What does Jev SEO Topic-Gap Reviewer — Find Content Gaps return?

It returns 12 documented output fields: state, questions, index, sourceId, seoContext, intentAlignment, topicGap, duplicateRiskProbability, status, minConfidence, judgments and model. Each field declares its type, a description of what it holds, and an example value.

What input does Jev SEO Topic-Gap Reviewer — Find Content Gaps require?

records is required. A further 2 inputs are optional. The full input schema, with types and defaults, is below.

Does Jev SEO Topic-Gap Reviewer — Find Content Gaps 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 SEO Topic-Gap Reviewer — Find Content Gaps?

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.

Jev SEO Topic-Gap Reviewer — Find Content Gaps

Review supplied SEO query, page, and content context for intent alignment and duplicate risk using a TypeSafe Jev key. It does not retrieve rankings or volume.

Jev SEO Topic-Gap Reviewer — Find Content Gaps returns 12 documented output fields, including state, questions, index, sourceId and seoContext. Every field carries a declared type, a written description and an example value. 19 runs are recorded on Apify.

Run it on ApifyPay per result · no subscription

12: Output fields
3: Inputs
19: Runs
2026-10-15: 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
state	stringnull	Current state of this record in its own lifecycle.
questions	objectnull	Questions as recorded for this row.
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
seoContext	string \| number \| boolean \| array \| objectnull	Seo Context as recorded for this row.	[]
intentAlignment	string \| number \| boolean \| array \| objectnull	Intent Alignment as recorded for this row.	[]
topicGap	string \| number \| boolean \| array \| objectnull	Topic Gap as recorded for this row.	[]
duplicateRiskProbability	string \| number \| boolean \| array \| objectnull	Duplicate Risk Probability as recorded for this row.	[]
status	string \| number \| boolean \| array \| objectnull	Outcome recorded for this row.	ok
minConfidence	string \| number \| boolean \| array \| objectnull	Min Confidence as recorded for this row.	[]
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.

{
  "state": "",
  "questions": "",
  "index": 1,
  "sourceId": "rec_01",
  "seoContext": "[]",
  "intentAlignment": "[]",
  "topicGap": "[]",
  "duplicateRiskProbability": "[]"
}

03 — input

What you give it

Input	Type	Description
records	arrayrequired	Rows with a query, current page/content, and optional observed metrics.
typesafeApiKey	stringoptional	Secret — supply your own value.
maxItems	integeroptional	Hard cap on processed SEO rows.

04 — run

Run Jev SEO Topic-Gap Reviewer 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.

Open on Apify ↗

Also in ai, seo tools

05 — questions

Asked before running it

12 of 12 fields described

What does Jev SEO Topic-Gap Reviewer — Find Content Gaps return?: It returns 12 documented output fields: state, questions, index, sourceId, seoContext, intentAlignment, topicGap, duplicateRiskProbability, status, minConfidence, judgments and model. Each field declares its type, a description of what it holds, and an example value.
What input does Jev SEO Topic-Gap Reviewer — Find Content Gaps require?: records is required. A further 2 inputs are optional. The full input schema, with types and defaults, is below.
Does Jev SEO Topic-Gap Reviewer — Find Content Gaps 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 SEO Topic-Gap Reviewer — Find Content Gaps?: 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.