AI Visibility Gap Identified

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

mega.co.nz

Grade F

proprietary

tjk.org

Grade B

proprietary

Assessment: AI Visibility Gap

mega.co.nz has an ACRI score of 15, compared to tjk.org with ACRI 74 — a 59-point gap that may affect AI citation rates.

Risk Factor: 138x 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

75%

2/8 fields extracted correctly

Token Bloat

138x

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 MEGA?	entity	tjk.org	74	⚠ Mismatch
What features does MEGA offer?	product	tjk.org	74	⚠ Mismatch
best online platform for enterprise	comparison	tjk.org	74	⚠ Mismatch

🔧 Remediation Checklist for mega.co.nz

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

1

Reduce 138x token bloat to under 3x

Your page sends 138 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": "mega.co.nz",
  "url": "https://mega.co.nz",
  "description": "..."
}
</script>

3

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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