axiom.co 58 D
🛡️ SEO 46 🤖 GEO 59 ⚡ Perf 52 🏗️ Arch 85

axiom.co — Global SEODiff Score 58/100

axiom.co
📊

With a solid 69/100 ACRI, axiom.co is well-positioned for AI search — better than 64% of sites in the Radar. In the developer sector, axiom.co outperforms the average (57), 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. The bloated 29.4× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

58
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (46) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (29×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
Does your site score higher than axiom.co?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)59 × 0.40 = 23.6
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)85 × 0.15 = 12.8
Weighted sum = 11.5 + 23.6 + 10.4 + 12.8
Global SEODiff Score = 58 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
37
Structure
avg 36
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 4%
Rank #36125
+33 pts
Gap
AI (ACRI)
Top 36%
Score 69/100

axiom.co 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 axiom.co ranks here

Tech stackNext.js
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat29.4×

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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

37 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

112 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Axiom — Observability, re-invented.
  • ✓ og:description — Cloud-native architecture meets built-in tracing and AI telemetry. Experience log management without compromise.
  • ✓ 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

59/100 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 →
axiom.co
45
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 37/100 — Low
Structured Elements 75 elements (75 lists, 0 rows, 0 headers)
Total Words1831
Raw Density4.1%
💡Low structure score (37/100). Your content appears as a wall of text with few structured HTML elements. You have 75 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 ❌ 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

39
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability39/100 — AI models can barely extract answers from this page
Crawl CostMedium (60/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

3%
🗑️ 97%
Useful Content (12.1 KB)Bloat (343.0 KB)
Token Bloat Ratio29.4× — Heavy

Multimodal Readiness

Visual Context94% Optimized for Vision
Image Alt Coverage231 / 247 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 355.1 KB, but only 12.1 KB is text. 3% useful / 97% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (29.4×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 96.6% · SNR: 0.04 · Signal: 3089 / Noise: 87818 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of axiom.co 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
Axiom provides a centralized platform for developers to analyze event data and gain actionable insights.
Target Audience
Developers, data analysts, product managers
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Data-driven insights and a focus on developer experience.
📊 Content Depth
6/10
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-02 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
ServerVercel
CDNvercel
HTTP Status200
Load Time547 ms
Raw HTML Size355.1 KB
Visible Text Size12.1 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

547 ms
Acceptable — room for improvement

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

📦 Page Weight

1937
DOM nodes
355 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate
  • ✗ CDN cache status
  • ✓ CDN detected → vercel

🔬 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

85/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

137
internal links
3
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 45/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for axiom.co
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/axiom.co" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=axiom.co" 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 82 pages · Deep-10

Homepage ACRI
45
Single-page score
-7
Moderate hidden bloat
Δ delta
Site-Wide ACRI
38
Avg across 82 pages · Range 33–61
Topical Cohesion
13%
Topical Drift
TF-IDF cosine similarity
Total Words
37264
Avg Bloat
106.6×
RAG Fractures [?]
82
⚠️
82 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 82 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://axiom.co/changelog
Changelog - Axiom
pricing 61 13.6× 16887 ⚠️ RAG Fracture
https://axiom.co/pricing
Pricing - Axiom
pricing 56 23.5× 2027 ⚠️ RAG Fracture
https://axiom.co/changelog/otel-semantic-conventions
Support for new versions of OpenTelemetry semantic conventions
pricing 56 30.3× 682 ⚠️ RAG Fracture
https://axiom.co/changelog/online-evaluations
Online evaluations for AI engineering
pricing 56 38.8× 527 ⚠️ RAG Fracture
https://axiom.co/changelog/metrics
Metrics builder and better parsing of GenAI attributes
pricing 56 38.2× 550 ⚠️ RAG Fracture
https://axiom.co/blog
Blog - Axiom
pricing 53 53.2× 629 ⚠️ RAG Fracture
https://axiom.co/docs
Axiom Docs
pricing 52 202.8× 502 ⚠️ RAG Fracture
https://axiom.co/changelog/canvas
Canvas and SRE skill
pricing 46 49.2× 376 ⚠️ RAG Fracture
https://axiom.co/changelog/chart-validation-feedback-filter-datasets
Better chart validation feedback and filter for datasets in dashboards
pricing 46 46.1× 418 ⚠️ RAG Fracture
https://axiom.co/changelog/edge-deployments
Unified edge deployment architecture
pricing 46 44.1× 446 ⚠️ RAG Fracture
https://axiom.co/changelog/enhanced-view-access-controls
Enhanced view access controls and more reliable PagerDuty incident resolution
pricing 46 46.4× 426 ⚠️ RAG Fracture
https://axiom.co/changelog/field-sorting
Field sorting by frequency, improved APL autocompletions, and better API token management
pricing 46 41.4× 493 ⚠️ RAG Fracture
https://axiom.co/company
About - Axiom
pricing 43 53.2× 436 ⚠️ RAG Fracture
https://axiom.co/about
About - Axiom
pricing 43 53.2× 436 ⚠️ RAG Fracture
https://axiom.co/product
Product - Axiom
pricing 43 59.4× 460 ⚠️ RAG Fracture
https://axiom.co/features
Product - Axiom
pricing 43 59.4× 460 ⚠️ RAG Fracture
https://axiom.co/solutions/observability
Solutions - Observability - Axiom
pricing 43 64.4× 423 ⚠️ RAG Fracture
https://axiom.co/solutions/ai-engineering
Solutions - AI-engineering - Axiom
pricing 43 70.9× 384 ⚠️ RAG Fracture
https://axiom.co/changelog/advanced-api-tokens
Advanced API tokens
pricing 43 86.2× 207 ⚠️ RAG Fracture
https://axiom.co/changelog/credits-spend-limit
Compute credits and spending limit
pricing 43 75.1× 240 ⚠️ RAG Fracture
Showing 20 of 82 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
/changelog/ 72 37 1% 110.0× Bot Blocked
/solutions/ 2 43 1% 67.6× Bot Blocked
/pricing/ 1 56 0% 23.5× High JS Bloat
/blog/ 1 53 1% 53.2× Bot Blocked
/company/ 1 43 1% 53.2× Bot Blocked
/product/ 1 43 1% 59.4× Bot Blocked
/contact/ 1 33 1% 178.9× Bot Blocked
/docs/ 1 52 1% 202.8× Bot Blocked
/features/ 1 43 1% 59.4× Bot Blocked
/about/ 1 43 1% 53.2× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 82 pages
linkedin.com ×82
github.com ×82
app.axiom.co ×82
twitter.com ×81
status.axiom.co ×81
trust.axiom.co ×81
play.axiom.co ×7
vector.dev ×2
🔄 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/axiom.co

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
axiom.co (this site) 45 69 Next.js 29.4× 0
agb.org 70 88 WordPress 25.2× 1 Compare →
streaming-guide.spiegel.de 70 88 WordPress 26.3× 2 Compare →
thenaturaladventure.com 70 86 WordPress 22.7× 1 Compare →
wearepay.uk 70 87 WordPress 20.8× 1 Compare →
nowtolove.com.au 70 85 WordPress 18.4× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite axiom.co 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 axiom.co. 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": "Axiom",
  "url": "https://axiom.co",
  "logo": "https://axiom.co/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": "Axiom",
  "url": "https://axiom.co",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://axiom.co/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 3% 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 Axiom?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Axiom does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Axiom work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Axiom."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for axiom.co:

Current Score
69
Projected Score
87
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 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