You cannot directly instruct AI language models to prioritize specific pages from your site, but you can make it significantly easier for them to find, understand, and use your most important content. One practical method is adding an llms.txt file to your domain root—a plain-text document that outlines your site’s structure, key pages, and their purpose, formatted specifically for AI agents and crawlers rather than human readers.
Beyond llms.txt, on-page signals matter. Content that opens with a clear, direct answer to the question the page addresses is more likely to be extracted by AI systems than content that buries the key point. Proper use of heading hierarchy (H1, H2, H3), FAQ schema markup, concise meta descriptions, and internal linking from high-authority pages all signal which content is most important and what it covers.
Technical accessibility is also a factor. Pages that are crawlable, indexed, and load quickly on all devices are more likely to be included in AI training and retrieval pools. Combining these structural signals with factually accurate, well-sourced content gives your highest-priority pages the best possible chance of being recognized and used.
