The agentic GTM: AI that performs

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    If you’ve ever watched a deal slip away after weeks of prep, you know the feeling. The team pushed hard, built a smart strategy, and trusted the data. Yet somehow, they couldn’t close the deal.

    This gap between expectation and outcome is one of the toughest challenges for go-to-market teams. Ninety-eight percent of leaders say their strategy is active, but only 10% say it’s working. That’s because teams face too many obstacles to execute effectively.

    Sellers drown in data. Managers chase dashboards. And enablement teams create content that doesn’t reach the right people at the right time.

    Meanwhile, pressure to deliver keeps rising. Traditional AI holds promise, but disconnected tools and clunky processes impede progress.

    Agentic AI can help ease the pressure.

    A smarter kind of AI

    Most sales AI stops at analysis. It tells you what’s happening, but not what to do about it. Agentic AI changes that.

    By reading context across your GTM system, agentic AI plans, decides, and learns in real time. It works quietly in the background to connect data, guide next steps, and keep teams aligned. Think of it as a perceptive coworker who sees the full picture and nudges the team in the right direction.

    Nexus, Highspot’s unified AI and analytics engine, brings this approach to life. It unites data from sellers, buyers, and performance metrics into one intelligent system.

    For example, Highspot’s Deal Agent monitors deal health in real time by drawing from CRM data, meetings, and buyer activity. If a prospect questions pricing, Deal Agent flags the risk and drafts a follow-up email with ROI proof points and supporting content. If a renewal slows down, it recommends ways to re-engage based on similar scenarios.

    Go beyond deals to a connected system

    Deal Agent is part of Highspot’s broader agentic ecosystem that links every part of the go-to-market motion.

    • Search Answers Agent gives sellers instant, trusted responses sourced from approved content. Ask, “What’s our best case study for healthcare CIOs?” and the right deck appears immediately.
    • Content Specialist Agent automates governance, removes outdated assets, assigns new owners, and applies compliance labels automatically.
    • Learning Specialist Agent identifies skill gaps early, assigns personalized learning paths, and tracks progress for continuous coaching.
    • Custom Agents empower teams to create their own role-based assistants by asking questions like, “Which sellers haven’t finished onboarding?” or “Where are deals slowing down by region?”

    The ecosystem expands even further with multi-turn AI coaching, AI Role Play, and auto-generated Digital Rooms. With these tools, your sellers can prepare, practice, and engage buyers with AI tools that work where they do. 

    Proven business outcomes

    Highspot’s agentic system closes the gap between strategy and execution. Companies using it report:

    • +50% efficiency
    • +55% rep confidence
    • +51% buyer engagement

    And teams that embed AI into enablement see win rates climb by more than 20% compared to teams that treat AI as an add-on.

    Ready to see agentic AI in action?

    Turn every signal into measurable results. Explore Highspot’s AI for Sales Guide to learn how agentic AI drives performance across enablement, coaching, and revenue operations.

    Oliver Sharp

    Oliver Sharp is the co-founder of Highspot and Senior Vice President, AI. He is passionate about partnering with customers to solve their growth and enablement challenges. Oliver has co-founded multiple companies, including Colusa, which was acquired by Microsoft, and iTurf, which he helped take public in 1999. Oliver is also the author of the industry’s definitive guide to sales enablement.

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