baseten.co 62 C
🛡️ SEO 47 🤖 GEO 69 ⚡ Perf 52 🏗️ Arch 82

baseten.co — Global SEODiff Score 62/100

baseten.co
📊

baseten.co shows strong AI visibility with an ACRI of 72/100, outperforming 73% of indexed domains. In the infrastructure sector, baseten.co outperforms the average (57), 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. The 12.5× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. 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.

62
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 19, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Feb 23 Mar 19
🔔 Recent AI Indexing Activity
🔄 Mar 14 Content change detected
Does your site score higher than baseten.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)47 × 0.25 = 11.8
🤖 AI Readiness / GEO (40% weight)69 × 0.40 = 27.6
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)82 × 0.15 = 12.3
Weighted sum = 11.8 + 27.6 + 10.4 + 12.3
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
49
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #51679
+22 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

baseten.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 baseten.co ranks here

Tech stackNext.js
RenderingSSR
Schema coverage0 blocks
Token bloat12.5×

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

60 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

98 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.baseten.co/
  • ✓ 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 — Inference Platform: Deploy AI models in production | Baseten
  • ✓ og:description — Serve and scale open-source and custom AI models on the fastest, most reliable inference platform.
  • ✓ 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

69/100 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 →
baseten.co
51
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 49/100 — Fair
Structured Elements 107 elements (107 lists, 0 rows, 0 headers)
Total Words1492
Raw Density7.2%

🏷️ 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

47
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability47/100 — 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

8%
🗑️ 92%
Useful Content (32.3 KB)Bloat (371.1 KB)
Token Bloat Ratio12.5× — Normal

Multimodal Readiness

Visual Context33% Optimized for Vision
Image Alt Coverage13 / 40 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 33% 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: 92.0% · SNR: 0.09 · Signal: 8271 / Noise: 94996 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 baseten.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
Baseten provides an in-house ML inference specialist team to help companies scale their AI infrastructure without hiring additional staff.
Target Audience
Engineering teams, Machine Learning teams, and companies seeking to scale their AI deployments.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Baseten's in-house team provides a unique competitive advantage by eliminating the need for companies to build and manage their own AI infrastructure teams.
📊 Content Depth
5/10
⚡ Key Pain Points
• Lack of internal AI expertise
• High costs of hiring and training AI specialists
• Difficulty scaling AI infrastructure
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
ServerVercel
CDNvercel
HTTP Status200
Load Time550 ms
Raw HTML Size403.4 KB
Visible Text Size32.3 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

550 ms
Acceptable — room for improvement

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

📦 Page Weight

1683
DOM nodes
403 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

82/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

131
internal links
23
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 51/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for baseten.co
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/baseten.co" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=baseten.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 74 pages · Deep-10

Homepage ACRI
51
Single-page score
+2
Consistent readability
Δ delta
Site-Wide ACRI
53
Avg across 74 pages · Range 0–69
Topical Cohesion
14%
Topical Drift
TF-IDF cosine similarity
Total Words
95094
Avg Bloat
64.9×
RAG Fractures [?]
67
⚠️
67 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 67 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.baseten.co/blog/fine-tuning-models-ai-and-hollywood-a-conversation-with-oxen-s-founder-greg/
Fine-tuning models, AI and Hollywood: A conversation with Oxen’s founder Greg
pricing 69 17.1× 3494 ⚠️ RAG Fracture
https://www.baseten.co/blog/building-ai-agents-open-code-and-open-source-a-conversation-with-dax/
Building AI agents, open code, and open source: A conversation with Dax
pricing 69 19.6× 2938 ⚠️ RAG Fracture
https://www.baseten.co/blog/forward-deployed-engineering/
Forward deployed engineering on the frontier of AI
pricing 64 27.5× 2246 ⚠️ RAG Fracture
https://www.baseten.co/blog/tool-calling-in-inference/
Tool Calling in Inference
pricing 64 27.3× 2481 ⚠️ RAG Fracture
https://www.baseten.co/blog/ai-model-performance-metrics-explained/
AI Model Performance Metrics Explained
pricing 61 36.2× 1696 ⚠️ RAG Fracture
https://www.baseten.co/blog/how-to-run-llm-performance-benchmarks-and-why-you-should/
How to run LLM performance benchmarks (and why you should)
pricing 61 40.3× 1510 ⚠️ RAG Fracture
https://www.baseten.co/blog/the-fastest-whisper-transcription-with-streaming-and-diarization/
The fastest Whisper — with streaming and diarization
pricing 61 60.7× 1105 ⚠️ RAG Fracture
https://www.baseten.co/blog/nvidia-nemotron-3-nano/
NVIDIA Nemotron 3 Nano: Build Agentic AI Applications on Baseten
pricing 61 73.3× 825 ⚠️ RAG Fracture
https://www.baseten.co/blog/purpose-built-llms-for-dental-note-taking/
Purpose-built LLMs for dental note-taking
pricing 61 33.1× 2080 ⚠️ RAG Fracture
https://www.baseten.co/blog/from-sketch-to-3d-model-building-a-flower-card-generator-with-open-source-ai/
From Sketch to 3D Model: Building a flower card generator with open source AI
pricing 61 42.9× 1589 ⚠️ RAG Fracture
https://www.baseten.co/blog/mcm-cloud-ecosystem-partners-nvidia/
How Baseten MCM, our cloud ecosystem partners, and NVIDIA drive fast, reliable inference at scale
pricing 61 84.0× 715 ⚠️ RAG Fracture
https://www.baseten.co/blog/joey-zwicker-joins-baseten-as-head-of-fde/
Joey Zwicker joins Baseten as Head of FDE
pricing 61 57.0× 1020 ⚠️ RAG Fracture
https://www.baseten.co/blog/understanding-voxtral-vs-whisper-build-a-voice-controlled-smart-home-app/
Voxtral vs. Whisper: Build a Voice-Controlled Smart Home App
pricing 61 59.4× 1019 ⚠️ RAG Fracture
https://www.baseten.co/blog/four-bits/
Four Bits
pricing 61 26.2× 4631 ⚠️ RAG Fracture
https://www.baseten.co/blog/announcing-the-acquihire-of-inferless-by-baseten/
Announcing the acquihire of Inferless by Baseten
pricing 61 99.8× 565 ⚠️ RAG Fracture
https://www.baseten.co/blog/minimax-m2-5-intelligence-too-cheap-to-meter-rl-process-rewards-real-world-produc/
MiniMax M2.5: Intelligence too cheap to meter, RL process rewards, real-world productivity
pricing 61 48.2× 1023 ⚠️ RAG Fracture
https://www.baseten.co/blog/how-we-built-the-fastest-kimi-k2-5-on-artificial-analysis/
How we built the fastest Kimi K2.5 on Artificial Analysis
pricing 61 65.5× 957 ⚠️ RAG Fracture
https://www.baseten.co/blog/openclaw-kimi-k2-5-on-baseten-frontier-agent-performance-with-oss/
OpenClaw + Kimi K2.5 on Baseten = frontier agent performance with OSS
pricing 61 105.0× 627 ⚠️ RAG Fracture
https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/
The Baseten Inference Stack at NVIDIA Dynamo Day
pricing 61 48.7× 1209 ⚠️ RAG Fracture
https://www.baseten.co/blog/boosting-mtp-acceptance-rates-in-baseten-speculation-engine/
Open-Sourcing Baseten’s Suffix Automaton MTP Accelerator
pricing 61 48.2× 1401 ⚠️ RAG Fracture
Showing 20 of 74 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/ 57 60 1% 69.8× Bot Blocked
/resources/ 7 53 1% 73.1× Bot Blocked
/pricing/ 2 56 0% 115.8× High JS Bloat
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 56 0% 79.7× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 74 pages
linkedin.com ×67
status.baseten.co ×67
youtube.com ×67
trust.baseten.co ×67
x.com ×67
github.com ×67
login.baseten.co ×67
baseten.com ×67
🔄 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/baseten.co

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

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📊 Semantic Share of Voice

How often would an AI cite baseten.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 baseten.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": "Baseten",
  "url": "https://baseten.co",
  "logo": "https://baseten.co/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": "Baseten",
  "url": "https://baseten.co",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://baseten.co/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 8% 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 Baseten?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Baseten does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Baseten work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Baseten."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
72
Projected Score
90
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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