An AI product advisor is a website assistant designed to help shoppers choose between products using approved website knowledge and product data. It is most useful when customers ask questions that are more detailed than a normal FAQ can handle.
Where it fits
A standard website chatbot can answer opening hours, delivery policies, or simple support questions. A product advisor goes further: it helps with comparison, compatibility, sizing, material choice, installation context, and product trade-offs where the catalogue data supports the answer.
What data it needs
The strongest setup combines website pages, FAQs, product feed rows, variants, attributes, category notes, and clear fallback rules. Better source data gives the assistant safer boundaries and clearer answers.
- Product names and stable product IDs
- Descriptions, attributes, dimensions, variants, and compatibility notes
- Policy pages, delivery information, returns information, and FAQs
- Instructions for tone, safety, and when to hand off to a human
Why complex catalogues need a different approach
When products are technical, configurable, high-SKU, or high-consideration, a confident but unsupported answer can create trust and support problems. The assistant should show where knowledge is missing or stale instead of pretending every answer is certain.
Next step
Book a Product Advisor setup review to map which product data, KB pages, and freshness rules your store needs before launch.