Llama User Agents

Understanding how Meta's Llama AI accesses and indexes web content

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Meta's Llama AI uses two primary user agents to access web content: 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Meta Llama/1.0)' for general browsing and 'Mozilla/5.0 (compatible; MetaAIBot/1.0)' for web crawling operations. Website owners can control Llama's access through robots.txt directives and optimize their content by using clear HTML structure, accurate information, and proper schema markup.

What Are Llama User Agents?

Meta's Llama is a powerful large language model that can access web content through various integrations. Understanding Llama's user agents is important for website owners who want to optimize their content for Llama or control how their content is accessed by Meta's AI systems.

How Can I Identify Llama User Agents?

Llama identifies itself with specific user agents when accessing web content. Here are the known Llama user agents:

Main Llama User Agent

Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Meta Llama/1.0; +https://ai.meta.com)

This is the primary user agent used by Llama when browsing the web.

Meta AI Crawler

Mozilla/5.0 (compatible; MetaAIBot/1.0; +https://www.meta.com/ai/bot)

This user agent is used for Meta AI's web crawling operations, which may include gathering data for Llama.

How Llama Accesses Web Content

Llama accesses web content in several ways:

  • Direct user requests - When a user asks Llama to retrieve information from a specific URL
  • Through Meta AI interfaces - When users interact with Llama through Meta products
  • Via third-party integrations - When Llama is integrated into other applications and services

How Can I Control Llama's Access to My Content?

Website owners can control how Llama accesses their content through:

Robots.txt Configuration

You can use the following directives in your robots.txt file:

# Block all Meta AI access
User-agent: MetaAIBot
Disallow: /

# Block Meta AI from specific sections
User-agent: MetaAIBot
Disallow: /private/
Disallow: /members-only/

How Can I Optimize Content for Llama?

To ensure your content performs well when accessed by Llama:

  • Use clear, structured content with proper HTML semantics
  • Ensure factual accuracy and provide comprehensive information
  • Make content accessible without heavy reliance on JavaScript
  • Include relevant metadata and schema markup
  • Optimize for mobile viewing, as many Llama interactions occur on mobile devices

How Can I Track Llama Visits to My Website?

With xseek, you can track when and how Llama accesses your content:

  • Monitor Meta AI user agent visits in your analytics dashboard
  • Track which content Llama is accessing most frequently
  • Analyze how your content appears in Llama-powered responses
  • Receive notifications about changes in Meta AI crawling patterns

Frequently Asked Questions

What are Llama's user agent strings?

Llama uses two main user agent strings: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Meta Llama/1.0) for general web browsing, and Mozilla/5.0 (compatible; MetaAIBot/1.0) for Meta AI's web crawling operations. These identifiers help webmasters recognize and manage Llama's access to their content.

How can I block Llama AI from accessing my website?

You can block Llama AI access by adding the specific Meta Llama and MetaAIBot user agents to your robots.txt file or by implementing user agent filtering in your server configuration. Add these directives to your robots.txt:

User-agent: MetaAIBot
Disallow: /

This will prevent Meta AI from crawling your entire website. You can also block specific sections by adjusting the Disallow paths.

Is Llama crawling my website different from regular search engines?

Yes, Llama's crawling is specifically for AI training and content access, unlike traditional search engine indexing. It uses distinct user agents and may access content differently than standard web crawlers. While search engines like Google index content for search results, Llama accesses content to understand context, answer questions, and provide AI-powered responses. The crawling patterns and frequency may also differ from traditional search engine bots.

Related User Agents

Learn about other AI user agents to better manage your website's interaction with AI systems:

Track AI Bots on Your Website

Start monitoring AI user agents and optimize your content for better AI visibility with xseek.