Run a live visibility check
Measure brand mentions, position, competitors, sentiment, answers, and sources for one prompt.
Use the visibility endpoint when you have a specific audience question and want to compare how one or more AI engines answer it.
curl -X POST https://api.trackee.dev/v1/visibility \
-H "x-access-key: YOUR_ACCESS_KEY" \
-H "Content-Type: application/json" \
-d '{
"brand": "Acme",
"brandId": "BRAND_ID",
"prompt": "What is the best project management software for startups?",
"engines": ["chatgpt", "claude", "gemini", "perplexity"],
"competitors": ["Linear", "Asana", "Monday.com"],
"sentiment": true,
"web_search": true
}'The check costs 3 credits per engine. Sentiment adds 1 credit per engine. The example can cost up to 16 credits: four engines × four credits.
Including brandId stores one snapshot for each successful engine. Omit it for a one-off check that should not affect the brand's history. A saved brand also contributes its aliases when Trackee looks for mentions.
Read the summary
| Field | Meaning |
|---|---|
coverage_pct | Percentage of completed engine results that mention the brand. |
avg_position | Average list or prose position among results where the brand appears. |
share_of_voice | Brand mentions as a share of brand-plus-competitor appearances. It is null without competitors. |
sentiment | Positive, neutral, and negative counts. It is null unless you request sentiment. |
Inspect results, not only the summary. Each result contains the answer, cited sources, detected competitors, and any engine error. Trackee charges only for engines that return an answer.
Choose a model
Trackee selects a default model for each engine. Call GET /v1/models before setting models because supported model names can change.
{
"models": {
"chatgpt": "MODEL_FROM_THE_MODELS_ENDPOINT",
"gemini": "MODEL_FROM_THE_MODELS_ENDPOINT"
}
}See the complete POST /v1/visibility reference.