nellisauction.com registers just 15/100 on the ACRI scale — a bottom-tier result indicating systemic AI visibility problems. In the infrastructure sector, nellisauction.com underperforms relative to the average (57), indicating room for competitive improvement. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. The bloated 22.4× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Comprehensive AI crawler restrictions limit this domain's presence in the growing AI search ecosystem.
21
F — Global SEODiff Score
Comprehensive search visibility assessment
Significant improvement opportunities. Start with Traditional SEO (0).
🎯 Top Fix: Allow GPTBot + ClaudeBot in robots.txt → lift the score cap
⚠️ Fatal multiplier: All major AI bots blocked → ×0.5
Global SEODiff Score = 21 (F)
🚫
Gatekeeper Rule: Score cannot exceed 15. Both GPTBot and ClaudeBot are blocked in robots.txt. No major AI assistant can cite this site. Allow at least one major AI crawler to lift the cap. See Bot Access →
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
✗ Exactly 1 <h1> tag — found 2
✗ Has <h2> headings — found 0
✓ <h2> not before <h1>
🔍 Indexability
✗ Canonical tag present
✓ No noindex directive
✓ Meta viewport set
✓ HTML lang attribute → en
➖ Hreflang tags — N/A (single language site)
✗ 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
50/10040 % of Global Score🟡 Medium 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 Elements44 elements (44 lists, 0 rows, 0 headers)
Total Words1761
Raw Density2.5%
💡Low structure score (29/100). Your content appears as a wall of text with few structured HTML elements. You have 44 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.
💡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.
💡Your HTML is 232.0 KB, but only 10.4 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (22.4×) 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.
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How often would an AI cite nellisauction.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.
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>
📈
Projected Impact
ROI EST.
If you apply the patches above, here's the estimated improvement for nellisauction.com:
Current Score
15
Projected Score
46
Improvement
+31 pts
Allow GPTBot+8 pts
Allow ClaudeBot+5 pts
Add Organization schema+6 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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