Insights · Food & Beverage
We read food and beverage listings with one question in mind: could an AI shopping assistant confidently tell a buyer whether a product was suitable for them to eat?
Marketing claims — “no added sugar,” “high protein,” “all natural” — are what listing copy is written to carry. The label is a different kind of information, and it travels differently.
The claim is written as copy. The label is printed on the pack — and a pack photo is not readable text.
Where a product's ingredient list and allergen statement appear only in a packaging photo, an assistant has no readable evidence of either. For a general shopper that's a minor inconvenience. For a coeliac, allergy-conscious, or medically-restricted buyer, it is the entire decision — and it is a hard one. “Can I eat this?” is not a preference to weigh; it's a gate. Miss it, and the buyer moves on in seconds.
An AI assistant behaves the same way, for the same reason. Faced with a product that markets itself well but never states its allergens or ingredients in readable text, an assistant won't vouch for its safety — the risk of being wrong is too high. It recommends a product it can stand behind instead. The claim got the product noticed; the missing label kept it from being chosen.
Why this happens
Merchants naturally lead with the appealing, marketable attribute, because that's what draws a shopper in. The operational facts — the full ingredient list, the allergen line, the nutrition panel — feel like fine print, so they stay on the pack photo where a human can squint at them. But an assistant can't read a photo, and for the highest-intent buyers in this category, the fine print is the decision.
That's why this gap is costlier than it looks. It isn't losing the casual browser. It's losing the shopper who came specifically because they have a dietary need — the one for whom the missing answer was always going to decide the purchase.
What to do about it
Put the allergen statement in the description as text — not only on the pack photo. It's the single deciding fact for your highest-intent buyers.
Transcribe the full ingredient list into text. It's already on the label; an assistant simply needs to be able to read it.
Back every diet claim with the ingredients. “Vegan” or “gluten-free” lands far harder when the ingredient list confirms it — for buyers and assistants alike.
Add the nutrition panel as text — energy, protein, sugar per serve. Health-motivated buyers want the numbers, not just the headline.
Add a “may contain” line where relevant. Cross-contamination information is exactly what an allergy-conscious buyer is looking for.
Keep the marketing claim — and add the label beneath it. The claim earns the visit; the label earns the trust that turns it into a sale.
Squiggle reads your entire Shopify catalogue and shows you which products don't give an AI assistant enough evidence to answer “can I eat this?” — and what to add first.
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Squiggle's category guidance is informed by ongoing analysis of publicly available ecommerce product information. Illustrative examples explain common product-understanding principles and do not represent findings from any one merchant or the entire category. No individual store is named. This is not dietary or allergen advice; always follow the product's own labelling. Public catalogue data only — no account access, sales data, or private information was used.