konghq.com 62 C
🛡️ SEO 68 🤖 GEO 64 ⚡ Perf 47 🏗️ Arch 67
Radar → Domains → konghq.com

konghq.com — Global SEODiff Score 62/100

konghq.com
📊

The AI-Readiness profile for konghq.com is strong: an ACRI of 75/100 places it ahead of 81% of domains in the index. In the finance sector, konghq.com outperforms the average (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. The bloated 35.5× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Structured data coverage is solid at 3 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

62
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
🎯 Top Fix: Reduce token bloat (36×) → +5–10 pts
68
🛡️ Traditional SEO
64
🤖 AI Readiness
47
⚡ Performance
67
🏗️ Architecture
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than konghq.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)68 × 0.25 = 17.0
🤖 AI Readiness / GEO (40% weight)64 × 0.40 = 25.6
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)67 × 0.15 = 10.0
Weighted sum = 17.0 + 25.6 + 9.4 + 10.0
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
33
Structure
avg 35
46
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #12554
+18 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

konghq.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 konghq.com ranks here

Tech stackNext.js
Industryfinance
RenderingSSR
Schema coverage3 blocks
Token bloat35.5×

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…
See other Next.js sites → finance industry → Full leaderboard → Domain A–Z →
🛡️

Traditional SEO

68/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

52 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

163 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 4
  • ✓ Has <h2> headings — found 13
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — The API Platform Powering the API World
  • ✗ og:description
  • ✗ og:image
  • ✗ 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

64/100 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 finance sector, unlimit.com (ACRI: 82) 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 →
konghq.com
54
Your ACRI Score
→
unlimit.com
82
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. unlimit.com has schema coverage of 1 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)
Allowed
✅
Google-Extended
Allowed
✅
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 33/100 — Low
Structured Elements 53 elements (53 lists, 0 rows, 0 headers)
Total Words1627
Raw Density3.3%
💡Low structure score (33/100). Your content appears as a wall of text with few structured HTML elements. You have 53 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks3 blocks

Schema Coverage Map

3/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

49
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability49/100 — 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

2%
🗑️ 98%
Useful Content (10.6 KB)Bloat (365.7 KB)
Token Bloat Ratio35.5× — Bloated

Multimodal Readiness

Visual Context5% Optimized for Vision
Image Alt Coverage1 / 22 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 376.3 KB, but only 10.6 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (35.5×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 5% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 97.2% · SNR: 0.03 · Signal: 2710 / Noise: 93630 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

FrameworkNext.js
AI-Readiness Score70/100
Server—
CDN—
HTTP Status200
Load Time1244 ms
Raw HTML Size376.3 KB
Visible Text Size10.6 KB
⚡

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1244 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1013
DOM nodes
376 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, s-maxage=300, max-age=60, stale-while-revalidate=600, stale-if-error=900
  • ✗ 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

67/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

80
internal links
10
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 54/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for konghq.com
Pending Audit — score below 80 threshold 
<a href="https://seodiff.io/radar/domains/konghq.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=konghq.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 6 pages · Deep-10

Homepage ACRI
54
Single-page score
-11
Moderate hidden bloat
Δ delta
Site-Wide ACRI
44
Avg across 6 pages · Range 27–63
🔍
Hidden Bloat Detected

Homepage scores 54, but internal pages average only 44 — a -11-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
3361
Avg Bloat
2156.9×
RAG Fractures
1
Ext. Citations
17
⚠️
1 RAG-Chunking Fracture Detected

Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://konghq.com/blog
Latest Blogs for API Insights and Ideas | Kong Inc.
 pricing 63 39.6× 1143 💰 Pricing
https://konghq.com/pricing
Kong API Gateway Cost and API Platform Pricing | Kong Inc.
 pricing 58 35.3× 1837 ⚠️ RAG Fracture
https://konghq.com/about
About Us: Powering the API World | Kong Inc.
 pricing 38 197.4× 183 💰 Pricing
https://konghq.com/case-studies
Reports | Kong Inc.
 pricing 38 278.4× 118 💰 Pricing
https://konghq.com/contact
Contact Us | Kong Inc.
 pricing 37 370.7× 78 💰 Pricing
https://konghq.com/products
Kong Inc.
 pricing 27 12020.0× 2 💰 Pricing
🔗
Outbound External Citations
17 unique external domains cited across 6 pages
kuma.io ×6
trust.konghq.com ×6
github.com ×6
youtube.com ×6
x.com ×6
linkedin.com ×6
insomnia.rest ×6
meetup.com ×6
🔄 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/konghq.com

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

🔗 Similar finance Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
konghq.com (this site) 54 75 Next.js 35.5× 3 —
mashape.com 54 75 Next.js 35.5× 3 Compare →
elearnmarkets.com 54 71 Next.js 36.5× 3 Compare →
tickertape.in 57 76 Next.js 35.3× 4 Compare →
one.app 54 77 Next.js 35.9× 5 Compare →
onepay.com 54 77 Next.js 35.9× 5 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

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

Current Score
75
Projected Score
83
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).

📄 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?

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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
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

📚 Research & Documentation

🔬
The Science of ACRI
Methodology behind the AI-Crawler Reality Index scoring model.
🚨
Hallucination Risk Study
How poor crawl access increases AI fabrication rates by 3.5×.
🔥
Structural Entropy Paper
The median web page wastes 55% of tokens on noise. Here's the data.
🧪
Extraction Lab Paper
Causal evidence that semantic HTML structure increases AI extraction accuracy.
📖
Documentation Hub
Metrics definitions, fix guides, and API reference for CI/CD integration.
🛠️
Free Tools
llms.txt generator, hallucination checker, entropy audit, and more.