aboutamazon.com 56 D
🛡️ SEO 50 🤖 GEO 53 ⚡ Perf 47 🏗️ Arch 83

aboutamazon.com — Global SEODiff Score 56/100

aboutamazon.com
📊

At 64/100, aboutamazon.com falls in the moderate bracket of AI-Readiness, suggesting its content is partially accessible to AI systems but not fully optimized. Compared to other infrastructure sites (avg score: 58), aboutamazon.com performs above the benchmark, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. The bloated 32.7× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

56
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (47) needs urgent attention.
🎯 Top Fix: Reduce token bloat (33×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
📈 ACRI Trend 24 snapshots
Feb 22 Feb 26
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than aboutamazon.com?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)53 × 0.40 = 21.2
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 12.5 + 21.2 + 9.4 + 12.4
Global SEODiff Score = 56 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
12
Structure
avg 36
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.5%
Rank #5287
+47 pts
Gap
AI (ACRI)
Top 47%
Score 64/100

aboutamazon.com 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 aboutamazon.com ranks here

Tech stackNext.js
RenderingSSR
Schema coverage0 blocks
Token bloat32.7×

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.txt file 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 →
🧪

JavaScript Rendering Check

We check what AI crawlers miss when they skip JavaScript execution.

Running headless browser to simulate AI extraction…
🛡️

Traditional SEO

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

66 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

61 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.aboutamazon.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Amazon News: Breaking news about Amazon and latest company updates
  • ✓ og:description — News announcements, original stories, and facts about Amazon.
  • ✓ og:image — preview
  • ✓ twitter:card — summary_large_image
📐 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

53/100 40 % of Global Score 🟢 High Confidence

This pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.

🔗

Citation Alternatives

Research
💡
Insight: In the infrastructure sector, safely.co.jp (ACRI: 90) currently has stronger AI extractability. AI models tend to prefer sources with higher semantic structure and schema coverage. Domains with ACRI < 40 see 3.5× more hallucinations. Read the research →
aboutamazon.com
35
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. Improve your score by implementing the remediation patches below.
📊 Side-by-Side Comparison →
🚨

Hallucination Risk

Research

Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed

👻 Rendering (Ghost Ratio) Docs

Ghost Ratio 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 12/100 — Poor
Structured Elements 5 elements (5 lists, 0 rows, 0 headers)
Total Words1130
Raw Density0.4%
💡Low structure score (12/100). Your content appears as a wall of text with few structured HTML elements. You have 5 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 schema types detected
❌ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
❌ WebSite
💡Organization schema missing. AI models cannot identify your brand entity. Without it, your brand won't appear in Knowledge Panels or be associated with your content.
💡Product / Service schema missing. AI models don't know this is a SaaS product. Add Product or SoftwareApplication schema so AI understands what you offer and can surface pricing/features.
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

31
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability31/100 — AI models can barely extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

3%
🗑️ 97%
Useful Content (7.3 KB)Bloat (233.2 KB)
Token Bloat Ratio32.7× — Bloated

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage28 / 28 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 240.5 KB, but only 7.3 KB is text. 3% useful / 97% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (32.7×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 96.9% · SNR: 0.03 · Signal: 1880 / Noise: 59687 tokens

🔬 AI-Crawler Simulation

See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.

🌐
This is what humans see — styled, branded, visual.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖

AI Answer Preview

NEW

See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.

Simulating AI extraction…

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time1010 ms
Raw HTML Size240.5 KB
Visible Text Size7.3 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1010 ms
Slow — bots may time out or deprioritise

Google considers <200 ms "good". AI crawlers may have even shorter timeouts.

📦 Page Weight

1040
DOM nodes
240 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, no-cache, no-store, max-age=0, must-revalidate
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

0
tracker scripts
0
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
📐 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

83/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.aboutamazon.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

141
internal links
10
external links
Good internal linking — helps crawlers discover content

🔒 Security & Trust

  • ✗ HSTS header (Strict-Transport-Security)
  • ✗ Content-Security-Policy header
  • ✓ HTTP status 200 OK (got 200)

♿ 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 35/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for aboutamazon.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/aboutamazon.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=aboutamazon.com" 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 998 pages · Deep-10

Homepage ACRI
35
Single-page score
+29
Subpages outperform homepage
Δ delta
Site-Wide ACRI
64
Avg across 998 pages · Range 30–87
Topical Cohesion
13%
Topical Drift
TF-IDF cosine similarity
Total Words
981810
Avg Bloat
76.8×
RAG Fractures [?]
17
⚠️
17 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 17 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.aboutamazon.com/news/company-news/amazons-covid-19-blog-updates-on-how-were-responding-to-the-crisis
Amazon’s COVID-19 blog
pricing 87 6.3× 27757 ⚠️ RAG Fracture
https://www.aboutamazon.com/news/company-news/acciones-de-amazon-para-ayudar-a-los-clientes-comunidades-y-empleados-afectados-por-el-covid-19
Blog de vacunación y pruebas de COVID-19 de Amazon
pricing 87 5.8× 30239 💰 Pricing
https://www.aboutamazon.com/news/company-news/2017-letter-to-shareholders
2017 Letter to Shareholders
pricing 87 8.8× 6123 💰 Pricing
https://www.aboutamazon.com/news/company-news/2019-letter-to-shareholders
2019 Letter to Shareholders
pricing 87 10.0× 4866 ⚠️ RAG Fracture
https://www.aboutamazon.com/news/policy-news-views/statement-by-jeff-bezos-to-the-u-s-house-committee-on-the-judiciary
Statement by Jeff Bezos to the U.S. House Committee on the Judiciary
pricing 87 9.5× 4724 💰 Pricing
https://www.aboutamazon.com/news/company-news/2018-letter-to-shareholders
2018 Letter to Shareholders
pricing 77 11.0× 4284 💰 Pricing
https://www.aboutamazon.com/news/innovation/live-from-las-vegas-its-re-mars-2019
Live from Las Vegas, it's re:MARS 2019
pricing 77 12.0× 10539 💰 Pricing
https://www.aboutamazon.com/news/devices/amazon-devices-event-september-2019
Amazon Devices Event – September 2019
pricing 77 11.4× 6376 💰 Pricing
https://www.aboutamazon.com/news/devices/alexa-became-even-more-natural-and-useful-for-customers-in-2019
Alexa became even more natural and useful in 2019
pricing 74 19.2× 1946 💰 Pricing
https://www.aboutamazon.com/news/operations/las-caras-detras-de-las-operaciones-de-amazon
Las caras detrás de las operaciones de Amazon
pricing 74 15.6× 3123 💰 Pricing
https://www.aboutamazon.com/news/entertainment/inside-the-writers-studio-at-amazon-studios
Inside the writer's room at Amazon Studios
pricing 74 19.2× 2166 💰 Pricing
https://www.aboutamazon.com/news/devices/alexa-skip-to-2021
Alexa, skip to 2021
pricing 74 19.7× 2069 💰 Pricing
https://www.aboutamazon.com/news/workplace/an-interns-experience
An intern's experience
pricing 74 18.7× 2067 💰 Pricing
https://www.aboutamazon.com/news/devices/a-look-back-at-10-years-of-the-amazon-kindle
A look back at 10 years of the Amazon Kindle
pricing 74 17.3× 2502 💰 Pricing
https://www.aboutamazon.com/news/entertainment/music-in-a-voice-first-world
Music in a voice-first world
pricing 74 19.0× 2177 💰 Pricing
https://www.aboutamazon.com/news/devices/amazon-devices-event-september-2018
Amazon Devices Event – September 2018
pricing 74 14.3× 4548 💰 Pricing
https://www.aboutamazon.com/news/company-news/amazonians-speak-up
Employees talk about their experiences working at Amazon
pricing 74 13.4× 3070 💰 Pricing
https://www.aboutamazon.com/news/company-news/amazon-selects-new-york-city-and-northern-virginia-for-new-headquarters
Amazon selects New York City and Northern Virginia for new headquarters
pricing 74 17.0× 2611 💰 Pricing
https://www.aboutamazon.com/news/retail/the-history-of-prime-day
What is Amazon Prime Day? History of Prime Day and top sellers from each year
pricing 74 19.5× 2430 💰 Pricing
https://www.aboutamazon.com/news/workplace/a-pioneer-of-cloud-computing
A pioneer of cloud computing
pricing 74 18.0× 2137 💰 Pricing
Showing 20 of 100 pages. Unlock full subpage table →
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/news/ 496 67 1% 38.6× Bot Blocked
/about-us/ 3 67 1% 36.2× Bot Blocked
/affinity-groups/ 1 66 1% 37.8× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 998 pages
linkedin.com ×995
amazon.com ×995
press.aboutamazon.com ×995
email.aboutamazon.com ×993
ir.aboutamazon.com ×993
youtube.com ×993
instagram.com ×993
amazon.jobs ×993
🔄 Re-Crawl & Update 📡 Track this Domain

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/aboutamazon.com

Get your free API key — 100 requests/month included.

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to aboutamazon.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
aboutamazon.com (this site) 35 64 Next.js 32.7× 0
buaksib.net 60 80 Next.js 15.7× 1 Compare →
mallorcayachts.com 60 84 WordPress 27.9× 1 Compare →
doudoumalin.com 60 80 Express 18.7× 0 Compare →
festivaldespa.be 60 80 WordPress 18.5× 1 Compare →
fejlesztesiprogramok.uni-nke.hu 60 72 Custom / Proprietary 3.2× 0 Compare →
Compare All 5 Similar Sites →
👻

Rendering Drop-Off by Depth

DEPTH PENALTY 998 PAGES
20%
Homepage Ghost
58%
Deep Pages Avg Ghost
6%
Homepage Bloat
77%
Deep Pages Avg Bloat
Ghost Ratio by Crawl Depth
Depth 0
20%
1 pg · ACRI 87
Orphan
58%
997 pg · ACRI 64
⚠️ Worst Rendering Pages
70% https://www.aboutamazon.com/news/transportation orphan
70% https://www.aboutamazon.com/news/entertainment orphan
70% https://www.aboutamazon.com/news/operations orphan
70% https://www.aboutamazon.com/news/retail orphan
70% https://www.aboutamazon.com/news/workplace orphan
Deeper pages lose rendering fidelity. Pages at depth 4+ often show 2-3× higher ghost ratios than the homepage, meaning AI crawlers see progressively less of your actual content as they navigate deeper into the site architecture.
🏗️

Deep Architecture Health & Equity Distribution

998 PAGES
84.9%
Gini Inequality [?]
Extreme hoarding
85%
Top-3 PR Share [?]
Equity held by 3 pages
997
Orphan Pages [?]
99.9% of site
0.0
Avg Click Depth [?]
Max: 0 clicks
0
Internal Links
997 disconnected
18%
Semantic Cohesion [?]
Topical Drift
0% Healthy (receive equity)
0% Diluted hubs (>50 outbound)
100% Orphans (zero inbound)
🔗 Top Hub Pages (Highest PageRank)
https://www.aboutamazon.com/news/company-news/amazons-covid-19-blog-updates-on-how-were-responding-to-the-crisis https://www.aboutamazon.com/news/company-news/acciones-de-amazon-para-ayudar-a-los-clientes-comunidades-y-empleados-afectados-por-el-covid-19 https://www.aboutamazon.com/news/company-news/2017-letter-to-shareholders https://www.aboutamazon.com/news/company-news/2019-letter-to-shareholders https://www.aboutamazon.com/news/policy-news-views/statement-by-jeff-bezos-to-the-u-s-house-committee-on-the-judiciary
⚠️
997 orphan pages receive zero internal link equity. A Gini coefficient of 0.85 means the top 3 pages hoard 85% of all internal PageRank — AI crawlers may never discover the rest.
💡 Quick Win: Optimal Link Injection
To rescue the orphan page acciones de amazon para ayudar a los clientes comunidades y empleados afectados por el covid 19, add a link to it from your high-authority Hub Page amazons covid 19 blog updates on how were responding to the crisis. (Semantic Match: 72%)
📥 Orphan: https://www.aboutamazon.com/news/company-news/acciones-de-amazon-para-ayudar-a-los-clientes-comunidades-y-empleados-afectados-por-el-covid-19
🔗 Donor: https://www.aboutamazon.com/news/company-news/amazons-covid-19-blog-updates-on-how-were-responding-to-the-crisis (PR: 0.8502)
Get the full link injection plan for all 997 orphan pages
Unlock Full Link Strategy →
The Gini coefficient measures link equity inequality across your site. A Gini of 0.85 indicates severe equity hoarding — a handful of pages dominate PageRank while hundreds starve. AI crawlers penalize this by ignoring deep pages.
🧲

Semantic Density

THIN 956 TOPICS
956
Topic Clusters
via TF-IDF cosine, ε=.60
0
High-Density Pairs
>92% cosine similarity
Thin
Contextual Depth
≤5 pairs
Semantic Density measures how deeply your site covers each topic. High-density clusters (>92% similarity) mean multiple pages reinforce the same subject — this is positive for RAG/AI systems that need corroborating sources. Thin coverage (few clusters) means AI models have less evidence to cite you.
🧬

Entity Knowledge Gap Analysis

10 MISSING 12% COVERAGE
⚠️ 10 entities mentioned in content but missing from structured data:
Go AWS SSO REST Rust Vue React Segment Notion Anthropic
Each missing entity is a lost opportunity for rich snippet inclusion and AI knowledge graph integration.
Schema Coverage: 2 declared vs 17 extracted — 12% coverage Entities with <100% coverage create knowledge graph blind spots for AI systems
🧭

Semantic Nearest Neighbors

View all →
achievement.org
Bringing young leaders face-to-face with visionaries
57%
Overlap
80
ACRI
Compare
appdirect.com
B2B subscription commerce platform for technology services
50%
Overlap
78
ACRI
Compare
50%
Overlap
52
ACRI
Compare
48%
Overlap
60
ACRI
Compare
ap.org
Guidelines for accurate and unbiased news reporting and editing
48%
Overlap
62
ACRI
Compare
View All Semantic Alternatives → 📚 Docs Quality Index →
🎭

Bait & Switch Delta

A 15 PAGES

Compares 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.

30
Homepage ACRI
30
Inner Avg ACRI
0
ACRI Delta
70%
Homepage Ghost
70%
Inner Avg Ghost
0
Drift Score [?]
Worst Inner Pages
30 70% pricing https://www.aboutamazon.com/news/amazon-prime
30 70% pricing https://www.aboutamazon.com/news/devices
30 70% pricing https://www.aboutamazon.com/news/retail
🛡️

E-E-A-T Trust Signals

F 15/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
🔗

Citation Profile

10 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

150
Total Links
10
Unique Domains
10.0
Avg/Page
7%
Diversity
linkedin.com email.aboutamazon.com press.aboutamazon.com amazon.com facebook.com instagram.com x.com ir.aboutamazon.com amazon.jobs youtube.com
🏘️ Outbound Neighborhood Trust Avg Trust: 49.6

AI trust scores for the domains aboutamazon.com links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to aboutamazon.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add Organization JSON-LD
High Impact ⏱ 5 min
AI models cannot identify your brand entity without Organization schema. This is the #1 fix for AI visibility.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Aboutamazon",
  "url": "https://aboutamazon.com",
  "logo": "https://aboutamazon.com/_next/static/media/apple-touch-icon.706b1b87.png",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Aboutamazon",
  "url": "https://aboutamazon.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://aboutamazon.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 3% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- 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>
Add FAQ Schema
Medium Impact ⏱ 10 min
FAQ schema lets AI models directly extract Q&A pairs. This is the easiest way to get featured in AI responses.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Aboutamazon?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Aboutamazon does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Aboutamazon work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Aboutamazon."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for aboutamazon.com:

Current Score
64
Projected Score
82
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +5 pts
Add FAQ schema +3 pts

*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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🧭 Self-Diffing (Private Layer)

For owned domains, combine this world snapshot with private drift + regression history.
Template Drift
Track in My Site
Drift → Traffic Impact
In development coming soon
Regression Incidents
Track in My Site
Internal Linking
Deep Audit graph
Semantic Structure
GEO view in Deep Audit
Content Quality
Thin/duplicate tracking

🕒 History

Score over timeAvailable in My Site history
Drift eventsTemplate timeline + incidents
Drift → Revenue AttributionComing soon
Schema/rendering/extractability changesTracked per scan in project history