What is AI share of voice?
AI SOV, share of voice in LLMs, share of model
AI share of voice is your brand's portion of all brand mentions across a set of AI answers. If ChatGPT names brands 400 times across your tracked prompts and 60 of those mentions are yours, your share of voice is 15%. It shows how much of your category's AI conversation you own versus competitors.
AI share of voice compares your brand mentions with every brand mention in tracked AI answers.
It is a competitive metric, so it moves when rivals gain or lose ground.
Segment share of voice by engine and topic to find where competitors lead.
How to calculate AI share of voice
AI share of voice is calculated by dividing your brand's mentions by the total mentions of all brands in the same set of AI answers, then multiplying by 100.
Share of voice = (your brand mentions / all brand mentions) x 100
For example, suppose you track 100 prompts in Perplexity and the answers name 320 brands in total. Your brand is named 48 times, so your share of voice is 15%. A competitor named 96 times holds 30%. The denominator includes every brand that appears, not only the competitors you chose to watch, which keeps the metric honest. All of this depends on accurate counting of AI brand mentions across a stable prompt set.
Why AI share of voice matters
AI share of voice matters because it shows your position relative to competitors, not just your own presence. A flat visibility number can hide a loss: if a rival doubles its mentions while yours stay the same, your share of voice falls.
Teams use AI share of voice to:
Report competitive standing in AI search to leadership
Spot new entrants that engines start recommending
Prioritize topics where one competitor holds most of the mentions
Measure the effect of PR and content campaigns over time
Pair it with competitor gap analysis to see which prompts drive the difference.
AI share of voice vs AI visibility score
AI share of voice measures your slice of all brand mentions, while AI visibility score measures the share of answers that include you at all. The two often move together, but not always.
For example, in a category where answers list eight brands, you might appear in 50% of answers yet hold only 9% share of voice. In a niche category where answers list two brands, a 50% visibility score could mean close to 40% share of voice.
Visibility score tells you whether you are in the conversation. Share of voice tells you how much of the conversation you hold. Tracking both prevents a misleading read from either number alone.
How to increase AI share of voice
You increase AI share of voice by appearing in more answers and by being named more prominently than competitors in the answers you already reach. Focus on the prompts where the gap is largest.
List the prompts where a competitor is named and you are not.
Check which sources the engines use for those prompts, using AI citations data.
Publish or update pages that address those prompts directly, with clear comparisons and facts.
Pursue coverage on the editorial and community sites that engines already trust.
Re-run the same prompts and compare share of voice by engine.
How KIME measures AI share of voice
KIME counts every brand mentioned in your tracked answers and calculates share of voice for you and each competitor. You can filter by engine, country, language and prompt category, and watch how share of voice shifts over time. Track & Analyze shows share of voice alongside visibility, placement and citations, so you can connect a change in share to the sources and prompts behind it. Actions then suggests tasks to close the gaps you find.
Frequently asked questions
Is AI share of voice the same as share of model?
Share of model is another name some marketers use for AI share of voice. Both describe how much of the brand conversation inside AI model answers belongs to you compared with competitors. The calculation is the same: your mentions divided by all brand mentions across a defined set of prompts and engines.
Which competitors should I include in AI share of voice?
Include every brand that appears in the tracked answers when you calculate the total, then highlight the direct competitors you care most about. Limiting the denominator to a hand-picked list inflates your number. Engines often recommend brands you did not expect, and those surprises are useful signals for positioning work.
Why did my AI share of voice drop when my mentions stayed the same?
Your AI share of voice drops when total brand mentions grow faster than yours. If competitors gain mentions, or engines start listing more brands per answer, your slice shrinks even with steady mentions. Check which brands gained and which prompts changed to find the cause.