ironpdf.com 61 C
🛡️ SEO 46 🤖 GEO 72 ⚡ Perf 41 🏗️ Arch 86

ironpdf.com — Global SEODiff Score 61/100

ironpdf.com
📊

With a solid 82/100 ACRI, ironpdf.com is well-positioned for AI search — better than 96% of sites in the Radar. Compared to other developer sites (avg score: 57), ironpdf.com performs above the benchmark, suggesting strong competitive positioning in AI search. The low ghost ratio (10%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. A 10.3× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (41) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 24 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 18 Content change detected
🔄 Mar 13 Content change detected
Does your site score higher than ironpdf.com?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)72 × 0.40 = 28.8
⚡ Performance (20% weight)41 × 0.20 = 8.2
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 11.5 + 28.8 + 8.2 + 12.9
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
71
Structure
avg 35
42
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #617147
-57 pts
Gap
AI (ACRI)
Top 4%
Score 82/100

ironpdf.com ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 4%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why ironpdf.com ranks here

Tech stackHubSpot CMS
Industrydeveloper
RenderingHybrid
Schema coverage1 blocks
Token bloat10.3×

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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

56 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

117 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 21
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — C# PDF Library (All-in-One .NET 10 Compatible) | IronPDF
  • ✓ og:description — IronPDF is the C# PDF Library to generate, edit, and sign PDFs in .NET 10, 9, 8, 7, 6, Standard, Core, and Framework.
  • ✓ 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

72/100 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
ironpdf.com
67
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 blocks and uses Custom / Proprietary. 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 71/100 — Good
Structured Elements 545 elements (545 lists, 0 rows, 0 headers)
Total Words3567
Raw Density15.3%

🏷️ 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

66
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability66/100 — AI models can partially 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

9%
🗑️ 91%
Useful Content (69.7 KB)Bloat (645.6 KB)
Token Bloat Ratio10.3× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage206 / 206 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: 90.3% · SNR: 0.11 · Signal: 17837 / Noise: 165281 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 ironpdf.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
Iron Software provides customer support and technical assistance to users, including trial and licensed users, with a focus on fostering
Target Audience
Technical support users, trial users, licensed users, potential customers seeking pre-purchase assistance
Pricing Model
Free 30-day trial, paid licenses from $1,498
🔗 Integration Partners
Nuget
🏆 Competitive Moat
Dedicated engineering support team providing assistance throughout the entire user lifecycle.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Trial form submissionLicense scheduling
⚡ Key Pain Points
• Lack of structured FAQ schema
Analyzed by SEODiff AI · 2026-03-28

🔧 Tech Stack

FrameworkHubSpot CMS
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time508 ms
Raw HTML Size715.3 KB
Visible Text Size69.7 KB

Performance & Speed

41/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

508 ms
Acceptable — room for improvement

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

📦 Page Weight

3340
DOM nodes
715 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=3600
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

2
tracker scripts
2
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.comjs.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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://ironpdf.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

214
internal links
258
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 67/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

� Deep Crawl Analysis 10 pages · Deep-10

Homepage ACRI
67
Single-page score
-42
Severe hidden bloat
Δ delta
Site-Wide ACRI
26
Avg across 10 pages · Range 0–64
🔍
Hidden Bloat Detected

Homepage scores 67, but internal pages average only 26 — a -42-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
8%
Topical Drift
TF-IDF cosine similarity
Total Words
6100
Avg Bloat
39.8×
Page Type ACRI Token Bloat Words Status
https://ironpdf.com/features
Features | IronPDF
pricing 64 124.2× 952 💰 Pricing
https://ironpdf.com/blog
IronPDF Blog: Tutorials & Products Comparison Articles
pricing 64 72.1× 1835 💰 Pricing
https://ironpdf.com/docs
How To Generate & Edit PDFs in C# and VB.NET | IronPDF
pricing 64 54.1× 2752 💰 Pricing
https://ironpdf.com/contact
Iron Software Purchasing Journey | IronSoftware.com
pricing 64 147.8× 561 💰 Pricing
https://ironpdf.com/pricing pricing 0 0.0× 0
https://ironpdf.com/about about 0 0.0× 0
https://ironpdf.com/products product 0 0.0× 0
https://ironpdf.com/case-studies social-proof 0 0.0× 0
https://ironpdf.com/faq support 0 0.0× 0
https://ironpdf.com/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/contact/ 1 64 0% 147.8× High JS Bloat
/features/ 1 64 0% 124.2× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 64 0% 72.1× High JS Bloat
/docs/ 1 64 0% 54.1× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
linkedin.com ×4
github.com ×4
youtube.com ×4
hub.ironsoftware.com ×4
x.com ×4
help.ironsoftware.com ×4
facebook.com ×4
nuget.org ×3
🔄 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/ironpdf.com

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
ironpdf.com (this site) 67 82 HubSpot CMS 10.3× 1
xn--80aefbvrodbz.xn--p1ai 83 90 WordPress 7.7× 1 Compare →
jitterbit.net 82 88 WordPress 2.7× 1 Compare →
lode777true.com 86 95 Cloudflare Pages 4.7× 1 Compare →
fastpng.com 84 90 WordPress 3.9× 2 Compare →
furunavi.jp 82 90 WordPress 3.9× 3 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite ironpdf.com 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 ironpdf.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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

Projected Impact

ROI EST.

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

Current Score
82
Projected Score
90
Improvement
+8 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
🔍 Found indexing issues?
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