AI is rapidly reshaping how GTM teams operate.
Reps are researching accounts in Claude. Drafting outreach in Claude. Preparing for calls in Claude.
The promise is powerful: GTM teams operating with intelligent, unified context.
Claude provides an incredibly powerful interface for reasoning, drafting, and analysis. But like any AI system, the quality of its output depends on the quality and completeness of the context it can access.
In many GTM environments, buyer signals live across CRM systems, enrichment vendors, product telemetry, call intelligence, and intent platforms.
When that context is fragmented, teams face a choice: manually stitch systems together to power richer AI experiences, or operate on partial buyer truth that can degrade adoption and customer experience.
Enterprise GTM is complex. AI performs best when it is grounded in unified, trusted data.
This is where Common Room and Claude come together.
By combining Claude’s powerful AI interface with unified, trusted buyer intelligence from Common Room, GTM teams move from experimentation to precision.
Today, as part of Antrhopic's broader Cowork and plugin announcement, Common Room is introducing both an MCP Connector and a Claude Plugin.
Two levels of activation. One intelligence layer.
Intelligence at the infrastructure layer
Our enterprise ready MCP Connector securely embeds Common Room into Claude using SSO and SAML authentication.
With the Connector, RevOps teams and power users can use Claude to reference unified buyer intelligence grounded in:
- First, second, and third party signals
- AI powered identity resolution across buyers and accounts
- CRM, enrichment, product, and engagement data
- Continuously updated account and contact context
Instead of wiring multiple systems independently into AI workflows, Common Room provides a unified intelligence layer.
Intelligence activated via Claude workflows
Our Claude Plugin brings optimized GTM skills directly into Claude Cowork.
Purpose-built for Sales, the plugin enables teams to:
- Research prioritized accounts grounded in real expansion and intent signals
- Draft outreach based on complete buyer engagement context
- Surface risk and opportunity signals across their book of business
- … and so many other workflows important to sales team that can be run with precision directly in Claude Cowork
This is not generic AI generation. It is signal powered execution grounded in complete buyer context.
AI should expand leverage across a team, not concentrate it in a new specialist function.
The goal is not more configuration. It means fewer steps between signal and action.
By embedding complete buyer intelligence into Claude at both the infrastructure and workflow layers, Common Room ensures AI workflows are grounded in real context, real prioritization, and real revenue opportunity.
Claude becomes the interface. Common Room powers the intelligence behind it. This is the next step in making buyer intelligence portable wherever AI operates.
Built for Claude. Powered by complete buyer intelligence.