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ravinwebsurgeon

DataForSEO MCP Server

content_analysis_phrase_trends

Analyze keyword citation trends over time to identify content performance. Track target phrases in specific fields like titles and snippets, filter by page type, and date range for actionable SEO insights.

Instructions

This endpoint will provide you with data on all citations of the target keyword for the indicated date range

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_fromYesstarting date of the time range date format: "yyyy-mm-dd"
date_groupNodate grouping typemonth
date_toNoending date of the time range date format: "yyyy-mm-dd"
initial_dataset_filtersNoinitial dataset filtering parameters initial filtering parameters that apply to fields in the Search endpoint; 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, like,not_like, has, has_not, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters; example: ["domain","<>", "logitech.com"] [["domain","<>","logitech.com"],"and",["content_info.connotation_types.negative",">",1000]] [["domain","<>","logitech.com"]], "and", [["content_info.connotation_types.negative",">",1000], "or", ["content_info.text_category","has",10994]]
internal_list_limitNomaximum number of elements within internal arrays you can use this field to limit the number of elements within the following arrays
keywordYestarget keyword Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;
keyword_fieldsNotarget keyword fields and target keywords use this parameter to filter the dataset by keywords that certain fields should contain; you can indicate several fields; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: { "snippet": "\"logitech mouse\"", "main_title": "sale" }
page_typeNotarget page types

Implementation Reference

  • The `handle` method executes the tool's core logic: constructs a request payload from input params, sends a POST to DataForSEO's `/v3/content_analysis/phrase_trends/live` endpoint, validates/formats the response, or handles errors.
    async handle(params: any): Promise<any> { try { const response = await this.dataForSEOClient.makeRequest('/v3/content_analysis/phrase_trends/live', 'POST', [{ keyword: params.keyword, keyword_fields: params.keyword_fields, page_type: params.page_type, initial_dataset_filters: this.formatFilters(params.initial_dataset_filters), date_from: params.date_from, date_to: params.date_to, date_group: params.date_group, internal_list_limit: params.internal_list_limit }]); return this.validateAndFormatResponse(response); } catch (error) { return this.formatErrorResponse(error); } }
  • Defines the Zod schema for input parameters including keyword, filters, date range, and other options specific to phrase trends analysis.
    getParams(): z.ZodRawShape { return { keyword: z.string().describe(`target keyword Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;`), keyword_fields: z.object({ title: z.string().optional(), main_title: z.string().optional(), previous_title: z.string().optional(), snippet: z.string().optional() }).optional().describe( `target keyword fields and target keywords use this parameter to filter the dataset by keywords that certain fields should contain; you can indicate several fields; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: { "snippet": "\\"logitech mouse\\"", "main_title": "sale" }` ), page_type: z.array(z.enum(['ecommerce','news','blogs', 'message-boards','organization'])).optional().describe(`target page types`), initial_dataset_filters: z.array( z.union([ z.array(z.union([z.string(), z.number(), z.boolean()])).length(3), z.enum(["and", "or"]) ]) ).max(8).optional().describe( `initial dataset filtering parameters initial filtering parameters that apply to fields in the Search endpoint; 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, like,not_like, has, has_not, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters; example: ["domain","<>", "logitech.com"] [["domain","<>","logitech.com"],"and",["content_info.connotation_types.negative",">",1000]] [["domain","<>","logitech.com"]], "and", [["content_info.connotation_types.negative",">",1000], "or", ["content_info.text_category","has",10994]]` ), date_from: z.string().describe(`starting date of the time range date format: "yyyy-mm-dd"`), date_to: z.string().describe(`ending date of the time range date format: "yyyy-mm-dd"`).optional(), date_group: z.enum(['day', 'week', 'month']).default('month').describe(`date grouping type`).optional(), internal_list_limit: z.number().min(1).max(20).default(1) .describe( `maximum number of elements within internal arrays you can use this field to limit the number of elements within the following arrays`) .optional(), }; }
  • Instantiates ContentAnalysisPhraseTrendsTool and registers it in the module's tools map under its getName(), wrapping its methods for description, params, and handler.
    getTools(): Record<string, ToolDefinition> { const tools = [ new ContentAnalysisSearchTool(this.dataForSEOClient), new ContentAnalysisSummaryTool(this.dataForSEOClient), new ContentAnalysisPhraseTrendsTool(this.dataForSEOClient), // Add more tools here ]; return tools.reduce((acc, tool) => ({ ...acc, [tool.getName()]: { description: tool.getDescription(), params: tool.getParams(), handler: (params: any) => tool.handle(params), }, }), {}); }
  • Defines the canonical tool name 'content_analysis_phrase_trends' used for registration.
    getName(): string { return 'content_analysis_phrase_trends'; }

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