marqeta.com 62 C
🛡️ SEO 58 🤖 GEO 54 ⚡ Perf 68 🏗️ Arch 80

marqeta.com — Global SEODiff Score 62/100

marqeta.com
📊

marqeta.com achieves a 71/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Compared to other finance sites (avg score: 57), marqeta.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. A 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

62
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but AI Readiness (54) is your bottleneck.
🎯 Top Fix: Reduce token bloat (80×) → +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 marqeta.com?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)54 × 0.40 = 21.6
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)80 × 0.15 = 12.0
Weighted sum = 14.5 + 21.6 + 13.6 + 12.0
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
17
Structure
avg 35
42
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #72147
+23 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

marqeta.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 marqeta.com ranks here

Tech stackNext.js
Industryfinance
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

58/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

49 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

155 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 5
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Marqeta | Modern Card Issuing & Payment Solutions
  • ✓ og:description — Transform your business with Marqeta's modern card issuing platform. Our open API platform allows businesses to instantly issue cards and process payments.
  • ✓ 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

54/100 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 finance sector, cardpay.com (ACRI: 82) 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 →
marqeta.com
37
Your ACRI Score
82
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. cardpay.com has schema coverage of 1 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 17/100 — Poor
Structured Elements 5 elements (5 lists, 0 rows, 0 headers)
Total Words599
Raw Density0.8%
💡Low structure score (17/100). 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 ✅ 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

42
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability42/100 — AI models can partially 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

1%
🗑️ 99%
Useful Content (3.9 KB)Bloat (310.7 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage25 / 25 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 314.6 KB, but only 3.9 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: 98.7% · SNR: 0.01 · Signal: 1009 / Noise: 79531 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
ServerNetlify
CDNnetlify
HTTP Status200
Load Time836 ms
Raw HTML Size314.6 KB
Visible Text Size3.9 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

836 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

748
DOM nodes
315 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

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

🔬 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

80/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

59
internal links
5
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 37/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for marqeta.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/marqeta.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=marqeta.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 56 pages · Deep-10

Homepage ACRI
37
Single-page score
+19
Subpages outperform homepage
Δ delta
Site-Wide ACRI
56
Avg across 56 pages · Range 0–66
Topical Cohesion
20%
Topical Drift
TF-IDF cosine similarity
Total Words
50983
Avg Bloat
62.0×
RAG Fractures [?]
6
⚠️
6 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 6 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.marqeta.com/blog/money-2020 blog 66 15.2× 816
https://www.marqeta.com/blog/how-to-prepare-for-the-opportunities-and-risks-of-global-expansion blog 66 14.3× 943
https://www.marqeta.com/blog/embedded-edge-a-look-into-the-future-of-embedded-finance blog 66 14.3× 878
https://www.marqeta.com/blog/intelligent-authorisation-and-settlement-services blog 66 13.1× 991
https://marqeta.com/docs docs 66 14.1× 617
https://www.marqeta.com/blog/why-transaction-matching-matters-and-what-99-6-accuracy-means-for-your
Why transaction matching matters | Marqeta
blog 65 46.5× 1218
https://www.marqeta.com/blog/how-payments-infrastructure-is-becoming-a-strategic-asset
How Payments Infrastructure Is Becoming a Strategic Asset | Marqeta
blog 65 71.2× 722
https://www.marqeta.com/blog/single-vs-dual-messaging-which-ways-the-right-way
Single vs Dual Transaction Messaging: Which is Best? | Marqeta
pricing 65 36.8× 1549 💰 Pricing
https://www.marqeta.com/blog/the-multi-vendor-mirage-why-the-best-of-breed-strategy-is-backfiring
The Multi-Vendor Mirage | Marqeta
pricing 65 46.1× 1215 ⚠️ RAG Fracture
https://www.marqeta.com/blog/beyond-luxury-how-bnpl-is-evolving-into-an-essential-tool-for-everyday
BNPL's Evolution: From Luxury to Everyday Tool | Marqeta
pricing 65 39.1× 1590 💰 Pricing
https://www.marqeta.com/blog/europe-vs-us-how-europe-jumped-ahead-in-embedded-finance-and-why-the-us-may
Europe vs. US: How Europe jumped ahead in embedded finance, and why the US may leapfrog next
blog 65 36.2× 1595
https://www.marqeta.com/blog/bringing-agentic-payments-to-life-with-marqetas-mcp-server
Agentic Payments and AI Commerce | Marqeta’s MCP Server
blog 65 59.5× 925
https://www.marqeta.com/blog/highlights-from-the-ftt-fintech-festival
Highlights from the FTT Fintech Festival
blog 65 59.6× 917
https://www.marqeta.com/blog/navigating-multi-currency-card-solutions
Marqeta | Multi-Currency Cards: Global Payments Without Borders
blog 65 55.0× 1018
https://www.marqeta.com/blog/card-program-clearing-and-settlement-how-issuer-processors-manage-fund-flow
Marqeta | Card Program Clearing and Settlement
blog 65 39.4× 1422
https://www.marqeta.com/blog/why-your-company-needs-a-program-manager
Why Your Company Needs a Card Program Manager for Success | Marqeta
pricing 65 46.4× 1194 💰 Pricing
https://www.marqeta.com/blog/top-trends-and-payment-opportunities-for-marketplaces-in-2025
Top trends and payment opportunities for marketplaces in 2025 | Marqeta
pricing 65 54.5× 1021 ⚠️ RAG Fracture
https://www.marqeta.com/blog/marqeta-credit-product
Behind the scenes with the Marqeta credit team
pricing 65 32.4× 1712 💰 Pricing
https://www.marqeta.com/blog/how-issuers-can-mitigate-payment-card-fraud
How issuers can mitigate payment card fraud
blog 65 62.8× 853
https://www.marqeta.com/blog/psd3-a-future-framework-for-payents-in-europe
PSD3: a future framework for payments in Europe
blog 65 55.7× 962
Showing 20 of 56 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
/blog/ 47 64 1% 61.6× Bot Blocked
/features/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 50 1% 230.0× Bot Blocked
/contact/ 1 40 1% 332.2× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 66 0% 14.1× High JS Bloat
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/marqeta.com

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

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

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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
71
Projected Score
83
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
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