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Ausgestellt am sig: 45e768d3f680ab0b Verifizieren →

Analysierte URL

https://omniasec.ai/

Gemessen vor 3 Wochen

Weitere URL analysieren

KI-Ready Score

Befriedigend

von 100

Token-Einsparung

HTML-Tokens 13.402
Markdown-Tokens 582
Einsparung 96%

Score-Aufschlüsselung

Zugänglichkeit 94/100
KI-Auffindbarkeit 45/100
Strukturierte Daten 33/100
Semantisches HTML 88/100
Inhaltseffizienz 73/100

Emerging Protocols

0 von 6 erkannt

Well-known-Endpunkte, nach denen KI-Agenten suchen. Erkannt bedeutet, dass ein Agent Ihren Dienst automatisch finden und verbinden kann.

  • 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

Das bleibt nicht so. Monitoring gibt es noch nicht — tragen Sie sich ein, wir melden uns zum Start.

Sie stehen auf der Liste! Wir benachrichtigen Sie, sobald es verfügbar ist.

Was wir gemessen haben No JSON-LD / Schema.org found

Keine Schema.org-strukturierten Daten gefunden. JSON-LD hilft KI-Agenten, faktische, strukturierte Informationen aus Ihren Seiten zu extrahieren.

So implementieren Sie es

Fügen Sie einen <script type="application/ld+json">-Block mit Schema.org-Markup hinzu. Verwenden Sie passende Typen: Article für Blogbeiträge, Product für Produktseiten, Organization für Ihre Unternehmensseite.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben No Markdown for Agents support detected

Ihre Website unterstützt kein Markdown for Agents. Dieser Cloudflare-Standard ermöglicht KI-Agenten, Inhalte im Markdown-Format anzufordern und reduziert den Token-Verbrauch um ~80%.

So implementieren Sie es

Implementieren Sie eines oder mehrere: (1) Auf Accept: text/markdown mit Markdown-Inhalt antworten. (2) .md-URLs bereitstellen (z.B. /seite.md). (3) <link rel="alternate" type="text/markdown">-Tags hinzufügen. (4) Link-HTTP-Header für Markdown-Erkennung hinzufügen.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben No sitemap found

Keine Sitemap gefunden. Eine Sitemap hilft KI-Agenten, alle Seiten Ihrer Website zu entdecken.

So implementieren Sie es

Erstellen Sie eine /sitemap.xml, die alle Ihre öffentlichen Seiten auflistet. Die meisten CMS-Plattformen können diese automatisch generieren.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben No canonical URL

Keine kanonische URL gefunden. Diese hilft KI-Agenten, die bevorzugte Version einer Seite zu identifizieren und doppelte Inhalte zu vermeiden.

So implementieren Sie es

Fügen Sie ein <link rel="canonical" href="...">-Tag hinzu, das auf die kanonische URL der Seite verweist.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben No llms.txt found

Ihre Website hat keine llms.txt-Datei. Dies ist der aufkommende Standard, um KI-Agenten beim Verständnis Ihrer Website-Struktur zu helfen.

So implementieren Sie es

Erstellen Sie eine /llms.txt-Datei gemäß der llmstxt.org-Spezifikation. Fügen Sie eine Beschreibung Ihrer Website und Links zu Ihren wichtigsten Seiten hinzu.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben No Content-Signal found (robots.txt or HTTP headers)

Keine Content-Signal-Direktiven gefunden. Diese teilen KI-Agenten mit, wie sie Ihre Inhalte verwenden dürfen (Suchindexierung, KI-Eingabe, Trainingsdaten). Der empfohlene Ort ist robots.txt.

So implementieren Sie es

Fügen Sie Content-Signal zu Ihrer robots.txt hinzu: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Sie können es auch als HTTP-Header bei Markdown-Antworten hinzufügen.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)

Ihre Seite hat ein niedriges Verhältnis von tatsächlichem Inhalt zum gesamten HTML. Ein Großteil des Seitengewichts besteht aus Markup, Skripten oder Styles statt Inhalt.

So implementieren Sie es

Verlagern Sie CSS in externe Stylesheets, entfernen Sie Inline-Styles, minimieren Sie JavaScript und stellen Sie sicher, dass sich das HTML auf die Inhaltsstruktur konzentriert.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben 12 semantic elements, 85 divs (ratio: 12%)

Ihre Seite stützt sich stark auf <div>-Elemente. Semantische Elemente wie <section>, <nav>, <header>, <footer> und <aside> bieten eine sinnvolle Struktur für KI-Agenten.

So implementieren Sie es

Ersetzen Sie generische <div>-Container durch passende semantische Elemente. Verwenden Sie <section> für thematische Gruppen, <nav> für Navigation, <header>/<footer> für Seiten-/Abschnittskopf und -fußzeilen.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben 2/3 OG tags present

Fehlende oder unvollständige Open-Graph-Tags. OG-Tags helfen KI-Agenten (und sozialen Plattformen), Titel, Beschreibung und Bild Ihrer Seite zu verstehen.

So implementieren Sie es

Fügen Sie og:title, og:description und og:image Meta-Tags zum <head> Ihrer Seite hinzu.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt

Was wir gemessen haben 4/275 elements with inline styles (1.5%)

Viele Elemente haben Inline-Style-Attribute. Diese erzeugen Rauschen für KI-Agenten bei der Inhaltsextraktion.

So implementieren Sie es

Verlagern Sie alle Inline-Styles in CSS-Klassen in Ihrem Stylesheet. Verwenden Sie Utility-CSS-Frameworks wie Tailwind, wenn Sie viele individuelle Styles benötigen.

In einen Coding-Agenten einfügen, der die Korrektur vornimmt
Markdown-Tokens: 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)

Laden Sie diese Datei als /index.md auf Ihren Server hoch, damit KI-Agenten auf eine saubere Version Ihrer Seite zugreifen können. Sie können auch die Accept: text/markdown-Inhaltsverhandlung konfigurieren, um sie automatisch auszuliefern.

Generierte llms.txt für diese einzelne Seite

llms.txt herunterladen
# 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/)

Vollständige llms.txt erfordert eine domainweite Analyse (kommt bald)

Laden Sie diese Datei als https://omniasec.ai/llms.txt im Stammverzeichnis Ihrer Domain hoch. KI-Agenten wie ChatGPT, Claude und Perplexity prüfen diese Datei, um Ihre Website-Struktur zu verstehen.

Zugänglichkeit

Inhalt ohne JavaScript verfügbar (100/100)

Content available without JavaScript

Inhalt erscheint früh im HTML (75/100)

Main content starts at 22% of HTML

Angemessene Seitengröße (100/100)

Page size: 35KB

KI-Auffindbarkeit

robots.txt erlaubt KI-Bots (100/100)

All major AI search bots allowed

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

No sitemap found

Hat robots.txt-Datei (100/100)

robots.txt exists

Hat llms.txt-Datei (0/100)

No llms.txt found

Hat Content-Signal (robots.txt oder HTTP-Header) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

Strukturierte Daten

Hat Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Hat Open-Graph-Tags (67/100)

2/3 OG tags present

Hat Meta-Beschreibung (50/100)

Meta description too short: 5 chars

Hat kanonische URL (0/100)

No canonical URL

Hat lang-Attribut (100/100)

lang="en"

Semantisches HTML

Korrekte Überschriftenhierarchie (100/100)

Clean heading hierarchy

Verwendet article- oder main-Element (100/100)

Has <main>

Verwendet semantische HTML-Elemente (41/100)

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

Aussagekräftige Bild-Alt-Texte (100/100)

36/36 images with meaningful alt text

Geringe div-Verschachtelungstiefe (100/100)

Avg div depth: 2.0, max: 3

Inhaltseffizienz

Gutes Token-Reduktionsverhältnis (100/100)

96% token reduction (HTML→Markdown)

Gutes Inhalt-zu-Rausch-Verhältnis (25/100)

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

Angemessenes Seitengewicht (100/100)

HTML size: 35KB

Minimale Inline-Styles (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 llms.txt found"
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      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
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      "checkDetails": "2/3 OG tags present"
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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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  },
  "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.",
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      "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>",
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          "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\">"
        },
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          "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",
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          "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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