kaspr.io 70 B
🛡️ SEO 58 🤖 GEO 64 ⚡ Perf 74 🏗️ Arch 100

kaspr.io — Global SEODiff Score 70/100

kaspr.io
📊

At 66/100, the ACRI for kaspr.io indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other infrastructure sites (avg score: 57), kaspr.io performs above the benchmark, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The 10.8× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

70
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (58) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Mar 5 Mar 8
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than kaspr.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)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)64 × 0.40 = 25.6
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 14.5 + 25.6 + 14.8 + 15.0
Global SEODiff Score = 70 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
21
Structure
avg 35
2
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 12%
Rank #115047
+32 pts
Gap
AI (ACRI)
Top 43%
Score 66/100

kaspr.io 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 kaspr.io ranks here

Tech stackHubSpot CMS
RenderingHybrid
Schema coverage1 blocks
Token bloat10.8×

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

58/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

57 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

150 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Find B2B Contact Data With Our LinkedIn Extension | Kaspr
  • ✓ og:description — Spend less time prospecting and hit your quota. Kaspr is a LinkedIn Chrome Extension and web app that gives you access to B2B contact data in seconds.
  • ✓ 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

64/100 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 →
kaspr.io
42
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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 21/100 — Low
Structured Elements 8 elements (8 lists, 0 rows, 0 headers)
Total Words625
Raw Density1.3%
💡Low structure score (21/100). Your content appears as a wall of text with few structured HTML elements. You have 8 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 Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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

40
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability40/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

9%
🗑️ 91%
Useful Content (12.4 KB)Bloat (121.3 KB)
Token Bloat Ratio10.8× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage44 / 44 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 90.7% · SNR: 0.10 · Signal: 3174 / Noise: 31058 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 kaspr.io 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
Kaspr is a Google Chrome extension that retrieves contact details from LinkedIn profiles, enabling users to enrich B2B contacts with
Target Audience
Sales professionals, business development teams, marketing teams, lead generation specialists, and CRM users.
Pricing Model
Freemium with monthly and annual subscription plans, offering varying numbers of credits and user licenses. Annual subscriptions include credits automatically added upon payment.
🔗 Integration Partners
HubspotSalesforcePipeDriveSendInblueZapierLinkedIn
🛡️ Compliance Standards
GDPR
🏆 Competitive Moat
AI-powered advanced search technology for accurate data retrieval from LinkedIn, combined with workflow automation and CRM integration, providing a more efficient lead generation process than manual LinkedIn research.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Requires LinkedIn account linking for full functionality
• Limited email address availability for non-professional email addresses
• Data privacy concerns regarding LinkedIn data usage
Analyzed by SEODiff AI · 2026-03-06

🔧 Tech Stack

FrameworkHubSpot CMS
AI-Readiness Score70/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time589 ms
Raw HTML Size133.7 KB
Visible Text Size12.4 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

589 ms
Acceptable — room for improvement

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

📦 Page Weight

694
DOM nodes
134 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✗ CDN cache status
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

2
tracker scripts
2
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.comjs.hs-scripts.com
📐 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

52
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
  • ✓ 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 42/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
42
Single-page score
-19
Moderate hidden bloat
Δ delta
Site-Wide ACRI
23
Avg across 10 pages · Range 0–72
🔍
Hidden Bloat Detected

Homepage scores 42, but internal pages average only 23 — a -19-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
4%
Topical Drift
TF-IDF cosine similarity
Total Words
4197
Avg Bloat
23.7×
RAG Fractures [?]
3
⚠️
3 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 3 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://kaspr.io/faq
Frequently Asked Questions | Kaspr
pricing 72 18.7× 1689 ⚠️ RAG Fracture
https://kaspr.io/pricing
Kaspr Plans & Pricing - Unlimited B2B Emails on Free Plan
pricing 64 34.0× 1901 ⚠️ RAG Fracture
https://kaspr.io/blog
Kaspr Blog - B2B | Prospecting | Sales | Recruitment
pricing 54 60.7× 439 ⚠️ RAG Fracture
https://kaspr.io/contact
Contact Us | Contact Kaspr
pricing 44 123.6× 168 💰 Pricing
https://kaspr.io/about about 0 0.0× 0
https://kaspr.io/products product 0 0.0× 0
https://kaspr.io/features product 0 0.0× 0
https://kaspr.io/docs docs 0 0.0× 0
https://kaspr.io/case-studies social-proof 0 0.0× 0
https://kaspr.io/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/blog/ 1 54 0% 60.7× High JS Bloat
/contact/ 1 44 0% 123.6× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 72 0% 18.7× High JS Bloat
/pricing/ 1 64 0% 34.0× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
help.kaspr.io ×4
instagram.com ×4
youtube.com ×4
cta-redirect.hubspot.com ×4
facebook.com ×4
linkedin.com ×4
kaspr.privacy.saymine.io ×4
chrome.google.com ×1
🔄 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/kaspr.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 kaspr.io. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
kaspr.io (this site) 42 66 HubSpot CMS 10.8× 1
try-hubspot.com 67 79 Custom / Proprietary 9.3× 1 Compare →
online-kassa.ru 67 83 WordPress 8.8× 2 Compare →
wasserstrom.com 67 78 Express 8.7× 0 Compare →
houseofzelena.com 67 79 Next.js 11.6× 3 Compare →
123print.com 67 77 Express 8.3× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite kaspr.io 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 kaspr.io. 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": "Kaspr",
  "url": "https://kaspr.io",
  "logo": "https://www.kaspr.io/hubfs/2023%20-%20Kaspr%20Brand%20Logos/favicon.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": "Kaspr",
  "url": "https://kaspr.io",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://kaspr.io/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 9% 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 Kaspr?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Kaspr does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Kaspr work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Kaspr."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
66
Projected Score
84
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
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