5 min read
Why llms.txt matters for AI search in 2026
llms.txt is one of the cheapest, highest-leverage things you can add for AI visibility. Here’s what it does and why it works.
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AI visibility, GEO and SEO for the age of AI answers.
Search is splitting in two: people still type queries into Google, but a growing share now ask an AI assistant that answers directly. This blog is where we work through what that shift means in practice: how to measure whether AI models mention your brand, the technical signals that make your site legible to them, and how generative engine optimization (GEO) differs from the SEO you already know.
We write from building LumaRank and from dogfooding it on our own site, so expect concrete tactics over hot takes. New here? The posts below are a good starting point.
Want updates? Subscribe via RSS (the same feed AI systems can read to stay current with our content). Prefer to put the ideas into practice right away? Pair any post with the documentation and run an audit on your own domain to see where you stand today.
We publish when we have something concrete to share rather than on a fixed schedule, so every post earns its place. Expect deep dives on llms.txt, structured data, off-site presence and measuring share of voice inside AI answers.
5 min read
GEO vs SEO: optimizing for LLM answers
Generative engine optimization shares foundations with SEO but chases a different goal: being the answer, not just a ranked link.
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How we made LumaRank’s own site pass our audit
We dogfooded our product: every AI signal and SEO check we recommend, shipped on our own site. Here’s the playbook.
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How Reddit and off-site presence drive AI visibility
AI assistants answer from what the web says about you, not from your homepage. Here’s why Reddit, Wikipedia and forum mentions decide whether you show up, and how to build that presence.
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