mx.com 68 C
🛡️ SEO 58 🤖 GEO 65 ⚡ Perf 68 🏗️ Arch 92

mx.com — Global SEODiff Score 68/100

mx.com
📊

At 76/100, the ACRI for mx.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the finance sector, mx.com outperforms the average (57), suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. 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.

68
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (58) is your bottleneck.
🎯 Top Fix: Reduce token bloat (53×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 6, 2026 · 📋 API
Does your site score higher than mx.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)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)65 × 0.40 = 26.0
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)92 × 0.15 = 13.8
Weighted sum = 14.5 + 26.0 + 13.6 + 13.8
Global SEODiff Score = 68 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
70
Structure
avg 36
2
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #57108
+11 pts
Gap
AI (ACRI)
Top 16%
Score 76/100

mx.com shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why mx.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

25 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

144 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.mx.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — MX: Turn Data into Growth
  • ✓ og:description — MX helps financial providers connect, analyze, engage with, and act on consumer-permissioned data to drive growth and create better experiences.
  • ✓ 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

65/100 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, bbkonline.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 →
mx.com
56
Your ACRI Score
82
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. bbkonline.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 70/100 — Good
Structured Elements 92 elements (92 lists, 0 rows, 0 headers)
Total Words632
Raw Density14.6%

🏷️ 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.

📐 AI Efficiency Metrics Docs

48
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability48/100 — AI models can partially extract answers from this page
Crawl CostMedium (65/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (4.4 KB)Bloat (230.6 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context94% Optimized for Vision
Image Alt Coverage31 / 33 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 235.0 KB, but only 4.4 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: 98.1% · SNR: 0.02 · Signal: 1126 / Noise: 59043 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 mx.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
This SaaS platform helps financial institutions and fintechs overcome challenges like a legacy mindset, build vs. buy complexities, and a
Target Audience
Financial institutions (banks, credit unions), fintech companies, executives, and consultants involved in digital transformation and partnership strategy.
Pricing Model
Content-based; likely subscription-based with tiered access to research reports and guides (details not specified).
🏆 Competitive Moat
AI-powered analysis of industry trends and a deep understanding of financial services, combined with a focus on strategic partnership guidance.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Template comparison pagesIntegration directory pages
⚡ Key Pain Points
• Legacy mindset
• Broken approach to build vs. buy
• Not knowing your customers
• Data paralysis
• Poor digital banking
• Lack of data for decision making
• Friction in connecting accounts
• Ability to scale quickly
• Flexible technology solutions
• Engaging products
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
ServerAmazonS3
CDN
HTTP Status200
Load Time727 ms
Raw HTML Size235.0 KB
Visible Text Size4.4 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

727 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

719
DOM nodes
235 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

92/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

116
internal links
6
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 56/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for mx.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/mx.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=mx.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 62 pages · Deep-10

Homepage ACRI
56
Single-page score
+4
Consistent readability
Δ delta
Site-Wide ACRI
60
Avg across 62 pages · Range 33–72
Topical Cohesion
15%
Topical Drift
TF-IDF cosine similarity
Total Words
59161
Avg Bloat
51.2×
Page Type ACRI Token Bloat Words Status
https://www.mx.com/blog/10-debate-highlights-ron-shevlin-vs-jim-marous-on-2021-challenges/
10 Challenges Facing Financial Institutions and Fintechs
blog 72 13.8× 2541
https://www.mx.com/blog/8-ways-banking-will-change-forever-due-to-covid/
8 Ways Banking Will Change Forever Due to COVID-19 | Infographic
pricing 72 13.8× 2301 💰 Pricing
https://www.mx.com/blog/70-comments-three-common-themes-the-cfpb-rfi-around-consumer-access-to-financial-records-draws-the-battle-lines/
CFPB RFI Around Consumer Access To Financial Records Draws The Battle Lines Between FIs And Aggregators
blog 69 18.2× 1740
https://www.mx.com/blog/7-ways-theo-epstein-used-data-leadership-and-culture-to-revolutionize-baseball/
7 Ways Theo Epstein Revolutionize Baseball with Data
pricing 69 17.7× 1736 💰 Pricing
https://www.mx.com/blog/7-key-takeaways-from-matthew-mcconaugheys-book-greenlights/
7 Takeaways from Matthew McConaughey and Greenlights | MX Visionaries
pricing 69 17.3× 1857 💰 Pricing
https://www.mx.com/blog/10-lessons-from-form-free-around-data-partnerships-and-disruptive-lending/
FormFree on Data, Partnerships, & Disruptive Lending | MX Blog
pricing 69 19.9× 1532 💰 Pricing
https://www.mx.com/blog/4-essential-pillars-of-successful-local-marketing-for-banks-credit-unions/
4 Pillars of Successful Local Marketing for Banks & Credit Unions
pricing 69 14.3× 2404 💰 Pricing
https://www.mx.com/blog/5-design-tips-every-bank-should-use-to-outsmart-the-competition/
5 Design Tips Every Bank Should Use to Outsmart the Competition
blog 69 19.3× 1533
https://www.mx.com/blog/5-ways-technology-can-help-financial-institutions-create-inclusivity/
5 Ways Technology Can Help Financial Institutions Create Inclusivity
pricing 69 18.4× 1758 💰 Pricing
https://www.mx.com/blog/10-steps-to-ease-your-financial-stress/
10 Steps for Consumers to Ease Financial Stress
pricing 64 25.5× 1163 💰 Pricing
https://www.mx.com/blog/account-opening-stats/
Account Opening Stats and Research | MX
blog 64 28.7× 1087
https://www.mx.com/blog/a-list-of-personal-financial-management-pfm-providers-in-the-united-states/
Top PFM Providers and Personal Financial Management Solutions
pricing 64 31.4× 967 💰 Pricing
https://www.mx.com/blog/a-list-of-financial-data-aggregators-in-the-united-states/
Top Financial Data Aggregators in the United States
pricing 64 24.4× 1290 💰 Pricing
https://www.mx.com/blog/6-open-finance-insights-for-bankers-and-fintech-developers/
6 Open Finance Insights for Financial Providers
blog 64 25.5× 1186
https://www.mx.com/blog/5-ways-financial-institutions-can-be-true-digital-advocates-for-millennials/
5 Ways Financial Institutions Can Advocate for Millennials
pricing 64 27.7× 1081 💰 Pricing
https://www.mx.com/blog/3-key-data-and-connectivity-insights-from-the-mx-product-forum/
3 Key Data and Connectivity Insights from 2021 MX Product Forum
pricing 64 20.3× 1573 💰 Pricing
https://www.mx.com/blog/3-reasons-banks-can-t-afford-to-stall-innovation-during-an-merger-and-acquisition/
3 Reasons Banks Can’t Afford to Stall Innovation During M&A
blog 64 23.2× 1287
https://www.mx.com/blog/ai-in-financial-services/
AI in Financial Services: MX Response to OSTP RFI
pricing 64 32.1× 909 💰 Pricing
https://www.mx.com/blog/16-businesses-stepping-up-and-leaning-in-amid-covid/
Businesses Stepping Up and Leaning In Amid COVID-19
pricing 64 28.3× 1077 💰 Pricing
https://www.mx.com/blog/2018-banking-trends-what-you-should-expect-to-see/
2018 Banking Trends: What You Should Expect to See
pricing 64 26.8× 1123 💰 Pricing
Showing 20 of 62 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/ 57 62 0% 40.3× High JS Bloat
/features/ 1 51 1% 128.7× Bot Blocked
/docs/ 1 46 0% 46.1× High JS Bloat
/case-studies/ 1 43 1% 147.0× Bot Blocked
/contact/ 1 33 1% 183.1× Bot Blocked
/access/ 1 33 1% 372.7× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 62 pages
status.mx.com ×62
dashboard.mx.com ×62
support.mx.com ×62
github.com ×62
twitter.com ×62
linkedin.com ×62
docs.mx.com ×61
forbes.com ×7
🔄 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/mx.com

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

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📊 Semantic Share of Voice

How often would an AI cite mx.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 mx.com. 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": "Mx",
  "url": "https://mx.com",
  "logo": "https://assets.mx.com/favicons/apple-touch-icon.png",
  "sameAs": []
}
</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 Mx?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Mx does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Mx work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Mx."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
76
Projected Score
90
Improvement
+14 pts
Add Organization schema +6 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