Build List

作者 Zoominfod07402feb2b9无许可证收录于 2026年10月8日更新于 2026年10月8日

Build a list of contacts or companies matching specific criteria. Describe what you're looking for in natural language and get a structured, tabular list you can export. Supports filtering by title, seniority, department, industry, company size, location, tech stack, growth rate, and more. Outputs a clean table artifact.

AI 生成的概览

根据自然语言条件从 ZoomInfo 构建目标联系人名单或公司名单,并输出结构化表格。

功能
将用户对目标联系人或公司的自然语言描述解析为结构化筛选条件,通过查询解析筛选值,并执行联系人搜索或公司搜索。它可以对排名靠前的结果进行补充,填充邮箱、电话等详细信息,然后生成干净的 Markdown 或 CSV 表格产物。输出内容包括已应用的搜索条件、名单、摘要以及优化建议。
适用场景
当你需要按职位、资历、部门、行业、公司规模、地点、技术栈或增长率等条件生成潜在客户名单或目标公司名单时使用。它适用于销售拓客、招聘和市场调研等需要可导出联系人表格或公司表格的任务。
运行要求
需要访问 ZoomInfo 的搜索、查询解析和补充信息工具。不附带脚本,仅为说明文档。

Build List

Build a targeted list of contacts or companies from ZoomInfo and output as a structured table.

Input

The user will describe what they want via $ARGUMENTS. Examples:

  • "CTOs at Series B+ startups in SF with 50-200 employees"
  • "VP of Sales at healthcare companies using Salesforce with 500+ employees"
  • "All SaaS companies in EMEA with $10M-$50M revenue"
  • "Directors of Engineering at companies similar to Datadog"
  • "Marketing leaders at Fortune 500 companies in financial services"

The user may also specify:

  • How many results they want (default: 25)
  • Whether they want contacts, companies, or both
  • Specific fields to include in the output

Workflow

  1. Determine list type: Is the user asking for contacts, companies, or both? Default to contacts if they mention titles/roles, companies if they mention firmographics only.

  2. Parse criteria from natural language into structured filters:

    • Job titles, management levels, departments, job functions → contact filters
    • Industry, employee count, revenue, geography, tech stack, company type → company filters
    • Growth rate, funding, rankings → company filters
  3. Resolve all filter values using lookup before searching. This is critical — do NOT guess values. For every filter you plan to use, call lookup with the corresponding field name to get the valid values and use the returned id values in your search parameters.

  4. Execute the search:

    • For contacts: Use search_contacts with all resolved filters. Sort by -contactAccuracyScore. Request up to 100 results.
    • For companies: Use search_companies with all resolved filters. Sort by -employeeCount or -revenue. Request up to 100 results.
    • For both: Search companies first, then search contacts at the top results.
  5. Enrich top results if the search returns limited detail:

    • Use enrich_contacts (batch of 10) or enrich_companies (batch of 10) on the top results to fill in emails, phones, and other details.
  6. Output as a clean table artifact. Create a markdown or CSV artifact the user can copy or export.

Output Format

Search Criteria Applied

Show the user exactly what filters were used so they can verify:

FilterValue
Management LevelVice President
IndustryComputer Software
Employee Count51-100, 101-250
Metro RegionSan Francisco-Oakland-Hayward, CA
......

Contact List (if contact search)

#NameTitleCompanyEmailDirect PhoneAccuracyLocation
1
2

Company List (if company search)

#CompanyIndustryEmployeesRevenueHQ LocationWebsiteZoomInfo ID
1
2

List Summary

  • Total results found: X (showing top Y)
  • Filters applied: [summary]
  • Average accuracy score: X (contacts only)
  • Data quality: Flag any concerns (low accuracy, stale records)

Refinement Options

If the list is too broad or too narrow, suggest specific filter adjustments:

  • "Add revenue filter to narrow from 847 to ~200 results"
  • "Remove metro region filter to expand from 12 to ~150 results"
  • "Try adjacent industries: Information Technology Services, Internet"

If the user wants to iterate, they can re-run with adjusted criteria. Suggest the exact modified command.

来源与署名

来源:Zoominfo/zoominfo-mcp-plugin位于skills/build-list提交d07402f

许可证: 无许可证

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