github.com 54 D
🛡️ SEO 31 🤖 GEO 63 ⚡ Perf 47 🏗️ Arch 75

github.com — Global SEODiff Score 54/100

github.com
📊

github.com shows strong AI visibility with an ACRI of 74/100, outperforming 78% of indexed domains. Compared to other developer sites (avg score: 57), github.com performs above the benchmark, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The bloated 38.4× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

54
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (31) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (38×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Apr 3, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Feb 28 Mar 15
🔔 Recent AI Indexing Activity
🔄 Feb 28 Content change detected
🔄 Feb 28 Content change detected
Does your site score higher than github.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)31 × 0.25 = 7.8
🤖 AI Readiness / GEO (40% weight)63 × 0.40 = 25.2
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)75 × 0.15 = 11.2
Weighted sum = 7.8 + 25.2 + 9.4 + 11.2
Global SEODiff Score = 54 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
61
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63

Why github.com ranks here

Tech stackRuby on Rails
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat38.4×

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

31/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

63 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

186 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 4
  • ✓ Has <h2> headings — found 10
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — GitHub · Change is constant. GitHub keeps you ahead.
  • ✓ og:description — Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity.
  • ✓ 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

63/100 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 →
github.com
53
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 61/100 — Good
Structured Elements 138 elements (138 lists, 0 rows, 0 headers)
Total Words1218
Raw Density11.3%

🏷️ 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

46
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability46/100 — AI models can partially extract answers from this page
Crawl CostHigh (100/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

2%
🗑️ 98%
Useful Content (14.3 KB)Bloat (536.6 KB)
Token Bloat Ratio38.4× — Bloated

Multimodal Readiness

Visual Context29% Optimized for Vision
Image Alt Coverage7 / 24 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 550.9 KB, but only 14.3 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (38.4×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 29% 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: 97.4% · SNR: 0.03 · Signal: 3668 / Noise: 137374 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…

🔧 Tech Stack

FrameworkRuby on Rails
AI-Readiness Score70/100
Servergithub.com
CDN
HTTP Status200
Load Time559 ms
Raw HTML Size550.9 KB
Visible Text Size14.3 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

559 ms
Acceptable — room for improvement

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

📦 Page Weight

1938
DOM nodes
551 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=0, private, must-revalidate
  • ✗ 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

75/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

128
internal links
12
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 53/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for github.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/github.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=github.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 22 pages · Deep-10

Homepage ACRI
53
Single-page score
-4
Consistent readability
Δ delta
Site-Wide ACRI
49
Avg across 22 pages · Range 0–74
Topical Cohesion
13%
Topical Drift
TF-IDF cosine similarity
Total Words
19601
Avg Bloat
119.3×
RAG Fractures [?]
19
⚠️
19 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 19 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://github.com/terms
GitHub Terms of Service - GitHub Docs
pricing 74 7.0× 6711 ⚠️ RAG Fracture
https://github.com/blog
Home - The GitHub Blog
pricing 72 52.5× 1061 ⚠️ RAG Fracture
https://github.com/integrations
GitHub integrations · GitHub
pricing 69 99.5× 543 ⚠️ RAG Fracture
https://github.com/docs
GitHub Docs · GitHub
pricing 59 140.4× 345 ⚠️ RAG Fracture
https://github.com/pricing
Pricing · Plans for every developer · GitHub
pricing 56 28.4× 4731 ⚠️ RAG Fracture
https://github.com/features
GitHub Features · GitHub
pricing 56 74.1× 1683 ⚠️ RAG Fracture
https://github.com/case-studies
Customer stories · GitHub
pricing 56 75.5× 943 ⚠️ RAG Fracture
https://github.com/products
products (U S GIFTS 92530) · GitHub
pricing 54 163.4× 227 ⚠️ RAG Fracture
https://github.com/demo
demo (0) · GitHub
pricing 54 169.4× 217 ⚠️ RAG Fracture
https://github.com/get-started
get-started · GitHub
pricing 54 150.6× 255 ⚠️ RAG Fracture
https://github.com/faq
Faq (Faq) · GitHub
pricing 54 128.9× 327 ⚠️ RAG Fracture
https://github.com/trust
Trust · GitHub
pricing 54 158.9× 238 ⚠️ RAG Fracture
https://github.com/about
About GitHub · GitHub
pricing 46 144.2× 386 ⚠️ RAG Fracture
https://github.com/resources
Resources to help you build, secure, and scale with GitHub · GitHub
pricing 46 208.4× 329 ⚠️ RAG Fracture
https://github.com/solutions
GitHub · Scalable AI-Powered Enterprise Platform Solutions · GitHub
pricing 46 165.3× 375 ⚠️ RAG Fracture
https://github.com/security
GitHub Security · GitHub
pricing 46 264.5× 398 ⚠️ RAG Fracture
https://github.com/privacy
GitHub Privacy · GitHub
pricing 44 215.4× 170 ⚠️ RAG Fracture
https://github.com/guides
GitHub Docs
blog 43 49.4× 316 ⚠️ RAG Fracture
https://github.com/help
GitHub Docs
support 43 49.5× 316 ⚠️ RAG Fracture
https://github.com/contact
Sign in for Software Support and Product Help - GitHub Support
support 26 140.0× 15
Showing 20 of 22 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
/support/ 1 26 0% 140.0× High JS Bloat
/api/ 1 0 0% 0.0× Low AI Readiness
/get-started/ 1 54 0% 150.6× High JS Bloat
/trust/ 1 54 0% 158.9× High JS Bloat
/solutions/ 1 46 0% 165.3× High JS Bloat
/about/ 1 46 0% 144.2× High JS Bloat
/security/ 1 46 0% 264.5× High JS Bloat
/privacy/ 1 44 0% 215.4× High JS Bloat
/guides/ 1 43 1% 49.4× Bot Blocked
/faq/ 1 54 0% 128.9× High JS Bloat
/resources/ 1 46 0% 208.4× High JS Bloat
/contact/ 1 26 0% 140.0× High JS Bloat
/blog/ 1 72 0% 52.5× High JS Bloat
/features/ 1 56 0% 74.1× High JS Bloat
/case-studies/ 1 56 0% 75.5× High JS Bloat
🔄 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/github.com

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
github.com (this site) 53 74 Ruby on Rails 38.4× 0
tracker.pardus.org.tr 78 85 MediaWiki 1.5× 0 Compare →
licht.de 78 80 Express 1.7× 0 Compare →
developers.liveperson.com 78 80 Custom / Proprietary 1.9× 0 Compare →
webnauts.pro 78 85 Next.js 3.0× 1 Compare →
electroline.cy 78 87 WordPress 6.0× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite github.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…

👻

Rendering Drop-Off by Depth

DEPTH PENALTY 14 PAGES
20%
Homepage Ghost
40%
Deep Pages Avg Ghost
7%
Homepage Bloat
114%
Deep Pages Avg Bloat
Ghost Ratio by Crawl Depth
Depth 0
20%
1 pg · ACRI 74
Orphan
40%
13 pg · ACRI 52
⚠️ Worst Rendering Pages
40% https://github.com/privacy orphan
40% https://github.com/solutions orphan
40% https://github.com/products orphan
40% https://github.com/about orphan
40% https://github.com/docs orphan
Deeper pages lose rendering fidelity. Pages at depth 4+ often show 2-3× higher ghost ratios than the homepage, meaning AI crawlers see progressively less of your actual content as they navigate deeper into the site architecture.
🏗️

Deep Architecture Health & Equity Distribution

14 PAGES
78.9%
Gini Inequality [?]
Extreme hoarding
88%
Top-3 PR Share [?]
Equity held by 3 pages
13
Orphan Pages [?]
92.9% of site
0.0
Avg Click Depth [?]
Max: 0 clicks
0
Internal Links
13 disconnected
10%
Semantic Cohesion [?]
Topical Drift
7% Healthy (receive equity)
0% Diluted hubs (>50 outbound)
93% Orphans (zero inbound)
🔗 Top Hub Pages (Highest PageRank)
https://github.com/terms https://github.com/blog https://github.com/integrations https://github.com/docs https://github.com/pricing
⚠️
13 orphan pages receive zero internal link equity. A Gini coefficient of 0.79 means the top 3 pages hoard 88% of all internal PageRank — AI crawlers may never discover the rest.
💡 Quick Win: Optimal Link Injection
To rescue the orphan page blog, add a link to it from your high-authority Hub Page terms. (Semantic Match: 45%)
📥 Orphan: https://github.com/blog
🔗 Donor: https://github.com/terms (PR: 0.8607)
Get the full link injection plan for all 13 orphan pages
Unlock Full Link Strategy →
The Gini coefficient measures link equity inequality across your site. A Gini of 0.79 indicates significant equity concentration — a handful of pages dominate PageRank while others receive very little link authority. AI crawlers may deprioritize pages with low internal link signals.
🧲

Semantic Density

THIN 14 TOPICS
14
Topic Clusters
via TF-IDF cosine, ε=.60
0
High-Density Pairs
>92% cosine similarity
Thin
Contextual Depth
≤5 pairs
Semantic Density measures how deeply your site covers each topic. High-density clusters (>92% similarity) mean multiple pages reinforce the same subject — this is positive for RAG/AI systems that need corroborating sources. Thin coverage (few clusters) means AI models have less evidence to cite you.
🧬

Entity Knowledge Gap Analysis

8 MISSING 0% COVERAGE
🚨
Missing Core Entity — Critical
github.com has zero JSON-LD entities declared. AI models cannot identify your brand, product, or organization in their knowledge graph. This means:
  • AI search engines will not attribute content to your brand
  • No rich snippets or knowledge panels will be generated
  • Competitor entities will fill the gap in AI responses
Fix: Add Organization or Brand JSON-LD to your homepage.
⚠️ 8 entities mentioned in content but missing from structured data:
GitHub Go PHP Terraform JavaScript Java GitHub Actions Slack
Each missing entity is a lost opportunity for rich snippet inclusion and AI knowledge graph integration.
Schema Coverage: 0 declared vs 12 extracted — 0% coverage Entities with <100% coverage create knowledge graph blind spots for AI systems
🧭

Semantic Nearest Neighbors

View all →
automattic.com
Automattic provides a suite of web-based tools and services, primarily centered around WordPress, to empower individuals and businesses to build
33%
Overlap
51
ACRI
Compare
arstechnica.com
Measure gravitational redshift with quantum superposition
27%
Overlap
55
ACRI
Compare
archlinux.org
Versatile, minimal, and customizable GNU/Linux distribution
26%
Overlap
61
ACRI
Compare
24%
Overlap
56
ACRI
Compare
22%
Overlap
55
ACRI
Compare
View All Semantic Alternatives → 📚 Docs Quality Index →
🎭

Bait & Switch Delta

B 14 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.

56
Homepage ACRI
54
Inner Avg ACRI
+2
ACRI Delta
40%
Homepage Ghost
38%
Inner Avg Ghost
18
Drift Score [?]
Worst Inner Pages
43 60% support https://github.com/help
26 40% support https://github.com/contact
54 40% pricing https://github.com/products
🛡️

E-E-A-T Trust Signals

B 60/100

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
🔗

Citation Profile

41 DOMAINS

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

207
Total Links
41
Unique Domains
14.8
Avg/Page
20%
Diversity
support.github.com githubstatus.com github.blog github.community archiveprogram.github.com docs.github.com skills.github.com maintainers.github.com securitylab.github.com services.github.com
🏘️ Outbound Neighborhood Trust Avg Trust: 4.5

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

🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

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

Current Score
74
Projected Score
92
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).

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

🕒 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.
Free Deep Audit → GSC Error Guide →