Common Room
Embed complete buyer intelligence directly within Codex.
- Category
- Sales & CRM
- Primary Subcategory
- Pending
Integration details
Description
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 [email protected] 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?"
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Common Room
- Access
- Unknown
- First tracked
- 2026-06-19
- Tool count
- 0
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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What discovery looks like

Competitive lineup
0 tools agents can invoke
No tools are exposed by this ChatGPT Plugin in the latest snapshot.
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.