More and more product research starts inside an AI assistant. Whether your products show up there comes down to one thing you already control: clean, structured product data.
A growing share of product research no longer starts on Google's blue links — it starts in a conversation with ChatGPT, Perplexity or Google's AI overview: "What's a good waterproof hiking boot for wide feet under €200?" The assistant answers with specific products. Whether yours are among them is the new question for retailers — and it's decided largely by your product data.
A note up front: GEO — Generative Engine Optimization — is a young field. Nobody can promise rankings inside an AI assistant. What we can do is prepare the data so you're well positioned as this matures. That preparation happens to be the same work that already makes product data good.
GEO is the practice of making products discoverable and recommendable inside generative AI systems, the way SEO did for search engines. As more buyers ask an assistant before visiting a shop, being the product the assistant names becomes a channel of its own.
AI systems don't guess — they draw on structured, consistent information and credible sources. A product with complete attributes, clear specifications and factual, verifiable descriptions is far easier for a model to understand and recommend than one described in vague marketing language with missing data.
The exact material, size, compatibility, use case. Gaps and inconsistencies make a product ambiguous to a model — completeness is the single biggest lever.
Marking up product information with structured data makes it machine-readable, which helps both traditional search and AI systems parse it reliably.
Specific facts beat marketing fluff. "Waterproof to 10,000 mm, weighs 340 g" is more useful to an assistant than "premium quality for the modern adventurer."
Consistent, up-to-date data across your channels signals reliability — the same product facts everywhere, not three different versions.
This is exactly what a PIM is for. Productbay keeps attributes complete and consistent, enriches gaps with AI, exports structured data, and publishes the same reliable information across every channel. It's worth adding that we care about AI visibility ourselves — we track how our own brand appears across AI engines — so this isn't a theoretical topic for us. For the broader search-side view, see our LLM-SEO page.
Book a demo — we'll look at your data's completeness and structure and where it stands for AI visibility.
Get started