A customer asks whether your Omega-3 comes in softgels. Another wants a powder instead of capsules. A third needs the price of the larger pack. These are everyday shopping questions, but a general FAQ may send all three people to the same page. An AI chatbot for a Shopify supplement store should connect each question to the correct product information and a useful next step.
Start with the questions your team answers
Collect a small set of recent product enquiries before comparing tools. Include an ingredient question, a format preference, a pack-size comparison and a delivery-policy question. Remove customer names and other personal details. The wording people use is more useful than a polished sales prompt.
Ask each candidate assistant the same questions against the same catalog. Record which product it selects, which facts it uses and whether you can verify those facts. A fluent answer is easy to notice. A mistaken pack size takes closer inspection.
Inspect the product answer
A useful answer names the relevant item and explains why it fits the request. For a softgel enquiry, check the format and pack quantity against the listing. For an ingredient enquiry, check the ingredient statement. Keep the product’s published facts available during the test.
Ask one follow-up that changes the request: “Do you have a smaller bottle?” The assistant should keep the product context while checking the new option. If the catalog does not contain that option, an accurate answer should make the gap clear.
Check what happens after a recommendation
Open the product card and inspect the title, price, variant choices and availability. Select an option and try the cart action in a test store. Confirm the resulting line item. A recommendation is useful only when the shopper can identify and choose the intended product.
Check the mobile version as well. The product name should remain readable, variant controls should fit the screen and the cart confirmation should be visible. Treat an addition to the cart and a completed purchase as separate outcomes when evaluating the tool.
Review the controls your store needs
Find out which catalog information and store pages the agent can use. Ask how you update that knowledge when packaging, prices or policies change. Test a correction and confirm that the next answer reflects it before enabling the experience for shoppers.
Obsedia’s Supplements AI Agent supports merchant controls for knowledge, tone, language and reply detail. Its role covers ingredient explanations, format comparisons and relevant catalog products. Use those controls to make a short buying answer concise and a requested product explanation more detailed.
- Knowledge: identify the approved source for each store-specific answer.
- Style: check the agent’s tone, reply detail and appearance with your brand.
- Commerce: verify the selected product and variant through the cart step.
- Scope: test what the assistant does when a requested fact is missing.
Run a small evaluation before choosing
Choose one representative collection and agree what a correct response should contain. Include an easy request, an ambiguous request and a request the catalog cannot satisfy. Keep the expected answers with your notes so another person can repeat the evaluation.
Compare the effort needed to prepare the sources, correct errors and maintain the experience. You can evaluate a product’s fit with these checks before making claims about sales or support savings. Business results require evidence from your own store.
See the Supplements AI Agent in action
The Obsedia product page shows the conversation and product-card interaction with a sample Omega-3 item. It is an illustrative demonstration. Use it to inspect the experience, then bring your own catalog and questions when discussing the agent for your store.
Start with one decision you want to make easier: finding a format, explaining an ingredient statement or choosing a pack size. A clear task gives you a concrete way to evaluate the assistant and a useful brief for the people setting it up.
Evaluate the answer, its source and the cart step together. Choose an assistant your team can test with real catalog questions and maintain when product information changes.
