Introduction
Share of Voice (SOV) has long been a key performance metric in marketing. Traditionally, it measures a brand’s visibility in search results, social media, or paid campaigns. With the rise of AI-driven discovery, a new metric has emerged: AI Share of Voice (AISO).
AISO tracks how frequently a brand is mentioned, recommended, or cited by LLMs across relevant queries. Unlike traditional SOV, AISO accounts for narrative prominence, context, and sentiment, offering a deeper view of how brands are perceived in AI-generated content.
Why AI Share of Voice Matters
AI-driven decision-making – Users increasingly rely on AI summaries instead of search results. Brands absent from AI answers risk being overlooked entirely.
Narrative influence – Inclusion in AI-generated content shapes perception, trust, and brand credibility.
Competitive benchmarking – AISO reveals which competitors dominate AI narratives and where gaps exist.
Measuring AI Share of Voice
AISO measurement involves several dimensions:
Frequency – How often the brand is mentioned across AI-generated responses.
Sentiment – Positive, neutral, or negative framing.
Contextual placement – Position relative to competitors and within relevant use cases.
Narrative dominance – Which brands shape the story in AI answers.
Steps to Increase AI Share of Voice
Optimize entity clarity – Ensure the brand is consistently described and recognized across sources.
Expand authoritative coverage – Secure mentions in trusted blogs, directories, and news sites.
Monitor competitors – Track how competitors are positioned in AI answers and identify gaps.
Measure sentiment – Ensure mentions convey trust, expertise, and credibility.
Iterate – Update content strategies based on AI monitoring insights.
Example Use Case
A travel brand wants to dominate AI recommendations for “family-friendly resorts in Dubai.” By analyzing AI responses, the brand finds that competitors appear more frequently and with positive sentiment. The brand then improves content consistency, secures authoritative mentions, and monitors AI queries. Over time, AI Share of Voice increases, resulting in stronger visibility in AI-generated travel recommendations.
Conclusion
AI Share of Voice is becoming a critical metric for modern marketing. It provides insights into visibility, narrative control, and brand perception in AI-generated content. Brands that invest in AISO measurement and optimization are better positioned to thrive in the emerging AI-first discovery ecosystem.
