How to be visible in AI search
When people ask an AI model instead of a search engine, a different set of signals decides whether your company shows up. Here is what matters, in plain terms.
Why AI search is a new playing field
More and more buyers start with a question to an AI assistant rather than a list of blue links. The model answers in its own words, names a few companies, and most people never scroll further. If you are not among the names, you are invisible at the exact moment a decision is forming.
Being visible in AI answers is not the same as ranking on a search page. It depends on whether models can read your site, understand what you do, and trust it enough to mention you in the right context. The good news: most of what helps is concrete and within your control.
Make your content machine-readable
Many AI crawlers do not run JavaScript the way a browser does. If your key information only appears after scripts load, a crawler may see an empty page. Put your core message - what you do, who it is for, what you offer - in plain, server-rendered HTML that is present in the page source.
Keep important content as real text, not locked inside images or interactive widgets. Clear headings and short, direct sentences help a model extract the facts about you accurately instead of guessing.
Tell AI what you are, in its own language
Structured data (JSON-LD using schema.org) lets you state machine-readable facts about your organisation, products and pages. It removes ambiguity, so a model is less likely to confuse you with a similarly named company or describe you wrongly.
An llms.txt file is a short, AI-readable profile of your business - what you do, who you serve, and your key pages. Think of it as robots.txt for language models: a place to introduce yourself clearly so you are described and cited correctly.
The fundamentals still carry weight
A clean sitemap.xml helps crawlers find your whole structure so nothing important is missed. A sensible robots.txt makes sure the right pages are open and private areas stay closed.
Accurate meta titles and descriptions, a canonical URL on each page, and Open Graph tags all reduce duplication and mixed signals. None of this is glamorous, but together it makes you legible to the systems that decide whether you appear.
From good practice to knowing where you stand
Putting these signals in place improves your odds, but it does not tell you the one thing that matters: are you actually showing up, and who appears instead of you? That answer changes by topic and by model, and it shifts over time.
This is the gap LLMrank measures. Rather than guessing from a checklist, you see where you are mentioned, which competitors are named in your place, and in which contexts - so your effort goes where it changes the result.
Run an analysis of your domain to see where you stand in AI answers today.
Run an analysis