Measuring Your Share of Voice in AI Search

Defining AI Share of Voice

Share of Voice (SoV) in AI search measures how often your brand is mentioned or recommended by AI platforms compared to your competitors. Unlike traditional SoV which tracks ad impressions or search rankings, AI SoV tracks actual citations in generated responses.

Your AI Share of Voice is calculated as:

AI SoV = (Your brand mentions / Total brand mentions in category) x 100

This metric gives you a clear picture of your competitive position in the AI search landscape.

Measurement Methodology

Measuring AI SoV requires a systematic approach:

1. Define your prompt set: Create a list of queries that potential customers might ask AI about your category (e.g., "What is the best project management tool?")
2. Run queries across platforms: Test each prompt on ChatGPT, Perplexity, Gemini, Claude, and other relevant AI platforms
3. Track citations: Record which brands are mentioned in each response and the context of the mention
4. Calculate frequency: Aggregate data to determine how often each brand appears
5. Monitor over time: Repeat the process regularly to track trends

Manual measurement is possible but time-consuming. Tools like GetCited automate this entire process across all major AI platforms.

Benchmarking Against Competitors

Once you have baseline data, compare your AI SoV against:

• Direct competitors: Companies offering similar products or services
• Industry leaders: The most established brands in your space
• Emerging players: New entrants who might be gaining AI visibility faster

Pay attention to the context of citations, not just frequency. Being mentioned as a top recommendation is more valuable than being listed as one option among many.

Improving Your Share of Voice

Based on our data, the most effective strategies for improving AI SoV are:

1. Strengthen your knowledge graph: Ensure consistent information across Wikipedia, Wikidata, Google Knowledge Panel, and industry directories
2. Publish authoritative content: Create comprehensive, data-backed content that AI models can rely on as source material
3. Optimize for entity recognition: Use consistent naming and structured data so AI models correctly identify and attribute your brand
4. Build third-party signals: Get mentioned in reputable publications, review sites, and industry reports
5. Monitor and iterate: Track your SoV weekly and adjust your strategy based on trends