AI Visibility Gap Identified

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

vivoglobal.com

Grade F

proprietary

163.com

Grade B

proprietary

Assessment: AI Visibility Gap

vivoglobal.com has an ACRI score of 24, compared to 163.com with ACRI 74 — a 50-point gap that may affect AI citation rates.

Risk Factor: 6x Token Bloat

📊 Evidence Dashboard

Evidence Score

79/100

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

Retrieval Mismatch

100%

3/3 queries returned a competitor instead

Hallucination Rate

75%

2/8 fields extracted correctly

Token Bloat

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 维沃移动通信有限公司?	entity	163.com	74	⚠ Mismatch
What features does 维沃移动通信有限公司 offer?	product	163.com	74	⚠ Mismatch
best digital services for enterprise	comparison	163.com	74	⚠ Mismatch

🔧 Remediation Checklist for vivoglobal.com

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

1

Reduce 6x token bloat to under 3x

Your page sends 6 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: high
```

<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": "vivoglobal.com",
  "url": "https://vivoglobal.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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