Common Room|Common Room
官方说明(英文):Embed complete buyer intelligence directly within Codex.
官方原文 | 官方解释
官方说明(英文):Embed complete buyer intelligence directly within Codex.
Embed complete buyer intelligence directly within Codex.
官方说明(英文):Embed complete buyer intelligence directly within Codex. Research accounts and contacts, surface buying signals, and browse activity history - all through natural language. Build prospect lists of net-new companies by industry, size, tech stack, or location. Filter and sort contacts by segment, role, lead score, or website visits. Every result is grounded in real context, real prioritization, and real revenue opportunity directly from your CRM fields, scores, enrichment, and signals - so you always know what's actually happening in your accounts. You can use the Common Room MCP to: Account Research: "Tell me about Datadog and create a plan on how to approach the account" Contact Lookup: "Research jane.doe@company.com using Common Room" Prospect: "Find SaaS companies in the US using Snowflake with 200–1000 employees" Filter by Segment and Role: "Show me all Economic Buyers in my 'Champions changing jobs' segment" Surface High-Intent Contacts: "Find contacts at ICP companies who have visited our pricing page this week" Track Website Visitors: "Who visited our pricing page in the last 7 days?"
Embed complete buyer intelligence directly within Codex. Research accounts and contacts, surface buying signals, and browse activity history - all through natural language. Build prospect lists of net-new companies by industry, size, tech stack, or location. Filter and sort contacts by segment, role, lead score, or website visits. Every result is grounded in real context, real prioritization, and real revenue opportunity directly from your CRM fields, scores, enrichment, and signals - so you always know what's actually happening in your accounts. You can use the Common Room MCP to: Account Research: "Tell me about Datadog and create a plan on how to approach the account" Contact Lookup: "Research jane.doe@company.com using Common Room" Prospect: "Find SaaS companies in the US using Snowflake with 200–1000 employees" Filter by Segment and Role: "Show me all Economic Buyers in my 'Champions changing jobs' segment" Surface High-Intent Contacts: "Find contacts at ICP companies who have visited our pricing page this week" Track Website Visitors: "Who visited our pricing page in the last 7 days?"
它可以做什么
官方说明(英文):Embed complete buyer intelligence directly within Codex. Research accounts and contacts, surface buying signals, and browse activity history - all through natural language. Build prospect lists of net-new companies by industry, size, tech stack, or location. Filter and sort contacts by segment, role, lead score, or website visits. Every result is grounded in real context, real prioritization, and real revenue opportunity directly from your CRM fields, scores, enrichment, and signals - so you always know what's actually happening in your accounts. You can use the Common Room MCP to: Account Research: "Tell me about Datadog and create a plan on how to approach the account" Contact Lookup: "Research jane.doe@company.com using Common Room" Prospect: "Find SaaS companies in the US using Snowflake with 200–1000 employees" Filter by Segment and Role: "Show me all Economic Buyers in my 'Champions changing jobs' segment" Surface High-Intent Contacts: "Find contacts at ICP companies who have visited our pricing page this week" Track Website Visitors: "Who visited our pricing page in the last 7 days?"
新手如何开始
请先确认插件可用性、权限要求与可访问性,再按任务判断是否接入。
来源与覆盖
来源:OpenAI Plugins repository · Common Room
编辑覆盖:verified。官方仓库可见,实际安装/启用及可用性以官方页面与当前服务范围为准。