Considered design, measured in milliseconds.
Considered design, measured in milliseconds.
Do you need llms.txt in 2026? For a B2B SaaS marketing site, almost certainly not: Google confirmed it doesn't use it for Search, and ~97% of llms.txt files get zero AI-crawler requests. The honest verdict, the narrow case where it genuinely helps (developer docs), and where your time actually pays off instead.
AI engines don't summarize your post — they lift discrete passages that answer a question cleanly, and they can only lift what you've made liftable. How to structure a blog post so it gets quoted: lead each section with a 40–60 word answer, use question headings, write self-contained claims, back them with attributed facts, and add FAQ schema.
SEO optimizes for ranking, AEO for being the answer, GEO for being cited inside AI responses. Three layers of one problem — not three competing strategies. What each term actually means, the ~80% that overlaps, the 20% that genuinely differs, and how a B2B SaaS team should allocate effort.
AI answer engines don't rank links — they build consensus and lift passages. To get cited by ChatGPT and Perplexity you need crawler access, citable structure, and corroboration off your own site. The mechanism, the five steps, and the ten-minute exercise that shows what AI already says about you.