INDUSTRIES · BY VERTICAL
Every vertical shops
differently on AI.
Ingredient queries for food. Fit questions for apparel. Routine-building for beauty. Each vertical has its own AI shopping patterns — and its own playbook for getting cited and purchased in the conversation.
D2C
Food & beverage D2C
Food and beverage D2C is the highest-velocity AI-shopping category — short consideration cycles, ingredient-specific queries, fast-moving taste preferences. Whoever AI cites first wins the basket.
D2C
Apparel & fashion D2C
Apparel AI shopping is dominated by intent-rich queries: "running shoes for flat feet," "work pants under $100," "wedding-guest dress under 5'4\"." Your SKU isn't a result unless your data is.
D2C
Beauty & personal care D2C
Beauty is the AI-shopping category with the highest cited-answer-to-purchase conversion in our data. The brands that win get cited in personalized recommendations and complete the transaction inside the agent surface.
D2C
Home goods D2C
Home AI shopping is dominated by considered comparisons: durability, return policy, sustainability claims, warranty length. Whichever brand has the cleanest structured data wins the citation.
Enterprise
Enterprise retail & marketplaces
Enterprise retail is the highest-volume AI-shopping surface. We treat it as a measurement-first problem: see your gap before you spend on closing it.
Enterprise
Consumer packaged goods (CPG)
CPG AI shopping is asymmetric: a handful of brands appear in 80% of category answers; everyone else is invisible. Whoever fixes their structured product data first owns the next-decade citation graph.