API

AI Search

The AI Search API provides tools to analyze a domain’s visibility and performance within Large Language Model (LLM) results. You can retrieve high-level overviews, find specific prompts that feature a target domain or brand, and discover the brand name associated with a domain.

Overview

GET https://api.seranking.com/v1/ai-search/overview

Cost: 2000 credits per request

Get a high-level overview of a domain’s performance in LLM, including key metrics like link presence, average position, and AI traffic, along with historical dynamics (trends over time).

Request parameters

Parameter	Type	Required	Default	Description
engine	string	Yes	n/a	The LLM to query (e.g., `ai-overview`, `chatgpt`, `perplexity`, `gemini`, `ai-mode`).
target	string	Yes	n/a	The target to analyze for LLM performance. Can be a root domain, subdomain, or a specific URL.
source	string	Yes	n/a	Alpha-2 country code for the regional prompt database (e.g., `us` for United States results).
scope	string	Yes	`base_domain`	Scope of analysis: base_domain (aggregate by registrable domain, includes all subdomains), domain (exact host only, no subdomain aggregation), url (exact URL including path and query)

Request example

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curl --location 'https://api.seranking.com/v1/ai-search/overview?target=seranking.com&scope=domain&source=us&engine=chatgpt' \

--header 'Authorization: Token YOUR_API_KEY'

Response parameters

If successful, the server returns a JSON object containing aggregated metrics, changes from the previous period, and time-series data for generating charts.

Parameter	Type	Description
summary	object	An object containing key performance metrics like `link_presence`, `average_position`, and `ai_opportunity_traffic`.
time_series	object	An object containing historical data arrays for `overall_traffic`, `organic_traffic`, `ai_traffic`, `link_presence`, and `average_position`.

Each object within the summary object has the following structure:

Parameter	Type	Description
current	float	The value for the current period.
previous	float	The value for the previous period.
change_absolute	float	The absolute difference between the current and previous periods.
change_percent	float	The percentage change between the current and previous periods.

Each array within the time_series object contains a series of objects with the following structure:

Parameter	Type	Description
date	string	The month and year of the data point (YYYY-MM).
value	float	The metric’s value for that month.

Response example

A successful request returns a JSON object with a comprehensive overview of LLM performance metrics.

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{

    "summary": {

        "link_presence": {

            "current": 8210,

            "previous": 11124,

            "change_absolute": 2914,

            "change_percent": 26.2

        },

        "average_position": {

            "current": 9.93,

            "previous": 12.84,

            "change_absolute": 2.91,

            "change_percent": 22.66

        },

        "ai_opportunity_traffic": {

            "current": 2950,

            "previous": 5055,

            "change_absolute": 2105,

            "change_percent": 41.64

        }

    },

    "time_series": {

        "overall_traffic": [

            { "date": "2025-08", "value": 43386 },

            { "date": "2025-09", "value": 74392 }

        ],

        "organic_traffic": [

            { "date": "2025-08", "value": 38331 },

            { "date": "2025-09", "value": 71442 }

        ],

        "ai_traffic": [

            { "date": "2025-08", "value": 5055 },

            { "date": "2025-09", "value": 2950 }

        ],

        "link_presence": [

            { "date": "2025-08", "value": 11124 },

            { "date": "2025-09", "value": 8210 }

        ],

        "average_position": [

            { "date": "2025-08", "value": 12.84 },

            { "date": "2025-09", "value": 9.93 }

        ]

    }

}

Discover brand by URL

GET https://api.seranking.com/v1/ai-search/discover-brand

Cost: 100 credits per request

Identify the brand name associated with the specified target domain. This utility endpoint is useful for programmatically finding a brand before using it in other queries.

Request parameters

Parameter	Type	Required	Default	Description
target	string	Yes	n/a	The target to analyze for LLM performance. Can be a root domain, subdomain, or a specific URL.
source	string	Yes	n/a	Alpha-2 country code for the regional prompt database (e.g., `us` for United States results).
scope	string	Yes	`base_domain`	Scope of analysis: base_domain (aggregate by registrable domain, includes all subdomains), domain (exact host only, no subdomain aggregation), url (exact URL including path and query)

Request example

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curl --location 'https://api.seranking.com/v1/ai-search/discover-brand?target=microsoft.com&scope=domain&source=us' \

--header 'Authorization: Token YOUR_API_KEY'

Response parameters

If successful, the server returns a JSON object containing an array of discovered brand names.

Parameter	Type	Description
brands	array	An array of strings, each a potential brand name.

Response example

A successful request returns a JSON object with an array of brand names associated with the target.

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{

    "brands": [

        "Microsoft"

    ]

}

Get prompts by target

GET https://api.seranking.com/v1/ai-search/prompts-by-target

Cost: 200 credits per returned prompt

Retrieve a paginated list of prompts where the specified domain, subdomain, or URL appears in LLM results.

Request parameters

Parameter	Type	Required	Default	Description
engine	string	Yes	n/a	The LLM to query (e.g., `ai-overview`, `chatgpt`, `perplexity`, `gemini`, `ai-mode`).
target	string	Yes	n/a	The target to analyze for LLM performance. Can be a root domain, subdomain, or a specific URL.
source	string	Yes	n/a	Alpha-2 country code for the regional prompt database (e.g., `us` for United States results).
scope	string	Yes	`base_domain`	Scope of analysis: base_domain (aggregate by registrable domain, includes all subdomains), domain (exact host only, no subdomain aggregation), url (exact URL including path and query)
sort	string	No	`volume`	The field to sort the results by. Options: volume, type, snippet_length.
sort_order	string	No	`desc`	The order of sorting (asc or desc).
limit	integer	No	`100`	The maximum number of prompts to return per page (max 1000).
offset	integer	No	`0`	The starting position for the paginated list.
filter	object	No	n/a	An object for filtering results. See the Filtering Results section for details.

Request example

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curl --location --globoff 'https://api.seranking.com/v1/ai-search/prompts-by-target?target=seranking.com&scope=domain&source=us&engine=ai-mode&limit=1' \

--header 'Authorization: Token YOUR_API_KEY'

Response parameters

If successful, the server returns a JSON object containing the unique ID for the newly created audit.

Parameter	Type	Description
total	integer	The total number of prompts found for the target.
date	string	The date of the data snapshot (YYYY-MM-DD).
prompts	array	An array of objects, each representing a found prompt.

`prompts` array object structure

Each object in the prompts array has the following structure:

Parameter	Type	Description
prompt	string	The user query or prompt text that triggered the LLM response.
volume	integer	The estimated monthly search volume for the prompt.
type	string	The type of appearance for the target in the LLM result (e.g., “Link”, “Brand”).
answer	object	An object containing the detailed response from the LLM.

`answer` object structure

The answer object contains the following fields:

Parameter	Type	Description
text	string	The full text of the snippet generated by the LLM.
links	array	An array of URL strings that were included as links within the LLM’s answer.

Response example

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{

    "total": 5448,

    "date": "2025-09-01",

    "prompts": [

        {

            "prompt": "peliculas en netflix",

            "volume": 14800,

            "type": "Link",

            "answer": {

                "text": "Hay una gran variedad de peliculas disponibles en Netflix...",

                "links": [ "[https://movies.sitioficial.netflix.com/browse/genre/34399](https://movies.sitioficial.netflix.com/browse/genre/34399)" ]

            }

        }

    ]

}

Get prompts by brand

GET https://api.seranking.com/v1/ai-search/prompts-by-brand

Cost: 200 credits per returned prompt

Retrieve a paginated list of prompts where the specified brand name is mentioned in LLM results.

Request parameters

Parameter	Type	Required	Default	Description
engine	string	Yes	n/a	The LLM to query (e.g., `ai-overview`, `chatgpt`, `perplexity`, `gemini`, `ai-mode`).
brand	string	Yes	n/a	The brand name to search for in LLM snippets.
source	string	Yes	n/a	Alpha-2 country code for the regional prompt database (e.g., `us` for United States results).
sort	string	No	`volume`	The field to sort the results by. Options: volume, type, snippet_length.
sort_order	string	No	`desc`	The order of sorting (asc or desc).
limit	integer	No	`100`	The maximum number of prompts to return per page (max 1000).
offset	integer	No	`0`	The starting position for the paginated list.
filter	object	No	n/a	An object for filtering results. See the Filtering Results section for details.

Request example

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curl --location 'https://api.seranking.com/v1/ai-search/prompts-by-brand?brand=Netflix&source=us&engine=perplexity&sort=volume&sort_order=desc&offset=0&limit=10' \

--header 'Authorization: Token YOUR_API_KEY'

Response parameters

Parameter	Type	Description
total	integer	The total number of times the brand has been mentioned in the specified LLM for the current month.
date	string	The date of the data snapshot (YYYY-MM-DD).
prompts	array	An array of objects, each representing a found prompt. See the structure below for details.

`prompts` array object structure

Each object in the prompts array has the following structure:

Parameter	Type	Description
prompt	string	The user query or prompt text that triggered the LLM response.
volume	integer	The estimated monthly search volume for the prompt.
type	string	The type of appearance for the target in the LLM result (e.g., “Link”, “Brand”).
answer	object	An object containing the detailed response from the LLM.

`answer` object structure

The answer object contains the following fields:

Parameter	Type	Description
text	string	The full text of the snippet generated by the LLM.
links	array	An array of URL strings that were included as links within the LLM’s answer.

Response example

A successful request returns a JSON object containing a list of prompts that mention the specified brand.

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{

    "total": 5448,

    "date": "2025-09-01",

    "prompts": [

        {

            "prompt": "peliculas en netflix",

            "volume": 14800,

            "type": "Link",

            "answer": {

                "text": "Hay una gran variedad de peliculas disponibles en Netflix...",

                "links": [ "[https://movies.sitioficial.netflix.com/browse/genre/34399](https://movies.sitioficial.netflix.com/browse/genre/34399)" ]

            }

        }

    ]

}

Filtering results

The Get Prompts by Target and Get Prompts by Brand endpoints support advanced filtering to refine your search results. The filter parameter is passed as an object in the query string.

Range filters (`volume`, `keyword_count`, `characters_count`)

These filters allow you to specify a numeric range for your results. Both from and to values are inclusive. You can use one or both to define the range.

To get values greater than or equal to a number: Use filter[<parameter>][from]=<value>.
- Example: filter[volume][from]=100 returns prompts with a search volume of 100 or more.
To get values less than or equal to a number: Use filter[<parameter>][to]=<value>.
- Example: filter[keyword_count][to]=5 returns prompts with 5 or fewer words.
To get values within a specific range: Use both from and to.
- Example: filter[characters_count][from]=10&filter[characters_count][to]=50 returns prompts that are between 10 and 50 characters long.

Text search filters (`multi_keyword_included`, `multi_keyword_excluded`)

These filters allow you to include or exclude specific keywords from the prompt text.

multi_keyword_included: A URL-encoded JSON string specifying keywords that must be present in the prompt.
multi_keyword_excluded: A URL-encoded JSON string specifying keywords that must not be present in the prompt.

For details on how to structure the JSON for these filters, please refer to the Text search JSON structure documentation.

AI Search

You are reading the Data API docs

Overview

Request parameters

Request example

Response parameters

Response example

Discover brand by URL

Request parameters

Request example

Response parameters

Response example

Get prompts by target

Request parameters

Request example

Response parameters

prompts array object structure

answer object structure

Response example

Get prompts by brand

Request parameters

Request example

Response parameters

prompts array object structure

answer object structure

Response example

Filtering results

Range filters (volume, keyword_count, characters_count)

Text search filters (multi_keyword_included, multi_keyword_excluded)

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`prompts` array object structure

`answer` object structure

`prompts` array object structure

`answer` object structure

Range filters (`volume`, `keyword_count`, `characters_count`)

Text search filters (`multi_keyword_included`, `multi_keyword_excluded`)