Claude works differently from all other LLMs: its search system doesn\u2019t rely on Bing or Google; it evaluates information with its own logic, and it cites sources only when the content genuinely fills a gap in its knowledge.<\/p>\n\n\n\n
We know this because we spent time breaking down how Claude rewrites and interprets queries, how it decides when to search, and how it chooses which pages deserve a link. This guide walks you through what we found happening in the backend, so you can understand how a brand\u2019s content gets surfaced in Claude\u2019s answers<\/p>\n\n\n\n
In Part 2<\/em><\/strong>, we will turn these learnings into practical strategies you can use to reach Claude\u2019s <\/em>fast-growing user base<\/em><\/a>of developers, engineers, analysts, researchers, and writers across the U.S. who use Claude to solve real problems in their workflows, not for casual browsing.<\/em><\/p>\n\n\n\n Claude relies on two sources when answering questions:<\/p>\n\n\n\n Because Claude pulls directly from Brave, your content must<\/em> be present in Brave\u2019s index before it can ever appear in a Claude citation.<\/p>\n\n\n\n Brave builds its index in two ways. The first is through the Web Discovery Project<\/a>, where Brave users who opt in share anonymous signals about the pages they visit, helping Brave identify and learn about new URLs. <\/p>\n\n\n\n The second is through Brave\u2019s crawler<\/a>. It doesn\u2019t use a distinct user agent, but Brave notes that if a page is not crawlable by Googlebot, their crawler will not crawl it either. If a site\u2019s URL is still missing, users can also submit it through the feedback option on Brave Search.<\/p>\n\n\n\n Brave\u2019s reduced bias on domain authority means smaller or newer SaaS products can surface more easily, as long as their site is technically accessible. So keep your important pages crawlable, and review your robots.txt<\/a>\/ llm.txt<\/a> files to ensure you have not accidentally hidden key documentation and product information from AI crawlers<\/a>.<\/p>\n\n\n\nTL:DR<\/strong><\/summary>\n
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Where Does Claude Get Its Info?<\/h2>\n\n\n\n
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How Claude’s Search Models Works<\/h2>\n\n\n\n