sellersnap.io 66 C
🛡️ SEO 64 🤖 GEO 72 ⚡ Perf 52 🏗️ Arch 73

sellersnap.io — Global SEODiff Score 66/100

sellersnap.io
📊

The AI-Readiness profile for sellersnap.io is strong: an ACRI of 73/100 places it ahead of 76% of domains in the index. Within the infrastructure vertical, this places sellersnap.io above the industry average of 57 —, suggesting strong competitive positioning in AI search. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The token bloat ratio sits at a lean 3.0×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (52) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than sellersnap.io?
Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)72 × 0.40 = 28.8
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)73 × 0.15 = 10.9
Weighted sum = 16.0 + 28.8 + 10.4 + 10.9
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
13
Structure
avg 35
44
Schema
avg 10
85
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 31%
Rank #311941
-7 pts
Gap
AI (ACRI)
Top 24%
Score 73/100

sellersnap.io is more visible to Google than to AI models. There's room to improve AI discoverability to match your search reputation. ACRI measures technical crawler readiness. Read the methodology →

Why sellersnap.io ranks here

Tech stackWordPress
RenderingSSR
Schema coverage2 blocks
Token bloat3.0×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

52 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

145 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 17
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Amazon Repricer | Maximize Profits with AI Repricing
  • ✓ og:description — A fully automated Amazon Repricer, applying game theory tactics to guarantee the best possible performance no matter how the competition changes.
  • ✗ og:image
  • ✓ 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

72/100 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 →
sellersnap.io
50
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 13/100 — Poor
Structured Elements 16 elements (16 lists, 0 rows, 0 headers)
Total Words3141
Raw Density0.5%
💡Low structure score (13/100). Your content appears as a wall of text with few structured HTML elements. You have 16 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 ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.

📐 AI Efficiency Metrics Docs

60
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability60/100 — AI models can partially extract answers from this page
Crawl CostMedium (60/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

33%
🗑️ 67%
Useful Content (144.4 KB)Bloat (289.7 KB)
Token Bloat Ratio3.0× — Lean

Multimodal Readiness

Visual Context40% Optimized for Vision
Image Alt Coverage37 / 92 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 40% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

50 Entropy
Fair Token Bloat: Medium
Noise Ratio: 66.7% · SNR: 0.50 · Signal: 36965 / Noise: 74165 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

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time696 ms
Raw HTML Size434.1 KB
Visible Text Size144.4 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

696 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1770
DOM nodes
434 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=600, must-revalidate
  • ✓ CDN cache status → HIT
  • ✓ CDN detected → cloudflare

🔬 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

73/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://sellersnap.io/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

145
internal links
11
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-US
  • ✓ 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 50/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for sellersnap.io
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/sellersnap.io" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=sellersnap.io" 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 5 pages · Deep-10

Homepage ACRI
50
Single-page score
+4
Consistent readability
Δ delta
Site-Wide ACRI
54
Avg across 5 pages · Range 44–64
Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
2659
Avg Bloat
350.9×
RAG Fractures
5
Ext. Citations
11
⚠️
5 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 5 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://sellersnap.io/pricing
Pricing - Seller Snap
pricing 64 62.0× 1500 ⚠️ RAG Fracture
https://sellersnap.io/case-studies
Case Studies Archive - Seller Snap
pricing 64 132.5× 574 ⚠️ RAG Fracture
https://sellersnap.io/about
Seller Snap | About Us
pricing 54 171.5× 376 ⚠️ RAG Fracture
https://sellersnap.io/features
Features - Seller Snap
pricing 44 396.2× 150 ⚠️ RAG Fracture
https://sellersnap.io/contact
Thank You - Contact - RQDemo - Seller Snap
pricing 44 992.3× 59 ⚠️ RAG Fracture
🔗
Outbound External Citations
11 unique external domains cited across 5 pages
maps.app.goo.gl ×5
instagram.com ×5
youtube.com ×5
twitter.com ×5
prospershow.com ×5
help.sellersnap.io ×5
facebook.com ×5
linkedin.com ×5
🔄 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/sellersnap.io

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
sellersnap.io (this site) 50 73 WordPress 3.0× 2
lafm.com.co 50 68 WordPress 3.0× 2 Compare →
forbestravelguide.com 50 74 WordPress 3.1× 2 Compare →
higashinada-journal.com 50 69 WordPress 3.2× 2 Compare →
pornopaulista.com 50 68 WordPress 3.2× 2 Compare →
naplesconstruction.net 50 67 WordPress 2.8× 2 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

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 Sellersnap?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Sellersnap does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Sellersnap work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Sellersnap."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for sellersnap.io:

Current Score
73
Projected Score
76
Improvement
+3 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).

Is this your company?

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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