restaurant.org 63 C
🛡️ SEO 20 🤖 GEO 83 ⚡ Perf 65 🏗️ Arch 81

restaurant.org — Global SEODiff Score 63/100

restaurant.org
📊

The AI-Readiness profile for restaurant.org is strong: an ACRI of 73/100 places it ahead of 75% of domains in the index. Within the infrastructure vertical, this places restaurant.org above the industry average of 57 —, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The token bloat ratio sits at a lean 2.9×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (20) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 7 Mar 18
🔔 Recent AI Indexing Activity
🔄 Mar 16 Content change detected
📉 Mar 10 ACRI -1 (65→64)
Does your site score higher than restaurant.org?
Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)20 × 0.25 = 5.0
🤖 AI Readiness / GEO (40% weight)83 × 0.40 = 33.2
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)81 × 0.15 = 12.2
Weighted sum = 5.0 + 33.2 + 13.0 + 12.2
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
66
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 4%
Rank #35999
+22 pts
Gap
AI (ACRI)
Top 25%
Score 73/100

restaurant.org 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 restaurant.org ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat2.9×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

20/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

65 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

175 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 12
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — National Restaurant Association
  • ✓ og:description — At the National Restaurant Association, we strive to help every one of our members build customer loyalty, find financial success and provide rewarding careers in foodservice.
  • ✓ 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

83/100 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 →
restaurant.org
64
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 66/100 — Good
Structured Elements 172 elements (172 lists, 0 rows, 0 headers)
Total Words1299
Raw Density13.2%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 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.
💡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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

65
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability65/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

34%
🗑️ 66%
Useful Content (33.4 KB)Bloat (63.5 KB)
Token Bloat Ratio2.9× — Lean

Multimodal Readiness

Visual Context86% Optimized for Vision
Image Alt Coverage6 / 7 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

52 Entropy
Fair Token Bloat: Medium
Noise Ratio: 65.5% · SNR: 0.53 · Signal: 8552 / Noise: 16258 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 restaurant.org 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
The National Restaurant Association supports the restaurant industry by advocating for its interests and providing resources to its members, spanning
Target Audience
Restaurant owners, managers, industry professionals, hospitality educators, and policymakers involved in the restaurant and hospitality sector.
Pricing Model
Membership-based; tiered levels offering varying levels of access to resources, advocacy support, and educational programs. Details not explicitly stated.
🏆 Competitive Moat
Long-standing industry advocacy and a vast network of members provide a strong competitive advantage and influence over policy.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Template comparison pages
⚡ Key Pain Points
• Lack of explicit pricing information
• Limited details on specific advocacy services
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time676 ms
Raw HTML Size96.9 KB
Visible Text Size33.4 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

676 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1202
DOM nodes
97 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 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

81/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.restaurant.org/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

162
internal links
35
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 64/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for restaurant.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/restaurant.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=restaurant.org" 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 94 pages · Deep-10

Homepage ACRI
64
Single-page score
-22
Severe hidden bloat
Δ delta
Site-Wide ACRI
43
Avg across 94 pages · Range 0–82
🔍
Hidden Bloat Detected

Homepage scores 64, but internal pages average only 43 — a -22-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
17%
Topical Drift
TF-IDF cosine similarity
Total Words
67207
Avg Bloat
99.8×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 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.restaurant.org/education-and-resources/learning-center/workforce-engagement/restaurant-industry-job-descriptions/
Restaurant Industry Job Descriptions | National Restaurant Association
pricing 82 2.3× 24815 ⚠️ RAG Fracture
https://www.restaurant.org/education-and-resources/learning-center/food-nutrition/fda-food-traceability-rule/
FDA’s Food Traceability Rule | National Restaurant Association
pricing 77 5.7× 5559 💰 Pricing
https://www.restaurant.org/education-and-resources/learning-center/business-operations/coronavirus-information-and-resources/faq/
FAQ | National Restaurant Association
pricing 67 19.3× 952 💰 Pricing
https://www.restaurant.org/dave-s-faq-test-page/
Dave Test | FAQ Page | National Restaurant Association
support 67 18.5× 1005
https://www.restaurant.org/debbie-roberts/
Debbie Roberts | National Restaurant Association
other 67 16.7× 991
https://www.restaurant.org/about-us/who-we-are/our-history/
Who We Are | National Restaurant Association
about 67 18.3× 993
https://www.restaurant.org/amy-alarcon/
Amy Alarcon | National Restaurant Association
other 67 19.0× 861
https://www.restaurant.org/antitrust-policy/ trust 66 10.9× 11580
https://www.restaurant.org/education-and-resources/learning-center/business-operations/coronavirus-information-and-resources/reopening-and-recovery/
Reopening & Recovery | National Restaurant Association
pricing 62 24.2× 723 💰 Pricing
https://www.restaurant.org/about-us/who-we-are/faqs/
Who We Are | National Restaurant Association
about 62 21.6× 853
https://www.restaurant.org/about-us/our-partners/partnership-opportunities/
Partnership Opportunities | National Restaurant Association
about 62 24.6× 779
https://www.restaurant.org/education-and-resources/learning-center/food-nutrition/kids-live-well/
Kids LiveWell | National Restaurant Association
pricing 59 42.0× 502 💰 Pricing
https://www.restaurant.org/education-and-resources/partner-center/industry-partner-center/directv/
Business Essentials | National Restaurant Association
pricing 59 28.5× 637 ⚠️ RAG Fracture
https://www.restaurant.org/education-and-resources/learning-center/food-nutrition/kids-live-well/kids-live-well-restaurant-info/
Kids LiveWell for Restaurant Operators | National Restaurant Association
pricing 59 36.3× 548 💰 Pricing
https://www.restaurant.org/about-us/our-partners/state-restaurant-associations/
State Restaurant Associations | National Restaurant Association
about 59 29.6× 908
https://www.restaurant.org/education-and-resources/learning-center/business-operations/tech-innovation/tech-month/
Tech Campaign | National Restaurant Association
blog 59 34.8× 580
https://www.restaurant.org/about-us/careers/
Work for Us | National Restaurant Association
careers 49 59.2× 274
https://www.restaurant.org/education-and-resources/learning-center/business-operations/preparedness/
Preparedness | National Restaurant Association
pricing 49 49.7× 374 💰 Pricing
https://www.restaurant.org/education-and-resources/learning-center/business-operations/preparedness/hurricane-recovery-resources/
Hurricane recovery resources for restaurants | National Restaurant Association
pricing 49 44.4× 408 💰 Pricing
https://www.restaurant.org/education-and-resources/learning-center/business-operations/tech-innovation/
Tech & Innovation | National Restaurant Association
blog 49 41.9× 466
Showing 20 of 94 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
/education-and-resources/ 44 48 0% 84.3× High JS Bloat
/about-us/ 24 44 0% 159.2× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/covid-19-policy-for-public-affairs-conference/ 1 49 0% 34.6× High JS Bloat
/accessibility/ 1 49 0% 63.3× High JS Bloat
/andy-behr/ 1 49 0% 66.4× High JS Bloat
/covid-19-policy-for-chicago-events/ 1 49 0% 37.4× High JS Bloat
/contact/ 1 39 0% 103.6× High JS Bloat
/bruce-grindy/ 1 39 0% 91.8× High JS Bloat
/clay-hosh/ 1 39 0% 215.8× High JS Bloat
/dan-roehl/ 1 39 0% 133.8× High JS Bloat
/debbie-roberts/ 1 67 0% 16.7× High JS Bloat
/faq/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/amy-alarcon/ 1 67 0% 19.0× High JS Bloat
🔄 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/restaurant.org

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
restaurant.org (this site) 64 73 Custom / Proprietary 2.9× 0
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📊 Semantic Share of Voice

How often would an AI cite restaurant.org 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 restaurant.org. 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": "Restaurant",
  "url": "https://restaurant.org",
  "logo": "https://restaurant.org/assets/dist/images/favicons/apple-touch-icon.png",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Restaurant",
  "url": "https://restaurant.org",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://restaurant.org/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</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 Restaurant?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Restaurant does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Restaurant work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Restaurant."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for restaurant.org:

Current Score
73
Projected Score
86
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 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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