djinni.co 65 C
🛡️ SEO 45 🤖 GEO 72 ⚡ Perf 68 🏗️ Arch 76

djinni.co — Global SEODiff Score 65/100

djinni.co
📊

With a solid 65/100 ACRI, djinni.co is well-positioned for AI search — better than 54% of sites in the Radar. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A tight 3.2× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

65
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (45) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 13, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 13
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than djinni.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)45 × 0.25 = 11.2
🤖 AI Readiness / GEO (40% weight)72 × 0.40 = 28.8
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)76 × 0.15 = 11.4
Weighted sum = 11.2 + 28.8 + 13.6 + 11.4
Global SEODiff Score = 65 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 94
26
Structure
avg 36
0
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #60566
+40 pts
Gap
AI (ACRI)
Top 46%
Score 65/100

djinni.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 djinni.co ranks here

Tech stackWix
Industry
RenderingHybrid
Schema coverage0 blocks
Token bloat3.2×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

45/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

58 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

63 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 3
  • ✓ <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 — Djinni | Hire talent or find a job: remotely & on your own
  • ✓ og:description — Chat directly. See salaries in advance. Work without middlemen.
  • ✓ 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

72/100 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.

🚨

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 26/100 — Low
Structured Elements 11 elements (11 lists, 0 rows, 0 headers)
Total Words532
Raw Density2.1%
💡Low structure score (26/100). Your content appears as a wall of text with few structured HTML elements. You have 11 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

52
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability52/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

31%
🗑️ 69%
Useful Content (9.0 KB)Bloat (19.6 KB)
Token Bloat Ratio3.2× — Lean

Multimodal Readiness

Visual Context80% Optimized for Vision
Image Alt Coverage24 / 30 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

45 Entropy
Fair Token Bloat: Medium
Noise Ratio: 68.5% · SNR: 0.46 · Signal: 2311 / Noise: 5029 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 djinni.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
Djinni is a platform connecting employers with potential candidates, primarily focusing on sourcing talent and offering a hiring fee model
Target Audience
Recruiters, HR professionals, and hiring managers seeking to source candidates, particularly for junior roles and those in Ukraine.
Pricing Model
Pay-per-hire based on candidate salary expectations (20% for Ukraine, 50% elsewhere), with a free tier for job postings and a ‘free junior hire’ option for candidates earning less than $700/month. Payment terms are 30 days from candidate start date.
🔗 Integration Partners
LinkedIn
🏆 Competitive Moat
Unique hiring fee model based on salary expectations and a focus on direct candidate sourcing, combined with employer profile verification to build trust.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
job postingcandidate sourcinghiring fees
⚡ Key Pain Points
• Complex pricing structure based on salary expectations
• Potential for candidate churn and refund requests
• Need for employer profile verification
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkWix
AI-Readiness Score55/100
Servernginx
CDN
HTTP Status200
Load Time1223 ms
Raw HTML Size28.7 KB
Visible Text Size9.0 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1223 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

265
DOM nodes
29 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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 → https://djinni.co/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

11
internal links
2
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 42/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for djinni.co
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/djinni.co" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=djinni.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 58 pages · Deep-10

Homepage ACRI
42
Single-page score
+24
Subpages outperform homepage
Δ delta
Site-Wide ACRI
66
Avg across 58 pages · Range 61–82
Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
98511
Avg Bloat
32.2×
Page Type ACRI Token Bloat Words Status
https://djinni.co/pricing
Terms of Use – Djinni
pricing 82 4.5× 910 💰 Pricing
https://djinni.co/jobs/keyword-other
Jobs (Other) – Djinni
pricing 67 27.4× 1978 💰 Pricing
https://djinni.co/jobs/keyword-project_manager
Jobs Project Manager – Djinni
pricing 67 27.0× 2003 💰 Pricing
https://djinni.co/jobs/keyword-data_analytics
Jobs at Djinni – Djinni
pricing 67 26.7× 1989 💰 Pricing
https://djinni.co/jobs/keyword-dev_ops
Jobs DevOps – Djinni
pricing 67 28.9× 1976 💰 Pricing
https://djinni.co/jobs/keyword-php
Jobs PHP – Djinni
pricing 67 26.6× 2052 💰 Pricing
https://djinni.co/jobs/keyword-react_native
Jobs React Native – Djinni
pricing 67 26.2× 2005 💰 Pricing
https://djinni.co/jobs/keyword-qa
Jobs at Djinni – Djinni
pricing 67 26.7× 1989 💰 Pricing
https://djinni.co/jobs/keyword-react
Jobs React.js – Djinni
pricing 67 26.9× 1951 💰 Pricing
https://djinni.co/jobs/keyword-digital_marketing
Jobs Digital Marketing – Djinni
pricing 67 27.0× 2013 💰 Pricing
https://djinni.co/jobs/keyword-hr
Jobs HR – Djinni
pricing 67 26.8× 1983 💰 Pricing
https://djinni.co/jobs/keyword-qa_manual
Jobs QA Manual – Djinni
pricing 67 28.0× 1953 💰 Pricing
https://djinni.co/jobs/keyword-finances
Jobs Finances – Djinni
pricing 67 28.2× 1956 💰 Pricing
https://djinni.co/jobs/keyword-wordpress
Jobs WordPress – Djinni
pricing 67 28.3× 1960 💰 Pricing
https://djinni.co/jobs/keyword-qa_automation
Jobs QA Automation – Djinni
pricing 67 27.6× 1963 💰 Pricing
https://djinni.co/jobs/keyword-product_manager
Jobs Product Manager – Djinni
pricing 67 28.2× 1988 💰 Pricing
https://djinni.co/jobs/keyword-product_owner
Jobs Product Owner – Djinni
pricing 67 27.4× 2031 💰 Pricing
https://djinni.co/jobs/keyword-data_analyst
Jobs Data Analyst – Djinni
pricing 67 27.3× 2011 💰 Pricing
https://djinni.co/jobs/keyword-data_engineer
Jobs Data Engineer – Djinni
pricing 67 27.6× 1953 💰 Pricing
https://djinni.co/jobs/keyword-sql_dba
Jobs SQL / DBA – Djinni
pricing 67 27.8× 1965 💰 Pricing
Showing 20 of 58 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
/jobs/ 57 66 0% 32.6× High JS Bloat
/pricing/ 1 82 0% 4.5× Healthy
🔗
Outbound External Citations
0 unique external domains cited across 58 pages
djinni.nolt.io ×58
🔄 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/djinni.co

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

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
djinni.co (this site) 42 65 Wix 3.2× 0
commodoreusa.net 52 78 Wix 427.3× 2 Compare →
kgmu.org 52 15 Custom / Proprietary 3.4× 0 Compare →
wellpartner.com 52 73 Next.js 3.4× 0 Compare →
gujaratset.ac.in 52 72 Custom / Proprietary 3.0× 0 Compare →
pibid.unespar.edu.br 52 72 Custom / Proprietary 2.8× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite djinni.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 djinni.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": "Djinni",
  "url": "https://djinni.co",
  "logo": "https://djinni.co/static/favicons/v03/favicon-196x196.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": "Djinni",
  "url": "https://djinni.co",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://djinni.co/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Djinni?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Djinni does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Djinni work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Djinni."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
65
Projected Score
78
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 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?

Monitor your AI visibility score weekly and get alerted when changes happen.

Start Free →

🧭 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