meetup.com 62 C
🛡️ SEO 56 🤖 GEO 66 ⚡ Perf 34 🏗️ Arch 99

meetup.com — Global SEODiff Score 62/100

meetup.com
📊

meetup.com shows strong AI visibility with an ACRI of 75/100, outperforming 81% of indexed domains. Within the infrastructure vertical, this places meetup.com above the industry average of 57 —, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. A 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. The presence of 13 structured data blocks ensures search engines and AI agents can accurately classify and extract entities from the page. Some AI crawlers are permitted while others are blocked — a mixed robots.txt policy that limits visibility in certain AI ecosystems.

62
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (34) is your bottleneck.
🎯 Top Fix: Reduce token bloat (71×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than meetup.com?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)56 × 0.25 = 14.0
🤖 AI Readiness / GEO (40% weight)66 × 0.40 = 26.4
⚡ Performance (20% weight)34 × 0.20 = 6.8
🏗️ Architecture & Trust (15% weight)99 × 0.15 = 14.8
Weighted sum = 14.0 + 26.4 + 6.8 + 14.8
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
80
Bot Access
avg 92
99
Rendering
avg 93
52
Structure
avg 35
60
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.2%
Rank #1877
+19 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

meetup.com 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 meetup.com ranks here

Tech stackNext.js
RenderingSSR
Schema coverage13 blocks
Token bloat50×+

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

56/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

59 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

152 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.meetup.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Meetup | Find Local Groups, Events, and Activities Near You
  • ✓ og:description — Find Meetup events, join groups, or start your own. Make new friends and connect with like-minded people. Meet people near you who share your interests.
  • ✓ 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

66/100 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, plodopitomnik-sad.ru (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 →
meetup.com
58
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.ru has schema coverage of 12 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)
Blocked
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
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 52/100 — Fair
Structured Elements 125 elements (125 lists, 0 rows, 0 headers)
Total Words1562
Raw Density8.0%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks13 blocks

Schema Coverage Map

1/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

57
AI Extractability
High
Crawl Cost
Low
Blocklist Risk
Extractability57/100 — AI models can partially extract answers from this page
Crawl CostHigh (100/100) — expensive for AI crawlers to process
Blocklist RiskLow — 1 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (9.2 KB)Bloat (640.4 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context96% Optimized for Vision
Image Alt Coverage194 / 203 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 649.5 KB, but only 9.2 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) 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: 98.6% · SNR: 0.01 · Signal: 2346 / Noise: 163935 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

A local LLM (mlx-community/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of meetup.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
Find and join local groups, events, and activities
Target Audience
People looking to connect with like-minded individuals
Pricing Model
Free to use, with optional premium features
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-25 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time1193 ms
Raw HTML Size649.5 KB
Visible Text Size9.2 KB

Performance & Speed

34/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1193 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

2386
DOM nodes
650 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache, max-age=0, private, must-revalidate
  • ✗ 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

99/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.meetup.com/pro-index-sitemap.xml
  • ✓ Googlebot allowed
  • ✗ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

103
internal links
9
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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
meetup.com (this site) 58 75 Next.js 70.9× 13
meetu.ps 49 15 Next.js 71.3× 13 Compare →
boxingscene.com 57 80 Next.js 68.6× 15 Compare →
cosmopolitan.in 62 82 Next.js 72.7× 11 Compare →
guruwalk.com 58 78 Next.js 70.6× 3 Compare →
publicsexhub.com 58 81 Next.js 70.3× 2 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

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": "Meetup",
  "url": "https://meetup.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://meetup.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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: /
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 1% 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 Meetup?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Meetup does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Meetup work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Meetup."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
75
Projected Score
95
Improvement
+20 pts
Allow GPTBot +8 pts
Add WebSite schema +4 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

🧠 AI Citation Graph

How this domain is cited across the machine-readable web

1.8
AI-Trust
#1239
Global Rank
30%
Percentile
32
Inbound AI Links
0
Outbound AI Links
47
Avg Inbound ACRI
31%
Invisible Backlinks
Top AI Referrers
Domain ACRI AI-Trust Direction
uni-duesseldorf.de 74 0.0 ← cites you
hhu.de 74 0.0 ← cites you
usd.de 66 0.0 ← cites you
ebpf.io 56 0.0 ← cites you
dot.net 56 0.0 ← cites you
godoc.org 56 0.0 ← cites you
codeandsupply.co 55 0.0 ← cites you
clickhouse.com 55 0.0 ← cites you
konghq.com 54 0.0 ← cites you
dpark.io 52 0.0 ← cites you
View Full AI-Trust Leaderboard →