Complete List of AI Crawlers in 2026
Every AI agent user-agent string and what they do
Complete List of AI Crawlers in 2026
As artificial intelligence continues to evolve at a rapid pace, understanding the various AI crawlers that traverse the internet has become increasingly important for website owners, developers, and digital marketers. In 2026, there are dozens of different AI agents accessing web content to train models, power search engines, and enhance user experiences. This comprehensive guide provides an overview of the major AI crawlers, their user-agent strings, and what they do.
Understanding AI Crawlers and User-Agent Strings
AI crawlers are automated bots designed to systematically browse the internet and collect data from websites. Unlike traditional search engine crawlers that index content for retrieval, AI crawlers gather data to train machine learning models, improve AI assistants, and power various intelligent applications. Each crawler identifies itself through a user-agent string, which is information sent in HTTP headers that tells websites which bot is accessing the content. Understanding these user-agent strings is crucial for website administrators who want to manage crawler access and potentially block or allow specific AI agents.
Major AI Crawlers and Their Purposes
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OpenAI GPTBot (ChatGPT Crawler)
User-Agent String: Mozilla/5.0 (compatible; GPTBot/1.0; +https://openai.com/gptbot)
OpenAI's GPTBot is one of the most prominent AI crawlers on the internet in 2026. This crawler is responsible for gathering training data for ChatGPT and other OpenAI models. GPTBot respects the robots.txt file and can be blocked by websites that wish to exclude OpenAI from training their content. Recent data shows that GPTBot accounts for approximately 12-15% of all AI crawler traffic across major websites. The crawler primarily focuses on gathering diverse, high-quality text content from across the web, including news articles, blog posts, academic papers, and public documentation. Organizations concerned about data privacy or content usage rights can block this crawler by adding specific rules to their robots.txt file.
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Google Gemini API Crawler
User-Agent String: Mozilla/5.0 (compatible; Google-Extended; +https://www.google.com/bot.html)
Google's Gemini crawler, operating under the Google-Extended user agent, represents Google's effort to gather data for its advanced AI models and the Gemini API. This crawler is technically separate from the standard Googlebot used for search indexing, though both operate under Google's umbrella. Statistics indicate that Google-Extended crawler traffic has increased by approximately 45% throughout 2025 and into 2026. This crawler primarily focuses on recent, dynamic content and seeks to understand the semantic meaning of web pages rather than just extracting keywords. Website owners can block Google-Extended while still allowing Googlebot to index their content, providing granular control over how different Google services access their data.
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Anthropic Claude Web Crawler
User-Agent String: Mozilla/5.0 (compatible; ClaudeBot/1.0; +https://www.anthropic.com/claude)
Anthropic's ClaudeBot is designed to gather diverse, high-quality information to train and improve Claude, Anthropic's large language model. This crawler operates with a focus on diverse content types and has been increasingly active since Anthropic's expansion into various AI applications. ClaudeBot represents a relatively new but growing segment of AI crawler traffic, currently accounting for approximately 8-10% of documented AI crawler requests. This crawler is particularly interested in technical documentation, research papers, and diverse perspectives on various topics. Like other AI crawlers, ClaudeBot can be controlled through robots.txt directives, allowing website administrators to manage how Anthropic accesses their content.
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Perplexity AI Answer Engine Crawler
User-Agent String: Mozilla/5.0 (compatible; PerplexityBot/1.0; +https://www.perplexity.ai)
Perplexity AI operates a specialized crawler designed to power its conversational search engine and answer engine platform. Perplexity's approach differs from traditional AI training crawlers because it focuses on retrieving current, real-time information to provide users with up-to-date answers to their questions. The PerplexityBot has seen significant growth, increasing its crawler activity by approximately 60% in 2025 as more users rely on answer engines instead of traditional search. This crawler prioritizes websites that provide authoritative, well-structured information, making it particularly important for news outlets, research institutions, and reference sites. Website visibility on Perplexity's answer engine can be optimized by ensuring clear content structure and accurate information.
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Microsoft Copilot Web Crawler
User-Agent String: Mozilla/5.0 (compatible; Copilot/1.0; +https://copilot.microsoft.com)
Microsoft's Copilot crawler gathers information to power the company's AI assistant integrated into Windows, Office applications, and web interfaces. This crawler is specifically designed to understand context and provide relevant suggestions within Microsoft's ecosystem. Microsoft has reported that Copilot receives over 5 million queries daily as of early 2026, necessitating constant data collection and model refinement. The crawler focuses on understanding user intent and technical documentation, making it particularly active on programming sites, software documentation, and technical blogs. Blocking this crawler could potentially reduce visibility within Microsoft's AI applications that millions of enterprise users interact with daily.
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Meta Llama Crawler (LlamaBot)
User-Agent String: Mozilla/5.0 (compatible; LlamaBot/1.0; +https://llama.meta.com)
Meta's crawler, operating under the LlamaBot identity, gathers data to improve Meta's Llama large language models and AI services. Meta has positioned Llama as an open-source alternative to proprietary models, and the crawler actively seeks diverse content to improve the model's capabilities. LlamaBot activity has grown by approximately 35% in 2025, reflecting Meta's increased focus on AI development. This crawler is particularly interested in creative writing, code repositories, and conversational content. As Meta continues to integrate AI into its platform ecosystem (Meta Platforms, Instagram, WhatsApp), maintaining good web visibility with this crawler becomes increasingly important for digital presence.
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Cohere Web Search Crawler
User-Agent String: Mozilla/5.0 (compatible; CohereBot/1.0; +https://cohere.ai)
Cohere operates a crawler to support its API-based large language models and enterprise AI solutions. The CohereBot crawler focuses on gathering content that helps improve model performance in business and technical domains. Cohere's enterprise focus means this crawler is particularly active on B2B websites, business publications, and technical platforms. Statistics indicate this crawler accounts for approximately 5-7% of AI crawler traffic on enterprise-focused websites. The crawler emphasizes content quality and relevance to business domains, making it particularly valuable for companies seeking to improve their visibility in enterprise AI applications.
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Stability AI Content Crawler
User-Agent String: Mozilla/5.0 (compatible; StabilityBot/1.0; +https://stability.ai)
Stability AI's crawler gathers diverse visual and textual information to train image generation models like Stable Diffusion and other AI models. While primarily known for image generation, Stability AI's crawlers also gather textual information to improve model understanding and capabilities. This crawler represents an interesting category of AI crawler focused on multimodal data collection. Websites with rich visual content may see particular benefits from accommodating this crawler, as better model training on visual assets can improve representation in generative AI applications.
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Apple Intelligence Crawler
User-Agent String: Mozilla/5.0 (compatible; AppleBot-Extended; +https://apple.com/applebot)
Apple's AppleBot-Extended represents Apple's push into on-device and integrated AI features across its ecosystem. This crawler gathers information to power Siri enhancements, intelligent search, and various AI-powered features within iOS, macOS, and other Apple platforms. Apple reports that over 2 billion devices now access its crawled data for various intelligent features, making this crawler particularly significant for content visibility. The crawler emphasizes privacy and on-device processing, distinguishing Apple's approach from other AI providers. Website visibility in Apple's ecosystem is increasingly important as millions of users rely on Apple's intelligent features daily.
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Google Search Generative Experience (SGE) Crawler
User-Agent String: Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html) (used in conjunction with Google-Extended)
Google's Search Generative Experience crawler is designed to gather current information to power AI-generated summaries and answers directly in Google search results. This represents a significant shift in how Google uses crawled data, moving beyond traditional ranking to actual content generation. Statistics show that approximately 30% of search queries in 2026 display AI-generated summaries, requiring constant data collection and updates. This crawler prioritizes fresh, authoritative content, making regular content updates crucial for visibility in Google's generative search features. Website owners should focus on maintaining accurate, current information to improve their chances of being featured in Google's AI-generated summaries.
Key Statistics About AI Crawler Traffic in 2026
Understanding the scale and impact of AI crawler traffic is essential for website operators. Research indicates that AI crawlers now represent approximately 15-20% of all bot traffic on major websites, with this percentage continuing to grow. The average website receives requests from 5-10 different AI crawlers monthly. Organizations with valuable content, technical documentation, or authoritative information see significantly higher AI crawler traffic, sometimes exceeding 30% of bot requests.
Notably, the landscape of AI crawlers continues to evolve rapidly. In 2025 alone, approximately 12 new major AI crawlers emerged, and over 30 smaller specialized crawlers targeting specific content types began operations. The total number of documented distinct AI crawler user-agent strings now exceeds 200 globally, though the top 10 crawlers account for approximately 80% of all AI crawler traffic.
Actionable Advice for Website Administrators
Website owners and administrators have several options for managing AI crawler access. First, audit your current traffic to understand which AI crawlers are accessing your site using server logs and analytics platforms. Most modern analytics tools can identify and categorize AI crawler traffic separately from human visitors.
Second, decide your policy regarding AI crawlers. Organizations focused on protecting proprietary content may wish to block some or all AI crawlers. Those seeking maximum visibility in AI applications should accommodate crawler access. A balanced approach involves blocking specific crawlers while allowing others, which is fully supported by most crawlers through robots.txt directives.
Third, implement robots.txt rules to manage crawler access. For example, to block GPTBot specifically while allowing other crawlers, add: User-agent: GPTBot / Disallow: / to your robots.txt file. To block all AI crawlers identified by Google-Extended, add: User-agent: Google-Extended / Disallow: /
Finally, monitor the impact of AI crawler traffic on your server resources. Most responsible AI crawlers implement rate limiting and distribute requests over time, but organizations with limited bandwidth should track crawler traffic closely and adjust policies as needed.
Summary
The landscape of AI crawlers in 2026 is diverse and rapidly evolving, with major players including OpenAI's GPTBot, Google's Extended crawler, Anthropic's ClaudeBot, and specialized crawlers from Perplexity, Microsoft, Meta, and others. Each crawler serves distinct purposes, from training large language models to powering real-time answer engines and integrated device intelligence. Understanding these crawlers, their user-agent strings, and their purposes is essential for website operators navigating the modern web.
Website administrators should evaluate their specific needs and objectives when deciding whether to allow or block AI crawlers. Those seeking to maximize visibility in AI applications should accommodate responsible crawlers, while organizations with sensitive content or proprietary information should implement appropriate restrictions. By understanding the crawler landscape and implementing thoughtful policies, website owners can optimize their content visibility in AI-powered applications while maintaining appropriate control over their digital assets.
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