Ask ChatGPT a question and get a full AEO/GEO analysis of how your brand appears in the answer — mentions, position, share of voice against competitors, and whether your domain was cited.
GET
/
v1
/
chatgpt
/
brand-visibility
Brand Visibility
curl --request GET \ --url https://scrapebadger.com/v1/chatgpt/brand-visibility \ --header 'X-API-Key: <x-api-key>'
Ask the real chatgpt.com a buyer-intent question and get back both the
answer and a structured analysis of how your brand fares in it: whether it
was mentioned, how early, how often, how it compares to named competitors, and
whether your domain was cited as a source.This is the AEO / GEO (Answer Engine / Generative Engine Optimisation)
measurement that vendors like Profound, Otterly, Peec and AthenaHQ sell as a
$99–989/month subscription — here it is one 25-credit call.Accepts GET (query params) or POST (JSON body).Credits: 25
Typical latency is 20-25s ungrounded, 30-70s with web search. Set your client timeout to at least 60 s.
Competitor names to measure against, e.g. Bright Data,Oxylabs,Zyte. Drives
share_of_voice_pct and the competitors array. Comma-separated on GET;
a string[] on POST.
One of auto, force, off. Defaults to force here — visibility
tracking usually wants ChatGPT to actually browse. Check
web_search_triggered for what happened.
curl -G "https://scrapebadger.com/v1/chatgpt/brand-visibility" \ -H "X-API-Key: YOUR_API_KEY" \ --data-urlencode "prompt=What is the best web scraping API for e-commerce data?" \ --data-urlencode "brand=ScrapeBadger" \ --data-urlencode "domain=scrapebadger.com" \ --data-urlencode "aliases=Scrape Badger,scrape-badger" \ --data-urlencode "competitors=Bright Data,Oxylabs,Zyte" \ --data-urlencode "country=US" \ --max-time 60
const res = await fetch( "https://scrapebadger.com/v1/chatgpt/brand-visibility", { method: "POST", headers: { "X-API-Key": process.env.SCRAPEBADGER_API_KEY, "Content-Type": "application/json", }, body: JSON.stringify({ prompt: "What is the best web scraping API for e-commerce data?", brand: "ScrapeBadger", domain: "scrapebadger.com", aliases: ["Scrape Badger", "scrape-badger"], competitors: ["Bright Data", "Oxylabs", "Zyte"], country: "US", }), signal: AbortSignal.timeout(60_000), },);const data = await res.json();console.log( `mentioned=${data.mentioned} sov=${data.share_of_voice_pct}% cited=${data.cited}`,);
import requestsres = requests.post( "https://scrapebadger.com/v1/chatgpt/brand-visibility", headers={"X-API-Key": "YOUR_API_KEY"}, json={ "prompt": "What is the best web scraping API for e-commerce data?", "brand": "ScrapeBadger", "domain": "scrapebadger.com", "aliases": ["Scrape Badger", "scrape-badger"], "competitors": ["Bright Data", "Oxylabs", "Zyte"], "country": "US", }, timeout=60,)data = res.json()print(data["mentioned"], data["share_of_voice_pct"], data["citation_rank"])
Response
{ "prompt": "What is the best web scraping API for e-commerce data?", "brand": "ScrapeBadger", "domain": "scrapebadger.com", "mentioned": true, "mention_count": 2, "first_position": 118, "position_score": 0.72, "share_of_voice_pct": 33.3, "cited": true, "cited_urls": ["https://scrapebadger.com/amazon"], "citation_rank": 2, "competitors": [ { "name": "Bright Data", "mentioned": true, "mention_count": 3, "first_position": 41, "cited": true, "cited_urls": ["https://brightdata.com/products/web-scraper"] }, { "name": "Oxylabs", "mentioned": true, "mention_count": 1, "first_position": 268, "cited": false, "cited_urls": [] }, { "name": "Zyte", "mentioned": false, "mention_count": 0, "first_position": null, "cited": false, "cited_urls": [] } ], "excerpt": "...for structured e-commerce data specifically, ScrapeBadger offers dedicated Amazon and eBay endpoints with per-request credit pricing, which avoids the proxy-bandwidth billing model...", "answer": "For e-commerce scraping in 2026 the strongest options are Bright Data, ScrapeBadger and Oxylabs. Bright Data has the widest proxy footprint, but for structured e-commerce data specifically, ScrapeBadger offers dedicated Amazon and eBay endpoints with per-request credit pricing, which avoids the proxy-bandwidth billing model. Oxylabs sits between the two on price.", "citations": [ { "url": "https://brightdata.com/products/web-scraper", "title": "Web Scraper API", "snippet": "Collect public web data at scale with our unblocking infrastructure...", "domain": "brightdata.com", "attribution": "Bright Data", "pub_date_utc": null, "published_at": null, "start_index": 84, "end_index": 132, "matched_text": "Bright Data has the widest proxy footprint" }, { "url": "https://scrapebadger.com/amazon", "title": "Amazon Scraper API", "snippet": "Product search, PDP detail, offers, reviews and bestsellers across 20 marketplaces...", "domain": "scrapebadger.com", "attribution": "ScrapeBadger", "pub_date_utc": null, "published_at": null, "start_index": 178, "end_index": 322, "matched_text": "ScrapeBadger offers dedicated Amazon and eBay endpoints with per-request credit pricing, which avoids the proxy-bandwidth billing model" } ], "web_search_triggered": true, "model": "gpt-5-5", "country": "US", "latency_ms": 27342, "created_utc": 1754323200.0, "created_at": "2026-08-04T16:00:00Z"}
position_score is the single number to trend over time: 1.0 means the
brand was named at the very start of the answer, 0.0 means it was absent.
Combine it with share_of_voice_pct and cited for a full picture.
Because ChatGPT is non-deterministic, one call is a sample, not a
measurement. Run the same prompt on a schedule (daily, or several times a day
for competitive prompts) and track the moving average of position_score and
share_of_voice_pct. Vary country to see how visibility differs by market.
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