SEO and Visibility in AI Assistants (AEO)

A classic search engine returns a list of links; an AI assistant produces a single answer and cites a handful of sources inside it. Getting onto the list and getting into the answer are different problems.

For an assistant to use your brand in an answer, three things have to be true: the content must be readable without executing JavaScript, the same facts must appear consistently across several sources, and the answer to the question must be stated plainly in the page's first paragraph.

On most sites the problem is not the content but that crawlers cannot see it. On infrastructure such as Cloudflare, settings that block AI crawlers are frequently switched on without anyone noticing — and while that is on, how well the site is written stops mattering.

Work starts with crawlability: robots rules, sitemaps, server-rendered HTML, page speed. Entity definition follows: Organization, Person, Service, SoftwareApplication and FAQPage schemas, and a legal name, address and phone number written identically everywhere.

llms.txt is a plain-text file that tells language models what the site is and which pages matter. Kalynda projects ship both a short llms.txt and an llms-full.txt covering every service and product.

On the content side the method is answer-first writing: the opening paragraph of every page is a standalone answer to the question that page targets. That is the paragraph assistants almost always quote.