---
id: "entity-org-jellyfish"
type: "entity"
entityType: "organization"
canonicalName: "Jellyfish"
aliases: ["Share of Model"]
source_timestamps: ["enrichment"]
tags: ["vendor", "measurement", "geo", "share-of-model"]
related: ["concept-generative-engine-optimization", "action-conduct-wtp-experiments"]
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-new-29-luxury-brands-optimize-for-ai"
sourceUrl: "https://hbr.org/2026/06/llms-misunderstand-luxury-brands-heres-how-to-optimize-your-marketing-strategy-for-ai"
sourceTitle: "LLMs Misunderstand Luxury Brands. Here’s How to Optimize Your Marketing Strategy for AI."
---
# Jellyfish / Share of Model

**Type:** Organization (vendor) · **Canonical name:** Jellyfish · **Product concept:** "Share of Model"

Jellyfish is an industry vendor associated with AI brand-perception measurement. "Share of Model" is the framing for quantifying how — and how favorably — LLMs represent a brand relative to competitors, analogous to "share of voice" in traditional media.

This entity is surfaced from the enrichment overlay rather than the core extraction. It is the measurement counterpart to the vault's prescriptions: the [[action-conduct-wtp-experiments]] and [[concept-generative-engine-optimization-d29]] work presupposes a way to *observe* model outputs over time. Industry commentary describes prompt-based brand-perception measurement and semantic analysis of model responses as the operational layer.

**Caveat:** The supplied results indicate such tools exist but provide no canonical technical paper; treat this entity as vendor/context reference rather than a validated methodology.