The AI-Readiness profile for sportinglife.com is strong: an ACRI of 73/100 places it ahead of 76% of domains in the index. In the infrastructure sector, sportinglife.com outperforms the average (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. Heavy markup overhead (50.0× bloat) forces AI systems to wade through excess code before finding useful information. 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.
61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
✓ Exactly 1 <h1> tag — found 1
✓ Has <h2> headings — found 5
✓ <h2> not before <h1>
🔍 Indexability
✓ Canonical tag present → https://www.sportinglife.com/
✓ No noindex directive
✓ Meta viewport set
✓ HTML lang attribute → en-GB
✗ Hreflang tags
✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
✗ og:title
✗ og:description
✗ 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
58/10040 % 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.
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.
Structured Elements14 elements (14 lists, 0 rows, 0 headers)
Total Words889
Raw Density1.6%
💡Low structure score (23/100). 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.
Total Schema Blocks1 block(s) — Basic (low value for AI)
Schema Coverage Map
1/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.
💡Your HTML is 281.8 KB, but only 5.3 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
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.
Simulating AI crawler…
📐 Semantic Structure
🧩 Content Chunks
Each color block = one retrieval chunk. This is what enters the AI's context window.
🤖 What Each Bot Sees
🤖
AI Answer Preview
NEW
See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.
Only 1% 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 Sportinglife?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Sportinglife does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Sportinglife work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Sportinglife."
}
}
]
}
</script>
📈
Projected Impact
ROI EST.
If you apply the patches above, here's the estimated improvement for sportinglife.com:
Current Score
73
Projected Score
85
Improvement
+12 pts
Add WebSite schema+4 pts
Reduce token bloat+5 pts
Add FAQ schema+3 pts
*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.
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