bitbucket.org 63 C
🛡️ SEO 56 🤖 GEO 65 ⚡ Perf 59 🏗️ Arch 76

bitbucket.org — Global SEODiff Score 63/100

bitbucket.org
📊

At 63/100, bitbucket.org falls in the moderate bracket of AI-Readiness, suggesting its content is partially accessible to AI systems but not fully optimized. Within the developer vertical, this places bitbucket.org above the industry average of 58 —, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. A 13.5× 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. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (56) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)56 × 0.25 = 14.0
🤖 AI Readiness / GEO (40% weight)65 × 0.40 = 26.0
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)76 × 0.15 = 11.4
Weighted sum = 14.0 + 26.0 + 11.8 + 11.4
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
18
Structure
avg 36
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.2%
Rank #2060
+49 pts
Gap
AI (ACRI)
Top 49%
Score 63/100

bitbucket.org 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 bitbucket.org ranks here

Tech stackCustom / Proprietary
Industrydeveloper
RenderingHybrid
Schema coverage1 blocks
Token bloat13.5×

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…
🛡️

Traditional SEO

56/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

45 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

82 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 23
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Bitbucket | Git solution for teams using Jira
  • ✓ og:description — Bitbucket Cloud is a Git-based code and CI/CD tool optimized for teams using Jira.
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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

65/100 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 →
bitbucket.org
43
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 18/100 — Poor
Structured Elements 15 elements (15 lists, 0 rows, 0 headers)
Total Words1563
Raw Density1.0%
💡Low structure score (18/100). Your content appears as a wall of text with few structured HTML elements. You have 15 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 Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.

📐 AI Efficiency Metrics Docs

38
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability38/100 — AI models can barely 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

7%
🗑️ 93%
Useful Content (13.0 KB)Bloat (162.3 KB)
Token Bloat Ratio13.5× — Normal

Multimodal Readiness

Visual Context96% Optimized for Vision
Image Alt Coverage71 / 74 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: 92.6% · SNR: 0.08 · Signal: 3315 / Noise: 41553 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 bitbucket.org 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
Bitbucket Cloud is a cloud-based Git repository management and collaboration platform integrated with Jira, designed to streamline software development workflows and improve team productivity.
Target Audience
Software developers, DevOps engineers, engineering managers, product teams, and IT operations professionals.
Pricing Model
Freemium: Free plan for up to 5 users; Standard plan at $15/user/month (1-100 users); Premium plan at $30/user/month (1-100 users). Discounts available for larger teams.
🔗 Integration Partners
JiraSnyk
🛡️ Compliance Standards
SOC 2ISOGDPR
🏆 Competitive Moat
AI-powered features (Rovo Dev) for code generation, code review, and pipeline triage, combined with deep Jira integration and a comprehensive DevOps platform.
📊 Content Depth
9/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pagesMigration documentationFeature comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
• Context switching between tools
• Complex CI/CD workflows
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-02-28 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
ServerAtlassianEdge
CDN
HTTP Status200
Load Time920 ms
Raw HTML Size175.3 KB
Visible Text Size13.0 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

920 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1077
DOM nodes
175 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=0, s-maxage=8400, stale-while-revalidate=43200, stale-if-error=43200, no-cache="Set-Cookie"
  • ✗ 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

76/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

12
internal links
56
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 43/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for bitbucket.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/bitbucket.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=bitbucket.org" 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 4 pages · Deep-10

Homepage ACRI
43
Single-page score
+1
Consistent readability
Δ delta
Site-Wide ACRI
44
Avg across 4 pages · Range 29–67
Topical Cohesion
21%
Topical Drift
TF-IDF cosine similarity
Total Words
1841
Avg Bloat
606.6×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://bitbucket.org/features
Bitbucket | Git solution for teams using Jira
pricing 67 24.6× 1457 ⚠️ RAG Fracture
https://bitbucket.org/blog
Bitbucket - Atlassian Blog
blog 44 71.8× 167
https://bitbucket.org/support
Bitbucket Cloud support | Bitbucket Cloud | Atlassian Support
support 37 162.4× 109
https://bitbucket.org/api
The Bitbucket Cloud REST API
pricing 29 2167.7× 108 ⚠️ RAG Fracture
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/blog/ 1 44 0% 71.8× High JS Bloat
/support/ 1 37 1% 162.4× Bot Blocked
/api/ 1 29 1% 2167.7× Bot Blocked
/features/ 1 67 0% 24.6× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 4 pages
atlassian.com ×4
support.atlassian.com ×2
marketplace.atlassian.com ×2
confluence.atlassian.com ×2
developer.atlassian.com ×2
community.atlassian.com ×1
facebook.com ×1
play.goconsensus.com ×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/bitbucket.org

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
bitbucket.org (this site) 43 63 Custom / Proprietary 13.5× 1
crypto.stackexchange.com 68 80 Custom / Proprietary 6.5× 1 Compare →
mathematica.stackexchange.com 68 80 Custom / Proprietary 6.5× 1 Compare →
propiolanguageservices.applytojob.com 68 84 Custom / Proprietary 4.2× 1 Compare →
yoshidashingo.com 68 72 Custom / Proprietary 1.7× 1 Compare →
tech.pepabo.com 68 80 Custom / Proprietary 2.8× 0 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to bitbucket.org. 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": "Bitbucket",
  "url": "https://bitbucket.org",
  "logo": "https://wac-cdn.atlassian.com/assets/img/favicons/bitbucket/apple-touch-icon.png",
  "sameAs": []
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 7% 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 Bitbucket?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Bitbucket does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Bitbucket work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Bitbucket."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for bitbucket.org:

Current Score
63
Projected Score
77
Improvement
+14 pts
Add Organization schema +6 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

🧠 AI Citation Graph

How this domain is cited across the machine-readable web

1.2
AI-Trust
#1391
Global Rank
21%
Percentile
15
Inbound AI Links
0
Outbound AI Links
49
Avg Inbound ACRI
13%
Invisible Backlinks
Top AI Referrers
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View Full AI-Trust Leaderboard →