GEO
Cover illustration for llms.txt explained..
GEO

llms.txt explained.

A robots.txt for the answer engines. Adoption is uneven, the spec is in flux, and an hour spent on it pays back inside a quarter.

Coming online in 2026Notes filed April 2026

llms.txt is a proposed convention, akin to robots.txt, for telling LLM-powered crawlers which pages on a site are canonical sources, which are duplicates, and which to skip. Adoption inside the major engines is uneven in 2026, but the cost of shipping one is small and the upside is real: a clean llms.txt that points the answer engines at primary-source pages, like our case studies and our reports, materially improves citation quality. Our own llms.txt is the worked example, and the longform with the per-section template ships in June 2026.

Get this built for your business

We deploy missed-call text-back, review automation, and follow-up systems for businesses like yours. Start with a free audit.

Full guide ships 2026.

Or run a free diagnostic

See where your business is leaking money, time, and owner dependency. Free, no signup.

Related reading