zest.ai 69 C
🛡️ SEO 49 🤖 GEO 80 ⚡ Perf 62 🏗️ Arch 84

zest.ai — Global SEODiff Score 69/100

zest.ai
📊

The AI-Readiness profile for zest.ai is strong: an ACRI of 71/100 places it ahead of 70% of domains in the index. Compared to other infrastructure sites (avg score: 57), zest.ai 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. A 5.7× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (49) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 16
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than zest.ai?
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)49 × 0.25 = 12.2
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)62 × 0.20 = 12.4
🏗️ Architecture & Trust (15% weight)84 × 0.15 = 12.6
Weighted sum = 12.2 + 32.0 + 12.4 + 12.6
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
38
Structure
avg 35
2
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #540111
-24 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

zest.ai ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 30%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why zest.ai ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat5.7×

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

49/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

7 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

274 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 9
  • ✓ Has <h2> headings — found 2
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Home - Zest AI
  • ✓ og:description — Accurately assess, confidently decision, and perpetually optimize your lending business with proven AI technology. Zest AI is for lenders that want to create a smarter, inclusive, and more efficient lending process, to be agile and confident through any economic conditions.
  • ✗ 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

80/100 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 infrastructure sector, safely.co.jp (ACRI: 90) 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 →
zest.ai
56
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. 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 38/100 — Low
Structured Elements 39 elements (39 lists, 0 rows, 0 headers)
Total Words892
Raw Density4.4%
💡Low structure score (38/100). Your content appears as a wall of text with few structured HTML elements. You have 39 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

2/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

54
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability54/100 — AI models can partially extract answers from this page
Crawl CostMedium (40/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

17%
🗑️ 83%
Useful Content (23.5 KB)Bloat (110.5 KB)
Token Bloat Ratio5.7× — Normal

Multimodal Readiness

Visual Context8% Optimized for Vision
Image Alt Coverage2 / 26 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 8% 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: 82.5% · SNR: 0.21 · Signal: 6018 / Noise: 28284 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 zest.ai 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
Zest AI provides AI-powered solutions for lending institutions, automating underwriting, fraud detection, and portfolio intelligence to improve decision-making, reduce risk, and promote equitable lending practices.
Target Audience
Lending institutions, credit unions, financial institutions, and organizations focused on fair lending practices.
Pricing Model
Not explicitly stated, but implied to be custom pricing based on needs and volume.
🛡️ Compliance Standards
GDPR
🏆 Competitive Moat
AI-powered underwriting and fraud detection with a focus on equitable lending and risk management, combined with dedicated customer success support.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
View all
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-25

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1274 ms
Raw HTML Size134.0 KB
Visible Text Size23.5 KB

Performance & Speed

62/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1274 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

545
DOM nodes
134 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ 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

84/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

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

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

Homepage ACRI
56
Single-page score
-40
Severe hidden bloat
Δ delta
Site-Wide ACRI
16
Avg across 10 pages · Range 0–61
🔍
Hidden Bloat Detected

Homepage scores 56, but internal pages average only 16 — a -40-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
1378
Avg Bloat
17.8×
Page Type ACRI Token Bloat Words Status
https://zest.ai/about
Zest AI
pricing 61 38.8× 707 💰 Pricing
https://zest.ai/blog
Blogs - Zest AI
pricing 51 72.1× 335 💰 Pricing
https://zest.ai/contact
Contact Us - Zest AI
pricing 50 66.8× 336 💰 Pricing
https://zest.ai/pricing pricing 0 0.0× 0
https://zest.ai/features product 0 0.0× 0
https://zest.ai/products product 0 0.0× 0
https://zest.ai/docs docs 0 0.0× 0
https://zest.ai/case-studies social-proof 0 0.0× 0
https://zest.ai/faq support 0 0.0× 0
https://zest.ai/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/contact/ 1 50 1% 66.8× Bot Blocked
/integrations/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 61 1% 38.8× Bot Blocked
/blog/ 1 51 1% 72.1× Bot Blocked
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
youtube.com ×3
linkedin.com ×3
🔄 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/zest.ai

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
zest.ai (this site) 56 71 WordPress 5.7× 1
tvseriesfinale.com 81 90 WordPress 6.2× 1 Compare →
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nordicwelfare.org 81 90 WordPress 4.8× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite zest.ai 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 zest.ai. 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": "Zest",
  "url": "https://zest.ai",
  "logo": "https://www.zest.ai/wp-content/uploads/2024/08/favicon-150x150.png",
  "sameAs": []
}
</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 Zest?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Zest does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Zest work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Zest."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for zest.ai:

Current Score
71
Projected Score
83
Improvement
+12 pts
Add Organization schema +6 pts
Reduce token bloat +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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