Meta AI Brand Visibility Tracker: Mentions & Cited Sources

What is Meta AI Brand Visibility Tracker?

Meta AI Brand Visibility Tracker shows whether Meta AI recommends your brand when people ask the questions your customers ask. Give it your brand, your competitors and a list of questions. For each question you get which brands the answer names, in what order, and which websites it cites, plus your share of answers across the whole run.

It is built for marketers, SEO and GEO specialists and agencies who need to measure AI search visibility without asking an assistant the same questions by hand.

What can this Meta AI tracker do?

• Built for Meta AI. Answers come from Muse Spark, the model behind Meta AI, with live web search switched on.
• Brand analysis, not just text. Mentions, position, competitors named, cited websites and a run summary.
• Spot competitors you did not list. Every product or name the answer puts in bold is reported too.
• Any language and location. Ask in your customers' language, from the country or city you choose.
• Pay per answer. No subscription, and nothing charged for questions that fail.

Because it runs on Apify, you also get:

• Scheduling: repeat the same questions every week and follow your share of answers over time.
• API access: start runs and read results from your own code.
• Integrations: send results to Make, Zapier, n8n, Google Sheets and more.
• Monitoring: get alerted when a run fails or returns less than expected.
• Exports: download results as JSON, CSV or Excel.

What data can you get from Meta AI answers?

Data	What it tells you
Brand mentioned	Whether the answer names your brand
Brand position	Whether your brand comes first, or after competitors
Competitors mentioned	Who Meta AI recommends instead of you
Highlighted terms	Products and names in bold, even ones you did not list
Cited websites	The sources behind the answer, where a mention would count
Search queries	What the model searched for before answering
Share of answers	How often each brand appears across the whole run

How to track your brand in Meta AI

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, such as "What are the best running shoes for flat feet?".
4. Optionally set how many times to ask each question, and the location of the person asking.
5. Click Start. When the run finishes, open the Output tab for the answers and the summary.
6. 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 to track a brand in Meta AI?

You pay per answer. The price depends on your Apify Store discount tier:

Store discount tier	Price per answer
Bronze	$0.045
Silver	$0.04
Gold and above	$0.035

At the Bronze price:

Usage	Answers	Cost
20 questions, once	20	$0.90
20 questions, asked 3 times each	60	$2.70
20 questions, asked 3 times, every week for a month	240	$10.80

Questions that fail are not charged. Set the run's maximum charge to cap spending: the Actor stops before exceeding it.

Input example

{
    "brand": "Brooks",
    "brandAliases": [
        "Brooks Running"
    ],
    "competitors": [
        "ASICS",
        "Hoka",
        "New Balance",
        "Saucony",
        "Nike"
    ],
    "questions": [
        "Which running shoe brand is best for beginners?",
        "What are the best running shoes for flat feet?",
        "What are the most comfortable running shoes for long distances?"
    ],
    "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
repeats	Times to ask each question, from 1 to 5
location	Country or city of the person asking (optional)

Output example

These are real results for the input above, captured on 2026-10-06, with the name of the cited website replaced by example.com. Across the run:

Brand	Share of answers	Named first	Average position
Brooks (your brand)	100%	1	3.7
ASICS	100%	2	1.3
New Balance	100%	0	3.3
Hoka	66.7%	0	3
Nike	66.7%	0	3
Saucony	33.3%	0	3

One result per answer

{
    "question": "What are the best running shoes for flat feet?",
    "repeat": 1,
    "status": "ok",
    "brand": "Brooks",
    "brandMentioned": true,
    "brandPosition": 5,
    "brandsMentioned": [
        {
            "name": "ASICS",
            "isOwnBrand": false,
            "mentions": 2,
            "position": 1
        },
        {
            "name": "Hoka",
            "isOwnBrand": false,
            "mentions": 1,
            "position": 2
        },
        {
            "name": "Saucony",
            "isOwnBrand": false,
            "mentions": 1,
            "position": 3
        },
        {
            "name": "New Balance",
            "isOwnBrand": false,
            "mentions": 1,
            "position": 4
        },
        {
            "name": "Brooks",
            "isOwnBrand": true,
            "mentions": 1,
            "position": 5
        }
    ],
    "competitorsMentioned": [
        "ASICS",
        "Hoka",
        "Saucony",
        "New Balance"
    ],
    "highlightedTerms": [
        "stability shoes",
        "ASICS Gel-Kayano 33 - Best Overall"
    ],
    "citedSources": [
        {
            "url": "https://example.com/best-running-shoes-for-flat-feet/",
            "domain": "example.com",
            "title": "Best Running Shoes for Flat Feet in 2026"
        }
    ],
    "citedDomains": [
        "example.com"
    ],
    "searchQueries": [
        "best running shoes flat feet 2026"
    ],
    "answer": "For flat feet, look for **stability shoes** that address overpronation with arch support and medial stability to keep fe...",
    "answerIsAiGenerated": true,
    "model": "muse-spark-1.3",
    "answeredAt": "2026-10-06T15:55:00.357Z"
}

Field	Meaning
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
highlightedTerms	Products or names the answer put in bold, tracked or not
citedSources, citedDomains	The web pages and websites the answer cites
searchQueries	The web searches the model ran before answering
answer	The full answer text. It is generated by an AI model

Run summary

The Summary link in the Output tab gives the figures across all answers:

{
    "brand": "Brooks",
    "answersAnalysed": 3,
    "answersFailed": 0,
    "brands": [
        {
            "name": "Brooks",
            "isOwnBrand": true,
            "answersMentioning": 3,
            "shareOfAnswers": 100,
            "namedFirst": 1,
            "averagePosition": 3.7
        },
        {
            "name": "ASICS",
            "isOwnBrand": false,
            "answersMentioning": 3,
            "shareOfAnswers": 100,
            "namedFirst": 2,
            "averagePosition": 1.3
        }
    ],
    "topCitedDomains": [
        {
            "domain": "example.com",
            "answers": 1
        }
    ]
}

Use cases

• Brand monitoring: check whether Meta AI recommends you, a competitor, or nobody you know.
• Share of voice over time: schedule the same questions weekly and compare your share of answers.
• Generative engine optimization (GEO): see which websites Meta AI relies on in your market, to know where a mention would count.
• Client reporting: give agency clients a repeatable measure of their AI visibility.
• Wider AI monitoring: add Meta AI to the assistants you already track.

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

How do I check if Meta AI mentions my brand?

Enter your brand and the questions your customers ask, then start the run. brandMentioned tells you for each question, and the summary gives your share across all of them.

Are these the same answers people see in the Meta AI app?

They come from the same model family, Muse Spark, reached through Meta's official developer interface with web search on. They are not guaranteed to be identical to what a given person sees in the app: the app can personalise answers, and any AI answer varies from one time to the next. Treat the results as a measurement of how the model tends to answer, not as a copy of one person's screen.

Why do answers change between runs?

AI assistants do not give the same answer twice. Set Times to ask each question to 3 or more for a steadier share figure.

How are brands detected?

By looking for each name you provide as a whole word, ignoring upper and lower case. Add alternative spellings under Other spellings of your brand. 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.

Can I use it from my own code, Make, Zapier or n8n?

Yes. Call it through the Apify API (see below), or connect it with Apify's integrations for Make, Zapier and n8n.

What happens to my questions?

They are sent to Meta's model to be answered, without being stored there for later reuse by this Actor. Results are stored only in your own Apify account.

Limits

• Tracks the brands you list. Other names appear only in highlightedTerms.
• The model decides for each question whether to search the web, so some answers have no cited sources.
• Answers are kept short (about 250 words) and each question is limited to two search steps, to keep the price low.
• Up to 100 questions and 5 repetitions per run.
• Not available in the territories where Meta restricts its developer services.

Other Actors you may find useful

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TikTok Transcript	What is said in TikTok videos, with creator and public counts
Instagram Reels Transcript	What is said in Instagram Reels, with creator and public counts
Spotify Podcast Transcript	Find out what podcasts say about your market

Run it from the API

With cURL:

curl -X POST "https://api.apify.com/v2/acts/spokentext~meta-ai-brand-visibility/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/meta-ai-brand-visibility").call(run_input={
    "brand": "Brooks",
    "competitors": ["ASICS", "Hoka"],
    "questions": ["What are the best running shoes for flat feet?"],
})
for answer in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(answer["question"], answer["brandMentioned"], answer["brandPosition"])

This Actor is an independent tool. It is not affiliated with or endorsed by Meta.

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