ai_optimization_llm_mentions_cross_aggregated_metrics
Aggregate and analyze LLM mentions across domains or keywords to track AI optimization metrics and performance insights.
Instructions
This endpoint provides aggregated metrics grouped by custom keys for mentions of the keywords or domains specified in the target array of the request
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| targets | Yes | array of objects containing target entities with aggregation keys. you can specify up to 10, but not less than 2 | |
| 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 | |
| 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 | |
| internal_list_limit | No | Internal parameter to limit the number of items processed. Not exposed to end-users. |