Insights on AEO strategy, AI-powered search, and how brands stay visible when answers replace links.
PerplexityBot is associated with broad crawling and index refreshes, while Perplexity-User is associated with user-triggered retrieval; official documentation confirms separate identifiers but does not prove every fresh-fetch responsibility.
ClaudeBot collects public-web content that may contribute to model training, Claude-SearchBot supports search indexing, and Claude-User retrieves pages for user questions. Each identity requires separate robots.txt and Crawl-delay decisions.
Googlebot is Google Search’s documented crawler, while Google-Extended is a robots.txt control for specified AI training and grounding uses of crawled content, including documented Gemini-related applications.
GPTBot may support training-related use, OAI-SearchBot supports ChatGPT search, and ChatGPT-User retrieves pages after user requests. Robots.txt controls are documented for the first two, while ChatGPT-User policy remains unresolved.
AI crawlers are automated clients whose roles vary across training, search indexing, user-triggered retrieval, and product control; user-agent strings, robots.txt, logs, and IP checks provide useful but limited evidence.
An AI discoverability self-audit tests technical retrievability, answer appearance, citation, and accurate representation separately using fixed prompts, documented evidence, entity checks, and cautious retesting.
AI discoverability is the layered process by which systems acquire information, interpret entities, retrieve relevant material, select sources, and present claims in generated answers; technical accessibility supports eligibility but never guarantees citation, recommendation, traffic, or influence.
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