francfranc.com 60 C
🛡️ SEO 30 🤖 GEO 69 ⚡ Perf 54 🏗️ Arch 95

francfranc.com — Global SEODiff Score 60/100

francfranc.com
📊

With an ACRI of 88/100, francfranc.com stands out as one of the highest-performing sites in AI search visibility, outranking 99% of its peers. Compared to other infrastructure sites (avg score: 57), francfranc.com performs above the benchmark, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A 23.2× 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 2 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.

60
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (30) is your bottleneck.
🎯 Top Fix: Reduce token bloat (23×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 7 Mar 21
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than francfranc.com?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)30 × 0.25 = 7.5
🤖 AI Readiness / GEO (40% weight)69 × 0.40 = 27.6
⚡ Performance (20% weight)54 × 0.20 = 10.8
🏗️ Architecture & Trust (15% weight)95 × 0.15 = 14.2
Weighted sum = 7.5 + 27.6 + 10.8 + 14.2
Global SEODiff Score = 60 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
100
Structure
avg 35
44
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #70174
-6 pts
Gap
AI (ACRI)
Top 1%
Score 88/100

francfranc.com is more visible to Google than to AI models. There's room to improve AI discoverability to match your search reputation. ACRI measures technical crawler readiness. Read the methodology →

Why francfranc.com ranks here

Tech stackNext.js
RenderingSSR
Schema coverage2 blocks
Token bloat23.2×

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

30/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

101 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

316 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 13
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://francfranc.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ja
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — 【公式】Francfranc (フランフラン) オンラインストア | インテリア・家具通販
  • ✓ og:description — Francfranc(フランフラン)は家具、インテリア雑貨を通して多彩なデザインと自由なスタイリングで心地よい毎日を提案するインテリアショップです。オンライン限定販売の商品もございます。公式オンライン通販サイトはこちらから。
  • ✓ 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

69/100 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 →
francfranc.com
66
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 449 elements (449 lists, 0 rows, 0 headers)
Total Words521
Raw Density86.2%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

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

70
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability70/100 — AI models can easily extract answers from this page
Crawl CostHigh (95/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

4%
🗑️ 96%
Useful Content (105.9 KB)Bloat (2351.5 KB)
Token Bloat Ratio23.2× — Heavy

Multimodal Readiness

Visual Context70% Optimized for Vision
Image Alt Coverage55 / 79 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 2457.4 KB, but only 105.9 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (23.2×) 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: 95.7% · SNR: 0.05 · Signal: 27111 / Noise: 601991 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 francfranc.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
Francfranc offers an online store for furniture and interior decor, promoting comfortable living through design.
Target Audience
Homeowners, interior design enthusiasts, furniture shoppers
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Focus on curated selection and online-only sales
📊 Content Depth
5/10
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time664 ms
Raw HTML Size2457.4 KB
Visible Text Size105.9 KB

Performance & Speed

54/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

664 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1454
DOM nodes
2457 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✓ 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

95/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

389
internal links
8
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 → ja
  • ✓ 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 66/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for francfranc.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/francfranc.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=francfranc.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 8 pages · Deep-10

Homepage ACRI
66
Single-page score
-64
Severe hidden bloat
Δ delta
Site-Wide ACRI
2
Avg across 8 pages · Range 0–10
🔍
Hidden Bloat Detected

Homepage scores 66, but internal pages average only 2 — a -64-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
58
Avg Bloat
21.0×
Page Type ACRI Token Bloat Words Status
https://francfranc.com/blogs/article/two-seater-sofa_recomand
Something went wrong
blog 10 84.1× 29
https://francfranc.com/products
Something went wrong
product 10 84.1× 29
https://francfranc.com/api docs 0 0.0× 0
https://francfranc.com/guides blog 0 0.0× 0
https://francfranc.com/about about 0 0.0× 0
https://francfranc.com/resources blog 0 0.0× 0
https://francfranc.com/demo conversion 0 0.0× 0
https://francfranc.com/case-studies social-proof 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/resources/ 1 0 0% 0.0× Low AI Readiness
/api/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 10 1% 84.1× Bot Blocked
/blogs/ 1 10 1% 84.1× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/guides/ 1 0 0% 0.0× Low AI Readiness
/demo/ 1 0 0% 0.0× Low AI Readiness
🔄 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/francfranc.com

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
francfranc.com (this site) 66 88 Next.js 23.2× 2
driphydration.com 86 95 WordPress 1.9× 2 Compare →
profitserver.net 86 90 WordPress 3.8× 2 Compare →
grupocasalima.com 87 96 WordPress 11.4× 5 Compare →
symbolonly.com 86 89 Cloudflare Pages 2.4× 3 Compare →
insuranceyet.com 86 87 Custom / Proprietary 4.9× 4 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite francfranc.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 francfranc.com. 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 4% 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 Francfranc?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Francfranc does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Francfranc work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Francfranc."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
88
Projected Score
96
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
🔍 Found indexing issues?
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