baseballamerica.com 62 C
🛡️ SEO 42 🤖 GEO 74 ⚡ Perf 52 🏗️ Arch 78

baseballamerica.com — Global SEODiff Score 62/100

baseballamerica.com
📊

baseballamerica.com shows strong AI visibility with an ACRI of 75/100, outperforming 81% of indexed domains. Within the infrastructure vertical, this places baseballamerica.com above the industry average of 57 —, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. The 9.9× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. 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.

62
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (42) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 8 Mar 21
🔔 Recent AI Indexing Activity
📈 Mar 21 ACRI +1 (52→53)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)42 × 0.25 = 10.5
🤖 AI Readiness / GEO (40% weight)74 × 0.40 = 29.6
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)78 × 0.15 = 11.7
Weighted sum = 10.5 + 29.6 + 10.4 + 11.7
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
27
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #33631
+16 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

baseballamerica.com punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →

Why baseballamerica.com ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat9.9×

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

42/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

16 chars
Too short

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 22
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.baseballamerica.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Baseball America
  • ✗ og:description
  • ✗ 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

74/100 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 →
baseballamerica.com
53
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 27/100 — Low
Structured Elements 88 elements (88 lists, 0 rows, 0 headers)
Total Words4144
Raw Density2.1%
💡Low structure score (27/100). Your content appears as a wall of text with few structured HTML elements. You have 88 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

54
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability54/100 — 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

10%
🗑️ 90%
Useful Content (40.6 KB)Bloat (360.0 KB)
Token Bloat Ratio9.9× — Normal

Multimodal Readiness

Visual Context11% Optimized for Vision
Image Alt Coverage12 / 114 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 11% 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: 89.9% · SNR: 0.11 · Signal: 10399 / Noise: 92153 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 baseballamerica.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
The product provides a platform for MLB prospect analysis and rankings, utilizing statistical data and scouting reports to evaluate young baseball players.
Target Audience
Baseball scouts, fantasy baseball players, MLB general managers, and fans interested in tracking MLB prospects.
Pricing Model
Subscription-based model with varying tiers offering access to detailed prospect rankings, analysis, and data.
🏆 Competitive Moat
Proprietary prospect evaluation methodology combining statistical analysis with extensive scouting reports, providing a deeper and more nuanced assessment of young players than competitors.
📊 Content Depth
9/10
🔄 Programmatic SEO Signals
Template comparison pagesIntegration directory pages
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time537 ms
Raw HTML Size400.6 KB
Visible Text Size40.6 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

537 ms
Acceptable — room for improvement

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

📦 Page Weight

2401
DOM nodes
401 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=900
  • ✗ 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

78/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.baseballamerica.com/wp-sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

356
internal links
22
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 → en-US
  • ✓ 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 53/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for baseballamerica.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/baseballamerica.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=baseballamerica.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 98 pages · Deep-10

Homepage ACRI
53
Single-page score
+6
Consistent readability
Δ delta
Site-Wide ACRI
60
Avg across 98 pages · Range 0–85
Topical Cohesion
14%
Topical Drift
TF-IDF cosine similarity
Total Words
139393
Avg Bloat
37.6×
Page Type ACRI Token Bloat Words Status
https://www.baseballamerica.com/stories/2018-top-100-mlb-prospects-chat/
2018 Top 100 MLB Prospects Chat
pricing 85 5.5× 10569 💰 Pricing
https://www.baseballamerica.com/stories/2018-houston-astros-top-10-prospects/
2018 Houston Astros Top 10 Prospects
pricing 75 10.8× 3861 💰 Pricing
https://www.baseballamerica.com/stories/2018-organization-talent-rankings-with-reports/
2018 Organization Talent Rankings With Reports
pricing 75 10.6× 3773 💰 Pricing
https://www.baseballamerica.com/stories/2018-seattle-mariners-top-10-prospects-chat/
2018 Seattle Mariners Top 10 Prospects Chat
other 75 10.0× 5192
https://www.baseballamerica.com/stories/2018-seattle-mariners-top-10-prospects/
2018 Seattle Mariners Top 10 Prospects
pricing 72 14.4× 3797 💰 Pricing
https://www.baseballamerica.com/stories/2018-college-baseball-preseason-all-america-teams/
2018 College Baseball Preseason All-America Teams
about 72 14.9× 3455
https://www.baseballamerica.com/stories/2018-oakland-athletics-top-10-prospects-chat/
2018 Oakland Athletics Top 10 Prospects Chat
other 72 12.2× 4165
https://www.baseballamerica.com/stories/2018-junior-college-preview/
2018 Junior College Preview
other 72 16.6× 3061
https://www.baseballamerica.com/stories/preseason-college-baseball-rankings-chat-2018/
Preseason College Baseball Rankings Chat 2018
pricing 72 17.5× 2788 💰 Pricing
https://www.baseballamerica.com/stories/2018-houston-astros-top-10-prospects-chat/
2018 Houston Astros Top 10 Prospects Chat
pricing 72 15.4× 3216 💰 Pricing
https://www.baseballamerica.com/stories/around-the-office-the-decision-at-no-1-on-the-top-100-prospects/
Around The Office: The Decision At No. 1 On The Top 100 Prospects
other 72 15.8× 3157
https://www.baseballamerica.com/stories/arkansas-enters-2018-with-high-expectations/
Arkansas Enters 2018 With High Expectations
pricing 72 16.6× 2963 💰 Pricing
https://www.baseballamerica.com/stories/around-the-office-how-much-difference-do-pitch-clocks-make/
Around The Office: How Much Difference Do Pitch Clocks Make?
other 72 18.8× 2606
https://www.baseballamerica.com/stories/hall-of-fame-flashback-keeping-up-with-the-joneses-notably-chipper/
Hall Of Fame Flashback: Keeping Up With The Joneses (Notably Chipper)
pricing 72 15.2× 3277 💰 Pricing
https://www.baseballamerica.com/stories/players-seek-riches-opportunity-in-japan-and-korea/
Players Seek Riches, Opportunity In Japan And Korea
other 72 17.6× 2817
https://www.baseballamerica.com/stories/2018-top-100-prospects-with-tools/
2018 Top 100 Prospects With Tools
pricing 67 21.0× 2692 💰 Pricing
https://www.baseballamerica.com/stories/monsterful-vr-pushes-the-envelope-for-hitting-development/
Monsterful VR Pushes The Envelope For Hitting Development
other 67 20.8× 1656
https://www.baseballamerica.com/stories/2018-preseason-juco-top-50-draft-prospects-plus-150-more-names-to-know/
Preseason JUCO Top 50 Draft Prospects
pricing 67 20.5× 2422 💰 Pricing
https://www.baseballamerica.com/stories/brewers-acquire-yelich-for-prospect-package/
Brewers Acquire Yelich For Prospect Package
other 67 23.9× 1446
https://www.baseballamerica.com/stories/hall-of-fame-flashback-it-s-a-vlad-vlad-vlad-vlad-world/
Hall Of Fame Flashback: It’s a Vlad, Vlad, Vlad, Vlad World
pricing 67 22.1× 2183 💰 Pricing
Showing 20 of 98 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
/stories/ 88 66 0% 41.4× High JS Bloat
/contact/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 64 0% 43.8× High JS Bloat
/features/ 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
/integrations/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 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
🔗
Outbound External Citations
0 unique external domains cited across 98 pages
tiktok.com ×89
instagram.com ×89
baseballamerica.myshopify.com ×89
play.google.com ×89
youtube.com ×89
twitter.com ×89
facebook.com ×89
apps.apple.com ×89
🔄 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/baseballamerica.com

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

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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
75
Projected Score
81
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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