sparq.ai 74 B
🛡️ SEO 84 🤖 GEO 67 ⚡ Perf 59 🏗️ Arch 93

sparq.ai — Global SEODiff Score 74/100

sparq.ai
📊

The AI-Readiness profile for sparq.ai is strong: an ACRI of 84/100 places it ahead of 98% of domains in the index. Within the infrastructure vertical, this places sparq.ai above the industry average of 57 —, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. A 21.2× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Rich structured data (4 schema blocks) gives AI systems strong semantic signals for entity recognition and knowledge graph inclusion. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

74
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (59) is your bottleneck.
🎯 Top Fix: Reduce token bloat (21×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 17, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Feb 23 Mar 17
🔔 Recent AI Indexing Activity
🔄 Mar 12 Content change detected
Does your site score higher than sparq.ai?
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)84 × 0.25 = 21.0
🤖 AI Readiness / GEO (40% weight)67 × 0.40 = 26.8
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 21.0 + 26.8 + 11.8 + 13.9
Global SEODiff Score = 74 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
38
Structure
avg 35
88
Schema
avg 9
80
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 35%
Rank #350017
-33 pts
Gap
AI (ACRI)
Top 2%
Score 84/100

sparq.ai ranks much higher on Google (Tranco Top 35%) than in AI search (Top 2%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why sparq.ai ranks here

Tech stackNuxt.js
RenderingSSR
Schema coverage4 blocks
Token bloat21.2×

Fastest improvements

  • 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

84/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

65 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

114 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 9
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.sparq.ai
  • ✓ 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 — AI-Powered Ecommerce Search & Filters | Boost Conversions | Sparq
  • ✓ og:description — AI-powered product discovery with smart filters, personalization & analytics. 30% avg conversion lift. Free trial.
  • ✓ 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

67/100 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 →
sparq.ai
62
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 38/100 — Low
Structured Elements 56 elements (56 lists, 0 rows, 0 headers)
Total Words1297
Raw Density4.3%
💡Low structure score (38/100). Your content appears as a wall of text with few structured HTML elements. You have 56 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 ✅ Present
Total Schema Blocks4 blocks

Schema Coverage Map

5/7 schema types detected
✅ Organization
✅ Product/Service
❌ Breadcrumb
✅ FAQ
❌ Article
✅ WebSite
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.

📐 AI Efficiency Metrics Docs

63
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability63/100 — AI models can partially extract answers from this page
Crawl CostMedium (40/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

4%
🗑️ 96%
Useful Content (8.8 KB)Bloat (178.3 KB)
Token Bloat Ratio21.2× — Heavy

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage56 / 56 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 187.2 KB, but only 8.8 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (21.2×) 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: 95.3% · SNR: 0.05 · Signal: 2262 / Noise: 45654 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…
🧠

The LLM Interpretation

AI-VERIFIED

SEODiff AI analyzed the extracted content of sparq.ai and produced this structured business intelligence. Fields marked SEMANTIC VOID indicate information the AI could not find — a critical gap in your site’s machine-readability.

Core Offering
Sparq enhances e-commerce search, improving product discovery and boosting conversions.
Target Audience
E-commerce store owners, product managers, marketing teams
Pricing Model
Free trial, with options for paid plans and demos.
🏆 Competitive Moat
Advanced semantic search for e-commerce, driving better product discovery.
📊 Content Depth
5/10
⚡ Key Pain Points
• Thin landing pages for features
• Lack of explicit pricing information
Analyzed by SEODiff AI · 2026-03-16

🔧 Tech Stack

FrameworkNuxt.js
AI-Readiness Score80/100
ServerVercel
CDNvercel
HTTP Status200
Load Time744 ms
Raw HTML Size187.2 KB
Visible Text Size8.8 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

744 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

848
DOM nodes
187 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate
  • ✗ CDN cache status
  • ✓ CDN detected → vercel

🔬 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

44
internal links
14
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 62/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
62
Single-page score
-25
Severe hidden bloat
Δ delta
Site-Wide ACRI
38
Avg across 10 pages · Range 33–61
🔍
Hidden Bloat Detected

Homepage scores 62, but internal pages average only 38 — a -25-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
3%
Topical Drift
TF-IDF cosine similarity
Total Words
2428
Avg Bloat
153.0×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

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
https://sparq.ai/pricing
Sparq Pricing | AI Search & Filters for Shopify | Sparq
pricing 61 52.2× 544 ⚠️ RAG Fracture
https://sparq.ai/features
AI Search, Filters & Merchandising Features | Sparq
pricing 53 41.8× 860 ⚠️ RAG Fracture
https://sparq.ai/about
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.5× 128 💰 Pricing
https://sparq.ai/products
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.5× 128 💰 Pricing
https://sparq.ai/blog
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.5× 128 💰 Pricing
https://sparq.ai/docs
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.5× 128 💰 Pricing
https://sparq.ai/case-studies
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.5× 128 💰 Pricing
https://sparq.ai/faq
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.4× 128 💰 Pricing
https://sparq.ai/contact
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.5× 128 💰 Pricing
https://sparq.ai/integrations
Sparq Search | Sparq Product Filter &amp; Search | Sparq
pricing 33 179.5× 128 💰 Pricing
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/pricing/ 1 61 1% 52.2× Bot Blocked
/features/ 1 53 1% 41.8× Bot Blocked
/integrations/ 1 33 1% 179.5× Bot Blocked
/products/ 1 33 1% 179.5× Bot Blocked
/about/ 1 33 1% 179.5× Bot Blocked
/blog/ 1 33 1% 179.5× Bot Blocked
/docs/ 1 33 1% 179.5× Bot Blocked
/contact/ 1 33 1% 179.5× Bot Blocked
/case-studies/ 1 33 1% 179.5× Bot Blocked
/faq/ 1 33 1% 179.4× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
instagram.com ×10
youtube.com ×10
apps.shopify.com ×10
twitter.com ×10
tally.so ×10
facebook.com ×10
linkedin.com ×10
help.sparq.ai ×10
🔄 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/sparq.ai

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
sparq.ai (this site) 62 84 Nuxt.js 21.2× 4
grupocasalima.com 87 96 WordPress 11.4× 5 Compare →
educationdirectory.com.au 86 87 Custom / Proprietary 5.1× 4 Compare →
ornibird.com 85 87 PrestaShop 3.0× 4 Compare →
edicionesgesicap.com 85 86 Express 4.2× 4 Compare →
pubsandclubs.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite sparq.ai 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…

🩹

Remediation Patches

COPY-PASTE

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

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 4% 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>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for sparq.ai:

Current Score
84
Projected Score
89
Improvement
+5 pts
Reduce token bloat +5 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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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