tabnine.com 72 B
🛡️ SEO 72 🤖 GEO 81 ⚡ Perf 52 🏗️ Arch 73

tabnine.com — Global SEODiff Score 72/100

tabnine.com
📊

tabnine.com shows strong AI visibility with an ACRI of 75/100, outperforming 81% of indexed domains. Compared to other developer sites (avg score: 57), tabnine.com performs above the benchmark, suggesting strong competitive positioning in AI search. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The token bloat ratio sits at a lean 2.8×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

72
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (52) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 26 snapshots
Feb 21 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
🔄 Mar 15 Content change detected
Does your site score higher than tabnine.com?
Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)72 × 0.25 = 18.0
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)73 × 0.15 = 10.9
Weighted sum = 18.0 + 32.4 + 10.4 + 10.9
Global SEODiff Score = 72 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
23
Structure
avg 35
44
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #20518
+17 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

tabnine.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 tabnine.com ranks here

Tech stackWordPress
Industrydeveloper
RenderingSSR
Schema coverage2 blocks
Token bloat2.8×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

72/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

79 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

141 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.tabnine.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Tabnine AI Code Assistant | Smarter AI Coding Agents. Total Enterprise Control.
  • ✓ og:description — Tabnine is the AI code assistant that accelerates and simplifies software development while keeping your code private, secure, and compliant.
  • ✗ og:image
  • ✓ 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

81/100 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 →
tabnine.com
58
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 23/100 — Low
Structured Elements 45 elements (45 lists, 0 rows, 0 headers)
Total Words2751
Raw Density1.6%
💡Low structure score (23/100). Your content appears as a wall of text with few structured HTML elements. You have 45 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 Blocks2 block(s) — Basic (low value for AI)

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

63
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability63/100 — AI models can partially extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

35%
🗑️ 65%
Useful Content (116.1 KB)Bloat (210.5 KB)
Token Bloat Ratio2.8× — Lean

Multimodal Readiness

Visual Context39% Optimized for Vision
Image Alt Coverage43 / 111 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 39% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

55 Entropy
Fair Token Bloat: Medium
Noise Ratio: 64.5% · SNR: 0.55 · Signal: 29721 / Noise: 53886 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 tabnine.com 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
Tabnine is an AI code assistant that provides personalized recommendations and helps developers accelerate software development while maintaining control over their code and data.
Target Audience
Developers, engineering teams, students, new developers
Pricing Model
Tabnine offers a tiered subscription model with options for SaaS, on-premises, and VPC deployment.
🛡️ Compliance Standards
SOC 2GDPR
🏆 Competitive Moat
Local AI model deployment for enhanced privacy and control, exclusive training on permissive-licensed code.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time867 ms
Raw HTML Size326.6 KB
Visible Text Size116.1 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

867 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1635
DOM nodes
327 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=600, must-revalidate
  • ✓ CDN cache status → DYNAMIC
  • ✓ 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

73/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.tabnine.com/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

60
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-US
  • ✓ 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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for tabnine.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/tabnine.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=tabnine.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 118 pages · Deep-10

Homepage ACRI
58
Single-page score
+2
Consistent readability
Δ delta
Site-Wide ACRI
61
Avg across 118 pages · Range 0–75
Topical Cohesion
12%
Topical Drift
TF-IDF cosine similarity
Total Words
144665
Avg Bloat
27.9×
RAG Fractures [?]
112
⚠️
112 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 112 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.tabnine.com/blog/top-vscode-extensions/
Top 40+ VSCode extensions for developers in 2022 - Tabnine
pricing 75 12.7× 3071 ⚠️ RAG Fracture
https://www.tabnine.com/blog/large-language-models/
Gentle intro to Large Language Models: Architecture & examples - Tabnine
pricing 71 13.2× 2388 ⚠️ RAG Fracture
https://www.tabnine.com/blog/ai-code-review/
What is AI code review and how it works in 4 popular AI tools - Tabnine
pricing 71 11.9× 2731 ⚠️ RAG Fracture
https://www.tabnine.com/blog/ai-code-assistant-guide/
AI coding assistant: No-fluff guide to tech, features, and best practices - Tabnine
pricing 71 10.0× 3453 ⚠️ RAG Fracture
https://www.tabnine.com/blog/open-source-and-generative-ai/
Open source and generative AI - Tabnine
pricing 71 11.2× 2772 ⚠️ RAG Fracture
https://www.tabnine.com/blog/9-books-on-the-software-development-life-cycle/
9 books on the software development life cycle (SDLC) you need to read - Tabnine
pricing 71 14.7× 2104 ⚠️ RAG Fracture
https://www.tabnine.com/blog/tabnine-vs-github-copilot-6-key-differences/
Tabnine vs. GitHub Copilot - Tabnine
pricing 71 14.2× 2277 ⚠️ RAG Fracture
https://www.tabnine.com/blog/material-ui-and-how-to-use-it/
What is Material-UI and how to use it correctly? - Tabnine
pricing 71 14.9× 2078 ⚠️ RAG Fracture
https://www.tabnine.com/blog/javascript-vs-typescript/
JavaScript vs. TypeScript: Which one should you use? - Tabnine
pricing 69 19.8× 1614 ⚠️ RAG Fracture
https://www.tabnine.com/blog/7-tips-for-perfecting-the-sdlc/
7 tips for perfecting the SDLC - Tabnine
pricing 69 19.7× 1594 ⚠️ RAG Fracture
https://www.tabnine.com/blog/top-webstorm-plugins-for-javascript/
Top 26 WebStorm plugins for JavaScript - Tabnine
pricing 69 17.7× 1866 ⚠️ RAG Fracture
https://www.tabnine.com/blog/7-coding-practices-for-agile-software-development/
7 coding practices for agile software development - Tabnine
pricing 69 19.9× 1593 ⚠️ RAG Fracture
https://www.tabnine.com/blog/7-tips-for-more-productive-software-development-teams/
7 tips for more productive software development teams - Tabnine
pricing 69 17.6× 1804 ⚠️ RAG Fracture
https://www.tabnine.com/blog/the-fundamentals-of-c-plus-plus/
The fundamentals of C++ - Tabnine
pricing 69 19.7× 1610 ⚠️ RAG Fracture
https://www.tabnine.com/blog/redux-vs-mobx/
Redux vs. MobX in React: Which is right for you? - Tabnine
pricing 69 19.4× 1631 ⚠️ RAG Fracture
https://www.tabnine.com/blog/a-comprehensive-beginners-guide-to-npm/
A comprehensive beginner’s guide to NPM - Tabnine
pricing 69 18.5× 1733 ⚠️ RAG Fracture
https://www.tabnine.com/blog/inline-javascript-in-html/
Inline JavaScript in HTML: Don’t do it, unless you like really, really bad code - Tabnine
pricing 69 18.6× 1716 ⚠️ RAG Fracture
https://www.tabnine.com/blog/json-vs-xml/
How do JSON and XML compare and when to use which - Tabnine
pricing 69 19.1× 1636 ⚠️ RAG Fracture
https://www.tabnine.com/blog/react-router-how-to-implement-routing-in-react/
React Router: How to implement routing in React - Tabnine
pricing 68 18.8× 1796 ⚠️ RAG Fracture
https://www.tabnine.com/blog/tabnine-enterprise-vs-chatgpt-plus/
Tabnine Enterprise vs. ChatGPT Plus - Tabnine
pricing 68 19.3× 1589 ⚠️ RAG Fracture
Showing 20 of 100 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
/blog/ 109 64 0% 29.1× High JS Bloat
/pricing/ 2 63 0% 29.5× High JS Bloat
/contact/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 50 1% 59.5× Bot Blocked
/docs/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 118 pages
console.tabnine.com ×112
docs.tabnine.com ×112
twitter.com ×112
youtube.com ×112
linkedin.com ×112
trust.tabnine.com ×112
pages.tabnine.com ×34
app.tabnine.com ×31
🔄 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/tabnine.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 tabnine.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
tabnine.com (this site) 58 75 WordPress 2.8× 2
askbart.org 81 84 WordPress 2.6× 1 Compare →
jitterbit.com 82 88 WordPress 2.7× 1 Compare →
jitterbit.net 82 88 WordPress 2.7× 1 Compare →
blastengine.jp 82 95 WordPress 2.7× 3 Compare →
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📊 Semantic Share of Voice

How often would an AI cite tabnine.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…

🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

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

Current Score
75
Projected Score
78
Improvement
+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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