Enterprise AI Visibility is the new frontier of brand management.
As generative AI systems like ChatGPT, Gemini, and Perplexity increasingly serve as the first point of discovery for consumers, enterprise leaders face a new strategic challenge: is our brand visible and accurately represented when customers ask AI assistants about our category?
This white paper introduces a rigorous methodology for conducting an Enterprise AI Visibility Audit using the Prompt Share of Search (PSOS™) metric, a cornerstone of the AIVO Standard™. It provides a step-by-step framework for:\n\n- Defining the scope of relevant categories, products, and markets. \n- Designing natural-language prompt sets aligned to customer intent. \n- Systematically querying major LLMs (e.g., ChatGPT, Gemini, Claude, Perplexity). \n- Measuring brand presence with PSOS™ and benchmarking against competitors. \n- Detecting risks of invisibility or misinformation as models retrain over time. \n- Translating results into board-ready governance KPIs. \n\nFor CMOs, Chief Digital Officers, and corporate boards, this audit process creates transparency, mitigates reputational risk, and establishes a new class of performance metrics suited to an AI-mediated discovery environment.
The paper also situates the audit within the broader context of enterprise marketing strategy, drawing on insights from the AIVO 100™ Global Report (Open Future, 2025), which revealed that fewer than 40% of leading CPG brands appear in the top three generative AI responses to purchase-driven queries.
Enterprise AI Visibility is the new frontier of brand management. As generative AI systems like ChatGPT, Gemini, and Perplexity increasingly serve as the first point of discovery for consumers, enterprise leaders face a new strategic challenge: is our brand visible and accurately represented when customers ask AI assistants about our category? This white paper introduces a rigorous methodology for conducting an Enterprise AI Visibility Audit using the Prompt Share of Search (PSOS™) metric, a cornerstone of the AIVO Standard™. It provides a step-by-step framework for:\n\n- Defining the scope of relevant categories, products, and markets. \n- Designing natural-language prompt sets aligned to customer intent. \n- Systematically querying major LLMs (e.g., ChatGPT, Gemini, Claude, Perplexity). \n- Measuring brand presence with PSOS™ and benchmarking against competitors. \n- Detecting risks of invisibility or misinformation as models retrain over time. \n- Translating results into board-ready governance KPIs. \n\nFor CMOs, Chief Digital Officers, and corporate boards, this audit process creates transparency, mitigates reputational risk, and establishes a new class of performance metrics suited to an AI-mediated discovery environment. The paper also situates the audit within the broader context of enterprise marketing strategy, drawing on insights from the AIVO 100™ Global Report (Open Future, 2025), which revealed that fewer than 40% of leading CPG brands appear in the top three generative AI responses to purchase-driven queries.