# LLM mentions multi target metrics Live LLM Mentions Multi-Target Metrics endpoint provides aggregated metrics grouped by custom keys for mentions of the keywords or domains specified. Needs targets. Served by DataForSEO. Live LLM Mentions Multi-Target Metrics endpoint provides aggregated metrics grouped by custom keys for mentions of the keywords or domains specified in the target array of the request. Each item in the results array corresponds to the specified target. The results are specific to the selected platform (google for Google’s AI Overview or chat_gpt for ChatGPT), location and language parameters (see the List of Locations & Languages). - Tool ID: `dataforseo/ai-optimization-llm-mentions-multi-target-metrics` - Name in the catalog: Ai Visibility Llm Mentions Multi Target Metrics - Provider: [DataForSEO](/providers/dataforseo.md) - Capability: [LLM brand mentions](/tools/ai-visibility/llm-mentions.md) - Price: usage based, the maximum is shown before a run - Authentication: an authorised Agentik workspace is required for execution, including zero-price tools. ## Pricing contract Billed at the cost the provider reports for the call, never above $100. Your agent sees the maximum before running. ```json { "model": "reported", "costPath": "cost", "maxUsdDefault": 0.1, "maxUsdCap": 100, "multipliers": [ { "addUsdPer": { "field": "limit", "usd": 0.001, "default": 10, "max": 1000, "timesField": "targets", "timesDefault": 10, "timesMax": 10 } } ], "requireCost": true } ``` Pricing source: [https://docs.dataforseo.com/v3/appendix/user_data/](https://docs.dataforseo.com/v3/appendix/user_data/). Account tariff ai_optimization/llm_mentions/multi_target_metrics/live; bounds applied to inputs; actual cost from provider response.. Price verification date: 2026-10-10. ## Complete input schema ```json { "type": "object", "properties": { "targets": { "type": "array", "items": { "type": "object", "properties": { "target": { "type": "array", "items": { "type": "object", "properties": { "domain": { "type": "string", "minLength": 1, "maxLength": 63, "description": "Domain without https:// or www. (exclusive with keyword)." }, "keyword": { "type": "string", "minLength": 1, "maxLength": 250, "description": "Keyword (exclusive with domain)." }, "search_scope": { "type": "array", "items": { "enum": [ "any", "question", "answer", "brand_entities", "fan_out_queries", "sources", "search_results" ] }, "minItems": 1, "maxItems": 7, "uniqueItems": true, "description": "domain: any, sources, search_results; keyword: any, question, answer, brand_entities, fan_out_queries." }, "search_filter": { "enum": [ "include", "exclude" ] }, "include_subdomains": { "type": "boolean", "description": "Domain entities only." }, "match_type": { "enum": [ "word_match", "partial_match" ], "description": "Keyword entities only." } }, "oneOf": [ { "required": [ "domain" ], "not": { "anyOf": [ { "required": [ "keyword" ] }, { "required": [ "match_type" ] } ] }, "properties": { "search_scope": { "type": "array", "items": { "enum": [ "any", "sources", "search_results" ] }, "minItems": 1, "maxItems": 3, "uniqueItems": true } } }, { "required": [ "keyword" ], "not": { "anyOf": [ { "required": [ "domain" ] }, { "required": [ "include_subdomains" ] } ] }, "properties": { "search_scope": { "type": "array", "items": { "enum": [ "any", "question", "answer", "brand_entities", "fan_out_queries" ] }, "minItems": 1, "maxItems": 5, "uniqueItems": true } } } ], "additionalProperties": false }, "maxItems": 10, "minItems": 1, "contains": { "not": { "required": [ "search_filter" ], "properties": { "search_filter": { "const": "exclude" } } } } }, "key": { "type": "string", "description": "key for grouping the results required field groups results for comparison and serves as a label for the group; you can specify up to 250 characters in the key field", "maxLength": 250, "minLength": 1 } }, "required": [ "key", "target" ], "additionalProperties": false }, "maxItems": 10, "minItems": 2 }, "location_name": { "type": "string", "description": "full name of search location optional field if you use this field, you don't need to specify location_code if you don't specify this field, the location_code with 2840 value will be used by default; you can receive the list of available loc", "maxLength": 2000, "minLength": 1 }, "location_code": { "type": "integer", "description": "search location code optional field if you use this field, you don't need to specify location_name you can receive the list of available locations of the search engine with their location_code by making a separate request to the https://api" }, "language_name": { "type": "string", "description": "full name of search language optional field if you use this field, you don't need to specify language_code; if you don't specify this field, the language_code with en value will be used by default; you can receive the list of available lang", "maxLength": 2000, "minLength": 1 }, "language_code": { "type": "string", "description": "search language code optional field if you use this field, you don't need to specify language_name; you can receive the list of available languages of the search engine with their language_code by making a separate request to the https://ap", "maxLength": 10, "minLength": 1 }, "platform": { "type": "string", "description": "target platform optional field possible values: chat_gpt, google default value: google Note: if the platform is not specified, the data is returned for both platforms Note #2:chat_gpt data is available for the United States and English only", "maxLength": 2000, "minLength": 1 }, "filters": { "type": "array", "description": "array of results filtering parameters optional field 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: =, <>, in, not_in, like, no", "items": {}, "maxItems": 15, "minItems": 1 }, "initial_dataset_filters": { "type": "array", "description": "array of filter expressions applied before aggregation optional field you can use this array to filter expressions applied to the raw mentions database before aggregation to limit the rows contributing to the result;you can add several filt", "items": {}, "maxItems": 15, "minItems": 1 }, "order_by": { "type": "array", "description": "results sorting rules optional field you can use the same values as in the filters array to sort the results possible sorting types: asc - results will be sorted in the ascending order desc - results will be sorted in the descending order y", "items": { "type": "string", "maxLength": 2000, "minLength": 1 }, "maxItems": 3, "minItems": 1 }, "limit": { "type": "integer", "description": "the maximum number of returned objects optional fielddefault value: 100 maximum value: 1000", "maximum": 100, "minimum": 1, "default": 10 }, "offset": { "type": "integer", "description": "offset in the results array of the returned mentions data optional fielddefault value: 0 example: if you specify the 10 value, the first ten mentions objects in the results array will be omitted and the data will be provided for the success", "minimum": 0 }, "internal_list_limit": { "type": "integer", "description": "maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: sources_domain search_results_domain minimum value: 1 maximum value: 10 default value: 5", "minimum": 1, "maximum": 10, "default": 10 }, "tag": { "type": "string", "description": "user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response", "maxLength": 255 } }, "additionalProperties": false, "required": [ "targets" ] } ``` ## Published example This is the provider tool’s published example. Replace example values with the user’s requested inputs, respecting the schema; do not execute an example merely to test a connection. ```json { "tool_id": "dataforseo/ai-optimization-llm-mentions-multi-target-metrics", "input": { "language_code": "en", "location_code": 2840, "platform": "google", "targets": [ { "key": "chat_gpt", "target": [ { "keyword": "chat gpt" } ] }, { "key": "claude", "target": [ { "keyword": "claude" } ] } ], "limit": 2, "internal_list_limit": 5 } } ``` ## Execute and retrieve Inspect again before execution, explain the price and obtain the required authority. Use MCP run_tool or POST /v1/run with this tool ID, valid input and an idempotency key. Save the returned run ID and follow the actual state. If Agentik answers that the tool is temporarily unavailable, do not retry it blindly; use discovery to propose an alternative. A partial or uncertain result can still have consumed provider resources. Consult [billing](/docs/billing.md), [idempotency](/docs/idempotency.md) and [asynchronous results](/docs/async.md). [Provider documentation](https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live/) [REST inspection](https://api.agentik.cc/v1/tools/dataforseo/ai-optimization-llm-mentions-multi-target-metrics) · [OpenAPI](/openapi.json) · [Connection guide](/connect.md) --- [HTML page](/providers/dataforseo/ai-optimization-llm-mentions-multi-target-metrics) · [Agent index](/llms.txt)