archive.org vs editage.jp — AI Visibility Gap

🔍 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 Archive?	entity	editage.jp	76	⚠ Mismatch
What features does Archive offer?	product	editage.jp	76	⚠ Mismatch
best technology solution for enterprise	comparison	editage.jp	76	⚠ Mismatch

🔧 Remediation Checklist for archive.org

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

1

Reduce 11x token bloat to under 3x

Your page sends 11 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": "archive.org",
  "url": "https://archive.org",
  "description": "..."
}
</script>

3

Fix 50% rendering gap (JS-only content)

Content that only appears after JavaScript execution is invisible to most AI crawlers. Implement SSR or prerendering for critical content sections.

Impact: high
```
// Next.js: Switch from client-side to SSR
// Replace: export default function Page() { ... }
// With:
export async function getServerSideProps() {
  return { props: { data: await fetchData() } }
}
```
4

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
5

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

AI Visibility Gap Identified

Assessment: AI Visibility Gap

📊 Evidence Dashboard

Evidence Score

Retrieval Mismatch

Hallucination Rate

Token Bloat

🔍 Shadow RAG Probe Results

🔧 Remediation Checklist for archive.org

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