factory.ai 59 D
🛡️ SEO 50 🤖 GEO 59 ⚡ Perf 47 🏗️ Arch 93

factory.ai — Global SEODiff Score 59/100

factory.ai
📊

factory.ai shows strong AI visibility with an ACRI of 69/100, outperforming 64% of indexed domains. Compared to other developer sites (avg score: 57), factory.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 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (47) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (78×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 7 Mar 16
🔔 Recent AI Indexing Activity
🔄 Mar 10 Content change detected
Does your site score higher than factory.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)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)59 × 0.40 = 23.6
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 12.5 + 23.6 + 9.4 + 13.9
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
36
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 4%
Rank #42977
+32 pts
Gap
AI (ACRI)
Top 36%
Score 69/100

factory.ai 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 factory.ai ranks here

Tech stackNext.js
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat50×+

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

43 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

121 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 14
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://factory.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 — Factory | Agent-Native Software Development
  • ✓ og:description — Build faster with AI coding agents. Factory Droids automate coding, testing, and deployment for startups and enterprises.
  • ✓ 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

59/100 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 →
factory.ai
45
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 36/100 — Low
Structured Elements 42 elements (42 lists, 0 rows, 0 headers)
Total Words1075
Raw Density3.9%
💡Low structure score (36/100). Your content appears as a wall of text with few structured HTML elements. You have 42 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

37
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability37/100 — AI models can barely extract answers from this page
Crawl CostHigh (85/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (6.8 KB)Bloat (522.4 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual ContextNo images detected
Image Alt Coverage0 / 0 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 529.1 KB, but only 6.8 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) 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: 98.7% · SNR: 0.01 · Signal: 1730 / Noise: 133726 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 factory.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
This SaaS platform facilitates secure data processing agreements (DPAs) between businesses, ensuring compliance with data protection regulations like GDPR and
Target Audience
Legal teams, data privacy officers, compliance managers, and businesses handling personal data, particularly those operating internationally.
Pricing Model
Subscription-based, with tiered pricing based on data volume and features (likely starting around $50/month and scaling up).
🔗 Integration Partners
Slack
🛡️ Compliance Standards
GDPRCCPAUK GDPR
🏆 Competitive Moat
AI-powered DPA generation and management, providing automated compliance checks and reducing legal overhead.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Complex DPA creation process
• Difficulty maintaining DPA compliance
• Lack of automated data transfer solutions
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
ServerVercel
CDNvercel
HTTP Status200
Load Time545 ms
Raw HTML Size529.1 KB
Visible Text Size6.8 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

545 ms
Acceptable — room for improvement

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

📦 Page Weight

1617
DOM nodes
529 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

51
internal links
3
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 45/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for factory.ai
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/factory.ai" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=factory.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 77 pages · Deep-10

Homepage ACRI
45
Single-page score
-3
Consistent readability
Δ delta
Site-Wide ACRI
43
Avg across 77 pages · Range 0–74
Topical Cohesion
12%
Topical Drift
TF-IDF cosine similarity
Total Words
63789
Avg Bloat
64.4×
RAG Fractures [?]
68
⚠️
68 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 68 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://factory.ai/data-processing-agreement
Factory DPA
pricing 74 8.9× 8589 ⚠️ RAG Fracture
https://factory.ai/terms-of-service
Factory Terms of Service
pricing 74 8.5× 4649 ⚠️ RAG Fracture
https://factory.ai/news/code-droid-technical-report
Code Droid: A Technical Report | Factory.ai
pricing 61 14.6× 3144 ⚠️ RAG Fracture
https://factory.ai/news/context-window-problem
The Context Window Problem: Scaling Agents Beyond Token Limits | Factory.ai
pricing 61 17.8× 2277 ⚠️ RAG Fracture
https://factory.ai/news/droid-neutralizing-fraud
The Droid Wars: Breaking up an AI‑orchestrated cyber fraud campaign | Factory.ai
pricing 61 17.3× 2053 ⚠️ RAG Fracture
https://factory.ai/baa
Factory BAA
pricing 61 13.4× 2407 ⚠️ RAG Fracture
https://factory.ai/privacy-policy
Factory Privacy Policy
pricing 61 15.9× 3570 ⚠️ RAG Fracture
https://factory.ai/news/terminal-bench
Droid: The #1 Software Development Agent on Terminal-Bench | Factory.ai
pricing 56 20.4× 2192 ⚠️ RAG Fracture
https://factory.ai/news/evaluating-compression
Evaluating Context Compression for AI Agents | Factory.ai
pricing 56 26.1× 2837 ⚠️ RAG Fracture
https://factory.ai/news/factory-signals
Signals: Toward a Self-Improving Agent | Factory.ai
pricing 56 20.6× 1947 ⚠️ RAG Fracture
https://factory.ai/news/missions
Introducing Missions | Factory.ai
pricing 56 27.0× 1332 ⚠️ RAG Fracture
https://factory.ai/news/using-linters-to-direct-agents
Using Linters to Direct Agents | Factory.ai
pricing 56 26.6× 1835 ⚠️ RAG Fracture
https://factory.ai/news/what-droid-searches
Let Me Droid That For You: What 780K Agent Searches Reveal | Factory.ai
pricing 56 25.0× 1351 ⚠️ RAG Fracture
https://factory.ai/case-studies/groq
Groq leverages Factory's model-agnostic software development agents to accelerate day-0 launches | Factory.ai
pricing 53 42.2× 739 ⚠️ RAG Fracture
https://factory.ai/case-studies/chainguard
Two Weeks, One Session, Endless Packages | Factory.ai
pricing 53 43.4× 733 ⚠️ RAG Fracture
https://factory.ai/case-studies/clari
Clari goes all-in on Agent-Native software development with Factory | Factory.ai
pricing 53 35.0× 934 ⚠️ RAG Fracture
https://factory.ai/case-studies/empower
How Empower Decreased Incident Response Times by 40% with Factory | Factory.ai
pricing 53 46.8× 725 ⚠️ RAG Fracture
https://factory.ai/case-studies/nav
How Nav Accelerated Software Development with Factory | Factory.ai
pricing 53 41.2× 796 ⚠️ RAG Fracture
https://factory.ai/careers/forward-deployed-engineer
Forward Deployed Engineer
pricing 53 52.6× 503 ⚠️ RAG Fracture
https://factory.ai/news/agent-readiness
Introducing Agent Readiness | Factory.ai
pricing 53 33.5× 1149 ⚠️ RAG Fracture
Showing 20 of 77 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
/news/ 29 50 1% 64.2× Bot Blocked
/careers/ 19 44 1% 79.3× Bot Blocked
/case-studies/ 6 51 1% 87.2× Bot Blocked
/product/ 5 46 0% 71.6× High JS Bloat
/security/ 1 43 1% 105.4× Bot Blocked
/privacy-policy/ 1 61 0% 15.9× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/terms-of-service/ 1 74 0% 8.5× High JS Bloat
/baa/ 1 61 0% 13.4× High JS Bloat
/data-processing-agreement/ 1 74 0% 8.9× High JS Bloat
/enterprise/ 1 43 1% 109.0× Bot Blocked
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 77 pages
app.factory.ai ×68
docs.factory.ai ×68
x.com ×68
linkedin.com ×68
github.com ×68
jobs.ashbyhq.com ×19
trust.factory.ai ×3
aicpa-cima.com ×2
🔄 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/factory.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 factory.ai. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
factory.ai (this site) 45 69 Next.js 78.3× 0
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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
69
Projected Score
87
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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