AI search optimization goes by several names: generative engine optimization (GEO), answer engine optimization and LLM SEO. They all mean the same goal: getting your product mentioned and cited when buyers ask an AI assistant for a recommendation. Here's what actually helps.
How assistants choose what to say
Assistants like ChatGPT, Perplexity and Gemini build answers from what they learned in training and, increasingly, from a live web search. When they search, they read pages that rank well and sources they trust, like review sites and comparison articles. So being findable in search and being mentioned on trusted sites both matter.
Let the crawlers in
If your robots.txt blocks AI crawlers, assistants that browse can't read your pages. This happens more than you'd think, often through a security setting or an old rule. Checking crawler access is the first step of any LLM SEO work, and Sojig checks it for you.
Say plainly what you do
AI answers quote clear statements. A page that says what your product does, who it's for, what it costs and how it compares is easier to cite than one full of slogans. Comparison and alternative pages written fairly are especially useful, because they answer the exact questions buyers ask assistants.
Structured data and clean pages
Structured data tells machines what a page is: a product, an article, an FAQ. It's not a guarantee of anything, but it removes ambiguity. Sojig adds and checks it as part of its technical fixes.
Measure it every week
You can't improve what you can't see. Sojig asks up to 25 buyer questions in five assistants every Monday and records who's named. Over a few months, that trend shows whether the work is helping. See AI visibility tracking.