Guide · 6 chapters
AI visibility for ecommerce
Customers increasingly ask an AI assistant instead of scanning search results. This guide walks through what to do, step by step, so models describe and recommend your store on correct facts. No promises about rankings, just a sensible order of work.
6 chapters · 46 min
Most guides on AI visibility come from SEO agencies and talk about a company, a brand and a website. A store is a different case: a product recommendation rests first on product data, meaning what sits in your feed and your structured data, and only then on content and external signals. That is why this guide starts with the mechanics, then audits your starting point, and puts the technical foundation before writing anything.
Who this guide is for
Store owners and managers who want to understand what actually drives presence in AI answers, and to plan the work over the next few months. No SEO knowledge assumed. We do assume you have a product catalog and want machines to read it correctly.
What you will not find here
Promises that ChatGPT will start recommending you after implementation. Model answers are non-deterministic and shift over time, so nobody can honestly guarantee that. What you will find is the list of things you genuinely control, and a way to check whether they work.
Read the chapters in order: chapter three assumes you ran the audit in chapter two. If you only want one topic, each chapter links to a deeper piece on the blog.
We can run this audit on your store
The guide shows what to check and in what order. If you would rather have it measured and implemented, we do it as our AI Visibility service: audit, technical fixes and repeatable measurement. Honestly, with no promises about rankings.
