supabase.co 60 C
🛡️ SEO 50 🤖 GEO 58 ⚡ Perf 52 🏗️ Arch 90

supabase.co — Global SEODiff Score 60/100

supabase.co
📊

supabase.co achieves a 68/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Compared to other developer sites (avg score: 58), supabase.co performs above the benchmark, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The bloated 23.2× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

60
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (50) is your bottleneck.
🎯 Top Fix: Reduce token bloat (23×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
📈 ACRI Trend 14 snapshots
Feb 22 Feb 28
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than supabase.co?
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)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)58 × 0.40 = 23.2
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)90 × 0.15 = 13.5
Weighted sum = 12.5 + 23.2 + 10.4 + 13.5
Global SEODiff Score = 60 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
30
Structure
avg 36
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.3%
Rank #3187
+39 pts
Gap
AI (ACRI)
Top 39%
Score 68/100

supabase.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 supabase.co ranks here

Tech stackNext.js
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat23.2×

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

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

45 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

159 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Supabase | The Postgres Development Platform.
  • ✓ og:description — Build production-grade applications with a Postgres database, Authentication, instant APIs, Realtime, Functions, Storage and Vector embeddings. Start for free.
  • ✓ 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

58/100 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 →
supabase.co
44
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 30/100 — Low
Structured Elements 68 elements (68 lists, 0 rows, 0 headers)
Total Words2466
Raw Density2.8%
💡Low structure score (30/100). Your content appears as a wall of text with few structured HTML elements. You have 68 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

38
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability38/100 — 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

4%
🗑️ 96%
Useful Content (15.3 KB)Bloat (339.5 KB)
Token Bloat Ratio23.2× — Heavy

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage189 / 189 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 354.8 KB, but only 15.3 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (23.2×) 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: 95.7% · SNR: 0.04 · Signal: 3910 / Noise: 86921 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/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of supabase.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
Full-stack database and authentication platform for web and mobile apps
Target Audience
Developers, DevOps, product teams, CTOs
Pricing Model
Freemium, paid tiers
🔗 Integration Partners
OpenAIGitHubSlack
🛡️ Compliance Standards
SOC 2
🏆 Competitive Moat
AI-powered database management and real-time data replication
📊 Content Depth
9/10
🔄 Programmatic SEO Signals
Feature comparison pagesTemplate comparison pages
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-28 · 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 Time546 ms
Raw HTML Size354.8 KB
Visible Text Size15.3 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

546 ms
Acceptable — room for improvement

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

📦 Page Weight

2244
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

90/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://supabase.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

107
internal links
80
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 44/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
44
Single-page score
-10
Moderate hidden bloat
Δ delta
Site-Wide ACRI
35
Avg across 4 pages · Range 20–53
Topical Cohesion
18%
Topical Drift
TF-IDF cosine similarity
Total Words
1127
Avg Bloat
492.6×
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://supabase.co/features
Supabase Features
pricing 53 48.0× 839 ⚠️ RAG Fracture
https://supabase.co/docs
Supabase Docs
docs 46 199.6× 277
https://supabase.co/pricing
Pricing & Fees | Supabase
pricing 20 635.4× 5 💰 Pricing
https://supabase.co/blog
Supabase Blog: the Postgres development platform
pricing 20 1087.5× 6 💰 Pricing
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/features/ 1 53 1% 48.0× Bot Blocked
/docs/ 1 46 0% 199.6× High JS Bloat
/pricing/ 1 20 1% 635.4× Bot Blocked
/blog/ 1 20 1% 1087.5× Bot Blocked
🔄 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/supabase.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 supabase.co. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
supabase.co (this site) 44 68 Next.js 23.2× 0
numi.rs 69 84 Next.js 24.6× 2 Compare →
dreametech.com.tw 69 78 Next.js 6.0× 1 Compare →
propublish.id 69 88 Express 23.7× 5 Compare →
mbhte.bangsamoro.gov.ph 69 81 WordPress 12.3× 1 Compare →
ircf.fr 69 84 WordPress 9.0× 1 Compare →
Compare All 5 Similar Sites →
🎭

Bait & Switch Delta

A 4 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.

20
Homepage ACRI
40
Inner Avg ACRI
-20
ACRI Delta
80%
Homepage Ghost
60%
Inner Avg Ghost
0
Drift Score [?]
Worst Inner Pages
20 80% pricing https://supabase.co/blog
53 60% pricing https://supabase.co/features
46 40% docs https://supabase.co/docs
🛡️

E-E-A-T Trust Signals

F 0/100

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

8 DOMAINS

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

14
Total Links
8
Unique Domains
3.5
Avg/Page
57%
Diversity
twitter.com discord.supabase.com youtube.com status.supabase.com github.com supabase.com forms.supabase.com dev.to
🏘️ Outbound Neighborhood Trust Avg Trust: 31.6

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

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to supabase.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": "Supabase",
  "url": "https://supabase.co",
  "logo": "https://supabase.co/favicon/favicon-16x16.png",
  "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": "Supabase",
  "url": "https://supabase.co",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://supabase.co/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 4% 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 Supabase?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Supabase does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Supabase work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Supabase."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
68
Projected Score
86
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