marvelapp.com 61 C
🛡️ SEO 55 🤖 GEO 57 ⚡ Perf 54 🏗️ Arch 93

marvelapp.com — Global SEODiff Score 61/100

marvelapp.com
📊

marvelapp.com shows strong AI visibility with an ACRI of 74/100, outperforming 78% of indexed domains. Within the saas vertical, this places marvelapp.com 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. Heavy markup overhead (50.0× bloat) forces AI systems to wade through excess code before finding useful information. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (54) is your bottleneck.
🎯 Top Fix: Reduce token bloat (137×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
Does your site score higher than marvelapp.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)55 × 0.25 = 13.8
🤖 AI Readiness / GEO (40% weight)57 × 0.40 = 22.8
⚡ Performance (20% weight)54 × 0.20 = 10.8
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 13.8 + 22.8 + 10.8 + 13.9
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
28
Structure
avg 35
42
Schema
avg 9
75
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #54091
+17 pts
Gap
AI (ACRI)
Top 22%
Score 74/100

marvelapp.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 marvelapp.com ranks here

Tech stackGatsby
Industrysaas
RenderingSSR
Schema coverage1 blocks
Token bloat50×+

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

55/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

72 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

157 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 4
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://marvelapp.com
  • ✓ 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

57/100 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 saas sector, smahospital.jp (ACRI: 84) 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 →
marvelapp.com
41
Your ACRI Score
84
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. smahospital.jp has schema coverage of 1 blocks and uses Next.js. 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 28/100 — Low
Structured Elements 12 elements (12 lists, 0 rows, 0 headers)
Total Words519
Raw Density2.3%
💡Low structure score (28/100). Your content appears as a wall of text with few structured HTML elements. You have 12 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 Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

44
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability44/100 — AI models can partially extract answers from this page
Crawl CostHigh (85/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (4.6 KB)Bloat (620.8 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage1 / 1 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 625.3 KB, but only 4.6 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) 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: 99.3% · SNR: 0.01 · Signal: 1171 / Noise: 158916 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 marvelapp.com 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
Marvel is a collaborative design tool for teams to brainstorm and visualize ideas.
Target Audience
Designers, product managers, creative teams
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Collaborative design platform fostering a creative and entrepreneurial culture.
📊 Content Depth
4/10
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkGatsby
AI-Readiness Score75/100
ServerUploadServer
CDN
HTTP Status200
Load Time718 ms
Raw HTML Size625.3 KB
Visible Text Size4.6 KB

Performance & Speed

54/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

718 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

862
DOM nodes
625 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate, fastly
  • ✗ 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

78
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 41/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for marvelapp.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/marvelapp.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=marvelapp.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 70 pages · Deep-10

Homepage ACRI
41
Single-page score
-4
Consistent readability
Δ delta
Site-Wide ACRI
37
Avg across 70 pages · Range 0–67
Topical Cohesion
26%
Topical Drift
TF-IDF cosine similarity
Total Words
22044
Avg Bloat
7032.5×
RAG Fractures [?]
50
⚠️
50 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 50 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://marvelapp.com/blog
Marvel Blog - Ideas and words on user experience, design, collaboration and more
blog 67 25.8× 1187 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/cabify
Marvel | Digital Design Platform | Cabify Case Study
pricing 56 139.1× 863 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/cookpad
Marvel | Digital Design Platform | CookPad Case Study
pricing 56 107.1× 1142 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/deliveroo
Marvel | Digital Design Platform | Deliveroo Case Study
pricing 56 121.3× 990 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/hudl
Marvel | Digital Design Platform | Hudl Case Study
pricing 56 140.1× 863 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/mode
Marvel | Digital Design Platform | Mode Case Study
pricing 56 121.8× 995 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/trusona
Marvel | Digital Design Platform | Trusona Case Study
pricing 56 126.9× 933 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/monzo
Marvel | Digital Design Platform | Monzo Case Study
pricing 56 131.4× 933 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/nokia
How Nokia uses Marvel to collaborate effectively across global teams
pricing 56 144.1× 817 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/yieldr
Marvel | Digital Design Platform | Yieldr Case Study
pricing 56 139.7× 860 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/designmuseum
Marvel | Digital Design Platform | Design Museum Case Study
pricing 56 100.7× 1212 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/zinc
Marvel | Digital Design Platform | Zinc Case Study
pricing 56 59.7× 2113 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/buzzfeed
Marvel | Digital Design Platform | Buzzfeed Case Study
pricing 56 173.8× 681 ⚠️ RAG Fracture
https://marvelapp.com/case-studies/laboratoria
Marvel | Digital Design Platform | Laboratoria Case Study
pricing 56 112.3× 1116 ⚠️ RAG Fracture
https://marvelapp.com/security
Marvel | Security
pricing 56 179.3× 621 ⚠️ RAG Fracture
https://marvelapp.com/security/bountypolicy
Marvel | Bug Bounty Policy
pricing 56 174.8× 633 ⚠️ RAG Fracture
https://marvelapp.com/pricing
Pricing and plans | Marvel
pricing 46 351.3× 341 ⚠️ RAG Fracture
https://marvelapp.com/resources
Marvel | Free Design Resources | Webinars, eBooks and more
pricing 46 372.2× 343 ⚠️ RAG Fracture
https://marvelapp.com/about
Marvel | About Us | Behind Our Design Thinking Mission
pricing 46 387.6× 308 ⚠️ RAG Fracture
https://marvelapp.com/features/integrations
Marvel Integrations | Connect with Sketch, Jira and more
pricing 46 522.1× 401 ⚠️ RAG Fracture
Showing 20 of 70 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
/integrations/ 16 34 0% 877.6× High JS Bloat
/case-studies/ 14 52 0% 115.6× High JS Bloat
/developers/ 12 26 0% 37774.0× High JS Bloat
/features/ 8 44 0% 578.3× High JS Bloat
/examples/ 6 36 0% 1395.3× High JS Bloat
/security/ 3 46 0% 1646.5× High JS Bloat
/blog/ 1 67 0% 25.8× High JS Bloat
/contact/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/resources/ 1 46 0% 372.2× High JS Bloat
/android-app-builder/ 1 46 0% 441.3× High JS Bloat
/pricing/ 1 46 0% 351.3× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 46 0% 387.6× High JS Bloat
🔄 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/marvelapp.com

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

🔗 Similar saas Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
marvelapp.com (this site) 41 74 Gatsby 136.7× 1
puratos.com 66 79 Adobe Experience Manager 2.5× 1 Compare →
myclientsplus.com 66 81 WordPress 8.7× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite marvelapp.com 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 marvelapp.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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": "Marvelapp",
  "url": "https://marvelapp.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://marvelapp.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 0% 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 Marvelapp?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Marvelapp does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Marvelapp work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Marvelapp."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
74
Projected Score
86
Improvement
+12 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
🔍 Found indexing issues?
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