AI Brand Visibility — ChatGPT, Gemini & Perplexity

What does AI Brand Visibility do?

AI Brand Visibility extracts structured data from the AI answer engines and delivers it as clean JSON — no proxies, browsers or anti-bot handling on your side. It is a practical the AI answer engines API alternative for teams who need the AI answer engines data on a schedule rather than a one-off export.

It covers 3 different the AI answer engines surfaces behind a single Mode dropdown, so one Actor replaces a rack of single-purpose scrapers.

Why scrape the AI answer engines?

• Every surface in one place — pick a mode, fill two fields, run.
• Anti-bot handled upstream — residential proxy rotation, TLS and browser fingerprinting, and CAPTCHA solving happen inside the ScrapeBadger API.
• Pay per call, not per row — a page of results costs the same as one lookup, so bulk work stays cheap.
• Runs on the Apify platform — scheduling, monitoring, webhooks, the API, and integrations with Make, Zapier, Google Sheets, Slack and Airtable all work out of the box.
• Partial results are kept — a transient upstream failure ends the run cleanly instead of discarding what you already paid for.

What data can AI Brand Visibility extract?

Every record is pushed to the dataset as its own row. The most useful fields are below; the full record carries considerably more.

Field	Type	Description
brand	string	Brand name
mentioned	boolean	Whether the brand appeared in the answer at all
mention_count	number	How many times the brand was mentioned
first_position	number	Position of the first brand mention in the answer
share_of_voice_pct	number	Share of voice against the named competitors
cited	boolean	Whether the brand's own domain was cited
citation_rank	number	Citation rank

the AI answer engines scraping modes

Pick one Mode; the input form marks the fields it needs.

Mode	What it returns	Charged as
ChatGPT Visibility	Brand mentions, position, share of voice and citations in a ChatGPT answer.	premium-call
Gemini Visibility	The same measurement against a Google Gemini answer.	premium-call
Perplexity Visibility	The same measurement against a Perplexity answer.	premium-call

How to scrape the AI answer engines

1. Click Try for free and sign in to Apify.
2. Open Settings → Environment variables and add SCRAPEBADGER_API_KEY with your key from scrapebadger.com, ticking Secret.
3. Choose a Mode from the dropdown.
4. Fill in the fields that mode needs — the description on each field says which modes use it.
5. Set Max items to cap the run.
6. Press Start and watch the dataset fill up.
7. Export as JSON, CSV, Excel or XML, or pull it from the API tab.

How much will it cost to scrape the AI answer engines?

This Actor is pay per event: one event per API call, whatever that call returns. Fetching a page of 100 records costs the same as fetching one record, so larger pages are cheaper per row.

Event	Price per event	What triggers it
premium-call	$0.0080	A premium call — an LLM answer or brand-visibility measurement.

Apify also charges its standard $0.001 actor start fee per run. ScrapeBadger credits are consumed on your own account on top of this.

Input

See the Input tab for every option with inline documentation. A minimal run looks like this:

{
  "mode": "ChatGPT Visibility",
  "prompt": "What are the best web scraping APIs?",
  "brand": "ScrapeBadger",
  "domain": "scrapebadger.com",
  "competitors": [
    "Bright Data",
    "Oxylabs",
    "Apify"
  ],
  "max_items": 100
}

Max items caps the run; the Actor pages until it reaches that number or the AI answer engines runs out of results.

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel, or read it straight from the Apify API. Each record is one row:

{
  "brand": "<brand>",
  "mentioned": true,
  "mention_count": 1234,
  "first_position": 1234,
  "share_of_voice_pct": 1234,
  "cited": true
}

What can you do with the AI answer engines data?

A few things teams actually build with this Actor.

Run answer-engine optimisation (AEO) as a weekly report

Pick the 50 prompts your buyers would actually type, run them across ChatGPT, Gemini and Perplexity on a schedule, and chart mention rate, first position and share of voice. That report is the AEO equivalent of a rank tracker.

Prove the ROI of a content push

Set a baseline before you publish, then re-run the same prompt set a month later. Movement in share of voice against named competitors is the cleanest evidence that content changed what the assistants say.

Find where competitors own the answer

The competitor list drives the share-of-voice calculation. Prompts where a rival takes most of the voice are exactly the topics to attack next — and the citation ranks tell you which pages to beat.

Catch a reputation problem early

Mention count without citation usually means the models are talking about you using someone else's framing. Watching that gap is an early warning for reviews, comparison pages or news you have not seen yet.

Tips for faster, cheaper runs

• Raise the page-size field (count, limit, per_page — whichever the mode exposes) before raising Max items. Fewer, bigger calls cost less.
• Use the cheap reference and autocomplete modes to resolve IDs before spending on the expensive detail modes.
• Schedule incremental runs with a low Max items rather than one huge sweep; you get fresher data and a smaller bill.
• Chain Actors with webhooks to push new rows straight into your warehouse.

Requirements

This Actor calls the ScrapeBadger API on your behalf, so it needs your key:

1. Get one at scrapebadger.com — there is a free tier.
2. In Settings → Environment variables, add SCRAPEBADGER_API_KEY with your sb_live_… key and tick Secret.

Credits are consumed on your ScrapeBadger account in addition to the Apify event price.

Frequently asked questions

Is it legal to scrape the AI answer engines?

Scraping publicly available data from the AI answer engines is generally legal, and this Actor only ever reads pages a logged-out visitor could see. What you then do with the data is what matters — read the disclaimer below before collecting anything that could be personal data.

Do I need my own proxies?

No. Proxy rotation, browser fingerprinting and anti-bot handling all happen upstream in the ScrapeBadger API, so there is nothing to configure here.

Do I need a ScrapeBadger account?

Yes. The Actor calls the ScrapeBadger API on your behalf, so it needs your API key in the SCRAPEBADGER_API_KEY environment variable. There is a free tier at scrapebadger.com — see Requirements below.

How many results can I get in one run?

Set Max items to whatever you need. The Actor keeps paging until it hits that number or the AI answer engines runs out of results, and stops cleanly either way.

How much does one run cost?

Events start at $0.0080 and are charged once per API call, not per row — so a page of 100 results costs the same as a single lookup. Apify adds its standard $0.001 actor start fee per run.

What happens if the run fails halfway through?

Whatever was already scraped stays in the dataset. The run ends with a status message explaining where it stopped instead of throwing your results away.

Can I run this on a schedule or from my own code?

Yes. Use the Schedules tab for recurring runs, or the API tab to start runs and read the dataset from your own application.

How is share of voice calculated?

Your brand's mentions are measured against the competitors you name in the input, within the same answer. Naming a realistic competitor set is what makes the number meaningful — leave it empty and there is nothing to compare against.

What do aliases do?

Aliases catch alternative spellings and spacings of your brand so a mention of 'Scrape Badger' still counts as a mention of 'ScrapeBadger'. Add every form you have seen in the wild.

Does this use the official API?

No — and that is the point. It reads the answer the public web interface gives a normal visitor, which is what your customers actually see. API answers differ from web answers because the web product runs its own retrieval and grounding.

Will the same prompt give the same answer twice?

No. These models are non-deterministic and their retrieval changes constantly. That is why the useful pattern is to run the same prompt on a schedule and track the trend, rather than reading a single answer as fact.

Is scraping the AI answer engines reliable?

Anti-bot interstitials are a fact of life on the AI answer engines. A blocked call is retried four times with exponential backoff against fresh exits, and if a run dies partway it keeps everything already scraped rather than throwing the dataset away. Upstream availability is monitored continuously.

Your feedback and support

Found a bug, missing a field, or need a mode that is not here? Open a ticket on the Issues tab, or email support@scrapebadger.com. The API tab has everything you need to run this Actor programmatically.

Disclaimer

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Notes on the AI answer engines

Run the same prompt on a schedule to watch your share of voice move. aliases catches alternative spellings; competitors sets the denominator for share of voice.