mistral.ai 54 D
🛡️ SEO 50 🤖 GEO 57 ⚡ Perf 34 🏗️ Arch 77

mistral.ai — Global SEODiff Score 54/100

mistral.ai
📊

At 72/100, the ACRI for mistral.ai indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the government sector, mistral.ai outperforms the average (58), suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. Heavy markup overhead (50.0× bloat) forces AI systems to wade through excess code before finding useful information. 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.

54
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (34) needs urgent attention.
🎯 Top Fix: Reduce token bloat (103×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
📈 ACRI Trend 24 snapshots
Feb 22 Feb 28
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than mistral.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)57 × 0.40 = 22.8
⚡ Performance (20% weight)34 × 0.20 = 6.8
🏗️ Architecture & Trust (15% weight)77 × 0.15 = 11.5
Weighted sum = 12.5 + 22.8 + 6.8 + 11.5
Global SEODiff Score = 54 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
49
Structure
avg 36
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #14258
+26 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

mistral.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 mistral.ai ranks here

Tech stackNext.js
Industrygovernment
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

59 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

149 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Frontier AI LLMs, assistants, agents, services | Mistral AI
  • ✓ og:description — The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
  • ✓ 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

57/100 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 government sector, lancom-systems.com (ACRI: 83) 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 →
mistral.ai
41
Your ACRI Score
83
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. lancom-systems.com has schema coverage of 1 blocks and uses TYPO3. 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 30 elements (30 lists, 0 rows, 0 headers)
Total Words410
Raw Density7.3%

🏷️ 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

40
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability40/100 — AI models can partially extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (3.3 KB)Bloat (333.8 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context42% Optimized for Vision
Image Alt Coverage34 / 81 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 337.0 KB, but only 3.3 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.
💡Only 42% 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: 99.0% · SNR: 0.01 · Signal: 835 / Noise: 85442 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of mistral.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
Mistral AI provides open-weight generative AI models, aiming to offer a community-driven alternative to proprietary AI solutions and combat censorship and bias in the field.
Target Audience
Developers, AI researchers, enterprises seeking custom AI solutions, and organizations concerned with data privacy and responsible AI usage.
Pricing Model
Open-source models released under Apache 2.0 license; commercial offerings including optimized proprietary models for on-premise/VPC deployment.
🏆 Competitive Moat
Community-backed model development, open weights, and full control over the engine powering applications, offering a strong defense against black-box models and promoting transparency and auditability.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Reliance on black-box AI APIs and associated IP leakage risks
• Lack of customization and control over AI-generated content
• Concerns about censorship and bias in proprietary AI models
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-01 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time3772 ms
Raw HTML Size337.0 KB
Visible Text Size3.3 KB

Performance & Speed

34/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

3772 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

916
DOM nodes
337 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=14400
  • ✓ CDN cache status → MISS
  • ✓ 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

77/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

41
internal links
5
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 41/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for mistral.ai
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/mistral.ai" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=mistral.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 81 pages · Deep-10

Homepage ACRI
41
Single-page score
+13
Subpages outperform homepage
Δ delta
Site-Wide ACRI
55
Avg across 81 pages · Range 32–74
Topical Cohesion
18%
Topical Drift
TF-IDF cosine similarity
Total Words
65580
Avg Bloat
98.1×
RAG Fractures [?]
81
⚠️
81 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 81 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://mistral.ai/terms/enterprise-service-level-and-support-schedule
Term | Mistral AI
pricing 74 9.4× 1264 ⚠️ RAG Fracture
https://mistral.ai/news/debugging-memory-leak-in-vllm
Heaps do lie: debugging a memory leak in vLLM. | Mistral AI
pricing 68 13.5× 4399 ⚠️ RAG Fracture
https://mistral.ai/news/pixtral-12b
[Deprecated] Pixtral 12B | Mistral AI
pricing 63 24.2× 2024 ⚠️ RAG Fracture
https://mistral.ai/news/codestral-25-08
Announcing Codestral 25.08 and the Complete Mistral Coding Stack for Enterprise | Mistral AI
pricing 63 25.6× 1846 ⚠️ RAG Fracture
https://mistral.ai/news/voxtral-transcribe-2
Voxtral transcribes at the speed of sound. | Mistral AI
pricing 61 66.5× 964 ⚠️ RAG Fracture
https://mistral.ai/news/mistral-large-2407
Large Enough | Mistral AI
pricing 60 43.1× 987 ⚠️ RAG Fracture
https://mistral.ai/news/announcing-mistral-7b
Mistral 7B
pricing 60 47.8× 867 ⚠️ RAG Fracture
https://mistral.ai/news/about-mistral-ai
Bringing open AI models to the frontier
pricing 60 43.2× 940 ⚠️ RAG Fracture
https://mistral.ai/news/codestral
Codestral | Mistral AI
pricing 60 33.7× 1260 ⚠️ RAG Fracture
https://mistral.ai/news/codestral-2501
Codestral 25.01 | Mistral AI
pricing 60 58.0× 760 ⚠️ RAG Fracture
https://mistral.ai/news/ai-studio
Introducing Mistral AI Studio. | Mistral AI
pricing 60 38.0× 1123 ⚠️ RAG Fracture
https://mistral.ai/news/customization
My Tailor is Mistral | Mistral AI
pricing 60 62.4× 641 ⚠️ RAG Fracture
https://mistral.ai/news/ministraux
Un Ministral, des Ministraux | Mistral AI
pricing 60 68.4× 595 ⚠️ RAG Fracture
https://mistral.ai/news/mistral-chat
Mistral has entered the chat | Mistral AI
pricing 60 44.8× 924 ⚠️ RAG Fracture
https://mistral.ai/news/mistral-large
Au Large | Mistral AI
pricing 60 45.3× 919 ⚠️ RAG Fracture
https://mistral.ai/news/mixtral-of-experts
Mixtral of experts | Mistral AI
pricing 60 60.5× 668 ⚠️ RAG Fracture
https://mistral.ai/news/mixtral-8x22b
Cheaper, Better, Faster, Stronger | Mistral AI
pricing 60 74.7× 536 ⚠️ RAG Fracture
https://mistral.ai/news/pixtral-large
[Deprecated] Pixtral Large | Mistral AI
pricing 60 57.4× 723 ⚠️ RAG Fracture
https://mistral.ai/news/all-new-le-chat
The all new le Chat: Your AI assistant for life and work | Mistral AI
pricing 60 34.6× 1318 ⚠️ RAG Fracture
https://mistral.ai/news/september-24-release
AI in abundance | Mistral AI
pricing 60 57.5× 709 ⚠️ RAG Fracture
Showing 20 of 81 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/ 59 58 1% 77.4× Bot Blocked
/solutions/ 5 53 1% 76.1× Bot Blocked
/products/ 3 52 1% 105.7× Bot Blocked
/legal/ 2 44 1% 114.3× Bot Blocked
/models/ 1 53 1% 136.6× Bot Blocked
/services/ 1 52 1% 116.5× Bot Blocked
/about/ 1 42 1% 185.1× Bot Blocked
/license-mistral-models-for-nvidia-inference-microservices/ 1 32 1% 418.0× Bot Blocked
/partners/ 1 33 1% 610.1× Bot Blocked
/careers/ 1 42 1% 208.7× Bot Blocked
/brand/ 1 42 1% 148.4× Bot Blocked
/contact/ 1 32 1% 217.0× Bot Blocked
/terms/ 1 74 0% 9.4× High JS Bloat
/pricing/ 1 52 1% 141.4× Bot Blocked
/customers/ 1 52 1% 129.9× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 81 pages
docs.mistral.ai ×80
linkedin.com ×80
apps.apple.com ×80
play.google.com ×80
legal.mistral.ai ×80
x.com ×80
discord.gg ×80
console.mistral.ai ×78
🔄 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/mistral.ai

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

🔗 Similar government Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
mistral.ai (this site) 41 72 Next.js 103.3× 0
hacken.io 66 86 Next.js 46.3× 1 Compare →
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telegov.egov.com 66 74 Custom / Proprietary 2.9× 0 Compare →
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🎭

Bait & Switch Delta

B 3 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

52
Homepage ACRI
37
Inner Avg ACRI
+15
ACRI Delta
70%
Homepage Ghost
70%
Inner Avg Ghost
19
Drift Score [?]
Worst Inner Pages
42 70% pricing https://mistral.ai/about
32 70% pricing https://mistral.ai/contact
🛡️

E-E-A-T Trust Signals

C 40/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
🔗

Citation Profile

12 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

28
Total Links
12
Unique Domains
9.3
Avg/Page
43%
Diversity
x.com discord.gg console.mistral.ai play.google.com docs.mistral.ai legal.mistral.ai apps.apple.com linkedin.com help.mistral.ai api.dastra.eu
🏘️ Outbound Neighborhood Trust Avg Trust: 30.4

AI trust scores for the domains mistral.ai links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to mistral.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": "Mistral",
  "url": "https://mistral.ai",
  "logo": "https://mistral.ai/favicon.ico?favicon.75796e92.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": "Mistral",
  "url": "https://mistral.ai",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://mistral.ai/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 0% 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 Mistral?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Mistral does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Mistral work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Mistral."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

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