8× 1956 💰 Pricing
https://tec.mx/es/becas/becas-campus-monterrey
Becas Campus Monterrey | Tecnológico de Monterrey
other 67 29.1× 1414
https://tec.mx/es/aviso-privacidad-premio-mujer-tec
Aviso de Privacidad Premio Mujer Tec | Tecnológico de Monterrey
pricing 67 23.8× 1441 💰 Pricing
https://tec.mx/es/profesores/ehe/mariana-gabarrot
Mariana Gabarrot - Faculty | Tecnológico de Monterrey
other 64 58.0× 611
https://tec.mx/es/profesores/ehe/katherina-cordova
Katherina Edith Gallardo Córdova - Faculty | Tecnológico de Monterrey
other 64 67.9× 522
https://tec.mx/es/dignidad-humana/impulsa
Impulsa | Tecnológico de Monterrey
pricing 64 66.9× 570 💰 Pricing
https://tec.mx/es/borregos/toluca
Borregos Toluca | Tecnológico de Monterrey
pricing 64 40.4× 1480 💰 Pricing
https://tec.mx/es/conocenos/mas-sobre-la-institucion
Más sobre la institución | Tecnológico de Monterrey
pricing 64 39.0× 1105 💰 Pricing
https://tec.mx/es/profesores/faculty-of-excellence
Faculty of Excellence | Tecnológico de Monterrey
other 64 55.6× 866
Showing 20 of 100 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
/es/ 99 61 0% 71.8× High JS Bloat
/about/ 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
/integrations/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 44 0% 214.4× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 109 pages
apru.org ×100
mitec.tec.mx ×100
cinda.cl ×100
jobs.tec.mx ×100
magalhaes-network.org ×100
maestriasydiplomados.tec.mx ×100
instagram.com ×100
market.tec.mx ×100
🔄 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/tec.mx

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

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

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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for tec.mx:

Current Score
79
Projected Score
85
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
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