When an enterprise buyer asks ChatGPT, Gemini, or Claude for the best vendors in your category, the answer names a handful of brands and skips the rest. AI share of voice measures how often your brand is one of the names that appears, compared with your competitors.
For B2B marketing leaders, this metric is becoming as important as search rankings. Your rankings can look healthy while your brand is missing from the AI answers buyers use to build shortlists. This guide shows how to calculate AI share of voice and how to track competitors across the major engines. It also covers how to turn the data into fixes that improve your brand's visibility in AI search.
> Quick answer: To track competitor AI share of voice, follow six steps:
> 1. Choose 4–6 competitors.
> 2. Build a set of 30–100 non-branded buyer prompts.
> 3. Run each prompt several times in each AI engine.
> 4. Log every brand mentioned and every source cited.
> 5. Divide your mentions by the total mentions of all tracked brands, then multiply by 100.
> 6. Repeat the process weekly or monthly to spot trends.
What Is AI Share of Voice?
AI share of voice is the percentage of all brand mentions in AI-generated answers that go to your brand, for a defined set of prompts and competitors. It shows whether AI engines treat you as a category leader, an occasional alternative, or not worth mentioning.
Traditional share of voice tracks ads, rankings, or social mentions. AI share of voice tracks something newer: the recommendations language models make when buyers ask open-ended questions such as "What's the best data security platform for a mid-size bank?"
How to Calculate Share of Voice in Marketing
The classic share of voice formula is simple:
Share of voice (%) = (Your brand's measure ÷ Total market measure) × 100
What counts as the "measure" depends on the channel:
Channel | What you measure | Example |
|---|---|---|
Paid media | Ad spend or impressions | Your $200k ÷ $1M category spend = 20% |
Organic search | Estimated clicks from tracked keywords | Your traffic share across 500 keywords |
Social media | Brand mentions or engagement | Your mentions ÷ all competitor mentions |
AI search | Brand mentions in AI answers | Your mentions ÷ all tracked brand mentions across prompts |
For AI search, use this formula:
AI share of voice (%) = (Your brand mentions across tracked prompts ÷ Mentions of all tracked brands across the same prompts) × 100
Count each brand at most once per answer. Otherwise, one answer that repeats a brand name five times will skew your data.
AI Search vs Traditional SEO Strategies
You can't measure AI share of voice with a rank tracker, because AI search works differently from classic search.
Factor | Traditional SEO | AI search |
|---|---|---|
Output | A ranked list of links | A written answer naming a few brands |
Stability | Rankings stay fairly stable day to day | Answers can change between runs of the same prompt |
What wins | Relevant pages, links, technical health | Clear facts, structured data, third-party agreement about your brand |
Unit of tracking | Keyword | Prompt (often a full sentence) |
Visibility metric | Position 1–100 | Mentioned or not, position in the answer, sentiment |
Influence of other sites | Backlinks pass authority | Review sites, forums, and directories get cited directly |
The two strategies support each other. Gemini and Google AI Overviews rely on Google's index, and other engines retrieve live web results, so strong SEO still feeds AI visibility. The difference is that AI engines condense many sources into one answer, so a single strong page isn't enough on its own.
How Do I Measure Brand Visibility in AI Search Results?
Measuring brand visibility in AI search takes more than one number. Track these six metrics together:
Metric | What it tells you | How to calculate it |
|---|---|---|
Prompt visibility rate | How often you appear at all | Answers mentioning you ÷ total answers |
AI share of voice | Your share of all brand mentions | Your mentions ÷ all tracked brand mentions |
Average answer position | Whether you're named first or last | Mean position of your brand in the list |
Recommendation rate | Whether the engine endorses you | Answers recommending you ÷ answers mentioning you |
Sentiment | How you're described | Positive, neutral, or negative tone of each mention |
Citation share | Whether your own site is a cited source | Answers citing your domain ÷ total answers |
Visibility rate and share of voice can tell different stories. You might appear in 40% of answers and still hold only 15% share of voice if competitors appear even more often. Track both.
How to Track Competitor Share of Voice Across AI Engines: 6 Steps
Step 1: Define Your Competitor Set
Choose 4–6 competitors. Include your usual sales rivals plus any brands that keep appearing in AI answers for your category, even if you rarely meet them in deals. AI engines often surface niche or newer brands that traditional competitive analysis misses.
Step 2: Build a Non-Branded Prompt Set
Write 30–100 prompts that buyers would actually ask. Pull them from sales call notes, support tickets, and RFP questions. Leave your own brand name out: branded prompts make you look more visible than you are.
Group prompts by buying stage:
Stage | Example prompt |
|---|---|
Problem | "How do enterprises reduce third-party vendor risk?" |
Category | "What are the best vendor risk management platforms?" |
Criteria | "Which vendor risk tools integrate with ServiceNow and support SOC 2 mapping?" |
Comparison | "Alternatives to [Competitor A] for global enterprises" |
Step 3: Run Prompts Across Every Major Engine, More Than Once
Cover the engines your buyers use: ChatGPT, Gemini, Claude, Grok, Google AI Overviews, and Perplexity. AI answers vary from run to run, so run each prompt at least three times per engine and average the results. A single manual check is a snapshot, not a measurement.
Step 4: Log Every Answer the Same Way
For each answer, record:
The prompt
The engine
The date
Every brand mentioned, in order
Whether each brand was recommended or only mentioned
The tone of each mention
The source URLs the engine cited
Consistent logging is what makes month-over-month comparisons trustworthy.
Step 5: Calculate Share of Voice per Engine and Overall
Here is an illustrative example: 40 prompts × 5 engines × 3 runs = 600 answers, with 690 total brand mentions.
Brand | Mentions | AI share of voice | Visibility rate |
|---|---|---|---|
Competitor A | 228 | 33.0% | 38% |
Your brand | 156 | 22.6% | 26% |
Competitor B | 141 | 20.4% | 24% |
Competitor C | 102 | 14.8% | 17% |
Competitor D | 63 | 9.1% | 11% |
Next, split the results by engine. Brands often lead in one engine and barely appear in another. That gap is a clue about which sources each engine trusts.
You can also calculate a weighted share of voice that rewards being named first. For example, weight first place at 1.0, second at 0.8, third at 0.6, and fourth or lower at 0.4. Being listed fifth carries far less buying influence than being listed first.
Step 6: Analyze Cited Sources and Sentiment
Share of voice tells you where you stand. Cited sources tell you why. List the domains each engine cites when it recommends competitors, such as review sites, Reddit threads, analyst pages, comparison articles, and competitor documentation. Those domains form your action list. If an engine keeps citing a "best tools" article that leaves you out, getting included there may matter more than publishing another blog post.
Automating AI Share of Voice Tracking
At enterprise scale, manual tracking breaks down quickly. One hundred prompts across five engines at three runs each is 1,500 answers per cycle. That's why AI share of voice belongs in the same automation stack as the rest of your marketing operations.
You have three practical routes:
AI-powered SEO tools with AI visibility tracking. Platforms like [Blazly AI](https://www.blazly.ai/) run your prompt set automatically. Blazly's AI Visibility Tracker maps the non-branded prompts where you appear across ChatGPT, Gemini, Claude, Grok, and Google AI Overviews. Brand Sentiment then shows whether each engine recommends you or only mentions you, and which sources it learned from.
Scheduled workflows inside your B2B marketing automation platform. Blazly lets you chain up to four agents in one scheduled run, for example "Every Monday at 9:00: visibility check → brand sentiment → report." This kind of business automation AI makes share of voice a steady signal instead of a quarterly project. Scheduling is available on [Pro plans and above](https://www.blazly.ai/pricing).
A managed service or AI automation agency. If you'd rather not run the tools yourself, Blazly's AI Discoverability as a Service team runs tracking, fixes, and content for you and reports results monthly. Before you hire any agency, ask which engines it tracks and whether it can push fixes live or only recommend them.
Whichever route you pick, look for B2B automation that connects measurement to action. A dashboard showing a 22% share of voice doesn't change anything until someone fixes the gaps behind it.
How Do I Improve My Brand's Visibility in AI Search?
Once you know where competitors beat you, these AI-driven SEO strategies close the gap:
1. Let AI crawlers in.
Check that robots.txt doesn't block GPTBot, ClaudeBot, PerplexityBot, or Google-Extended, unless you block them on purpose.
2. Add structured data.
Use Organization, Product or SoftwareApplication, FAQ, and Article schema so engines can parse your facts cleanly.
3. Publish an llms.txt file
that summarizes your key pages for language models.
4. Write answer-first pages.
Open each section with a direct 40–60 word answer, then support it with tables and specifics.
5. Create comparison and "best for" content
that matches the criteria-style prompts where competitors win.
6. Earn mentions on the sources engines cite,
such as review platforms, industry roundups, and active community threads.
7. Keep your facts consistent everywhere.
Mismatched pricing, features, or positioning across sites lowers the chance an engine trusts and repeats your claims.
How to Optimize Your Website for Perplexity and Gemini
Each engine finds sources differently, so tailor your work to each one:
Engine | How it finds sources | What to prioritize |
|---|---|---|
Perplexity | Live web retrieval with visible citations on nearly every answer | Allow PerplexityBot. Keep pages fresh and dated. Use clear headings and short answer paragraphs. Earn coverage in the publications it cites in your category. |
Gemini | Grounded in Google Search and Google's knowledge of entities | Strong Google SEO fundamentals, complete schema, an accurate Google Business Profile, and consistent brand details across the web |
Google AI Overviews | Google's index, typically drawing on pages that already rank well | Rank for the underlying query, answer it directly near the top, and use FAQ and Article schema |
ChatGPT and Claude | A mix of training data and live web search when browsing is used | Broad third-party mentions, clear entity descriptions, and crawlable, fast-loading pages |
For Perplexity specifically, check your target prompts manually or with a dedicated tracker. Its visible citations make it easy to see which pages you need to appear on.
Reporting AI Share of Voice to Leadership
Keep the executive view to one page:
Overall AI share of voice and the change since last period
Share of voice by engine
Your top 5 lost prompts, with the competitor that won each one
The top cited sources in your category
Fixes shipped this period
Where possible, tie the trend to AI referral traffic and pipeline using Search Console and GA4. That link is what turns share of voice from a vanity metric into a budget argument.
Frequently Asked Questions
How do I measure brand visibility in AI search results?
Run a fixed set of non-branded buyer prompts across AI engines several times each. Record whether your brand appears, its position in the answer, its sentiment, and which sources are cited. Then calculate prompt visibility rate and AI share of voice, and compare them with your competitors over time.
How do you calculate AI share of voice?
Divide your brand's mentions across tracked prompts by the total mentions of all tracked brands in the same answers, then multiply by 100. Count each brand once per answer, and calculate the figure per engine as well as overall.
How often should enterprises track competitor AI share of voice?
Weekly tracking suits fast-moving categories and active campaigns. Monthly tracking is enough for most executive reporting. Because AI answers vary between runs, look at trends across several cycles rather than reacting to one result.
What is the difference between AI search and traditional SEO strategies?
Traditional SEO aims for a ranked link on a results page. AI search optimization aims to be named and recommended inside a generated answer. AI search depends more on clear facts, structured data, and agreement across third-party sources, while still benefiting from solid SEO foundations.
What are the best AI-powered SEO tools for tracking share of voice?
Look for multi-engine coverage, non-branded prompt tracking, sentiment, cited-source analysis, competitor comparison, and scheduling. Blazly AI combines these with execution agents that push fixes and publish content through [WordPress, Webflow, or webhooks](https://www.blazly.ai/integrations).
Start Measuring Your AI Share of Voice
Your competitors are being recommended in AI answers right now, whether or not you're tracking it. Start with a baseline: 30 non-branded prompts, your top competitors, and every major engine. Then fix the gaps the data reveals, and measure again.
[Start free with 500 credits](https://www.blazly.ai/pricing) to run your first AI visibility check. If you'd like the Blazly team to run it for you, [book a proof of concept](https://www.blazly.ai/contact). To see how other teams run search growth on Blazly, explore our [success stories](https://www.blazly.ai/success-stories).