AI Visibility Gap Identified

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

wikimedia.org

Grade F

mediawiki

medi.de

Grade A

typo3

Assessment: AI Visibility Gap

wikimedia.org has strong traditional search presence but an ACRI of 23 suggests room for AI-readiness improvement vs medi.de (84 ACRI).

Risk Factor: 27x Token Bloat + JS Rendering Gap

📊 Evidence Dashboard

Evidence Score

61/100

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

Retrieval Mismatch

67%

2/3 queries returned a competitor instead

Hallucination Rate

62%

3/8 fields extracted correctly

Token Bloat

27x

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 Wikimedia?	entity	wikimedia.org	23	✓ Match
What features does Wikimedia offer?	product	medi.de	84	⚠ Mismatch
best online platform for enterprise	comparison	medi.de	84	⚠ Mismatch

🔧 Remediation Checklist for wikimedia.org

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

1

Reduce 27x token bloat to under 3x

Your page sends 27 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": "wikimedia.org",
  "url": "https://wikimedia.org",
  "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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