Amzn.to operates as a URL shortening service under Amazon’s domain ecosystem, functioning primarily as a redirector rather than a content-rich destination. Its Global SEODiff Score of 26 and ACRI Grade of F indicate significant challenges in search visibility and content authority, particularly when compared to benchmark performance. While the site ranks at Tranco Rank 483, suggesting moderate global traffic, its technical and semantic foundations are severely underdeveloped, with a content integrity score of 9 and semantic structure score of 20, reflecting minimal meaningful content and poor information architecture.
Despite strong AI accessibility—gptbot, claudebot, ccbot, and Google Extended are all allowed—the site fails to leverage this potential. It lacks any structured data markup, including no organization, product, FAQ, article, breadcrumb, or website schema, rendering it invisible to AI-driven search systems. The technical profile reveals a critical flaw: a 75% ghost ratio and 11x token bloat, meaning only 182 bytes of useful text exist in a 2KB HTML payload, with just 26 words total. This severely limits extractability and semantic relevance. Although TTFB is 2.2 seconds and HTML payload is minimal, the absence of HSTS, CSP, and any internal or external links further undermines trust and crawlability.
Architecturally, the site has zero internal or external links, no declared sitemap, and no detectable site structure, which prevents link equity distribution and discovery. The Gini coefficient of 1.0 (implied by total lack of internal linking) confirms a complete absence of hierarchical content flow. While AI trust score is 26.3, this is likely due to domain authority rather than content quality. To improve, Amazon should either enhance the destination page with rich, structured content or reposition amzn.to as a transparent, authoritative redirect with metadata that supports AI indexing and user intent.
🧮 Score Transparency — How is this calculated?
📊 ACRI Sub-Scores (AI Readiness Detail)
amzn.to punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →
Why amzn.to ranks here
Fastest improvements
- Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
- Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
- Create an
llms.txtfile so AI crawlers can discover your content structure without heavy crawling. Generate llms.txt → - Run a full entropy audit to find which DOM regions waste the most tokens. Run Entropy Audit →
Traditional SEO
14/100 25 % of Global Score 🔴 Low Confidence📝 Title Tag
Optimal range: 30–60 characters for SERP display.
📋 Meta Description
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
- ✗ Exactly 1 <h1> tag — found 0
- ✗ Has <h2> headings — found 0
- ✓ <h2> not before <h1>
🔍 Indexability
- ✗ Canonical tag present
- ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
en - ➖ Hreflang tags — N/A (single language site)
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✗ og:title
- ✗ og:description
- ✗ og:image
- ✗ twitter:card
📐 How the SEO Pillar score is calculated
SEO Pillar = Title (20 pts) + Meta Desc (20 pts) + Heading Hierarchy (20 pts) + Indexability (20 pts) + Social/OG (20 pts)
Each sub-score is derived from the checks above. Canonical tag, lang attribute, og:image, and a single H1 are the highest-impact items.
AI Readiness / GEO
23/100 40 % of Global Score 🟢 High ConfidenceThis pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.
Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.
🤖 Bot Access Matrix
👻 Rendering (Ghost Ratio) Docs
📊 Structure & Information Density Docs
🏷️ Schema Health Docs
Schema Coverage Map
📐 AI Efficiency Metrics Docs
Token Bloat Research
Multimodal Readiness
TDM Rights
🔥 Structural Entropy Check Research
🔬 AI-Crawler Simulation
See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
AI Answer Preview
NEWSee how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.
🔧 Tech Stack
Performance & Speed
68/100 20 % of Global Score 🟢 High Confidence⏱️ Time to First Byte
Google considers <200 ms "good". AI crawlers may have even shorter timeouts.
📦 Page Weight
DOM nodes
HTML payload
🗄️ Cache & CDN
- ✓ Cache-Control header →
no-store, max-age=0 - ✗ CDN cache status
- ✓ CDN detected → cloudfront
🔬 Tracker Tax
tracker scripts
third-party domains
token overhead
📐 How the Performance Pillar score is calculated
Perf Pillar = TTFB (35 pts) + Page Weight (25 pts) + Cache/CDN (20 pts) + Tracker Tax (20 pts)
TTFB <200 ms = full marks. DOM >3000 or payload >300 KB incurs heavy penalties. Tracker scripts beyond 5 reduce score.
Architecture & Trust
46/100 15 % of Global Score 🔴 Low Confidence🗺️ Sitemap & Robots
- ✗ Sitemap declared in robots.txt
- ✓ Googlebot allowed
- ✓ GPTBot allowed
- ✓ ClaudeBot allowed
🔗 Linking
internal links
external links
🔒 Security & Trust
- ✗ HSTS header (Strict-Transport-Security)
- ✗ Content-Security-Policy header
- ✗ HTTP status 200 OK (got 202)
♿ Accessibility Signals
- ✓ HTML lang attribute → en
- ✓ Meta viewport for mobile
- ✗ Single H1 for screen readers
📐 How the Architecture Pillar score is calculated
Arch Pillar = Sitemap & Robots (30 pts) + Linking (25 pts) + Security (25 pts) + Accessibility (20 pts)
Having a valid sitemap, allowing AI bots, HSTS, and a good internal link count are the highest-impact items.
🏅 AI-Verified Trust Badge
Your site scores 20/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.
<a href="https://seodiff.io/radar/domains/amzn.to" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=amzn.to" alt="AI-Verified by SEODiff" width="280" height="52"></a>
💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.
� Deep Crawl Analysis 20 pages · Deep-10
Poorly formatted tables or pricing grids on 2 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.
| Page | Type | ACRI | Token Bloat | Words | Status |
|---|---|---|---|---|---|
| careers | 75 | 10.8× | 5993 | ✓ | |
| pricing | 61 | 46.3× | 1062 | 💰 Pricing | |
| pricing | 61 | 46.3× | 1062 | 💰 Pricing | |
| pricing | 60 | 65.8× | 630 | 💰 Pricing | |
| pricing | 56 | 207.8× | 684 | 💰 Pricing | |
| pricing | 56 | 207.8× | 684 | 💰 Pricing | |
| pricing | 56 | 208.1× | 683 | 💰 Pricing | |
| conversion | 51 | 126.8× | 387 | ⚠️ RAG Fracture | |
| trust | 51 | 112.7× | 381 | ⚠️ RAG Fracture | |
| conversion | 47 | 10.8× | 140 | ✓ | |
| pricing | 46 | 157.6× | 447 | 💰 Pricing | |
| product | 19 | 100.0× | 0 | ✓ | |
| product | 19 | 100.0× | 0 | ✓ | |
| product | 19 | 100.0× | 0 | ✓ | |
| docs | 19 | 100.0× | 0 | ✓ | |
| social-proof | 19 | 100.0× | 0 | ✓ | |
| support | 19 | 100.0× | 0 | ✓ | |
| integrations | 19 | 100.0× | 0 | ✓ | |
| legal | 19 | 100.0× | 0 | ✓ | |
| docs | 0 | 0.0× | 0 | ✓ |
| Path | Pages | Avg ACRI | Ghost % | Bloat | Top Issue |
|---|---|---|---|---|---|
| /features/ | 1 | 19 | 1% | 100.0× | Bot Blocked |
| /contact/ | 1 | 19 | 1% | 100.0× | Bot Blocked |
| /integrations/ | 1 | 19 | 1% | 100.0× | Bot Blocked |
| /resources/ | 1 | 60 | 1% | 65.8× | Bot Blocked |
| /guides/ | 1 | 56 | 0% | 207.8× | High JS Bloat |
| /security/ | 1 | 51 | 1% | 112.7× | Bot Blocked |
| /products/ | 1 | 19 | 1% | 100.0× | Bot Blocked |
| /docs/ | 1 | 19 | 1% | 100.0× | Bot Blocked |
| /case-studies/ | 1 | 19 | 1% | 100.0× | Bot Blocked |
| /support/ | 1 | 56 | 0% | 207.8× | High JS Bloat |
| /solutions/ | 1 | 19 | 1% | 100.0× | Bot Blocked |
| /api/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /careers/ | 1 | 75 | 0% | 10.8× | High JS Bloat |
| /blog/ | 1 | 61 | 1% | 46.2× | Bot Blocked |
| /trust/ | 1 | 56 | 0% | 208.1× | High JS Bloat |
Scores update automatically each month. Create a free account for on-demand re-crawls (3/month free).
🔌 API Access
Pull this data programmatically. All sub-page metrics are available via our public API.
curl https://seodiff.io/api/v1/deep10/domain/amzn.toGet your free API key — 100 requests/month included.
🔗 Similar Sites
Domains with a similar tech stack, industry, and AI readiness profile to amzn.to. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| amzn.to (this site) | 20 | 44 | Custom / Proprietary | 11.0× | 0 | — |
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📊 Semantic Share of Voice
How often would an AI cite amzn.to when users ask about topics in this domain's niche? We run entity queries through our 188k-page search index and measure citation probability.
Analyzing citation landscape…
Bait & Switch Delta
B 12 PAGESCompares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.
Worst Inner Pages
E-E-A-T Trust Signals
C 50/100Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.
Citation Profile
47 DOMAINSOutbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.
amazon.com
aboutamazon.com
amazon.jobs
instagram.com
email.aboutamazon.com
developer.amazon.com
AI trust scores for the domains amzn.to links to. Citing high-trust sources lifts your own credibility signal.
Remediation Patches
COPY-PASTEAuto-generated code fixes tailored to amzn.to. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Amzn",
"url": "https://amzn.to",
"logo": "https://amzn.to/logo.png",
"sameAs": []
}
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Amzn",
"url": "https://amzn.to",
"potentialAction": {
"@type": "SearchAction",
"target": "https://amzn.to/search?q={search_term_string}",
"query-input": "required name=search_term_string"
}
}
</script>
<!-- Ensure main content is in the initial HTML response --> <main id="content"> <!-- Server-rendered content goes here --> <h1>Amzn</h1> <p>Your key content should render without JavaScript.</p> <!-- Move <script> tags to the bottom of <body> --> </main> <!-- In your framework config, enable SSR/prerendering: --> <!-- your framework -->
<!-- Move inline CSS to external stylesheets --> <link rel="stylesheet" href="/css/main.css"> <!-- Move inline scripts to external files with defer --> <script src="/js/app.js" defer></script> <!-- Remove duplicate navigation blocks --> <!-- Keep only ONE <nav> in the <header> --> <!-- Ensure <main> wraps your primary content --> <main> <!-- Your content here — this is what AI sees first --> </main>
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for amzn.to:
*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.
📋 Data Export
Download scores and metadata for audits, client reports, or CI/CD pipelines. Exports contain computed metrics only (no copyrighted content).
All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).
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