Find Similar

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

Find companies or contacts similar to a given reference. Provide a company name/domain or a person's name/email and get a ranked list of lookalikes scored by similarity. Useful for territory expansion, TAM analysis, competitive mapping, expanding buyer networks, and building targeted prospecting lists.

仅含说明Marketing & Sales
AI 生成的概览

使用 ZoomInfo 相似度模型查找与参考实体相似的公司或联系人。

功能
该技能引导代理执行 ZoomInfo 相似对象搜索:根据公司名称、域名或 ID,或个人的姓名、邮箱或 ID,解析参考实体并返回按相似度评分排序的相似公司或联系人列表。结果以表格呈现,包含行业、员工数、营收、职位、部门和管理层级等属性,并附有模式分析和后续建议。它仅为指令,不生成文件。
适用场景
适用于区域拓展、TAM 分析、竞争格局梳理、扩展买家网络,或基于已知公司或联系人构建定向潜在客户名单。
运行要求
需要访问 ZoomInfo MCP 工具,包括 lookup、find_similar_companies、find_similar_contacts、enrich_contacts、search_contacts 和 search_companies,以及所需的 ZoomInfo 凭据和网络访问。不附带脚本。

Find Similar

Find companies or contacts similar to a reference entity using ZoomInfo's ML-powered similarity model.

Input

The user will provide via $ARGUMENTS:

  • For companies: a company name, domain, or ZoomInfo company ID
  • For contacts: a person's name and company (e.g., "Jane Smith at Acme Corp"), email address, or ZoomInfo person ID
    • Optionally: a target company to scope results to (e.g., "at Microsoft" or "within Salesforce")
    • Optionally: how many results they want (defaults to 25, max 100)

Determine whether the user is looking for similar companies or contacts based on what they provide, then follow the appropriate workflow below.


Company Workflow

  1. Lookup metadata first — before calling any other MCP tool, use lookup to load reference data for any fields relevant to the request. Use the returned id values (not display names) in all subsequent API calls.

  2. Find similar companies using find_similar_companies. This returns up to 100 results ranked by similarity score.

    • If you have a ZoomInfo company ID, pass companyId.
    • If you only have a company name, pass companyName — the API can resolve it directly.

Company Output Format

Similar companies to [Reference Company Name]:

RankCompanyIndustryEmployeesRevenueCountrySimilarity Score
1
2
...

Show the top 25 by default. If the user asks for more, show up to 100.

After the table:

  • Note the total number of similar companies returned
  • Call out any patterns (e.g., "heavily weighted toward mid-market SaaS in North America")
  • Suggest next steps: use /zoominfo:enrich-company to get full details on any result, or /zoominfo:find-buyers to identify contacts at a target

Contact Workflow

  1. Lookup metadata first — before calling any other MCP tool, use lookup to load reference data for fields relevant to interpreting the results:

    • lookup with fields: [{"fieldName": "management-levels"}, {"fieldName": "departments"}, {"fieldName": "job-functions"}]
    • Use the returned id values (not display names) in all subsequent API calls and for categorizing results.
  2. Resolve the reference person if the user did not provide a ZoomInfo person ID:

    • If the user gave an email → use enrich_contacts with email to get the person's ZoomInfo person ID.
    • If the user gave a name and company → use enrich_contacts with firstName, lastName, and companyName to get the person's ZoomInfo person ID.
    • If enrichment fails, fall back to search_contacts with fullName and companyName to find a match.
    • Extract the ZoomInfo person ID from the result.
  3. Resolve the target company if the user specified one:

    • Use search_companies with companyName or companyWebsite to get the ZoomInfo company ID — use lookup id values for any filters.
  4. Find similar contacts using find_similar_contacts with:

    • referencePersonId: the resolved ZoomInfo person ID (required)
    • targetCompanyId: the resolved ZoomInfo company ID (only if the user specified a target company)
    • pageSize: user-specified count or 25

Contact Output Format

Reference Person

[Full Name] — [Title] at [Company] Brief profile summary: department, management level, job function. This anchors the similarity analysis.

Similar Contacts
RankNameTitleCompanyDepartmentManagement LevelScore
1
2
...

Show the top 25 by default. If the user asks for more, show up to 100.

For each contact, use the meta field from the response to explain WHY they are a match. The meta describes the reference person used to form the similarity — use this to connect the recommendation back to the reference person's attributes.

Pattern Analysis
  • By Title/Function: What roles dominate the results? (e.g., "Heavily weighted toward revenue operations and sales leadership")
  • By Seniority: What management levels appear most? Use the lookup values to categorize accurately.
  • By Company Profile: What types of companies do these contacts work at? (e.g., "Mostly mid-market SaaS, 200-1000 employees")
  • If scoped to a target company: Note which departments and levels within that company have the strongest matches.

After the table:

  • Note the total number of similar contacts returned
  • Call out any patterns in the results
  • Suggest next steps: use /zoominfo:enrich-contact to get full details on any result, or /zoominfo:find-buyers to identify other contacts at a specific company from the list

来源与署名

来源:Zoominfo/zoominfo-mcp-plugin位于skills/find-similar提交d07402f

许可证: 无许可证

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