Jev AI Answer Visibility Enricher — Brand Tracking
Add typed brand stance, recommendation, and citation-presence judgments to AI-answer datasets using your TypeSafe Jev key.
Jev AI Answer Visibility Enricher — Brand Tracking returns 10 documented output fields, including index, sourceId, prompt, answer and brand. Every field carries a declared type, a written description and an example value. 21 runs are recorded on Apify.
- 10
- Output fields
- 5
- Inputs
- 21
- Runs
- 2026-10-16
- Last run
01 — output
What it returns
Every field the extractor writes to its dataset, with its type, a written description and an example value.
| Field | Type | What it holds | Example |
|---|---|---|---|
| index | string | number | boolean | array | objectnull | Position of this row within the run. | 1 |
| sourceId | string | number | boolean | array | objectnull | Identifier of the input record this row came from. | rec_01 |
| prompt | string | number | boolean | array | objectnull | The prompt that produced the answer. | best note app |
| answer | string | number | boolean | array | objectnull | The answer text that was judged. | Notion is a strong choice. |
| brand | string | number | boolean | array | objectnull | The brand the answer was about. | Notion |
| stance | string | number | boolean | array | objectnull | How the answer positions the brand. | recommended |
| recommendationStrength | string | number | boolean | array | objectnull | How strongly the answer recommends, on a 0-1 scale. | 0.8 |
| citationPresentProbability | string | number | boolean | array | objectnull | Probability a citation was present, on a 0-1 scale. | 0.65 |
| judgments | string | number | boolean | array | objectnull | The full structured judgement returned by the model. | {"stance":{"choice":"recommended"}} |
| model | string | number | boolean | array | objectnull | Identifier of the model that produced the judgement. | jev-latest |
02 — sample
One record
Assembled from the example values declared on the schema above, not invented at render time.
{
"index": 1,
"sourceId": "rec_01",
"prompt": "best note app",
"answer": "Notion is a strong choice.",
"brand": "Notion",
"stance": "recommended",
"recommendationStrength": 0.8,
"citationPresentProbability": 0.65
}03 — input
What you give it
| Input | Type | Description |
|---|---|---|
| records | arrayrequired | Rows with prompt and answer text. The default demonstrates the required shape. |
| brandName | stringrequired | Brand whose visibility should be judged. |
| competitors | arrayoptional | Competitor names to consider when judging preference. |
| typesafeApiKey | stringoptional | Secret — supply your own value. |
| maxItems | integeroptional | Hard cap on enriched records. |
04 — run
Run Jev AI Answer Visibility Enricher on your own input
It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.
05 — questions
Asked before running it
10 of 10 fields described
- What does Jev AI Answer Visibility Enricher — Brand Tracking return?
- It returns 10 documented output fields: index, sourceId, prompt, answer, brand, stance, recommendationStrength, citationPresentProbability, judgments and model. Each field declares its type, a description of what it holds, and an example value.
- What input does Jev AI Answer Visibility Enricher — Brand Tracking require?
- records and brandName are required. A further 3 inputs are optional. The full input schema, with types and defaults, is below.
- Does Jev AI Answer Visibility Enricher — Brand Tracking need an API key or login?
- Yes — typesafeApiKey is marked secret and must be supplied by you. Nothing else in the input schema needs credentials.
- How do I run Jev AI Answer Visibility Enricher — Brand Tracking?
- It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.