codat.io 76 B
🛡️ SEO 75 🤖 GEO 81 ⚡ Perf 62 🏗️ Arch 85

codat.io — Global SEODiff Score 76/100

codat.io
📊

At 77/100, the ACRI for codat.io indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the finance sector, codat.io outperforms the average (57), 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. A tight 4.1× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

76
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (62) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 6, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Feb 23 Mar 6
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than codat.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)75 × 0.25 = 18.8
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)62 × 0.20 = 12.4
🏗️ Architecture & Trust (15% weight)85 × 0.15 = 12.8
Weighted sum = 18.8 + 32.4 + 12.4 + 12.8
Global SEODiff Score = 76 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
36
Structure
avg 36
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #64629
+8 pts
Gap
AI (ACRI)
Top 14%
Score 77/100

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

Why codat.io ranks here

Tech stackWordPress
Industryfinance
RenderingSSR
Schema coverage1 blocks
Token bloat4.1×

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

75/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

56 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

106 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://codat.io/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Build deeper connections with business customers | Codat
  • ✓ og:description — Codat's business data APIs connect banks and fintechs to all of the financial systems their customers use.
  • ✓ 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

81/100 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 →
codat.io
60
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 36/100 — Low
Structured Elements 55 elements (26 lists, 20 rows, 9 headers)
Total Words1401
Raw Density3.9%
💡Low structure score (36/100). Your content appears as a wall of text with few structured HTML elements. You have 26 list items, 20 table rows, 9 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

3/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

66
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability66/100 — 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

24%
🗑️ 76%
Useful Content (20.5 KB)Bloat (64.3 KB)
Token Bloat Ratio4.1× — Lean

Multimodal Readiness

Visual Context12% Optimized for Vision
Image Alt Coverage5 / 43 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 12% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

23 Entropy
Poor Token Bloat: High
Noise Ratio: 75.8% · SNR: 0.32 · Signal: 5245 / Noise: 16458 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 codat.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
Codat simplifies financial data sharing for clients, providing actionable insights to strengthen relationships and drive deeper engagement for financial institutions.
Target Audience
Financial controllers, bank managers, fintech professionals, and business leaders in financial services.
Pricing Model
Pricing information available upon request – likely tiered based on usage and features.
🔗 Integration Partners
SlackVimeo
🏆 Competitive Moat
AI-powered sprint planning with real-time resource optimization, enabling faster feature development and improved client outcomes.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time1275 ms
Raw HTML Size84.8 KB
Visible Text Size20.5 KB

Performance & Speed

62/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1275 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

589
DOM nodes
85 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

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

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.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

85/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://codat.io/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

29
internal links
2
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 60/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for codat.io
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/codat.io" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=codat.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 53 pages · Deep-10

Homepage ACRI
60
Single-page score
+19
Subpages outperform homepage
Δ delta
Site-Wide ACRI
80
Avg across 53 pages · Range 66–85
Topical Cohesion
28%
Topical Drift
TF-IDF cosine similarity
Total Words
95795
Avg Bloat
10.7×
Page Type ACRI Token Bloat Words Status
https://codat.io/blog/how-can-us-banks-tackle-the-high-unmet-demand-for-business-credit/
How can US banks tackle the high, unmet demand for business credit? | Codat
pricing 85 8.4× 2094 💰 Pricing
https://codat.io/blog/solve-more-of-the-spend-management-problem/
Solving more of the problem in spend management
pricing 85 8.7× 2030 💰 Pricing
https://codat.io/blog/rise-of-bill-pay-neobanks-and-spend-management/
The rise of bill pay: Neobanks & spend management providers
pricing 85 8.2× 2212 💰 Pricing
https://codat.io/blog/unlocking-the-power-of-off-platform-data-for-merchant-capital/
Unlocking the power of off-platform data for merchant capital
pricing 85 8.7× 2015 💰 Pricing
https://codat.io/blog/bill-pay-blueprint-neobanks-and-spend-management-providers/
How neobanks & spend management providers can offer bill pay
pricing 85 7.4× 2468 💰 Pricing
https://codat.io/blog/building-the-must-have-integration-for-corporate-card-and-cross-border-payment-providers-just-got-easier/
Building the must-have integration for corporate card and cross-border payment providers just got easier | Codat
pricing 85 9.1× 1922 💰 Pricing
https://codat.io/blog/you-need-accounting-data-for-your-liquidity-assessments/
5 reasons you need accounting data for your liquidity assessments | Codat
pricing 85 7.0× 2683 💰 Pricing
https://codat.io/blog/win-business-banking-clients-with-great-onboarding/
Why banks need to rethink onboarding in the post-SVB era | Codat
pricing 85 7.7× 2405 💰 Pricing
https://codat.io/blog/how-banks-and-lenders-can-improve-their-cost-to-income-ratio/
How banks and lenders can improve their cost-to-income ratio | Codat
pricing 85 7.8× 2320 💰 Pricing
https://codat.io/blog/can-you-really-trust-your-customers-accounting-data/
Can you really trust your customers’ accounting data? | Codat
pricing 85 9.3× 1858 💰 Pricing
https://codat.io/blog/how-lenders-can-support-smbs-through-a-recession/
How lenders can support SMBs through a recession | Codat
pricing 85 9.3× 1804 💰 Pricing
https://codat.io/blog/how-digital-lenders-are-using-data/
How digital lenders are using data from their customers' financial software | Codat
blog 85 6.8× 2254
https://codat.io/blog/bill-pay-automation/
Bill pay automation: why your customers need it and how to build it | Codat
pricing 85 8.8× 1928 💰 Pricing
https://codat.io/blog/ipaas-software-explained/
iPaas Software Explained | Codat
pricing 85 7.8× 2323 💰 Pricing
https://codat.io/blog/what-makes-smbs-willing-to-share-data-with-financial-providers/
What makes SMBs willing to share data with financial providers? | Codat
pricing 85 7.9× 2205 💰 Pricing
https://codat.io/blog/how-to-make-sense-of-your-business-customers-loan-capacity/
How to make sense of your business customers’ loan capacity | Codat
pricing 85 8.2× 2215 💰 Pricing
https://codat.io/blog/how-banks-can-transform-credit-reviews-in-the-back-book/
How banks can transform credit reviews in the back book | Codat
pricing 85 7.8× 2266 💰 Pricing
https://codat.io/blog/how-we-built-categories/
How we built Account Categorization | Codat
pricing 85 5.4× 4464 💰 Pricing
https://codat.io/blog/codat-creates-product-advisory-board/
Codat convenes Product Advisory Board to shape the future of finance | Codat
pricing 85 9.2× 1934 💰 Pricing
https://codat.io/blog/are-your-best-customers-your-biggest-churn-risk/
Why your high-growth customers are your highest churn risk | Codat
pricing 85 8.0× 2266 💰 Pricing
Showing 20 of 53 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/ 44 82 0% 9.9× High JS Bloat
/features/ 1 72 0% 14.7× High JS Bloat
/about/ 1 72 0% 15.7× High JS Bloat
/pricing/ 1 72 0% 14.7× High JS Bloat
/products/ 1 72 0% 14.7× High JS Bloat
/case-studies/ 1 72 0% 15.8× High JS Bloat
/contact/ 1 75 0% 14.8× High JS Bloat
/faq/ 1 72 0% 14.7× High JS Bloat
/integrations/ 1 66 0% 11.5× High JS Bloat
/docs/ 1 72 0% 14.7× 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/codat.io

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

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Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

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

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 Codat?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Codat does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Codat work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Codat."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
77
Projected Score
83
Improvement
+6 pts
Reduce token bloat +3 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