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AI Share of Voice Calculator

AI share of voice is calculated by dividing your brand mentions by all brand and competitor mentions in the same buyer-intent prompt set. The number is useful only when prompts, platforms, and counting rules are consistent.

Use the calculatorEstimate your visibility score

What you get

  • The basic formula is your mentions divided by total relevant vendor mentions.
  • Recommendation mentions should be tracked separately from passing mentions.
  • Platform-level share matters because ChatGPT, Gemini, Perplexity, and Google AI may behave differently.
  • A low share of voice is a source and positioning problem, not just a prompt problem.

Calculate competitive AI mention share

Enter mentions from one clean buyer-intent prompt set. Count your brand and competitors using the same rule, then use the result to decide whether to audit sources behind the answers.

Count named recommendations or shortlist mentions.

Most visible direct competitor.

Second direct competitor.

Third direct competitor.

Use the same prompt set for every vendor.

1 counts direct recommendations, 0 counts all shortlist mentions.

Directional estimate

11%

Recommendation share of voice

Competitors own the shortlist

Your brand is not present often enough in the tested prompt set. Inspect competitor citations and missing third-party sources first.

Top named vendor
Competitor A
Gap to leader
6 mentions
Prompts tested
20
Competitor mentions
17

Use the result to choose which competitor source trails to inspect. Share of voice tells you who is winning; source review tells you why.

Run a prompt audit

Answer first

The honest boundary

Share of voice is the clearest metric in AI visibility because it makes the loss concrete. But it becomes misleading if teams count branded prompts, skip competitors, or mix different prompt intents into one number.

Share of voice measures visibility in a tested prompt set. It does not prove conversion rate, revenue impact, or full-market awareness.

Table of contents

What is the AI share of voice formula?What counts as a mention?Should you weight platforms differently?What is a good AI share of voice?What mistakes make AI share of voice unreliable?How should teams act on low AI share of voice?FAQ

Formula

How this calculator thinks

AI SOV = brand mentions / (brand mentions + competitor mentions) * 100.

Inputs

  • Your brand mentions
  • Competitor A mentions
  • Competitor B mentions
  • Competitor C mentions
  • Prompt count
  • Whether you are counting only direct recommendations or all shortlist mentions
  • Platform weight if one AI surface matters more to your buyers

Outputs

  • AI share of voice percentage
  • Top competitor by mentions
  • Mention gap to the leader
  • Interpretation band and next action
SOV formulaIntent familyMention denominator

What is the AI share of voice formula?

AI share of voice equals your brand mentions divided by all relevant vendor mentions in the same prompt set, multiplied by 100.

The clean formula is simple: your mentions / total vendor mentions * 100. If your brand appears 2 times and competitors appear 18 times, your AI share of voice is 10%. That number is uncomfortable, but it is also clear enough for a team to act on.

The discipline is in the denominator. You should include competitors named in the same answers and same intent class. Do not combine law-firm CRM prompts with ecommerce accounting prompts, and do not compare a branded support prompt with an unbranded buying prompt.

  • Use one intent family per calculation.
  • Keep platform and date ranges visible in the report.
  • Track recommendations and citations as separate fields when possible.
Mention rulesRecommendation labelsCounting consistency

What counts as a mention?

Count a mention when the AI answer names a vendor as a relevant option, recommendation, alternative, shortlist item, or source-backed example.

A direct recommendation is the strongest mention. A shortlist mention is still useful because it puts a brand in the buyer's consideration set. A passing mention in a paragraph can count if it clearly positions the brand in the category, but it should be labeled differently from a recommendation.

Do not count every occurrence of a word. If the answer names the same competitor three times while discussing one recommendation, count the vendor once for that answer unless your methodology says otherwise. Consistency is more important than squeezing the metric upward.

Mention typeCount?How to label it
Direct recommendationYesRecommendation mention
Shortlist itemYesShortlist mention
Citation onlyUsually separateSource mention
Repeated name in same answerUsually onceDuplicate mention
Platform weightingChatGPT visibilityGoogle AI visibility

Should you weight platforms differently?

Weight platforms only when you have a business reason, such as sales calls where buyers repeatedly mention one AI tool or one answer surface.

A simple average across platforms is the safest starting point. ChatGPT, Gemini, Perplexity, and Google AI features each have different behaviors, citation surfaces, and user expectations. Weighting too early can hide a serious platform-specific weakness.

There are valid exceptions. A local service business may care more about Google AI results because buyers search near me. A technical B2B SaaS company may care more about ChatGPT and Perplexity if prospects use them for shortlist research. Document the weight so the number stays honest.

  1. 1. Calculate raw share of voice per platform first.
  2. 2. Explain why any platform receives extra weight.
  3. 3. Show both weighted and unweighted numbers in client reports.
Benchmark bandCompetitive gapPrompt family trend

What is a good AI share of voice?

A good AI share of voice depends on market size, but below 15% usually signals a discovery problem and above 40% often means you have a defensible base.

Do not treat those thresholds as universal law. A category with ten legitimate vendors will have lower shares than a local niche with three strong players. The useful question is whether your share is reasonable for your market position and whether it is improving after fixes.

The more important comparison is often against one or two named competitors. If a rival appears in 14 answers and you appear in 2, the absolute market benchmark matters less than the immediate competitive gap.

  • Below 15%: diagnose missing sources and competitor dominance.
  • 15% to 40%: improve weak prompt families and factual errors.
  • Above 40%: monitor drift and defend high-intent prompts.
Method riskSaved answersTrend integrity

What mistakes make AI share of voice unreliable?

The biggest mistakes are mixing intents, counting branded prompts, ignoring competitors, and failing to save the answer text that produced the count.

A share-of-voice number without answer evidence is hard to trust. The report should preserve enough prompt and answer detail that another person can reproduce the count. That is especially important for agencies using reports as a sales motion.

Another mistake is acting as if share of voice explains everything. A brand can have decent mentions but poor citations, or a low mention count caused by one wrong third-party directory. The SOV number should send you into source analysis, not replace it.

Never compare an old prompt set with a new prompt set and call the difference a trend. Keep prompts stable before measuring change.

Source mapCompetitor comparisonRetest plan

How should teams act on low AI share of voice?

Low share of voice should trigger source mapping, competitor comparison review, and fixes tied to the prompt families where buyers are already asking.

Start by identifying which competitors appear and why. Are they cited through their own comparison pages? Are they present in directories, review sites, industry lists, Reddit threads, or analyst pages where you are missing? The answer determines the fix.

Then build the smallest useful backlog. That might be one brand-versus-competitor page, one best-X-for-Y page, one FAQ update with schema, and three third-party profile corrections. The win is not publishing more content. The win is changing the evidence available to the answer.

  • Map competitor-owned citations first.
  • Separate missing owned pages from missing third-party proof.
  • Retest the exact prompt set after fixes are live.

Sources

Reference points used in this guide

These are not secret ranking factors. They are public documentation and schema references that keep the calculator grounded in accessible source, crawl, and structured data realities.

Google Search documentation on AI featuresGoogle guidance for AI features and website ownersOpenAI crawler documentationPerplexity crawler documentationSchema.org WebApplicationSchema.org FAQPage

FAQ

Short answers for buyers and teams

Is AI share of voice the same as SEO share of voice?

No. SEO share of voice usually tracks rankings or estimated organic visibility. AI share of voice tracks named vendors in AI answers for a defined prompt set.

Should citations count as mentions?

Usually they should be tracked separately. A citation can support an answer without recommending the brand, and a recommendation can appear without an exposed citation.

How many prompts do I need?

Twenty well-chosen buyer-intent prompts are enough for a first directional audit. Use more when the market has multiple buyer segments, regions, or use cases.

Can I compare this month to last month?

Yes, if you keep the prompt set, platforms, geography, and counting rules stable. Otherwise you may be measuring methodology changes instead of visibility changes.

What should I do if a competitor dominates?

Inspect the sources behind that competitor's mentions. The fix may be a comparison page, third-party directory correction, stronger review profile, or more specific proof page.

Related calculators and reports

Turn the estimate into evidence.

A calculator shows severity. A real audit stores prompt answers, competitor mentions, cited URLs, errors, and the source repairs that can change future answers.

ChatGPT visibility calculatorAI visibility benchmarksWhy AI recommends competitorsMeasure AI share of voiceFree AI visibility auditSample reportPricingAI visibility audit method
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