Buyer Enablement

What is an Intelligent Go-to-Market Layer? How modern revenue teams enable, collaborate, and grow

An intelligent go-to-market layer connects enablement, intelligence, and collaboration to help revenue teams act on buyer insights in real time and drive predictable growth.

Amy Davis
January 1, 2026
January 9, 2026
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An intelligent go-to-market layer connects enablement, intelligence, and collaboration to help revenue teams act on buyer insights in real time and drive predictable growth.
Amy Davis
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Key takeaways

  • Modern revenue teams need more than disconnected tools and point solutions
  • An intelligent go-to-market layer connects enablement, intelligence, and collaboration
  • Buyer engagement data should inform execution in real time
  • Revenue teams perform best when collaboration and intelligence are embedded into daily workflows

Why go-to-market teams need a new layer

Go-to-market teams are under growing pressure. Buyers are more independent, sales cycles are longer, and deals involve more stakeholders than ever before.

This is especially true in B2B sales, where revenue teams rely on multiple tools to manage outreach, enablement, forecasting, and handovers.

At the same time, teams operate across fragmented systems. Enablement content lives in one place. Buyer engagement data lives in another. Collaboration happens across inboxes, Slack threads, and shared documents.

This fragmentation creates lost context, slower execution, and weaker buyer experiences.

Adding more tools does not solve this problem. What teams need is a layer that connects how they enable buyers, collaborate across teams, and act on intelligence together.

What is an intelligent go-to-market layer?

An intelligent go-to-market layer sits across your revenue stack and connects people, systems, and buyer activity.

Rather than replacing your CRM or sales tools, it weaves into them. It becomes the connective tissue between buyer enablement, revenue intelligence, and collaboration.

This layer helps revenue teams:

  • Enable buyers with relevant, contextual experiences
  • Surface real-time intelligence from buyer engagement
  • Collaborate across sales, marketing, customer success, and buyers

This represents a shift from static sales execution to adaptive, insight-led revenue motion.

Pillar one: enablement that moves buyers forward

Traditional enablement focuses on arming sellers with content. Intelligent enablement focuses on enabling buyers to make confident decisions.

An intelligent GTM layer creates shared buyer experiences where:

  • Content is centralised and contextual
  • Next steps are clear and visible
  • Buyers can engage asynchronously and on their own timeline

This approach aligns closely with modern buyer enablement strategies, where the goal is to remove friction from the buying journey.

This is where Digital Sales Rooms play a critical role. Not as a standalone destination, but as part of a broader enablement layer that supports the full buying journey.

Enablement becomes less about sending assets and more about guiding progress.

Pillar two: intelligence embedded into execution

Most revenue intelligence tools surface insights after the fact. Dashboards are reviewed weekly, forecasts lag reality, and signals arrive too late to act on.

An intelligent go-to-market layer embeds revenue intelligence directly into execution.

Teams gain visibility into:

  • Who is engaging and when
  • What content is influencing decisions
  • Which stakeholders are active or missing
  • Where deals are accelerating or stalling

These insights are powered by Signals and Insights and strengthened by modern sales intelligence frameworks that surface patterns humans miss.

How AI changes forecasting accuracy

Traditional forecasting relies heavily on subjective deal updates. This is one of the biggest reasons forecasts drift away from reality.

An intelligent GTM layer improves forecasting by grounding predictions in buyer behaviour.

By combining buyer engagement data with modern sales forecasting practices, revenue teams move from opinion-based forecasting to evidence-based forecasting.

AI plays a critical role here. Trumpet AI analyses engagement patterns, stakeholder activity, and deal momentum to highlight risk and opportunity earlier in the cycle.

This allows RevOps and sales leaders to forecast with confidence and intervene before deals slip.

AI-powered enablement and execution

AI does not just surface insights. It actively improves how teams execute.

An intelligent GTM layer uses AI to:

  • Identify which content performs best at each stage
  • Recommend next steps based on buyer behaviour
  • Support sellers with real-time guidance

For example, Spark AI helps teams create high-performing, on-brand content faster, while Coach Casey supports sellers by analysing deal activity and suggesting actions that keep momentum high.

Pillar three: collaboration across the full revenue motion

Revenue is no longer owned by a single function. Sales, marketing, customer success, and buyers all shape outcomes together.

An intelligent GTM layer creates shared environments where collaboration is structured and visible:

  • Sellers and buyers align on next steps using Mutual Action Plans
  • Internal teams operate with shared context and buyer insight
  • Sales to customer success handovers happen without losing momentum

This collaboration is strengthened by seamless integrations across the revenue stack.

How this reframes the role of Digital Sales Rooms

This shift changes how Digital Sales Rooms are positioned.

They are no longer just a place to host content. They are one expression of a broader intelligent revenue collaboration layer where enablement, intelligence, and collaboration converge.

For revenue teams, this means:

  • Less friction across tools
  • More clarity across deals
  • Better decisions, faster

The focus moves from managing sales activities to orchestrating the entire go-to-market motion.

Why this matters now

As AI, automation, and data continue to accelerate, revenue teams do not need more noise. They need context.

An intelligent go-to-market layer ensures:

  • Enablement is buyer-led
  • Intelligence is actionable
  • Collaboration is aligned around outcomes

This is how teams move from reactive selling to proactive revenue execution.

How trumpet fits into the intelligent GTM layer

trumpet is built as an intelligent go-to-market layer that sits across your revenue stack.

It enables teams to:

  • Create shared buyer experiences through Digital Sales Rooms
  • Capture and act on real-time buyer engagement and intent signals
  • Collaborate across teams and stakeholders with full context

Rather than replacing existing systems, trumpet connects them into a single operating model.

You can try trumpet for free here.

FAQs

What is an intelligent go-to-market layer?

An intelligent go-to-market layer connects enablement, intelligence, and collaboration across the revenue stack, helping teams act on buyer insights in real time.

How does an intelligent GTM layer improve forecasting?

It grounds forecasts in buyer engagement data and AI-driven insights, reducing reliance on subjective deal updates.

How is this different from a Digital Sales Room?

A Digital Sales Room is one expression of the layer. The intelligent GTM layer connects multiple tools, teams, and insights across the entire revenue motion.

Is AI replacing sellers in modern GTM strategies?

No. AI supports sellers by reducing guesswork and admin, allowing teams to focus on high-value conversations and collaboration.

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