migdal.co.il 53 D
🛡️ SEO 47 🤖 GEO 62 ⚡ Perf 24 🏗️ Arch 80

migdal.co.il — Global SEODiff Score 53/100

migdal.co.il
📊

With a solid 74/100 ACRI, migdal.co.il is well-positioned for AI search — better than 78% of sites in the Radar. Compared to other developer sites (avg score: 57), migdal.co.il performs above the benchmark, 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. A 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Structured data coverage is solid at 3 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

53
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (24) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (148×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 3, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Feb 23 Mar 3
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than migdal.co.il?
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)47 × 0.25 = 11.8
🤖 AI Readiness / GEO (40% weight)62 × 0.40 = 24.8
⚡ Performance (20% weight)24 × 0.20 = 4.8
🏗️ Architecture & Trust (15% weight)80 × 0.15 = 12.0
Weighted sum = 11.8 + 24.8 + 4.8 + 12.0
Global SEODiff Score = 53 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
35
Structure
avg 36
46
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #69498
+16 pts
Gap
AI (ACRI)
Top 22%
Score 74/100

migdal.co.il 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 migdal.co.il ranks here

Tech stackWix
Industrydeveloper
RenderingHybrid
Schema coverage3 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

47/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

72 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

239 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 31
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — מגדל: השקעות, ביטוח, פנסיה, גמל, ופיננסים
  • ✓ og:description — מגדל חברה לביטוח מעמידה לרשותכם מגוון פתרונות בתחומי הביטוח, הפנסיה והחיסכון האישי - ביטוח בריאות, חיים, נסיעות לחו"ל, רכב, דירה ועוד
  • ✗ og:image
  • ✓ 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

62/100 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
migdal.co.il
51
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 blocks and uses Custom / Proprietary. 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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 35/100 — Low
Structured Elements 46 elements (46 lists, 0 rows, 0 headers)
Total Words1270
Raw Density3.6%
💡Low structure score (35/100). Your content appears as a wall of text with few structured HTML elements. You have 46 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 Blocks3 blocks

Schema Coverage Map

2/7 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.

📐 AI Efficiency Metrics Docs

47
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability47/100 — AI models can partially extract answers from this page
Crawl CostHigh (100/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (29.4 KB)Bloat (4333.8 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context22% Optimized for Vision
Image Alt Coverage6 / 27 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 4363.2 KB, but only 29.4 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.
💡Only 22% 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: 99.3% · SNR: 0.01 · Signal: 7531 / Noise: 1109450 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of migdal.co.il 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
Makedal is a financial services company offering retirement plans, insurance, and investment solutions for individuals and businesses in Israel. It
Target Audience
Individuals seeking retirement savings, business owners looking for employee benefits, and independent workers planning for their future financial security.
Pricing Model
Variable, based on the chosen products and services offered by Makedal, including fees for investment plans and insurance policies.
🛡️ Compliance Standards
GDPR
🏆 Competitive Moat
Comprehensive suite of financial products and services tailored to the Israeli market, combined with personalized guidance and support for retirement planning.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Template comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-03 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkWix
AI-Readiness Score55/100
ServerPepyaka
CDN
HTTP Status200
Load Time1527 ms
Raw HTML Size4363.2 KB
Visible Text Size29.4 KB

Performance & Speed

24/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1527 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

6933
DOM nodes
4363 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → private,max-age=0,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

80/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://migdal.co.il/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

195
internal links
18
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 51/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for migdal.co.il
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/migdal.co.il" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=migdal.co.il" 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 52 pages · Deep-10

Homepage ACRI
51
Single-page score
+16
Subpages outperform homepage
Δ delta
Site-Wide ACRI
67
Avg across 52 pages · Range 49–69
Total Words
44713
Avg Bloat
1184.6×
RAG Fractures [?]
52
⚠️
52 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 52 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.migdal.co.il/articles/what-will-you-get
המשמעות הכספית של חיסכון פנסיוני, עכשיו ובעתיד - מגדל
pricing 69 1138.3× 659 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/generative-ai
איך תשפיע מהפכת הבינה המלאכותית על שוק ההשקעות?
pricing 69 577.0× 1400 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/paid-policy-a
מה זה פוליסה מסולקת? – מגדל
pricing 69 921.5× 871 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/pension-for-self-employed
דאגו לעצמכם: פנסיה לעצמאים עם הכנסה לכל החיים - מגדל
pricing 69 695.9× 1138 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/pausing-your-insurance
הקפאת או השבתת ביטוח רכב עקב מכירה או לנוסעים לחו"ל - מגדל
pricing 69 586.8× 1439 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/business
ביטוח לעסק - מגדל
pricing 69 1060.1× 721 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/high-tech
מה הקשר בין הקטר ההייטק לנדל"ן משרדי? - מגדל
pricing 69 627.1× 1205 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/health-care-importance
לא לשכוח את הריסק: למה ביטוח חיים הוא הכרחי - מגדל
pricing 69 1015.4× 759 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/mixed-or-classic-policy
פוליסה מעורבת /קלאסית – מגדל
pricing 69 1481.6× 510 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/choosing-beneficiaries
בחירת מוטבים בפוליסת הביטוח - מגדל
pricing 69 986.8× 765 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/migdal-investment-provident-fund
הכירו את "מגדל גמל להשקעה" - הדור הבא של קופות הגמל   - מגדל
pricing 69 895.5× 842 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/choosing-a-savings-plan
איך לבחור תכנית חיסכון - מגדל
pricing 69 911.8× 825 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/supplementary-to-pension
מהו ביטוח חיים משלים לפנסיה | מגדל
pricing 69 464.4× 1682 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/national-health-care-law
חוק ביטוח בריאות ממלכתי - מגדל
pricing 69 957.4× 794 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/electra
מגדל משקיעה במקבצי דיור בארה"ב
pricing 69 804.9× 995 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/how-to-prepare-for-a-test
הכנה לטסט לרכב - טיפים שיחסכו לכם זמן יקר וכסף - מגדל
pricing 69 663.7× 1140 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/do-you-need-a-third-party-insurance
ביטוח צד ג' לרכב: מה זה, מי צריך את זה, ומה הוא מכסה? - מגדל
pricing 69 441.9× 1725 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/car-protection
מיגון לרכב - כל מה שאתם צריכים לדעת - מגדל
pricing 69 726.9× 1037 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/advantages-for-self-employed
קרן פנסיה לעצמאים - מגדל
pricing 69 1139.3× 660 ⚠️ RAG Fracture
https://www.migdal.co.il/articles/home_insurance_price
כמה עולה ביטוח דירה - מה משפיע על מחיר הפוליסה - מגדל
pricing 69 546.5× 1391 ⚠️ RAG Fracture
Showing 20 of 52 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
/articles/ 49 68 0% 980.1× High JS Bloat
/about/ 1 59 0% 1756.0× High JS Bloat
/blog/ 1 56 0% 680.1× High JS Bloat
/contact/ 1 49 0% 11137.0× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 52 pages
linkedin.com ×52
migdalholdings.co.il ×52
facebook.com ×52
my.migdal.co.il ×52
instagram.com ×52
youtube.com ×52
clarity.co.il ×52
migdalcustomers.onelink.me ×52
🔄 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/migdal.co.il

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 migdal.co.il. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
migdal.co.il (this site) 51 74 Wix 148.3× 3
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source.android.com 76 85 Custom / Proprietary 4.4× 3 Compare →
oodles.io 76 83 WordPress 2.6× 4 Compare →
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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for migdal.co.il:

Current Score
74
Projected Score
82
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