Build List

作者 Zoominfod07402feb2b9無授權條款收錄於 2026年10月8日更新於 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 產生的概覽

根據自然語言條件從 ZoomInfo 建立目標聯絡人名單或公司名單,並輸出結構化表格。

功能
將使用者對目標聯絡人或公司的自然語言描述解析為結構化篩選條件,透過查詢解析篩選值,並執行聯絡人搜尋或公司搜尋。它可以對排名前面的結果進行補充,填入電子郵件、電話等詳細資訊,然後產生乾淨的 Markdown 或 CSV 表格產出。輸出內容包括已套用的搜尋條件、名單、摘要以及優化建議。
適用情境
當你需要依職稱、資歷、部門、產業、公司規模、地點、技術堆疊或成長率等條件產生潛在客戶名單或目標公司名單時使用。它適合銷售開發、招募和市場研究等需要可匯出聯絡人表格或公司表格的任務。
執行需求
需要存取 ZoomInfo 的搜尋、查詢解析和補充資訊工具。不附帶指令碼,僅為說明文件。

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.

來源與署名

來源:Zoominfo/zoominfo-mcp-plugin位於skills/build-list提交d07402f

授權條款: 無授權條款

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