---
id: "action-monitor-share-of-model"
type: "action-item"
source_timestamps: ["¶2", "§ [ Stage 3 ] Make Other AI Agents Choose Your Brand"]
tags: ["marketing-operations", "llm-optimization"]
related: ["concept-share-of-model", "entity-pernod-ricard", "concept-prompt-based-optimization"]
action: "Regularly prompt LLMs about your brand and update web copy to correct AI misrepresentations."
outcome: "Improved accuracy and favorability of brand representation in generative AI outputs."
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-ext-18-preparing-brand-agentic-ai"
sourceUrl: "https://hbr.org/2026/03/preparing-your-brand-for-agentic-ai"
sourceTitle: "Preparing Your Brand for Agentic AI"
---
# Audit and Shape 'Share of Model'

**Action.** Regularly prompt popular LLMs with questions about your brand's products to catalog their responses. If discrepancies exist, iteratively update website and advertising copy to force the models to ingest and echo the correct messaging. This is the operational routine behind [[concept-share-of-model]], pioneered by [[entity-pernod-ricard-d6]], and part of ongoing [[concept-prompt-based-optimization]].

**Outcome.** Improved accuracy and favorability of brand representation in generative AI outputs.

**Rigor upgrade (enrichment).** Prefer an auditing methodology over one-off prompting: sample prompts, compare outputs across models and over time, and track mention rate, position, sentiment, and citation behavior. Note that copy edits *influence* rather than deterministically control model output.