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URL analysée

https://omniasec.ai/

Mesuré il y a 3 semaines

Analyser une autre URL

Score AI-Ready

Passable

sur 100

Économie de tokens

Tokens HTML 13.402
Tokens Markdown 582
Économie 96%

Détail du score

Accessibilité 94/100
Visibilité IA 45/100
Données structurées 33/100
HTML sémantique 88/100
Efficacité du contenu 73/100

Protocoles émergents

0 sur 6 détectés

Endpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.

  • OAuth Protected Resource RFC 9728
    /.well-known/oauth-protected-resource
  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card SEP-1649 draft
    /.well-known/mcp/server-card.json
  • A2A Agent Card A2A v1.0
    /.well-known/agent-card.json
  • API Catalog RFC 9727
    /.well-known/api-catalog
  • Agent Skills index Discovery RFC v0.2.0 draft
    /.well-known/agent-skills/index.json

Cela ne reste pas en place. La surveillance n'existe pas encore : inscrivez-vous, on vous préviendra.

Vous êtes sur la liste ! Nous vous préviendrons lors du lancement.

Ce que nous avons mesuré No JSON-LD / Schema.org found

Aucune donnée structurée Schema.org trouvée. JSON-LD aide les AI agents à extraire des informations factuelles et structurées de vos pages.

Comment implémenter

Ajoutez un bloc <script type="application/ld+json"> avec du balisage Schema.org. Utilisez les types appropriés : Article pour les billets de blog, Product pour les produits, Organization pour la page de votre entreprise.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré No Markdown for Agents support detected

Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.

Comment implémenter

Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré No sitemap found

Aucun sitemap trouvé. Un sitemap aide les AI agents à découvrir toutes les pages de votre site.

Comment implémenter

Créez un /sitemap.xml listant toutes vos pages publiques. La plupart des CMS peuvent le générer automatiquement.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré No canonical URL

Aucune URL canonique trouvée. Cela aide les AI agents à identifier la version préférée d’une page et à éviter le contenu dupliqué.

Comment implémenter

Ajoutez une balise <link rel="canonical" href="..."> pointant vers l’URL canonique de la page.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré No llms.txt found

Votre site n’a pas de fichier llms.txt. C’est le standard émergent pour aider les AI agents à comprendre la structure de votre site.

Comment implémenter

Créez un fichier /llms.txt en suivant la spécification de llmstxt.org. Incluez une description du site et des liens vers vos pages principales.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré No Content-Signal found (robots.txt or HTTP headers)

Aucune directive Content-Signal trouvée. Celles-ci indiquent aux agents IA comment ils peuvent utiliser votre contenu (indexation, entrée IA, données d'entraînement). L'emplacement recommandé est robots.txt.

Comment implémenter

Ajoutez Content-Signal à votre robots.txt : User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Vous pouvez aussi l'ajouter comme en-tête HTTP sur les réponses markdown.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)

Votre page a un faible ratio de contenu réel par rapport au HTML total. Une grande partie du poids de la page est du balisage, des scripts ou des styles plutôt que du contenu.

Comment implémenter

Déplacez le CSS vers des feuilles de style externes, supprimez les styles en ligne, minimisez le JavaScript et assurez-vous que le HTML se concentre sur la structure du contenu.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré 12 semantic elements, 85 divs (ratio: 12%)

Votre page repose fortement sur les éléments <div>. Les éléments sémantiques comme <section>, <nav>, <header>, <footer> et <aside> fournissent une structure significative pour les AI agents.

Comment implémenter

Remplacez les conteneurs <div> génériques par les éléments sémantiques appropriés. Utilisez <section> pour les groupes thématiques, <nav> pour la navigation, <header>/<footer> pour les en-têtes et pieds de page ou de section.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré 2/3 OG tags present

Balises Open Graph manquantes ou incomplètes. Les balises OG aident les AI agents (et les plateformes sociales) à comprendre le titre, la description et l’image de votre page.

Comment implémenter

Ajoutez les balises meta og:title, og:description et og:image dans le <head> de votre page.

Collez-le dans un agent de code pour appliquer le correctif

Ce que nous avons mesuré 4/275 elements with inline styles (1.5%)

De nombreux éléments ont des attributs de style en ligne. Ils ajoutent du bruit pour les AI agents lors de l’extraction du contenu.

Comment implémenter

Déplacez tous les styles en ligne vers des classes CSS dans votre feuille de style. Utilisez des frameworks CSS utilitaires comme Tailwind si vous avez besoin de nombreux styles uniques.

Collez-le dans un agent de code pour appliquer le correctif
Tokens Markdown: 582
## The AI Security *Command Center.*

Orchestrate your security stack, analyze threats with AI, and stop attacks from one interface.

[Try Omnia →](https://app.omniasec.ai/login)

or install the CLI

`curl -fsSL https://omniasec.ai/cli-install | bash`

Our network

## Trusted Partners

Capabilities

## Built for modern security teams

### Chat

Ask Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.

### Custom Agents

Create personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.

### Templates & Prompts

Build reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.

### Knowledge

Upload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.

### MCPs

Connect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.

### Community

Share and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.

Chat

## Your AI security analyst, one message away

Deobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.

![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)

File Analysis

## Upload any file, uncover hidden threats

Submit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.

![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)

Market Intelligence

## Monitor every marketplace, spot risks early

Search and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.

![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)

Workflows

## Automate your security playbooks

Build automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.

![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)
Home | Omnia

[](https://omniasec.ai/)

[Try Omnia](https://app.omniasec.ai/login)

# The AI Security *Command Center.*

Orchestrate your security stack, analyze threats with AI, and stop attacks from one interface.

[Try Omnia →](https://app.omniasec.ai/login)

or install the CLI

`curl -fsSL https://omniasec.ai/cli-install | bash`

Our network

## Trusted Partners

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

Capabilities

## Built for modern security teams

### Chat

Ask Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.

### Custom Agents

Create personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.

### Templates & Prompts

Build reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.

### Knowledge

Upload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.

### MCPs

Connect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.

### Community

Share and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.

Chat

## Your AI security analyst, one message away

Deobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.

![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)

File Analysis

## Upload any file, uncover hidden threats

Submit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.

![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)

Market Intelligence

## Monitor every marketplace, spot risks early

Search and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.

![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)

Workflows

## Automate your security playbooks

Build automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.

![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)

Zero-day reads

[View all →](https://omniasec.ai/blog/)

[### Welcome to Omnia: Redefining Malware Analysis in the Age of AIMar 16, 2026](https://omniasec.ai/blog/welcome-to-omnia/)

\> |

## Ready to see what
Omnia can do?

Join the community redefining how we fight cyber threats.

[Try Omnia →](https://app.omniasec.ai/login)

Téléversez ce fichier sous /index.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.

llms.txt généré pour cette page individuelle

Télécharger llms.txt
# omniasec.ai

> Omnia

## Documentation
- [Docs](https://omniasec.ai/docs/)

## Main
- [Home | Omnia](https://omniasec.ai/): Omnia
- [About](https://omniasec.ai/about/)
- [Docs](https://omniasec.ai/docs/)
- [Bug Bounty](https://omniasec.ai/bug-bounty/)

## Blog
- [Blog](https://omniasec.ai/blog/)

## Legal
- [Privacy Policy](https://omniasec.ai/privacy-policy/)

Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)

Téléversez ce fichier vers https://omniasec.ai/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.

Accessibilité

Contenu disponible sans JavaScript (100/100)

Content available without JavaScript

Le contenu apparaît tôt dans le HTML (75/100)

Main content starts at 22% of HTML

Taille de page raisonnable (100/100)

Page size: 35KB

Visibilité IA

robots.txt autorise les bots IA (100/100)

All major AI search bots allowed

Support Markdown for Agents (0/100)
✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header
Possède un sitemap.xml (0/100)

No sitemap found

Possède un fichier robots.txt (100/100)

robots.txt exists

Possède un fichier llms.txt (0/100)

No llms.txt found

A Content-Signal (robots.txt ou en-têtes HTTP) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

Données structurées

Possède Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Possède des balises Open Graph (67/100)

2/3 OG tags present

Possède une meta description (50/100)

Meta description too short: 5 chars

Possède une URL canonique (0/100)

No canonical URL

Possède un attribut lang (100/100)

lang="en"

HTML sémantique

Hiérarchie de titres correcte (100/100)

Clean heading hierarchy

Utilise les éléments article ou main (100/100)

Has <main>

Utilise des éléments HTML sémantiques (41/100)

12 semantic elements, 85 divs (ratio: 12%)

Textes alternatifs descriptifs pour les images (100/100)

36/36 images with meaningful alt text

Faible profondeur d’imbrication des divs (100/100)

Avg div depth: 2.0, max: 3

Efficacité du contenu

Bon ratio de réduction de tokens (100/100)

96% token reduction (HTML→Markdown)

Bon ratio contenu/bruit (25/100)

Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)

Poids de page raisonnable (100/100)

HTML size: 35KB

Styles en ligne minimaux (50/100)

4/275 elements with inline styles (1.5%)

{
  "url": "https://omniasec.ai/",
  "timestamp": 1788288938884,
  "fetch": {
    "mode": "simple",
    "timeMs": 17,
    "htmlSizeBytes": 35943,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
      },
      "frontmatter": {
        "present": false,
        "fields": [],
        "level": "none"
      },
      "level": "none"
    },
    "statusCode": 200
  },
  "extraction": {
    "title": "Home | Omnia",
    "excerpt": "Omnia",
    "byline": null,
    "siteName": null,
    "lang": "en",
    "contentLength": 2138,
    "metadata": {
      "description": "Omnia",
      "ogTitle": "Home | Omnia",
      "ogDescription": "Omnia",
      "ogImage": null,
      "ogType": "website",
      "canonical": null,
      "lang": "en",
      "schemas": [],
      "robotsMeta": null,
      "author": null,
      "generator": "Astro v5.17.3",
      "markdownAlternateHref": null
    }
  },
  "markdown": "## The AI Security *Command Center.*\n\nOrchestrate your security stack, analyze threats with AI, and stop attacks from one interface.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n\nor install the CLI\n\n`curl -fsSL https://omniasec.ai/cli-install | bash`\n\nOur network\n\n## Trusted Partners\n\nCapabilities\n\n## Built for modern security teams\n\n### Chat\n\nAsk Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.\n\n### Custom Agents\n\nCreate personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.\n\n### Templates & Prompts\n\nBuild reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.\n\n### Knowledge\n\nUpload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.\n\n### MCPs\n\nConnect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.\n\n### Community\n\nShare and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.\n\nChat\n\n## Your AI security analyst, one message away\n\nDeobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.\n\n![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)\n\nFile Analysis\n\n## Upload any file, uncover hidden threats\n\nSubmit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.\n\n![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)\n\nMarket Intelligence\n\n## Monitor every marketplace, spot risks early\n\nSearch and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.\n\n![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)\n\nWorkflows\n\n## Automate your security playbooks\n\nBuild automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.\n\n![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)\n",
  "fullPageMarkdown": "Home | Omnia\n\n[](https://omniasec.ai/)\n\n[Try Omnia](https://app.omniasec.ai/login)\n\n# The AI Security *Command Center.*\n\nOrchestrate your security stack, analyze threats with AI, and stop attacks from one interface.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n\nor install the CLI\n\n`curl -fsSL https://omniasec.ai/cli-install | bash`\n\nOur network\n\n## Trusted Partners\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\nCapabilities\n\n## Built for modern security teams\n\n### Chat\n\nAsk Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.\n\n### Custom Agents\n\nCreate personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.\n\n### Templates & Prompts\n\nBuild reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.\n\n### Knowledge\n\nUpload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.\n\n### MCPs\n\nConnect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.\n\n### Community\n\nShare and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.\n\nChat\n\n## Your AI security analyst, one message away\n\nDeobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.\n\n![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)\n\nFile Analysis\n\n## Upload any file, uncover hidden threats\n\nSubmit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.\n\n![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)\n\nMarket Intelligence\n\n## Monitor every marketplace, spot risks early\n\nSearch and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.\n\n![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)\n\nWorkflows\n\n## Automate your security playbooks\n\nBuild automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.\n\n![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)\n\nZero-day reads\n\n[View all →](https://omniasec.ai/blog/)\n\n[### Welcome to Omnia: Redefining Malware Analysis in the Age of AIMar 16, 2026](https://omniasec.ai/blog/welcome-to-omnia/)\n\n\\> |\n\n## Ready to see what\nOmnia can do?\n\nJoin the community redefining how we fight cyber threats.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n",
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      "checkScore": 0,
      "checkDetails": "No JSON-LD / Schema.org found"
    },
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      "id": "add_markdown_negotiation",
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      "category": "aiDiscoverability",
      "titleKey": "rec.add_markdown_negotiation.title",
      "descriptionKey": "rec.add_markdown_negotiation.description",
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      "effort": "significant",
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      "checkScore": 0,
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      "id": "add_sitemap",
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      "checkScore": 0,
      "checkDetails": "No sitemap found"
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      "howToStepKeys": null,
      "effort": "quick-win",
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      "checkScore": 0,
      "checkDetails": "No canonical URL"
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      "estimatedImpact": 2.5,
      "maxImpact": 2.5,
      "evidence": "speculative",
      "checkScore": 0,
      "checkDetails": "No llms.txt found"
    },
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      "id": "add_content_signals",
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      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
      "descriptionKey": "rec.add_content_signals.description",
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      "estimatedImpact": 2.5,
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      "checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
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      "titleKey": "rec.improve_content_ratio.title",
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      "checkDetails": "12 semantic elements, 85 divs (ratio: 12%)"
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      "maxImpact": 4,
      "evidence": "plausible",
      "checkScore": 67,
      "checkDetails": "2/3 OG tags present"
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      "priority": "low",
      "category": "contentEfficiency",
      "titleKey": "rec.remove_inline_styles.title",
      "descriptionKey": "rec.remove_inline_styles.description",
      "howToKey": "rec.remove_inline_styles.howto",
      "howToStepKeys": null,
      "effort": "moderate",
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      "maxImpact": 1,
      "evidence": "speculative",
      "checkScore": 50,
      "checkDetails": "4/275 elements with inline styles (1.5%)"
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  "llmsTxtPreview": "# omniasec.ai\n\n> Omnia\n\n## Documentation\n- [Docs](https://omniasec.ai/docs/)\n\n## Main\n- [Home | Omnia](https://omniasec.ai/): Omnia\n- [About](https://omniasec.ai/about/)\n- [Docs](https://omniasec.ai/docs/)\n- [Bug Bounty](https://omniasec.ai/bug-bounty/)\n\n## Blog\n- [Blog](https://omniasec.ai/blog/)\n\n## Legal\n- [Privacy Policy](https://omniasec.ai/privacy-policy/)\n\n",
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    "botStatus": 200,
    "discriminates": false,
    "refusedAsBot": false,
    "edge": null,
    "verifiable": false,
    "detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
  },
  "snippets": [
    {
      "id": "add_llms_txt",
      "title": "Create /llms.txt",
      "description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
      "language": "markdown",
      "code": "# omniasec.ai\n\n> Omnia\n\n## Documentation\n- [Docs](https://omniasec.ai/docs/)\n\n## Main\n- [Home | Omnia](https://omniasec.ai/): Omnia\n- [About](https://omniasec.ai/about/)\n- [Docs](https://omniasec.ai/docs/)\n- [Bug Bounty](https://omniasec.ai/bug-bounty/)\n\n## Blog\n- [Blog](https://omniasec.ai/blog/)\n\n## Legal\n- [Privacy Policy](https://omniasec.ai/privacy-policy/)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_open_graph",
      "title": "Add missing Open Graph tags",
      "description": "Open Graph tags control how your page looks when shared on social media and how AI platforms preview your URL in answers.",
      "language": "html",
      "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://omniasec.ai/\">\n<meta property=\"og:type\" content=\"website\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://omniasec.ai/\">\n<meta property=\"og:type\" content=\"website\">"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Quick Open Graph tags without a plugin (skip if Yoast / Rank Math is active)\nadd_action('wp_head', function () {\n    if (!is_singular()) return;\n    $post = get_queried_object();\n    $title = get_the_title($post);\n    $desc  = get_the_excerpt($post) ?: wp_trim_words(strip_tags($post->post_content), 30);\n    $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n    $url   = get_permalink($post);\n    printf('<meta property=\"og:title\" content=\"%s\">' . \"\\n\", esc_attr($title));\n    printf('<meta property=\"og:description\" content=\"%s\">' . \"\\n\", esc_attr($desc));\n    printf('<meta property=\"og:image\" content=\"%s\">' . \"\\n\", esc_url($image));\n    printf('<meta property=\"og:url\" content=\"%s\">' . \"\\n\", esc_url($url));\n    echo '<meta property=\"og:type\" content=\"article\">' . \"\\n\";\n}, 5);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page.tsx",
          "code": "// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n  title: \"Home | Omnia\",\n  description: \"Omnia\",\n  openGraph: {\n    title: \"Home | Omnia\",\n    description: \"Omnia\",\n    url: \"https://omniasec.ai/\",\n    images: [\"https://yoursite.com/og-image.jpg\"],\n    type: 'website',\n  },\n};"
        }
      ]
    },
    {
      "id": "add_canonical_url",
      "title": "Add canonical URL",
      "description": "The canonical URL tells AI agents which version of the page is the \"official\" one, avoiding duplicate content issues.",
      "language": "html",
      "code": "<link rel=\"canonical\" href=\"https://omniasec.ai/\">",
      "filename": "<head>"
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"Home | Omnia\",\n  \"description\": \"Omnia\",\n  \"url\": \"https://omniasec.ai/\",\n  \"inLanguage\": \"en\"\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_sitemap",
      "title": "Create /sitemap.xml",
      "description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
      "language": "xml",
      "code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n  <url>\n    <loc>https://omniasec.ai/</loc>\n    <lastmod>2026-09-01</lastmod>\n  </url>\n</urlset>",
      "filename": "/sitemap.xml"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

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