pandadoc.net 72 B
🛡️ SEO 64 🤖 GEO 86 ⚡ Perf 57 🏗️ Arch 66

pandadoc.net — Global SEODiff Score 72/100

pandadoc.net
📊

With a solid 83/100 ACRI, pandadoc.net is well-positioned for AI search — better than 97% of sites in the Radar. Compared to other healthcare sites (avg score: 57), pandadoc.net performs above the benchmark, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A 7.4× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. 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.

72
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (57) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)86 × 0.40 = 34.4
⚡ Performance (20% weight)57 × 0.20 = 11.4
🏗️ Architecture & Trust (15% weight)66 × 0.15 = 9.9
Weighted sum = 16.0 + 34.4 + 11.4 + 9.9
Global SEODiff Score = 72 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
78
Structure
avg 35
42
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 21%
Rank #208494
-17 pts
Gap
AI (ACRI)
Top 3%
Score 83/100

pandadoc.net ranks much higher on Google (Tranco Top 21%) than in AI search (Top 3%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why pandadoc.net ranks here

Tech stackHubSpot CMS
Industryhealthcare
RenderingHybrid
Schema coverage1 blocks
Token bloat7.4×

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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

59 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 2
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
  • ✓ og:description — PandaDoc streamlines proposals, quotes & other business document workflows - Trusted by 50K+ Clients - SOC 2, HIPAA & GDPR Compliant!
  • ✓ 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

86/100 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 healthcare sector, adelaideaccountant.com (ACRI: 86) 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 →
pandadoc.net
70
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. adelaideaccountant.com has schema coverage of 4 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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 78/100 — Good
Structured Elements 264 elements (264 lists, 0 rows, 0 headers)
Total Words1444
Raw Density18.3%

🏷️ Schema Health Docs

Organization Schema ✅ Present
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
💡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

72
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability72/100 — AI models can easily 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

13%
🗑️ 87%
Useful Content (122.1 KB)Bloat (786.3 KB)
Token Bloat Ratio7.4× — Normal

Multimodal Readiness

Visual Context69% Optimized for Vision
Image Alt Coverage22 / 32 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: 86.6% · SNR: 0.16 · Signal: 31261 / Noise: 201291 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

FrameworkHubSpot CMS
AI-Readiness Score70/100
Servernginx
CDN
HTTP Status200
Load Time449 ms
Raw HTML Size908.4 KB
Visible Text Size122.1 KB

Performance & Speed

57/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

449 ms
Acceptable — room for improvement

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

📦 Page Weight

2370
DOM nodes
908 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=604800, public
  • ✗ 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
js.hs-scripts.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

66/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

0
internal links
308
external links
Very few internal links — crawlers may miss important pages

🔒 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 70/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
70
Single-page score
-6
Moderate hidden bloat
Δ delta
Site-Wide ACRI
64
Avg across 10 pages · Range 64–64
Total Words
7260
Avg Bloat
256.3×
RAG Fractures
10
Ext. Citations
16
⚠️
10 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 10 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://pandadoc.net/pricing
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/about
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/products
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/features
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/docs
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/blog
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/case-studies
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/integrations
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/contact
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
https://pandadoc.net/faq
PandaDoc – Create, Approve, Track & eSign Docs 40% Faster
pricing 64 256.3× 726 ⚠️ RAG Fracture
🔗
Outbound External Citations
16 unique external domains cited across 10 pages
instagram.com ×10
status.pandadoc.com ×10
play.google.com ×10
developers.pandadoc.com ×10
youtube.com ×10
twitter.com ×10
learn.pandadoc.com ×10
signup.pandadoc.com ×10
🔄 Re-Crawl & Update 📡 Track this Domain

Scores update automatically each month. Create a free account for on-demand re-crawls (3/month free).

🔌 API Access

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

curl https://seodiff.io/api/v1/deep10/domain/pandadoc.net

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

🔗 Similar healthcare Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
pandadoc.net (this site) 70 83 HubSpot CMS 7.4× 1
pandadoc.com 70 83 HubSpot CMS 7.4× 1 Compare →
thoracic.org 71 81 HubSpot CMS 5.2× 1 Compare →
insightsassociation.org 64 81 HubSpot CMS 7.7× 1 Compare →
greenlight.guru 65 81 HubSpot CMS 6.2× 1 Compare →
vigilance.ca 65 85 HubSpot CMS 4.2× 1 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for pandadoc.net:

Current Score
83
Projected Score
89
Improvement
+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