Qwairy
Technical

AI Crawler

Automated web client operated by an AI company for model training, AI search, or user-requested retrieval.

What is AI Crawler?

AI crawlers are automated clients that request web pages for several distinct purposes: model training, AI search indexing, or retrieval initiated by a user. Documented examples include GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, Claude-User, and PerplexityBot. A robots.txt control token is not necessarily an observable HTTP user agent: Google-Extended, for example, controls Google's AI use of content fetched by other crawlers and should not be reported as a separate visit. Allowing a crawler only permits access; it does not guarantee indexing, training use, retrieval, or citation.

How Qwairy Makes This Actionable

Qwairy classifies documented, observable AI user agents in connected server logs. Crawler Analytics shows observed occurrence totals, retained frequency, requested page groups, HTTP responses, and coverage caveats without treating robots.txt control tokens as visits.

Frequently Asked Questions

Their documented purposes differ. Some AI user agents collect training data, some maintain AI-search indexes, and others fetch a page for a user's request. Googlebot primarily supports Google's search products. Blocking one documented AI user agent can limit that specific access path, but it does not prove a downstream effect on rankings, retrieval, or citations.

Choose per documented purpose and your legal, licensing, privacy, and visibility requirements. Distinguish observable user agents from robots.txt-only control tokens, review each operator's current documentation, and verify the effect in your own server logs. Crawler activity is evidence of requests received, not of downstream use.

No. An observed request only proves that the connected logs recorded that user agent requesting the page. Indexing, model use, retrieval, and citation are separate downstream events. Evaluate crawler observations alongside citation monitoring and AI referral traffic without assuming causation.
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Related Terms

GPTBot

Technical

OpenAI's web crawler for content that may be used to train generative AI models, separate from the OAI-SearchBot search crawler.

ClaudeBot

Technical

Anthropic's web crawler that collects public web content to train and improve Claude models; site owners control its access via robots.txt.

ChatGPT-User

Technical

User-agent OpenAI uses when ChatGPT fetches webpages in real time during a conversation, distinct from the GPTBot training crawler.

OAI-SearchBot

Technical

OpenAI's search crawler that indexes the web to power ChatGPT Search, separate from GPTBot (training) and ChatGPT-User (live browsing).

Google-Extended

Technical

Robots.txt control token letting publishers decide whether Google may use crawled content to train and ground its Gemini AI models.

PerplexityBot

Technical

Perplexity AI's web crawler used to index and retrieve content for real-time AI search responses.

CCBot

Technical

Common Crawl's web crawler that collects data to create an open repository of web crawl data.

robots.txt

Technical

Text file placed at the root of a website to indicate to indexing robots which pages to explore or avoid.

llms.txt

Technical

Proposed file format offering a structured summary of a site's content to optimize its understanding by LLMs.

Retrieval Augmented Generation(RAG)

Technical

AI architecture that retrieves relevant information from external sources in real-time before generating responses.

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AI Citation Tracking

Practice of systematically tracking where, how often, and in what context a brand or its content is cited in AI responses.

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AI Hallucination

When an AI model generates factually incorrect, fabricated, or misleading information presented as truth.

← Back to GlossaryLast updated Jun 9, 2026