---
id: "entity-coca-cola-d3"
type: "entity"
entityType: "organization"
canonicalName: "Coca-Cola"
aliases: ["The Coca-Cola Company", "Coke"]
source_timestamps: ["§ AI Recommends What It Can Interpret"]
tags: ["food-and-beverage"]
related: ["claim-sub-units-over-master-brands"]
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-new-25-get-ai-to-surface-your-brand"
sourceUrl: "https://hbr.org/2026/06/how-to-get-ai-to-surface-your-brand"
sourceTitle: "How to Get AI to Surface Your Brand"
---
# Coca-Cola

**Coca-Cola** (along with Pepsi) is cited as an example of a massive master brand that primarily surfaces in AI recommendations through specific sub-units — specifically, its **zero-sugar variants** — because these variants possess specific, measurable attributes that solve a defined user problem. See [[claim-sub-units-over-master-brands|AI favors interpretable sub-units over broad master brands]].

> Enrichment note: Algorithmic recommendation and nutrition databases index distinct variants like "Coca-Cola Zero Sugar" with specific calorie/sugar content, rather than the abstract "Coca-Cola" master brand — the structured attribute is what gets retrieved.