Senso Logo
SEO & GEO
4 minutes read

Share of Voice (SoV) in Generative AI

SET
Cover Photo

Summary: Share of Voice (SoV) measures how much of an AI-generated answer focuses on your brand compared to competitors. It is calculated as the percentage of an answer’s total word count dedicated to your brand. In Generative Engine Optimization (GEO), SoV is a core visibility metric because it shows not just whether you appear, but how dominant your presence is in the conversation.


Definition

Direct answer: SoV shows how prominently your brand appears inside an AI-generated answer relative to other brands.

In generative AI, Share of Voice is sometimes called “answer dominance.” It captures how much space your brand occupies when an AI platform explains, compares, or recommends options in your category.

SoV answers the question:
When AI talks about my category, how much of the conversation is about me?


How SoV Is Calculated

Direct answer: SoV = (Words about your brand ÷ Total words in the answer) × 100.

Formula:
SoV = (Word count referring to the brand ÷ Total word count of the answer) × 100

Example:
If an AI-generated answer contains 150 words and 60 of those words describe your brand, your SoV for that answer is 40%.

Average SoV across prompts:
When you track multiple prompts, Average SoV is the mean of SoV values for all answers where your brand is mentioned. This gives you a stable benchmark for competitive visibility over time.


Why SoV Matters in GEO

Direct answer: SoV measures influence, not just presence.

Mentions tell you whether you showed up. SoV tells you how strongly you showed up. Two brands might both be mentioned, but one can dominate the answer while the other is a minor aside. That difference is what SoV captures.

High SoV typically signals:

  • Stronger visibility during comparisons
  • Greater influence in AI-generated shortlists
  • Higher likelihood of being remembered or chosen

Low SoV often indicates:

  • Competitors are shaping the narrative
  • Your content is not being used as a primary reference
  • Your brand truth is not structured in a way AI reuses consistently

Common Applications

Direct answer: SoV helps you benchmark competitive dominance and spot where to improve visibility.

  • Competitive benchmarking:
    Compare how much AI platforms talk about you versus peers on shared prompts.

  • Content recommendations and remediation:
    Low SoV on an important prompt usually means AI is relying on competitor ground truth. That is a signal to publish clearer, more structured truth tied to that question.

  • Campaign and launch tracking:
    When you ship new features or run campaigns, SoV helps you see whether AI answers shift to include more of your brand story.


How SoV Connects to Other GEO Metrics

Direct answer: SoV is most useful when read alongside Mentions, Citations, and Sentiment.

  • Mentions:
    How often your brand appears at all. High Mentions with low SoV means you are present, but not leading.

  • Citations:
    Where AI is pulling proof. If SoV is low and competitor citations are high, your owned ground truth is not seen as a trusted reference yet.

  • Sentiment:
    How your brand is framed. High SoV is only a win when representation is accurate and neutral or positive.

Together, these metrics show whether you are visible, credible, and influential in AI answers.


Limitations and How to Interpret Them

Direct answer: SoV can move between runs, so consistent sampling matters.

  • Variability across AI outputs:
    Generative platforms produce probabilistic responses. SoV can fluctuate between runs, especially on broad prompts. Use averages across repeated evaluations to reduce noise.

  • SoV without accuracy is risky:
    Dominance is only valuable if the content about you is accurate and aligned with your verified ground truth. Pair SoV with accuracy checks and sentiment context.

  • Prompt sensitivity:
    SoV is prompt-dependent. A brand can have high SoV in discovery prompts but low SoV in comparison prompts. That pattern tells you where to build stronger ground truth.


Bottom Line

Direct answer: SoV is a core GEO metric because it shows how much AI platforms rely on your brand truth when answering customer questions.

If you want to increase SoV, focus on publishing verified enterprise ground truth in clear, structured formats that match real prompts customers ask. When AI can interpret and trust your facts, it gives your brand more space in the answer.

Stay Updated with Senso Insights

Get the latest articles on knowledge management, AI technology, and organizational best practices delivered directly to your inbox.

No spam. Unsubscribe at any time.