amica.it 70 B
🛡️ SEO 62 🤖 GEO 82 ⚡ Perf 47 🏗️ Arch 82

amica.it — Global SEODiff Score 70/100

amica.it
📊

amica.it scores 62/100 on the AI-Readiness Index, placing it in the middle tier of indexed domains — there is clear room for improvement. Compared to other infrastructure sites (avg score: 58), amica.it 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 5.0× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. With 4 JSON-LD schema blocks, the site provides explicit machine-readable metadata that enhances AI comprehension. With only minimal AI bot access, the domain is largely invisible to the ecosystem of AI-driven discovery tools.

70
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)62 × 0.25 = 15.5
🤖 AI Readiness / GEO (40% weight)82 × 0.40 = 32.8
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)82 × 0.15 = 12.3
Weighted sum = 15.5 + 32.8 + 9.4 + 12.3
Global SEODiff Score = 70 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
40
Bot Access
avg 92
99
Rendering
avg 93
56
Structure
avg 36
48
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #51768
+45 pts
Gap
AI (ACRI)
Top 50%
Score 62/100

amica.it 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 amica.it ranks here

Tech stackNext.js
RenderingSSR
Schema coverage4 blocks
Token bloat5.0×

Fastest improvements

  • Allow GPTBot in robots.txt so AI crawlers can access your pages (see Crawl Access).
  • 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

62/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

51 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

189 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.amica.it/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → it-IT
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Irina Shayk a Sanremo 2026 con la figlia Lea sempre nel cuore
  • ✓ og:description — Amica è la rivista che ha accompagnato, in questi cinque decenni, l’evoluzione della donna italiana. Perché la moda stessa è evoluzione, specchio del costume e delle sue trasformazioni
  • ✗ 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

82/100 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 →
amica.it
62
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)
Blocked
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Blocked
Google-Extended
Blocked
Googlebot
Allowed
💡GPTBot is blocked. To appear in ChatGPT citations, add Allow: / under User-agent: GPTBot in your robots.txt.

👻 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 56/100 — Fair
Structured Elements 107 elements (107 lists, 0 rows, 0 headers)
Total Words1122
Raw Density9.5%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks4 blocks

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

74
AI Extractability
Low
Crawl Cost
High
Blocklist Risk
Extractability74/100 — AI models can easily extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskHigh — 3 of 5 AI crawlers blocked

Token Bloat Research

20%
🗑️ 80%
Useful Content (31.5 KB)Bloat (124.5 KB)
Token Bloat Ratio5.0× — Lean

Multimodal Readiness

Visual Context37% Optimized for Vision
Image Alt Coverage25 / 68 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 37% 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: 79.8% · SNR: 0.25 · Signal: 8065 / Noise: 31874 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
Server
CDN
HTTP Status200
Load Time1376 ms
Raw HTML Size156.0 KB
Visible Text Size31.5 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1376 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

914
DOM nodes
156 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=120,public
  • ✗ 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
doubleclick.net
📐 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

82/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.amica.it/wp-sitemap.xml
  • ✓ Googlebot allowed
  • ✗ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

210
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 → it-IT
  • ✓ 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 62/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
amica.it (this site) 62 62 Next.js 5.0× 4
pubsandclubs.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
churchfind.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
insuranceyet.com 86 87 Custom / Proprietary 4.9× 4 Compare →
kondela.hu 86 93 Custom / Proprietary 3.1× 4 Compare →
decathlon.ae 85 89 Shopify 2.6× 4 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to amica.it. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Allow GPTBot in robots.txt
High Impact ⏱ 2 min
GPTBot is blocked — your content cannot appear in ChatGPT citations. Add this to your robots.txt:
text
User-agent: GPTBot
Allow: /

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for amica.it:

Current Score
62
Projected Score
76
Improvement
+14 pts
Allow GPTBot +8 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