Share of Voice (AI)
The percentage of AI answers in a defined category in which a brand is mentioned, relative to its competitors.
Share of Voice is the percentage of AI answers in your category that mention your brand instead of a competitor. It turns "we got mentioned a few times" into a real scoreboard you can win or lose.
Explain it like I've never heard of this
Imagine 100 people each ask ChatGPT the same kind of question about your industry , something like "what's the best tool for this?". Each answer is a tiny stage, and only a few brands get to stand on it.
Share of Voice simply counts: out of all those answers, how many times did your brand get named, compared to your competitors? If you show up in 35 of them, your Share of Voice is 35%.
"Share of Voice" is just a fancy way of asking: when AI talks about your category, how often is it talking about you?
Words you'll see, in plain English
A few terms come up whenever people talk about Share of Voice. Here's what each one means.
The slice of the conversation that belongs to your brand compared to everyone else competing for the same space.
A question someone types into an AI assistant, like 'best CRM for startups'. Each prompt produces one AI answer.
When the AI names your brand inside its answer. No mention means the buyer never hears about you.
The group of related prompts you care about, e.g. 'project management tools'. SOV is always measured inside a category.
The total you divide by. Here it's all the brand mentions in the category, not just your own.
The other brands fighting for the same AI answers. Your SOV only makes sense next to theirs.
What Share of Voice actually measures
Share of Voice in AI measures how much of the AI conversation in a given category belongs to a brand. If a brand is mentioned in 35 of 100 tracked prompts and the rest of the category absorbs the other 65, the brand's AI Share of Voice is 35%. It reframes AI visibility as a competition for answer real estate, exactly how buyers experience your category inside an assistant.
Why it beats counting mentions
A raw mention count feels reassuring but hides the only thing that matters: how you compare.
Counts alone lie
Being mentioned 30 times sounds great until a rival is mentioned 90 times for the same prompts. SOV adds the missing context.
It's a zero-sum race
Answer space is finite. Every percentage point a competitor wins is one you lose. SOV makes that trade-off visible.
It mirrors the buyer
Inside an AI assistant, buyers experience your category as a shortlist. SOV measures how often you make that shortlist.
It tracks momentum
A rising SOV means your content is winning trust faster than rivals. A falling one is an early warning, long before revenue dips.
The 4-step plan to grow your share
Share of Voice grows when AI models trust you more than your rivals. Work top to bottom.
Publish category-defining content
Become the clearest, most quotable source on the core questions in your category so models cite you with confidence.
Earn authoritative third-party mentions
Reviews, comparisons, and listicles from trusted sites teach AI models that your brand belongs in the answer.
Strengthen structured data
Clean schema and entity markup help retrieval pipelines surface your brand as a primary entity, not a footnote.
Track SOV per prompt monthly
Watch how your share moves prompt by prompt against rivals, and double down where you're closing the gap fastest.
Your Share of Voice checklist
- A clear category and prompt set is defined before measuring anything
- Mentions are counted for you AND every competitor in the set
- SOV is reported as a percentage, never as a raw mention count
- Each tracked prompt has its own SOV so weak spots stand out
- Third-party reviews and comparisons name your brand in the category
- Structured data marks your brand as a primary entity
- SOV is reviewed monthly to catch competitor momentum early
See how your brand performs across AI assistants
Strajist tracks your visibility, share of voice, and citations across ChatGPT, Gemini, Claude, Perplexity, and more.
Start free trialRelated terms
A composite metric that summarizes how strongly a brand appears across AI answers, combining mention rate, position, and citation share into a single 0–100 number.
The percentage of tracked AI prompts in which a brand is named at least once.
Tracking which competitors AI models recommend in your category and how their visibility evolves over time.
Where in an AI answer a brand typically appears: first paragraph, mid-answer, or near the end. Lower numbers mean higher prominence.
When an AI answer explicitly links to the brand's own domain as a source. The most valuable form of AI mention because it can drive direct traffic.
A composite indicator of how authoritative AI models consider a brand to be in its category, driven by citations, sentiment, and consistency across sources.