nngroup.com 69 C
🛡️ SEO 48 🤖 GEO 77 ⚡ Perf 74 🏗️ Arch 74

nngroup.com — Global SEODiff Score 69/100

nngroup.com
📊

With a 60/100 ACRI, nngroup.com has a moderate AI visibility profile — functional but not yet optimized for AI crawlers. Within the infrastructure vertical, this places nngroup.com above the industry average of 57 —, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. A 5.7× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. The site allows access to some AI bots but restricts others, creating an uneven visibility profile across AI-powered services.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (48) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 30 snapshots
Feb 22 Mar 21
🔔 Recent AI Indexing Activity
📉 Mar 21 ACRI -1 (52→51)
🔄 Mar 18 Content change detected
🔄 Mar 15 Content change detected
🔄 Mar 10 Content change detected
Does your site score higher than nngroup.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)48 × 0.25 = 12.0
🤖 AI Readiness / GEO (40% weight)77 × 0.40 = 30.8
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)74 × 0.15 = 11.1
Weighted sum = 12.0 + 30.8 + 14.8 + 11.1
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
60
Bot Access
avg 92
99
Rendering
avg 93
60
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.8%
Rank #7809
+52 pts
Gap
AI (ACRI)
Top 52%
Score 60/100

nngroup.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 nngroup.com ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat5.7×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

48/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

65 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

155 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 10
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ 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 — Nielsen Norman Group: UX Training, Consulting, & Research
  • ✓ og:description — A leader in the user experience field, NN/g conducts groundbreaking research, trains and certifies UX practitioners, and provides UX consulting to clients.
  • ✓ 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

77/100 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 →
nngroup.com
51
Your ACRI Score
90
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.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Blocked
Google-Extended
Blocked
Googlebot
Allowed

👻 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 60/100 — Good
Structured Elements 74 elements (74 lists, 0 rows, 0 headers)
Total Words689
Raw Density10.7%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

60
AI Extractability
Low
Crawl Cost
Medium
Blocklist Risk
Extractability60/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskMedium — 2 of 5 AI crawlers blocked

Token Bloat Research

17%
🗑️ 83%
Useful Content (17.7 KB)Bloat (83.3 KB)
Token Bloat Ratio5.7× — Normal

Multimodal Readiness

Visual Context64% Optimized for Vision
Image Alt Coverage7 / 11 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: 82.4% · SNR: 0.21 · Signal: 4542 / Noise: 21326 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 nngroup.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
The company analyzes user behavior and website content to provide actionable recommendations for improving corporate website About Us sections, focusing
Target Audience
Marketing managers, UX designers, content strategists, and website developers involved in corporate website design and management.
Pricing Model
Research reports and guidelines are offered as a single purchase, with potential for subscription-based access to a growing library of resources and ongoing research.
🏆 Competitive Moat
Deep user research and a decade of experience analyzing corporate website content, resulting in a comprehensive and actionable set of guidelines for building trust and transparency.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Guideline-based content targeting search queries related to ‘About Us page optimization’ and ‘corporate website transparency’Case studies featuring successful examples of authentic About Us sections (e.g., Zappos)
⚡ Key Pain Points
• Lack of clear and authentic communication on corporate websites
• User skepticism towards corporate messaging and stock imagery
• Difficulty in establishing trust and credibility with potential customers and employees
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

AI-Readiness Score50/100
ServerSucuri/Cloudproxy
CDN
HTTP Status200
Load Time531 ms
Raw HTML Size101.0 KB
Visible Text Size17.7 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

531 ms
Acceptable — room for improvement

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

📦 Page Weight

631
DOM nodes
101 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=14400
  • ✗ 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
luckyorange.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

74/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

61
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
  • ✓ 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 51/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for nngroup.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/nngroup.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=nngroup.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 1010 pages · Deep-10

Homepage ACRI
51
Single-page score
+26
Subpages outperform homepage
Δ delta
Site-Wide ACRI
77
Avg across 1010 pages · Range 0–90
Topical Cohesion
11%
Topical Drift
TF-IDF cosine similarity
Total Words
2201008
Avg Bloat
11.9×
RAG Fractures [?]
1003
⚠️
1003 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 1003 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.nngroup.com/articles/cloud-storage/
Mental Models for Cloud-Storage Systems - NN/G
pricing 90 5.0× 5483 ⚠️ RAG Fracture
https://www.nngroup.com/articles/nielsen-norman-group-20-years/
Nielsen Norman Group: 20 Years - NN/G
pricing 90 5.0× 5998 ⚠️ RAG Fracture
https://www.nngroup.com/articles/intelligent-assistant-usability/
Intelligent Assistants Have Poor Usability: A User Study of Alexa, Google Assistant, and Siri - NN/G
pricing 90 4.6× 6285 ⚠️ RAG Fracture
https://www.nngroup.com/articles/indicators-validations-notifications/
Indicators, Validations, and Notifications: Pick the Correct Communication Option - NN/G
pricing 85 9.2× 2575 ⚠️ RAG Fracture
https://www.nngroup.com/articles/face-recognition-pay/
Case Study of Facial-Recognition Payment in China - NN/G
pricing 85 6.3× 4178 ⚠️ RAG Fracture
https://www.nngroup.com/articles/research-methods-glossary/
UX Research Methods: Glossary - NN/G
pricing 85 8.1× 3296 ⚠️ RAG Fracture
https://www.nngroup.com/articles/rewriting-content-brevity/
Rewriting Digital Content for Brevity - NN/G
blog 85 9.9× 2331 ⚠️ RAG Fracture
https://www.nngroup.com/articles/resumes-ux-students-and-graduates/
Effective Resumes for UX Students and Graduates - NN/G
pricing 85 7.9× 3251 ⚠️ RAG Fracture
https://www.nngroup.com/articles/ux-product-managers-overlap/
UXers and Product Managers Both Say Others Intrude on Their Work - NN/G
blog 85 8.5× 2948 ⚠️ RAG Fracture
https://www.nngroup.com/articles/diverse-models-ecom/
Models Matter: A Case for Using Diverse Models on Ecommerce Websites - NN/G
pricing 85 9.5× 2505 ⚠️ RAG Fracture
https://www.nngroup.com/articles/surface-duo/
Multitasking on Microsoft’s Surface Duo - NN/G
pricing 85 7.8× 3038 ⚠️ RAG Fracture
https://www.nngroup.com/articles/ux-roadmaps-faq/
UX Roadmaps: Who, When, and How Much Time? - NN/G
blog 85 9.4× 2542 ⚠️ RAG Fracture
https://www.nngroup.com/articles/products-with-multiple-variants/
Design Guidelines for Selling Products with Multiple Variants - NN/G
blog 85 7.9× 3164 ⚠️ RAG Fracture
https://www.nngroup.com/articles/why-international-usability-testing/
International Usability Testing: Why You Need It - NN/G
pricing 85 8.6× 2832 ⚠️ RAG Fracture
https://www.nngroup.com/articles/omnichannel-collaboration/
Collaboration in the Omnichannel Experience - NN/G
pricing 85 9.2× 2668 ⚠️ RAG Fracture
https://www.nngroup.com/articles/measuring-perceived-usability/
Beyond the NPS: Measuring Perceived Usability with the SUS, NASA-TLX, and the Single Ease Question After Tasks and Usability Tests - NN/G
blog 85 9.1× 2678 ⚠️ RAG Fracture
https://www.nngroup.com/articles/pm-ux-different-views-of-responsibilities/
PM and UX Have Markedly Different Views of Their Job Responsibilities - NN/G
blog 85 5.7× 5056 ⚠️ RAG Fracture
https://www.nngroup.com/articles/iphone-x/
iPhone X: The Rise of Gestures - NN/G
pricing 85 7.5× 3200 ⚠️ RAG Fracture
https://www.nngroup.com/articles/100-years-ux/
A 100-Year View of User Experience (by Jakob Nielsen) - NN/G
blog 85 9.8× 2396 ⚠️ RAG Fracture
https://www.nngroup.com/articles/ux-prototype-hi-lo-fidelity/
UX Prototypes: Low Fidelity vs. High Fidelity - NN/G
pricing 85 8.6× 2878 ⚠️ RAG Fracture
Showing 20 of 100 pages. Unlock full subpage table →
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/articles/ 500 82 0% 9.4× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 1010 pages
x.com ×1003
bsky.app ×1003
linkedin.com ×1003
youtube.com ×1003
instagram.com ×1003
podcasters.spotify.com ×1003
threads.com ×1003
facebook.com ×1003
🔄 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/nngroup.com

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
nngroup.com (this site) 51 60 Custom / Proprietary 5.7× 0
rus-lang.ru 76 80 Custom / Proprietary 2.9× 0 Compare →
toysrus.co.jp 76 80 Custom / Proprietary 2.8× 0 Compare →
ursmu.ru 76 80 Custom / Proprietary 2.4× 0 Compare →
effektlageret.dk 76 80 Custom / Proprietary 1.8× 0 Compare →
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📊 Semantic Share of Voice

How often would an AI cite nngroup.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…

🎭

Bait & Switch Delta

A 15 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

54
Homepage ACRI
62
Inner Avg ACRI
-8
ACRI Delta
40%
Homepage Ghost
26%
Inner Avg Ghost
0
Drift Score [?]
Worst Inner Pages
54 40% blog https://www.nngroup.com/articles/guide-ux-research-methods/
46 40% pricing https://nngroup.com/docs
54 40% blog https://www.nngroup.com/articles/top-guides-2025/
🛡️

E-E-A-T Trust Signals

D 25/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
Named leadership: Kate Moran, Sara Paul, Anna Kaley
🔗

Citation Profile

10 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

133
Total Links
10
Unique Domains
8.9
Avg/Page
8%
Diversity
bsky.app threads.com youtube.com linkedin.com instagram.com x.com facebook.com podcasters.spotify.com twitter.com docs.google.com
🏘️ Outbound Neighborhood Trust Avg Trust: 69.7

AI trust scores for the domains nngroup.com links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to nngroup.com. 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": "Nngroup",
  "url": "https://nngroup.com",
  "logo": "https://media.nngroup.com/static/img/favicon.ico",
  "sameAs": []
}
</script>
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": "Nngroup",
  "url": "https://nngroup.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://nngroup.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Nngroup?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Nngroup does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Nngroup work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Nngroup."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
60
Projected Score
76
Improvement
+16 pts
Add Organization schema +6 pts
Add WebSite schema +4 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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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