felix.net 78 B
🛡️ SEO 73 🤖 GEO 82 ⚡ Perf 59 🏗️ Arch 100

felix.net — Global SEODiff Score 78/100

felix.net
📊

felix.net shows strong AI visibility with an ACRI of 79/100, outperforming 91% of indexed domains. Compared to other infrastructure sites (avg score: 57), felix.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. Token bloat registers at 6.3× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. The site includes 3 schema blocks, providing adequate structured data for basic entity recognition. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

78
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (59) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 17, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 1 Mar 17
🔔 Recent AI Indexing Activity
🔄 Mar 12 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)73 × 0.25 = 18.2
🤖 AI Readiness / GEO (40% weight)82 × 0.40 = 32.8
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 18.2 + 32.8 + 11.8 + 15.0
Global SEODiff Score = 78 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
34
Structure
avg 35
86
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 26%
Rank #261755
-17 pts
Gap
AI (ACRI)
Top 9%
Score 79/100

felix.net ranks much higher on Google (Tranco Top 26%) than in AI search (Top 9%). 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 felix.net ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage3 blocks
Token bloat6.3×

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

73/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

48 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

156 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 1
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.felix.net
  • ✓ 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 — Felix | Vendor Management & Procurement Software
  • ✓ og:description — Felix delivers leading vendor management & procurement software built for complex supply chains. Unify data, compliance & sourcing workflows – book a demo
  • ✓ 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

82/100 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 →
felix.net
62
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)
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 34/100 — Low
Structured Elements 41 elements (41 lists, 0 rows, 0 headers)
Total Words1149
Raw Density3.6%
💡Low structure score (34/100). Your content appears as a wall of text with few structured HTML elements. You have 41 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 ✅ Present
Total Schema Blocks3 blocks

Schema Coverage Map

4/7 schema types detected
✅ Organization
✅ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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
Low
Crawl Cost
None
Blocklist Risk
Extractability72/100 — AI models can easily extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

15%
🗑️ 85%
Useful Content (25.3 KB)Bloat (133.9 KB)
Token Bloat Ratio6.3× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage66 / 66 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: 84.1% · SNR: 0.19 · Signal: 6489 / Noise: 34274 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 felix.net 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
Felix is vendor management and procurement software designed to streamline supply chains for construction, mining, and related industries, fostering better vendor relationships and profitable outcomes.
Target Audience
Construction companies, mining operations, government agencies, utility companies, public infrastructure projects, and property developers.
Pricing Model
Not specified - likely tiered based on user count and features.
🔗 Integration Partners
Integrations and APIs
🛡️ Compliance Standards
SOC 2 Type 2ISO/IEC 27001:2013GDPR
🏆 Competitive Moat
Comprehensive vendor relationship management and sourcing capabilities, combined with a focus on sustainable and profitable outcomes.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integrations and APIs
⚡ Key Pain Points
• Manual processes
• Paper trails
• Complex sourcing
Analyzed by SEODiff AI · 2026-03-12

🔧 Tech Stack

AI-Readiness Score50/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time548 ms
Raw HTML Size159.2 KB
Visible Text Size25.3 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

548 ms
Acceptable — room for improvement

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

📦 Page Weight

1093
DOM nodes
159 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → s-maxage=36000, max-age=5
  • ✗ CDN cache status
  • ✓ 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.felix.net/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

75
internal links
4
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 62/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for felix.net
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/felix.net" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=felix.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
62
Single-page score
-38
Severe hidden bloat
Δ delta
Site-Wide ACRI
25
Avg across 10 pages · Range 0–69
🔍
Hidden Bloat Detected

Homepage scores 62, but internal pages average only 25 — a -38-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
1%
Topical Drift
TF-IDF cosine similarity
Total Words
1852
Avg Bloat
18.0×
RAG Fractures [?]
1
⚠️
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://felix.net/about
About Felix | Vendor Management & Procurement Software
pricing 69 43.8× 637 💰 Pricing
https://felix.net/blog
Felix Blog | Procurement Industry News & Insights
pricing 67 29.2× 571 💰 Pricing
https://felix.net/integrations
Felix API & integrations for seamless data transfer | Felix
pricing 59 45.6× 272 💰 Pricing
https://felix.net/contact
Contact Us | Felix Vendor Management
pricing 54 61.4× 372 ⚠️ RAG Fracture
https://felix.net/pricing pricing 0 0.0× 0
https://felix.net/products product 0 0.0× 0
https://felix.net/features product 0 0.0× 0
https://felix.net/docs docs 0 0.0× 0
https://felix.net/case-studies social-proof 0 0.0× 0
https://felix.net/faq support 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
/about/ 1 69 0% 43.8× High JS Bloat
/blog/ 1 67 0% 29.2× High JS Bloat
/integrations/ 1 59 0% 45.6× High JS Bloat
/contact/ 1 54 0% 61.4× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
investorhub.felix.net ×4
twitter.com ×4
marketplace.felix.net ×4
facebook.com ×4
linkedin.com ×4
capterra.com ×4
auth.felix.net ×4
help.felix.net ×1
🔄 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/felix.net

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
felix.net (this site) 62 79 Custom / Proprietary 6.3× 3
melbourneschool.com 86 87 Custom / Proprietary 5.0× 4 Compare →
pubsandclubs.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
insuranceyet.com 86 87 Custom / Proprietary 4.9× 4 Compare →
kondela.hu 86 93 Custom / Proprietary 3.1× 4 Compare →
kruizinga.nl 87 93 Custom / Proprietary 3.0× 5 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
79
Projected Score
85
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
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