mida-app.io 58 D
🛡️ SEO 63 🤖 GEO 64 ⚡ Perf 29 🏗️ Arch 72

mida-app.io — Global SEODiff Score 58/100

mida-app.io
📊

At 78/100, the ACRI for mida-app.io indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places mida-app.io above the industry average of 57 —, suggesting strong competitive positioning in AI search. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The bloated 27.7× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

58
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (29) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (28×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 5 Mar 21
🔔 Recent AI Indexing Activity
📉 Mar 21 ACRI -1 (56→55)
📈 Mar 16 ACRI +1 (55→56)
Does your site score higher than mida-app.io?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)63 × 0.25 = 15.8
🤖 AI Readiness / GEO (40% weight)64 × 0.40 = 25.6
⚡ Performance (20% weight)29 × 0.20 = 5.8
🏗️ Architecture & Trust (15% weight)72 × 0.15 = 10.8
Weighted sum = 15.8 + 25.6 + 5.8 + 10.8
Global SEODiff Score = 58 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
39
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 9%
Rank #91193
Aligned
Gap
AI (ACRI)
Top 12%
Score 78/100

mida-app.io has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why mida-app.io ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat27.7×

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

63/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

91 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

214 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://mida-app.io/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — MIDA: The Only Conversion Heatmap for Shopify | Ecommerce Recording & Full-Funnel Analytics
  • ✓ og:description — MIDA shows you exactly why shoppers don’t convert. Get real heatmaps, session replay, funnel analytics, and survey insights to uncover friction, improve UX, and boost Shopify conversions with data you can act on.
  • ✓ 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 →
mida-app.io
55
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 39/100 — Low
Structured Elements 51 elements (51 lists, 0 rows, 0 headers)
Total Words1126
Raw Density4.5%
💡Low structure score (39/100). Your content appears as a wall of text with few structured HTML elements. You have 51 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

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

51
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability51/100 — 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

3%
🗑️ 97%
Useful Content (20.4 KB)Bloat (545.2 KB)
Token Bloat Ratio27.7× — Heavy

Multimodal Readiness

Visual Context36% Optimized for Vision
Image Alt Coverage20 / 56 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 565.6 KB, but only 20.4 KB is text. 3% useful / 97% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (27.7×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 36% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 96.4% · SNR: 0.04 · Signal: 5224 / Noise: 139567 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 mida-app.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
Mida provides Shopify-specific ecommerce analytics and session replay, focusing on identifying and fixing cart abandonment and checkout issues to increase revenue.
Target Audience
Shopify store owners, ecommerce managers, and marketing teams seeking to improve conversion rates and reduce cart abandonment.
Pricing Model
Freemium, with paid tiers ranging from $29 to $99 per month, based on monthly revenue.
🔗 Integration Partners
Shopify
🏆 Competitive Moat
Shopify-native analytics with AI-powered insights and proactive recommendations for improving user experience and conversion rates.
📊 Content Depth
9/10
🔄 Programmatic SEO Signals
Comparison pageTemplate-generated pages
⚡ Key Pain Points
• Session recording reliability issues (missed sessions, lag)
• Heatmaps lacking scroll depth information
• Data inaccuracies in general website analytics
• Complex and overwhelming interface
• Lack of actionable guidance from automated insights
• Subscription billing and management issues (hidden charges, confusing states)
Analyzed by SEODiff AI · 2026-03-05

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time2462 ms
Raw HTML Size565.6 KB
Visible Text Size20.4 KB

Performance & Speed

29/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2462 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1038
DOM nodes
566 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 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

72/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

48
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-US
  • ✓ 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 55/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for mida-app.io
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/mida-app.io" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=mida-app.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 49 pages · Deep-10

Homepage ACRI
55
Single-page score
+6
Consistent readability
Δ delta
Site-Wide ACRI
62
Avg across 49 pages · Range 0–85
Topical Cohesion
19%
Topical Drift
TF-IDF cosine similarity
Total Words
81272
Avg Bloat
53.5×
RAG Fractures [?]
10
⚠️
10 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 10 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://mida-app.io/blog/mida-vs-lucky-orange/
Mida vs Lucky Orange: Which Tool Delivers Better Results?
pricing 85 8.1× 3196 💰 Pricing
https://mida-app.io/blog/microsoft-clarity-alternatives/
10 Best Microsoft Clarity Alternatives for eCommerce Stores in 2026
pricing 85 9.7× 2790 ⚠️ RAG Fracture
https://mida-app.io/blog/lucky-orange-alternatives/
10 Best Lucky Orange Alternatives for Conversion Optimization in 2026
pricing 85 9.8× 2542 ⚠️ RAG Fracture
https://mida-app.io/blog/mida-vs-crazy-egg/
Mida vs Crazy Egg: Which Tool Delivers Better Results for Shopify Stores?
pricing 85 6.5× 4183 💰 Pricing
https://mida-app.io/blog/mida-vs-heatmap/
Mida vs Heatmap.com: Which Tool Delivers Better Results for Shopify Merchants?
pricing 85 7.3× 3561 💰 Pricing
https://mida-app.io/blog/click-maps/
Click Maps: What They Are and How They Work
pricing 85 9.5× 2597 💰 Pricing
https://mida-app.io/blog/what-is-session-replay/
What is Session Replay? Key Benefits and Use Cases Explained
blog 85 9.5× 2775
https://mida-app.io/blog/how-to-optimize-shopify-checkout/
How To Optimize Shopify Checkout Using Behavior Analytics (2026)
pricing 85 9.1× 3012 💰 Pricing
https://mida-app.io/blog/how-to-reduce-shopify-bounce-rate/
How to Reduce Shopify Bounce Rate in 2026: 12 Proven Strategies
pricing 85 8.6× 3027 💰 Pricing
https://mida-app.io/blog/best-session-replay-tools/
Best 7 Session Replay Tools: Complete Comparison for 2026
pricing 85 9.7× 2700 💰 Pricing
https://mida-app.io/blog/mouseflow-alternatives/
7 Best Mouseflow Alternatives for 2026: Features and Pricing Compared
pricing 85 9.9× 2540 ⚠️ RAG Fracture
https://mida-app.io/blog/scroll-map/
What Are Scroll Maps and How to Use Them for Better Conversions
blog 85 10.0× 2486
https://mida-app.io/blog/mida-vs-hotjar/
Mida vs Hotjar: Which Tool Delivers Better Results for Shopify Merchants?
pricing 85 7.9× 3337 💰 Pricing
https://mida-app.io/blog/crazy-egg-alternatives/
10 Best Crazy Egg Alternatives for Heatmaps and Session Replay in 2026
pricing 85 9.8× 2588 ⚠️ RAG Fracture
https://mida-app.io/blog/heatmap-analysis/
Heatmap Analysis: 10 Best Practices for Better Insights
pricing 85 8.7× 3100 💰 Pricing
https://mida-app.io/blog/shopify-analytics-apps/
Top 12 Shopify Analytics Apps to Use in 2026
pricing 85 9.1× 2833 💰 Pricing
https://mida-app.io/blog/best-shopify-heatmap-apps/
Best Shopify Heatmap Apps: 12 Tools Tested for Performance in 2026
pricing 85 7.3× 3791 💰 Pricing
https://mida-app.io/blog/what-is-a-heatmap/
What Is a Heatmap? Definition, Types, and Use Cases
pricing 85 9.6× 2681 💰 Pricing
https://mida-app.io/blog/mida-vs-microsoft-clarity/
Mida vs Microsoft Clarity: Complete Feature Comparison for Online Stores
pricing 85 8.4× 2964 ⚠️ RAG Fracture
https://mida-app.io/blog/lucky-orange-vs-clarity/
Lucky Orange vs Microsoft Clarity: 2026 Comparison – Features, Pricing, and Shopify Insights
pricing 75 11.4× 2301 ⚠️ RAG Fracture
Showing 20 of 49 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/ 38 75 0% 43.7× High JS Bloat
/pricing/ 2 64 0% 59.6× High JS Bloat
/case-study/ 1 59 0% 843.2× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 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
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 49 pages
docs.mida-app.io ×41
apps.shopify.com ×41
linkedin.com ×41
youtube.com ×41
bsscommerce.com ×41
go.crisp.chat ×41
admin.shopify.com ×3
baymard.com ×3
🔄 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/mida-app.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 mida-app.io. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
mida-app.io (this site) 55 78 WordPress 27.7× 1
home.edweb.net 80 88 WordPress 4.1× 1 Compare →
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📊 Semantic Share of Voice

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

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 3% 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 Mida-app?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Mida-app does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Mida-app work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Mida-app."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
78
Projected Score
86
Improvement
+8 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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