ai_optimization_llm_mentions_top_domains
Analyze which domains are most frequently mentioned alongside LLM discussions to identify content opportunities and competitive insights for SEO optimization.
Instructions
This endpoint provides aggregated LLM mentions metrics grouped by the most frequently mentioned domains for the specified target
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| target | Yes | Array of target objects to search for LLM mentions. Each object must contain either 'domain' or 'keyword'. Maximum number of targets: 1000 | |
| location_name | No | full name of the location, example: 'United Kingdom', 'United States' | |
| language_code | No | Search engine language code (e.g., 'en') | |
| platform | No | Platform to search for LLM mentions | |
| links_scope | No | specifies which links will be used to extract domains and aggregation | |
| initial_dataset_filters | No | you can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: regex, not_regex, <, <=, >, >=, =, <>, in, not_in, match, not_match, ilike, not_ilike, like, not_like you can use the % operator with like and not_like, as well as ilike and not_ilike to match any string of zero or more characters merge operator must be a string and connect two other arrays, availible values: or, and. example: ["ai_search_volume",">","1000"] The full list of possible filters is available in 'ai_optimization_llm_mentions_filters' tool | |
| items_list_limit | No | maximum number of results in the items array, min value is 1, max value is 10 | |
| internal_list_limit | No | maximum number of elements within internal arrays, min value is 1, max value is 10 |