Does ChatGPT Recommend Your WooCommerce Store – or the Competition?
For years, online stores have optimized for Google – rankings, keywords, category descriptions, structured data. That still matters and isn’t going away. But more buyers are starting their search differently than they did two years ago: instead of typing a query into a search engine, they ask ChatGPT, Gemini, or Perplexity which shop to buy from.
The problem is that nobody measures this the way we measure Google rankings. A store can look great in search results and still be completely absent when someone asks an AI assistant for a recommendation in that exact same product category.
What “ChatGPT recommends your store” actually means
This isn’t about whether ChatGPT recognizes your brand name when you ask it directly “what do you know about store X.” That’s a vanity metric that says little about real purchase decisions. What matters is how it answers actual buyer questions, like “best wireless headphones under $200,” “who sells electric bikes with fast delivery,” or “a good store for educational toys.”
When an AI assistant answers a question like that with a specific store, product, or category, that’s the moment that actually shapes where someone clicks and buys. Your store either shows up there or it doesn’t – and most of the time, you have no idea which.
Why this hits WooCommerce stores specifically
AI models build their understanding of what you sell, and whether it’s worth buying from you, from many of the same signals SEO relies on: product descriptions, schema.org data, category structure, on-page content, product feeds, shipping and returns information. WooCommerce gives you full control over all of this – which also means that if your category descriptions are generic, your schema markup incomplete, or your product pages just a photo and a price, an AI model has nothing to work with to recommend you.
That’s a real difference from classic SEO. A store can rank well in Google thanks to backlinks, domain age, or authority, even with thin product content. That doesn’t carry the same weight for AI answers – what matters is whether the model actually “understands” your store as a sensible answer to a buyer’s question. The store itself becomes an entity that AI either recognizes clearly or overlooks.
How to check this today
The simplest test takes five minutes. Open ChatGPT, Gemini, or Perplexity and ask a few questions a real buyer in your category would ask – not about your brand, but about the product and the need behind it. See whether your store shows up at all, in what context, and next to which competitors.
It’s a decent starting point, but it has clear limits. You get one snapshot from one day, with no history and nothing to compare over time. You can’t tell if anything changed after you updated your descriptions. You don’t have a fixed set of competitors to track against. And you’re unlikely to keep repeating this manually, every week, across a dozen prompts and several models at once.
A tool that measures this for stores
Aigely is a separate tool from the Devikit team that regularly checks whether it’s your store or a competitor showing up in AI assistants’ answers to real shopping questions in your category – and tracks it over time instead of as a one-off screenshot.
What you do with the result is fairly concrete: fill in missing product schema, add an llms.txt file (something Devikit has already written about elsewhere), tighten up category copy, or add an FAQ section where buyers are asking questions your store doesn’t answer directly yet. It’s not a magic switch – it’s a specific list of gaps to close, based on what AI models are actually missing in order to recommend you.
What this doesn’t replace
Classic SEO, Google Shopping, and paid ads still do most of the work of bringing traffic to your store, and that isn’t changing. AI answers are an extra channel where more people are starting to search for products, not a replacement for what already works. It’s not worth cutting your ad budget or product feed work in favor of “AI optimization” – this is additive, not a swap.
If you’re already investing in your store – content, SEO, ads – it’s worth knowing whether an AI assistant points buyers toward you or toward the competitor next door.