AI Visibility Gap Identified

playrix.com ranks well in traditional search but shows low AI extractability. Here's the analysis — and practical steps to improve.

playrix.com

Grade F

proprietary

ruliweb.com

Grade B

proprietary

Assessment: AI Visibility Gap

playrix.com scores 20 ACRI while semantic competitor ruliweb.com scores 76. Enhanced structured data may improve AI extractability.

Risk Factor: 18x Token Bloat + JS Rendering Gap

📊 Evidence Dashboard

Evidence Score

83/100

Composite (retrieval 50% + hallucination 30% + bloat 10% + rank 10%)

Retrieval Mismatch

100%

3/3 queries returned a competitor instead

Hallucination Rate

88%

1/8 fields extracted correctly

Token Bloat

18x

HTML tokens per useful content token

🔍 Shadow RAG Probe Results

Each query was run against our FAISS-indexed corpus of 100,000+ domains. The table shows who the retrieval pipeline cited as the top answer.

Query	Type	Top Retrieved	ACRI	Result
What is Playrix?	entity	ruliweb.com	76	⚠ Mismatch
What features does Playrix offer?	product	ruliweb.com	76	⚠ Mismatch
best online platform for enterprise	comparison	ruliweb.com	76	⚠ Mismatch

🔧 Remediation Checklist for playrix.com

Prioritized technical fixes to reclaim AI citation share. Total estimated effort: 1–3 engineering sprints.

1

Reduce 18x token bloat to under 3x

Your page sends 18 tokens of HTML for every token of useful content. AI crawlers waste context window on navigation, scripts, and boilerplate. Serve a clean semantic layer.

Impact: critical
```

<link rel="alternate" type="application/ld+json" href="/structured-data.json">

```

Add comprehensive JSON-LD structured data

Only 0 schema types detected. Add Organization, Product/Service, FAQ, and Breadcrumb schemas to give AI extractors ground truth.

Impact: high

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "playrix.com",
  "url": "https://playrix.com",
  "description": "..."
}
</script>

3

Add descriptive meta description

No meta description found. AI extractors use this as a primary signal for page summary. Without it, the model must derive context from noisy body HTML.

Impact: medium
4

Improve semantic HTML structure

Low information density. Use proper headings (H1-H3), ordered lists, definition lists, and table markup so AI can parse your content hierarchically.

Impact: medium

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