An llms.txt file is a low-cost, upside-only move for AI visibility, but it's a helper, not a lever. The idea is simple: a plain-Markdown file at the root of your domain that gives language models a curated, human-readable map of your most important pages — what you do, your key products or services, your documentation, your canonical answers — without making them wade through navigation, scripts and marketing chrome. Where a model or its crawler supports it, that lowers the effort of understanding you correctly and points it at the exact pages you want quoted. What llms.txt does not do is manufacture authority: it won't get you named if the underlying entity signals, citations and reviews aren't there, and adoption across the major assistants is still early and uneven. Treat it the way you'd treat a good sitemap — a clarity signal that helps the models that use it and costs nothing with the ones that don't. The move is to publish a tight, accurate llms.txt that links your canonical pages in buyers' language, then earn the third-party citations that actually decide the answer.
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