AI Share of Voice

Why It Matters

AI Share of Voice is the equivalent of traditional SEO rankings in the age of AI search. As more users turn to AI answer engines instead of traditional search, your share of voice determines how often potential customers encounter your brand. A higher share of voice translates directly to increased brand awareness, thought leadership positioning, and ultimately conversions. Companies with low AI share of voice risk becoming invisible to a growing segment of searchers who never click through to traditional search results.

How It Works

AI Share of Voice is calculated by tracking how frequently your brand appears in AI responses across thousands of relevant queries. The metric compares your mention frequency against competitors, weighted by factors like prominence of mention, sentiment, and whether you're cited as a primary or secondary source. Advanced tracking tools monitor multiple AI platforms simultaneously, providing a comprehensive view of your relative visibility. The calculation accounts for query volume, ensuring high-traffic topics are weighted appropriately.

Use Cases

• A SaaS company tracks their AI Share of Voice for 'project management software' queries across ChatGPT and Perplexity to measure brand awareness
• An e-commerce retailer monitors their share compared to Amazon and competitors when users ask AI for product recommendations
• A B2B enterprise benchmarks their AI visibility quarterly to measure the ROI of their content marketing efforts

Best Practices

• Track share of voice across multiple AI platforms, not just one, as each has different training data and user bases
• Monitor both branded and non-branded queries to understand where you have authority versus where you need improvement
• Set up competitive benchmarking to track changes in relative position over time, not just absolute metrics
• Focus on high-intent commercial queries where share of voice directly impacts revenue
• Correlate share of voice changes with content publication dates to measure content effectiveness