What Is AI Saying About Your Brand—and Is It Right?

Key Concepts

• Share of Model (SoM): A metric tracking the frequency and favorability of a brand’s appearance in AI-generated responses compared to competitors.
• Agentic AI: AI systems capable of performing tasks, making decisions, and completing transactions autonomously on behalf of users.
• AI-Mediated Marketplace: An ecosystem where consumer purchasing decisions are influenced or executed by AI models rather than direct human interaction with brand websites.
• LLM (Large Language Model): AI systems trained on vast datasets to process and generate human-like text, now serving as primary research tools for consumers.

The Shift from SEO to AIO (AI Optimization)

For the past two decades, brand strategy has been dominated by Search Engine Optimization (SEO). However, the rise of Large Language Models (LLMs) has shifted the paradigm. Consumers—particularly Gen Z and Millennials—are increasingly bypassing traditional search engines in favor of LLMs to conduct product research. This transition necessitates a move from optimizing for keywords to optimizing for AI-generated narratives.

Case Study: Pernod Ricard’s "Share of Model" Strategy

Pernod Ricard, the parent company of brands like Absolut, Jameson, and Ballantine’s, identified a critical vulnerability: their brand identity was being misrepresented by AI.

• The Problem: Research revealed that LLMs were providing incomplete or inaccurate information. For example, Ballantine’s, an affordable mass-market Scotch, was incorrectly categorized as a "prestige product" by one model.
• The Methodology: Pernod Ricard implemented a systematic approach to regain control:
  1. Prompting: Regularly querying major AI models about their portfolio.
  2. Cataloging: Documenting how the models described their products versus competitors.
  3. Iteration: Adjusting website copy and advertising language to "feed" the models more accurate, brand-aligned data.
• The Result: By treating "Share of Model" as a formal discipline, the company successfully fine-tuned how AI models represented their products to potential consumers.

The Three Modes of AI Interaction

The transition to an AI-mediated marketplace is evolving through three distinct stages:

1. Brand-Owned Agents: AI systems deployed by companies to interact directly with customers.
2. Independent Consumer Agents: AI tools used by individuals to research and compare products (the current primary phase).
3. Autonomous AI Systems: Future-state systems where AI agents transact with other AI agents on behalf of human users, removing the human from the immediate point of purchase.

Strategic Implications for Brand Leaders

The core argument presented is that brand storytelling is no longer a one-way broadcast. In an AI-mediated world, a brand’s story is being told by algorithms regardless of whether the brand participates in the conversation.

Key Takeaways:

• Loss of Control: If brands do not actively manage their AI presence, they forfeit their narrative to the "messy" and often inaccurate interpretations of LLMs.
• Actionable Insight: Executives must treat AI representation as a core business metric. The strategic question is no longer "Will AI influence my brand?" but rather "Do I know how my brand is being represented, and is that representation accurate?"
• Proactive Management: Brands must adopt a continuous feedback loop—prompting, auditing, and refining their digital footprint—to ensure that when an AI agent recommends a product, it does so with the correct brand positioning and factual accuracy.