harvey.ai 68 C
🛡️ SEO 47 🤖 GEO 73 ⚡ Perf 59 🏗️ Arch 99

harvey.ai — Global SEODiff Score 68/100

harvey.ai
📊

At 75/100, the ACRI for harvey.ai indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places harvey.ai above the industry average of 57 —, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. Token bloat registers at 10.4× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

68
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (47) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 5 snapshots
Mar 3 Mar 21
🔔 Recent AI Indexing Activity
📈 Mar 18 ACRI +1 (57→58)
🔄 Mar 13 Content change detected
Does your site score higher than harvey.ai?
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)47 × 0.25 = 11.8
🤖 AI Readiness / GEO (40% weight)73 × 0.40 = 29.2
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)99 × 0.15 = 14.8
Weighted sum = 11.8 + 29.2 + 11.8 + 14.8
Global SEODiff Score = 68 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
64
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #56806
+14 pts
Gap
AI (ACRI)
Top 19%
Score 75/100

harvey.ai shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why harvey.ai ranks here

Tech stackNext.js
RenderingSSR
Schema coverage0 blocks
Token bloat10.4×

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

47/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

6 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

127 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Harvey – Professional Class AI
  • ✓ og:description — Harvey is the platform built to meet the standards of the world’s leading professional service firms.
  • ✓ 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

73/100 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 →
harvey.ai
58
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 64/100 — Good
Structured Elements 105 elements (105 lists, 0 rows, 0 headers)
Total Words863
Raw Density12.2%

🏷️ 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

54
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability54/100 — AI models can partially extract answers from this page
Crawl CostMedium (65/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

9%
🗑️ 91%
Useful Content (28.9 KB)Bloat (271.3 KB)
Token Bloat Ratio10.4× — Normal

Multimodal Readiness

Visual Context94% Optimized for Vision
Image Alt Coverage59 / 63 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 90.4% · SNR: 0.11 · Signal: 7403 / Noise: 69446 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 harvey.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
Harvey provides a unified platform for legal professionals to research, draft, and review legal documents, streamlining workflows and scaling expertise across firms.
Target Audience
Legal professionals (lawyers, paralegals, legal assistants), law firms, legal departments, and professional service networks.
Pricing Model
Pricing information not explicitly stated, but offers a ‘Request a Demo’ option.
🔗 Integration Partners
Slack
🏆 Competitive Moat
AI-powered legal research and workflow automation, combined with a focus on secure knowledge management and collaboration.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Request a DemoLogin
⚡ Key Pain Points
• Pricing information not available
• Lack of explicit compliance details
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
ServerVercel
CDNvercel
HTTP Status200
Load Time551 ms
Raw HTML Size300.2 KB
Visible Text Size28.9 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

551 ms
Acceptable — room for improvement

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

📦 Page Weight

1100
DOM nodes
300 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

99/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

65
internal links
7
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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for harvey.ai
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/harvey.ai" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=harvey.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 55 pages · Deep-10

Homepage ACRI
58
Single-page score
+1
Consistent readability
Δ delta
Site-Wide ACRI
59
Avg across 55 pages · Range 0–72
Topical Cohesion
4%
Topical Drift
TF-IDF cosine similarity
Total Words
53670
Avg Bloat
39.7×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 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.harvey.ai/blog/scaling-ai-evaluation-through-expertise
Scaling AI Evaluation Through Expertise
blog 72 14.3× 2736
https://www.harvey.ai/blog/expanding-big-law-bench
Expanding BigLaw Bench
pricing 72 16.7× 1829 💰 Pricing
https://www.harvey.ai/blog/how-ai-helps-pwc-deals-team-get-to-insight-faster
How AI Helps PwC’s Deals Team Get to Insight Faster
pricing 72 14.9× 2029 💰 Pricing
https://www.harvey.ai/blog/tony-capecci-is-building-practical-pathways-for-legal-innovation
Tony Capecci is Building Practical Pathways for Legal Innovation
blog 72 13.3× 2536
https://www.harvey.ai/blog/landing-a-job-at-harvey
The Ultimate Guide to Landing a Job at Harvey
pricing 72 10.9× 3641 💰 Pricing
https://www.harvey.ai/blog/5-questions-with-siva-gurumurthy
5 Questions With Siva Gurumurthy
blog 69 17.6× 1781
https://www.harvey.ai/blog/harvey-forum-redefining-the-future-of-legal
Harvey FORUM: Redefining the Future of Legal
blog 69 18.4× 2039
https://harvey.ai/security
Harvey – Security
trust 67 30.1× 1067
https://harvey.ai/careers
Harvey – Company
pricing 67 53.6× 773 💰 Pricing
https://www.harvey.ai/blog/introducing-harvey-deep-research
Introducing Harvey's New Reasoning Capabilities
pricing 64 31.2× 1024 💰 Pricing
https://www.harvey.ai/blog/harvey-in-practice-build-a-case-chronology-from-emails
Harvey In Practice: How to Build a Case Chronology From Emails
blog 64 35.2× 838
https://www.harvey.ai/blog/harvey-expands-law-school-program-to-the-united-kingdom
Harvey Expands Law School Program to the United Kingdom
blog 64 26.6× 1172
https://www.harvey.ai/blog/raising-the-bar-with-harvey
Raising the Bar With Harvey
blog 64 32.4× 911
https://www.harvey.ai/blog/a-more-unified-harvey-experience
A More Unified Harvey Experience
blog 64 32.2× 951
https://www.harvey.ai/blog/harveys-momentum-in-q3
Harvey’s Momentum in Q3
blog 64 27.1× 1139
https://www.harvey.ai/blog/harvey-partners-with-voyage-to-build-custom-legal-embeddings
Harvey partners with Voyage to build custom legal embeddings
blog 64 32.5× 910
https://www.harvey.ai/blog/introducing-ask-lexisnexis
Introducing Ask LexisNexis®
blog 64 29.2× 1039
https://www.harvey.ai/blog/harvey-mcp-overview
Centralize and Customize Legal Tools With MCP
blog 64 22.9× 1316
https://www.harvey.ai/blog/new-harvey-sydney-office
Harvey to Expand Team with New Sydney Office
blog 64 41.8× 647
https://www.harvey.ai/blog/harvey-expands-law-school-program-to-sydney
Harvey Expands Law School Program to Sydney
blog 64 29.9× 940
Showing 20 of 55 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/ 34 65 0% 33.7× High JS Bloat
/resources/ 2 52 0% 55.3× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/get-started/ 1 49 0% 51.1× High JS Bloat
/features/ 1 49 0% 51.1× High JS Bloat
/faq/ 1 49 0% 51.0× High JS Bloat
/integrations/ 1 49 0% 51.1× High JS Bloat
/api/ 1 49 0% 51.0× High JS Bloat
/support/ 1 49 0% 51.0× High JS Bloat
/trust/ 1 49 0% 51.0× High JS Bloat
/products/ 1 64 0% 80.8× High JS Bloat
/demo/ 1 49 0% 51.0× High JS Bloat
/about/ 1 49 0% 51.1× High JS Bloat
/security/ 1 67 0% 30.1× High JS Bloat
/careers/ 1 67 0% 53.6× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 55 pages
au.app.harvey.ai ×54
app.harvey.ai ×54
eu.app.harvey.ai ×54
academy.harvey.ai ×54
youtube.com ×53
x.com ×53
linkedin.com ×53
help.harvey.ai ×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/harvey.ai

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

How often would an AI cite harvey.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 harvey.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": "Harvey",
  "url": "https://harvey.ai",
  "logo": "https://harvey.ai/icons/brand-favicon.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": "Harvey",
  "url": "https://harvey.ai",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://harvey.ai/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 9% 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 Harvey?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Harvey does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Harvey work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Harvey."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
75
Projected Score
93
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
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