popl19.sigplan.org 60 C
🛡️ SEO 45 🤖 GEO 75 ⚡ Perf 40 🏗️ Arch 71

popl19.sigplan.org — Global SEODiff Score 60/100

popl19.sigplan.org
📊

popl19.sigplan.org shows strong AI visibility with an ACRI of 75/100, outperforming 81% of indexed domains. Within the social vertical, this places popl19.sigplan.org above the industry average of 57 —, suggesting strong competitive positioning in AI search. While the majority of content is server-rendered, the 15% ghost ratio suggests some content remains hidden from static crawlers. Token bloat registers at 10.2× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

60
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (40) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 27, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)45 × 0.25 = 11.2
🤖 AI Readiness / GEO (40% weight)75 × 0.40 = 30.0
⚡ Performance (20% weight)40 × 0.20 = 8.0
🏗️ Architecture & Trust (15% weight)71 × 0.15 = 10.7
Weighted sum = 11.2 + 30.0 + 8.0 + 10.7
Global SEODiff Score = 60 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
83
Structure
avg 36
2
Schema
avg 9
50
Tech Stack
avg 63

Why popl19.sigplan.org ranks here

Tech stackCustom / Proprietary
Industrysocial
RenderingHybrid
Schema coverage1 blocks
Token bloat10.2×

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

45/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

9 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

618 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✗ HTML lang attribute
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — POPL 2019
  • ✓ og:description — Program of POPL 2019 and Co-located Events List of Papers Accepted for POPL 2019 Distinguished Papers To download (the definitive and open access version of) a POPL paper, click “Link to publication” under the paper’s title and authors. Videos of POPL 2019 talks (hosted on YouTube) are available on their event page, where slides and other supplementary material may also be available. To get to a talk’s event page, click “File Attached” or “Media Attached” under the talk’s title and authors. Welcome to the website of the 46th ACM SIGPLAN Symposium on Principles of Programming Languages ...
  • ✓ og:image — preview
  • ✗ twitter:card
📐 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

75/100 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 social sector, plodopitomnik-sad.by (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 →
popl19.sigplan.org
64
Your ACRI Score
89
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.by has schema coverage of 11 blocks and uses Express. 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 15%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 83/100 — Excellent
Structured Elements 150 elements (114 lists, 22 rows, 14 headers)
Total Words730
Raw Density20.5%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.

📐 AI Efficiency Metrics Docs

59
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability59/100 — 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

9%
🗑️ 91%
Useful Content (5.3 KB)Bloat (48.5 KB)
Token Bloat Ratio10.2× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage27 / 27 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: 90.2% · SNR: 0.11 · Signal: 1348 / Noise: 12416 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

AI-Readiness Score50/100
Servernginx/1.25.4
CDN
HTTP Status200
Load Time3898 ms
Raw HTML Size53.8 KB
Visible Text Size5.3 KB

Performance & Speed

40/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

3898 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

816
DOM nodes
54 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

71/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

128
internal links
23
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
  • ✓ 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 popl19.sigplan.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/popl19.sigplan.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=popl19.sigplan.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.

🔗 Similar social Sites

Domains with a similar tech stack, industry, and AI readiness profile to popl19.sigplan.org. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
popl19.sigplan.org (this site) 64 75 Custom / Proprietary 10.2× 1
conrad.ba 81 86 Custom / Proprietary 3.4× 2 Compare →
sport-tec.de 82 86 Custom / Proprietary 3.1× 2 Compare →
hematoonkologia.pl 85 86 Custom / Proprietary 1.5× 2 Compare →
music-city.cz 85 87 Custom / Proprietary 2.2× 4 Compare →
martin-sad.ru 87 89 Custom / Proprietary 2.1× 63 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite popl19.sigplan.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 popl19.sigplan.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": "Sigplan",
  "url": "https://popl19.sigplan.org",
  "logo": "https://popl19.sigplan.org/favicon.ico?28d37e6d7e5e12d24c39bdba0f4f3cfd",
  "sameAs": []
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 9% 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 Sigplan?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Sigplan does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Sigplan work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Sigplan."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for popl19.sigplan.org:

Current Score
75
Projected Score
89
Improvement
+14 pts
Add Organization schema +6 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