What is collectchat.help.center's AI readiness score?

collectchat.help.center scores 66/100 on SEODiff's AI-Readiness Index, placing it in the Moderate range. The ACRI (AI-Crawler Reality Index) score is 40/100 (Grade D).

What tech stack does collectchat.help.center use?

collectchat.help.center uses Express as its primary framework with a 30% ghost ratio (Hybrid rendering).

Is collectchat.help.center visible to AI crawlers like ChatGPT?

GPTBot access: Allowed. ClaudeBot access: Allowed. collectchat.help.center has 1 structured data blocks and a token bloat ratio of 405.9x.

collectchat.help.center SEO & AI Readiness Score: 46/100 (D) — Full Technical Audit

📊

With a solid 66/100 ACRI, collectchat.help.center is well-positioned for AI search — better than 57% of sites in the Radar. Compared to other infrastructure sites (avg score: 57), collectchat.help.center performs above the benchmark, suggesting strong competitive positioning in AI search. A ghost ratio of 30% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. Heavy markup overhead (50.0× bloat) forces AI systems to wade through excess code before finding useful information. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

D — Global SEODiff Score

Comprehensive search visibility assessment

Below average — Traditional SEO (32) has the most room for improvement.

🎯 Top Fix: Reduce token bloat (406×) → +5–10 pts

🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API

📈 ACRI Trend 3 snapshots

Feb 27 Mar 20

🔔 Recent AI Indexing Activity

🔄 Feb 27 Content change detected

Does your site score higher than collectchat.help.center?

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🧮 Score Transparency — How is this calculated?

🛡️ Traditional SEO (25% weight)32 × 0.25 = 8.0

🤖 AI Readiness / GEO (40% weight)45 × 0.40 = 18.0

⚡ Performance (20% weight)51 × 0.20 = 10.2

🏗️ Architecture & Trust (15% weight)66 × 0.15 = 9.9

Weighted sum = 8.0 + 18.0 + 10.2 + 9.9

Global SEODiff Score = 46 (D)

📊 ACRI Sub-Scores (AI Readiness Detail)

100

Bot Access

avg 92

Rendering

avg 93

Structure

avg 35

Schema

avg 9

Tech Stack

avg 63

Why collectchat.help.center ranks here

Tech stackExpress

Industryinfrastructure

RenderingHybrid

Schema coverage1 blocks

Token bloat50×+

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…

Overview 🛡️ SEO 🤖 GEO ⚡ Perf 🏗️ Arch Remediation Export

See other Express sites → infrastructure industry → Full leaderboard → Domain A–Z →

🛡️

Traditional SEO

32/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

24 chars

Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

187 chars

Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

✗ Exactly 1 <h1> tag — found 0
✓ Has <h2> headings — found 3
✗ <h2> not before <h1>

🔍 Indexability

✓ Canonical tag present → https://collect.chat/help/
✓ 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 — Collect.chat Help Center
✓ og:description — Search our chatbot documentation for any help with Collect.chat’s chatbots for website. Collect.chat team is ready to assist you with any bug and trouble you may face with our chatbots.
✓ 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

45/100 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 →

collectchat.help.center

Your ACRI Score

→

safely.co.jp

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.

👻

Shadow Content Detected: 30% of your page token budget is in non-rendered regions (JavaScript-dependent content that AI crawlers may not process). Combined with 405.9x token bloat, AI models are using most of their context window on noise instead of your real content. This dramatically increases hallucination probability — models fill the gap with made-up facts.

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 30%

0% — Safe 50% 100% — Risk

Status Server-Side Rendered (Safe)

Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 48/100 — Fair

Structured Elements 17 elements (17 lists, 0 rows, 0 headers)

Total Words243

Raw Density7.0%

🏷️ 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

AI Extractability

High

Crawl Cost

None

Blocklist Risk

Extractability36/100 — AI models can barely extract answers from this page

Crawl CostHigh (100/100) — expensive for AI crawlers to process

Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

🗑️ 99%

Useful Content (1.9 KB)Bloat (756.0 KB)

Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context100% Optimized for Vision

Image Alt Coverage12 / 12 images have alt text

TDM Rights

TDM-Reservation HeaderNot set

X-Robots-Tag: noaiNot set

💡Your HTML is 757.9 KB, but only 1.9 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: 99.8% · SNR: 0.00 · Signal: 478 / Noise: 193543 tokens

Run Full Entropy Audit →

🔬 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

FrameworkExpress

AI-Readiness Score55/100

Servercloudflare

CDNcloudflare

HTTP Status200

Load Time1162 ms

Raw HTML Size757.9 KB

Visible Text Size1.9 KB

⚡

Performance & Speed

51/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1162 ms

Slow — bots may time out or deprioritise

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

📦 Page Weight

188
DOM nodes

758 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

66/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

19
internal links

3
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 40/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

Pending Audit — score below 80 threshold

<a href="https://seodiff.io/radar/domains/collectchat.help.center" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=collectchat.help.center" alt="AI-Verified by SEODiff" width="280" height="52"></a>

[![AI-Verified by SEODiff](https://seodiff.io/api/v1/badge?domain=collectchat.help.center)](https://seodiff.io/radar/domains/collectchat.help.center)

💡 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 collectchat.help.center. Compare side-by-side.

Domain	ACRI	AI Score	Tech Stack	Token Bloat	Schema
collectchat.help.center (this site)	40	66	Express	405.9×	1	—
national-preservation.com	65	73	Express	5.2×	1	Compare →
mywed.com	65	78	Express	7.9×	0	Compare →
oppo-lab.jp	65	77	Custom / Proprietary	3.5×	1	Compare →
messe-ticket.de	65	80	WordPress	8.2×	1	Compare →
rahepaydar.ir	65	76	WordPress	10.9×	1	Compare →

Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite collectchat.help.center 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 collectchat.help.center. 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": "Center",
  "url": "https://collectchat.help.center",
  "logo": 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  "sameAs": []
}
</script>

Reduce Token Bloat

Medium Impact ⏱ 1–2 hrs

Only 0% 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 Center?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Center does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Center work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Center."
      }
    }
  ]
}
</script>

📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for collectchat.help.center:

Current Score

Projected Score

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).

📄 Generate llms.txt 📊 Export JSON Data 📸 Download Visual

All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).

Is this your company?

Monitor your AI visibility score weekly and get alerted when changes happen.

Start Free →

🧭 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

Orphans & Hubs

Deep Audit sections

Content Quality

Thin/duplicate tracking

Open My Site report → Open Self-Diffing incidents → Open History timeline →

🕒 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

Why collectchat.help.center ranks here

Fastest improvements

JavaScript Rendering Check

Traditional SEO

📝 Title Tag

📋 Meta Description

🔤 Heading Hierarchy

🔍 Indexability

🌐 Social / OpenGraph

AI Readiness / GEO

Citation Alternatives

Hallucination Risk

Hallucination Risk Assessment

🤖 Bot Access Matrix

👻 Rendering (Ghost Ratio) Docs

📊 Structure & Information Density Docs

🏷️ Schema Health Docs

Schema Coverage Map

📐 AI Efficiency Metrics Docs

Token Bloat Research

Multimodal Readiness

TDM Rights

🔥 Structural Entropy Check Research

🔬 AI-Crawler Simulation

📐 Semantic Structure

🧩 Content Chunks

🤖 What Each Bot Sees

AI Answer Preview

🔧 Tech Stack

Performance & Speed

⏱️ Time to First Byte

📦 Page Weight

🗄️ Cache & CDN

🔬 Tracker Tax

Architecture & Trust

🗺️ Sitemap & Robots

🔗 Linking

🔒 Security & Trust

♿ Accessibility Signals

🏅 AI-Verified Trust Badge

🔗 Similar infrastructure Sites

📊 Semantic Share of Voice

Remediation Patches

Projected Impact

📧 Get your full report data

📋 Data Export

Is this your company?

🧭 Self-Diffing (Private Layer)

🕒 History

📚 Research & Documentation