anediblemosaic.com 70 B
🛡️ SEO 67 🤖 GEO 78 ⚡ Perf 47 🏗️ Arch 86

anediblemosaic.com — Global SEODiff Score 70/100

anediblemosaic.com
📊

anediblemosaic.com achieves a 69/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Within the ecommerce vertical, this places anediblemosaic.com above the industry average of 57 —, 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. Token bloat registers at 9.5× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

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: Mar 21, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Feb 23 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)67 × 0.25 = 16.8
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 16.8 + 31.2 + 9.4 + 12.9
Global SEODiff Score = 70 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
24
Structure
avg 35
2
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 35%
Rank #345554
Aligned
Gap
AI (ACRI)
Top 36%
Score 69/100

anediblemosaic.com has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why anediblemosaic.com ranks here

Tech stackWordPress
Industryecommerce
RenderingSSR
Schema coverage1 blocks
Token bloat9.5×

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

67/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

60 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

133 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 16
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.anediblemosaic.com/
  • ✓ 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 — An Edible Mosaic™ - Everyday Fare With Extraordinary Flair
  • ✓ og:description — An Edible Mosaic is a recipe collection of international favorites and updated American classics with an emphasis on seasonal dishes.
  • ✓ 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

78/100 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 ecommerce sector, 24sevenmegastore.com (ACRI: 89) 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 →
anediblemosaic.com
52
Your ACRI Score
89
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. 24sevenmegastore.com has schema coverage of 4 blocks and uses Django. 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 24/100 — Low
Structured Elements 49 elements (49 lists, 0 rows, 0 headers)
Total Words2904
Raw Density1.7%
💡Low structure score (24/100). Your content appears as a wall of text with few structured HTML elements. You have 49 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 ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 schema types detected
❌ Organization
❌ Product/Service
✅ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡Organization schema missing. AI models cannot identify your brand entity. Without it, your brand won't appear in Knowledge Panels or be associated with your content.
💡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

43
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability43/100 — 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

10%
🗑️ 90%
Useful Content (63.2 KB)Bloat (538.9 KB)
Token Bloat Ratio9.5× — Normal

Multimodal Readiness

Visual Context97% Optimized for Vision
Image Alt Coverage70 / 72 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 89.5% · SNR: 0.12 · Signal: 16181 / Noise: 137948 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 anediblemosaic.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
An Edible Mosaic offers a collection of updated classic American recipes and international dishes, tested and approachable for home cooks
Target Audience
Home cooks, food enthusiasts, travelers, individuals interested in Middle Eastern cuisine, and those seeking accessible recipes with a cultural focus.
Pricing Model
Subscription-based; Free bonus content (10 appetizer recipes) upon email signup.
🏆 Competitive Moat
Unique blend of American and Middle Eastern culinary traditions, combined with a strong personal narrative and focus on cultural connection through food.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Recipe blogCookbook salesSocial media promotion
⚡ Key Pain Points
• Limited SEO signals beyond recipe blog and cookbook sales
• Lack of explicit monetization strategy beyond affiliate links
Analyzed by SEODiff AI · 2026-03-16

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time856 ms
Raw HTML Size602.1 KB
Visible Text Size63.2 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

856 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

2082
DOM nodes
602 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

148
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-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 52/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for anediblemosaic.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/anediblemosaic.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=anediblemosaic.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 9 pages · Deep-10

Homepage ACRI
52
Single-page score
-39
Severe hidden bloat
Δ delta
Site-Wide ACRI
13
Avg across 9 pages · Range 0–64
🔍
Hidden Bloat Detected

Homepage scores 52, but internal pages average only 13 — a -39-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
1%
Topical Drift
TF-IDF cosine similarity
Total Words
1494
Avg Bloat
49.9×
Page Type ACRI Token Bloat Words Status
https://anediblemosaic.com/about
About - An Edible Mosaic™
pricing 64 71.1× 1283 💰 Pricing
https://anediblemosaic.com/blog
New Recipes - An Edible Mosaic™
pricing 54 377.7× 211 💰 Pricing
https://anediblemosaic.com/pricing pricing 0 0.0× 0
https://anediblemosaic.com/features product 0 0.0× 0
https://anediblemosaic.com/products product 0 0.0× 0
https://anediblemosaic.com/docs docs 0 0.0× 0
https://anediblemosaic.com/case-studies social-proof 0 0.0× 0
https://anediblemosaic.com/faq support 0 0.0× 0
https://anediblemosaic.com/integrations integrations 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
/products/ 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
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 64 0% 71.1× High JS Bloat
/blog/ 1 54 0% 377.8× High JS Bloat
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 9 pages
sourdoughdiaries.com ×2
youtube.com ×2
twitter.com ×2
pinterest.com ×2
facebook.com ×2
instagram.com ×2
pixelmedesigns.com ×1
theketoqueens.com ×1
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/anediblemosaic.com

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

🔗 Similar ecommerce Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
anediblemosaic.com (this site) 52 69 WordPress 9.5× 1
hqhentai.online 77 84 WordPress 11.0× 1 Compare →
haruulala.life 77 90 WordPress 2.4× 1 Compare →
tompress.com 77 86 WordPress 3.7× 3 Compare →
e-nursingcare.com 77 84 WordPress 1.9× 0 Compare →
torre.cl 77 84 WordPress 1.8× 2 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Add Organization JSON-LD
High Impact ⏱ 5 min
AI models cannot identify your brand entity without Organization schema. This is the #1 fix for AI visibility.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Anediblemosaic",
  "url": "https://anediblemosaic.com",
  "logo": "https://www.anediblemosaic.com/wp-content/uploads//2024/05/favicon-96x96.png",
  "sameAs": []
}
</script>
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 Anediblemosaic?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Anediblemosaic does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Anediblemosaic work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Anediblemosaic."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
69
Projected Score
81
Improvement
+12 pts
Add Organization schema +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
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