AI Share of Voice: AI Visibility Checker & Report, 4 Assistants

What is AI Share of Voice?

AI Share of Voice measures how visible your brand is across four AI assistants at once: OpenAI's GPT models (the family behind ChatGPT), Grok, Meta AI and Mistral. Give it your brand, your competitors and the questions your customers ask. Every assistant answers each question with live web search, and you get:

• which brands each answer names, and in what order
• your share of answers per assistant, side by side
• the gaps: questions where an assistant names your competitors but not you
• the websites the assistants cite, where each one shares them

It is built for marketers, SEO and GEO specialists and agencies who report on AI search visibility and want one run, one table, instead of four tools.

Why use it?

• Four assistants in one run. No other Store tool covers Grok, Meta AI and Mistral together, and this one adds OpenAI GPT on top.
• A comparison, not four exports. The summary lines up your share of answers and average position for each assistant, and lists every question where you are missing.
• Official APIs with web search. Each provider's own developer interface, so answers reflect what is online today.
• Pay per answer. The comparison report is included. Nothing is charged for answers that fail.
• Choose your assistants. Ask all four, or only the ones your clients care about.

Because it runs on Apify, you also get:

• Scheduling: repeat the same questions every week and follow each assistant over time.
• API access: start runs and read results from your own code.
• Integrations: send results to Make, Zapier, n8n, Google Sheets and more.
• Exports: download results as JSON, CSV or Excel.

What data do you get?

Data	What it tells you
Share of answers per assistant	How often each assistant names your brand
Average position per assistant	Whether you come first, or after competitors
Gaps	Questions where an assistant names competitors and not you
Coverage per question	For each question, your share with each assistant
Competitors mentioned	Who each assistant recommends instead of you
Highlighted terms	Products and names in bold, even ones you did not list
Cited websites	The sources behind the answers, where a mention would count
Search queries	What each assistant searched for before answering

How to use it

1. Enter your brand and, if needed, other spellings of it.
2. List the competitors you want to compare against.
3. Write the questions a customer would ask, one per line.
4. Keep all four AI assistants, or untick the ones you do not need.
5. Optionally set how many times to ask each question, and the location of the person asking.
6. Click Start. Open the Output tab for the answers and the comparison summary.
7. To follow your visibility over time, save the run as a task and add a weekly schedule.

Live answers need a paid Apify plan. On the free plan, the Actor returns clearly labelled sample rows and charges nothing for your questions, so you can see the exact output format.

How much does it cost?

You pay per answer: one question asked to one assistant. The comparison summary is included.

Store discount tier	Price per answer
Bronze	$0.06
Silver	$0.057
Gold and above	$0.055

At the Bronze price, with all four assistants:

Usage	Answers	Cost
10 questions, once	40	$2.40
10 questions, asked 3 times each	120	$7.20
10 questions, once a week for a month	160	$9.60

Set the run's maximum charge to cap spending. When the limit is reached, the Actor stops after a question has been put to every assistant, so the figures stay comparable.

Input example

{
    "brand": "Brooks",
    "brandAliases": [
        "Brooks Running"
    ],
    "competitors": [
        "ASICS",
        "Hoka",
        "New Balance",
        "Saucony",
        "Nike"
    ],
    "questions": [
        "What are the best running shoes for flat feet?",
        "Which running shoe brand is best for beginners?",
        "What are the most comfortable running shoes for long distances?"
    ],
    "engines": ["openai", "grok", "meta", "mistral"],
    "repeats": 1
}

Field	Meaning
brand	The brand you want to track
brandAliases	Other spellings of your brand (optional)
competitors	The brands to compare against
questions	What your customers would ask, up to 100 per run
engines	The assistants to ask: openai, grok, meta, mistral
repeats	Times to ask each question, from 1 to 5
location	Country or city of the person asking (optional)

Output example

Real results for the input above, captured on 2026-11-03: 12 answers in 16 seconds. Your share of answers and average position, per assistant:

Assistant	Brooks named	Average position	Most named competitor
OpenAI GPT	100%	1	ASICS, Saucony (66.7%)
Grok	100%	1	ASICS, Hoka, Saucony (100%)
Meta AI	100%	1.7	ASICS, Hoka, New Balance, Saucony (100%)
Mistral	100%	1	ASICS, Hoka (100%)

Across the four assistants, Brooks was named first in 11 of 12 answers; ASICS came next, in 91.7% of answers. Meta AI was the only assistant to put a competitor ahead of Brooks.

One result per answer

The names of the cited websites are replaced by example.com here.

{
    "question": "What are the best running shoes for flat feet?",
    "repeat": 1,
    "engine": "openai",
    "engineName": "OpenAI GPT",
    "model": "gpt-6-luna",
    "status": "ok",
    "brand": "Brooks",
    "brandMentioned": true,
    "brandPosition": 1,
    "brandsMentioned": [
        { "name": "Brooks", "isOwnBrand": true, "mentions": 1, "position": 1 },
        { "name": "Saucony", "isOwnBrand": false, "mentions": 2, "position": 2 },
        { "name": "ASICS", "isOwnBrand": false, "mentions": 1, "position": 3 }
    ],
    "competitorsMentioned": ["Saucony", "ASICS"],
    "highlightedTerms": [
        "Brooks Adrenaline GTS 25 — best all-around stability shoe.",
        "Saucony Guide 19 — best for firmer, moderate support.",
        "ASICS GT-2000 15 — best lighter option."
    ],
    "citedSources": [
        {
            "url": "https://example.com/running-shoes-flat-feet/",
            "domain": "example.com",
            "title": "The 8 Best Running Shoes for Flat Feet in 2026"
        }
    ],
    "citedDomains": ["example.com"],
    "sourcesAvailable": true,
    "searchQueries": [
        "best running shoes flat feet 2026 stability shoes review"
    ],
    "answer": "**Best starting picks for flat feet:**\n\n- **Brooks Adrenaline GTS 25 — best all-around stability shoe.** Its GuideRails offer gentle support...",
    "answerIsAiGenerated": true,
    "answeredAt": "2026-11-03T22:39:49.334Z"
}

Field	Meaning
engine, engineName	Which assistant answered
brandMentioned	Whether the answer names your brand
brandPosition	Order in which your brand first appears among the tracked brands. 1 means it was named first
brandsMentioned	Every tracked brand found, in order of first appearance, with the number of mentions
citedSources, citedDomains	The web pages and websites the answer cites
sourcesAvailable	False for Mistral, whose terms do not allow its sources to be passed on
searchQueries	The web searches the assistant ran before answering
answer	The full answer text. It is generated by an AI model

Comparison summary

The Summary link in the Output tab holds the comparison:

{
    "brand": "Brooks",
    "answersAnalysed": 12,
    "answersFailed": 0,
    "overall": [
        { "name": "Brooks", "isOwnBrand": true, "answersMentioning": 12, "shareOfAnswers": 100, "namedFirst": 11, "averagePosition": 1.2 },
        { "name": "ASICS", "isOwnBrand": false, "answersMentioning": 11, "shareOfAnswers": 91.7, "namedFirst": 1, "averagePosition": 2.3 }
    ],
    "byEngine": [
        {
            "engine": "meta",
            "engineName": "Meta AI",
            "answersAnalysed": 3,
            "yourShareOfAnswers": 100,
            "yourAveragePosition": 1.7,
            "leader": "Brooks",
            "brands": ["..."],
            "topCitedDomains": []
        }
    ],
    "questionsByEngine": [
        {
            "question": "What are the best running shoes for flat feet?",
            "yourShareByEngine": { "openai": 100, "grok": 100, "meta": 100, "mistral": 100 }
        }
    ],
    "gaps": [],
    "topCitedDomains": [
        { "domain": "example.com", "answers": 3 }
    ]
}

Field	Meaning
overall	Share of answers, first places and average position for each brand, all assistants together
byEngine	The same figures for each assistant, with its most cited websites
questionsByEngine	For each question, your share with each assistant
gaps	Each answer that names competitors but not you, with the assistant and the competitors named. Empty here, as Brooks was named every time
topCitedDomains	The websites cited most across assistants

Use cases

• AI visibility reporting: one weekly table per client, covering four assistants.
• Find where you are missing: the gaps list shows which assistant to work on, and for which question.
• Generative engine optimization (GEO): see which websites the assistants rely on in your market, to know where a mention would count.
• Competitive monitoring: follow how often each competitor is recommended, assistant by assistant.
• European markets: Mistral and location settings cover customers who ask in French, German, Spanish and other languages.

Tips for reliable results

• Ask like a customer. "What is the best CRM for a small team?" reveals more than a question that names your brand.
• Ask each question 3 times or more. AI answers vary, so a single answer can mislead.
• Keep the same questions over time. Changing them makes weeks impossible to compare.
• Add other spellings of your brand, so that no mention is missed.

FAQ

Which models answer?

OpenAI gpt-6-luna, xAI grok-4.3, Meta muse-spark-1.3 and mistral-medium-latest, each through its provider's official API with web search switched on. The model field of every row names the model used.

Are these the same answers people see in ChatGPT, Grok, Meta AI or Le Chat?

Not exactly. Consumer apps can use other models, personalise answers or search differently, and any AI answer varies from one time to the next. Treat the results as a measurement of how each assistant's model tends to answer, not as a copy of one person's screen. This tool measures brand visibility; it does not rate the assistants against each other.

Why are some sources missing?

Mistral's terms for web search allow the pages it finds to be viewed, not stored or passed on, so Mistral rows never include sources (sourcesAvailable is false). Meta AI often answers without citing pages, so its rows can have none either.

How are brands detected?

By looking for each name you provide as a whole word, ignoring upper and lower case. Links inside the answer are removed first, so a brand in a web address does not count. Very short or common names, such as "On" or "Apple", can match ordinary words; check brandsMentioned against the answer text for those.

Can I ask questions for a specific country?

Yes. Set Location of the person asking to a country or city, and write the questions in that market's language.

What happens to my questions?

They are sent to each provider's model to be answered, with storage switched off where the provider offers it. Results are stored only in your own Apify account.

Limits

• Tracks the brands you list. Other names appear only in highlightedTerms.
• Up to 100 questions and 5 repetitions per run.
• Answers are kept short (about 250 words). Each assistant decides how many searches to run, within a limit of two for OpenAI and Meta AI.

Other Actors you may find useful

Actor	What it does
Grok Brand Visibility Tracker	Grok only, at the same price per answer
Meta AI Brand Visibility Tracker	Meta AI only, at a lower price per answer
Mistral AI Brand Visibility Tracker	Mistral only
Keyword Ideas Generator	Long-tail keyword ideas, to find the questions customers ask

Run it from the API

With cURL:

curl -X POST "https://api.apify.com/v2/acts/spokentext~ai-share-of-voice/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ "brand": "Brooks", "competitors": ["ASICS", "Hoka"], "questions": ["What are the best running shoes for flat feet?"] }'

With Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("spokentext/ai-share-of-voice").call(run_input={
    "brand": "Brooks",
    "competitors": ["ASICS", "Hoka"],
    "questions": ["What are the best running shoes for flat feet?"],
})
summary = client.key_value_store(run["defaultKeyValueStoreId"]).get_record("SUMMARY")["value"]
for engine in summary["byEngine"]:
    print(engine["engineName"], engine["yourShareOfAnswers"], engine["yourAveragePosition"])

This Actor is an independent tool. It is not affiliated with or endorsed by OpenAI, xAI, X, Meta or Mistral AI; their names only describe the assistants it measures.

Feedback

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