It’s a simple question, but one most sales leaders can’t answer with confidence. They assume the answer is yes. But they can’t prove it.
Every go-to-market team has added AI somewhere. Email. Content. Forecasting. Coaching. On the surface, it seems like progress. But when you look at how deals actually move, very little has changed.
Here’s the problem most teams avoid saying out loud: AI adoption is high. Impact isn’t.
The GTM Performance Gap report found that while 77% of companies report adopting or planning to adopt AI, just 28% say it’s improving performance.
Teams are creating more content. Surfacing more insights. Doing more things. But more activity isn’t translating into better outcomes.
So what’s missing?
Most teams use AI to do more. The best teams use it to execute better.
More tools don’t solve the real problem
Most GTM systems were fragmented long before AI came along. Content lives in one place. Training in another. Deal data sits in CRM. Conversations are scattered across call and meeting tools.
That alone creates obstacles. Seventy percent of sellers say they feel overwhelmed by the number of tools they’re expected to use. And overwhelmed sellers are 45% less likely to hit quota.
AI just adds another tool to the mix. Your sellers don’t have one place to look. They have several. They don’t get one answer. They get a handful. And when a deal is on the line, they still have to decide what to do next without help.
That’s where your team’s performance breaks down. Some sellers quickly connect the dots. Others hesitate. Some choose the wrong next step without realizing it. The result is stalled deals, uneven performance, and long sales cycles that are hard to control.
What high-performing teams do differently
The teams seeing real impact from AI are changing how sellers move through deals. They’re executing better.
Instead of asking sellers to interpret dashboards, search for content, or choose between multiple recommendations, they create a unified system. This system connects what’s happening in the deal to what a seller should do next. And it all happens in the flow of work.
Imagine a deal is stalling late in the cycle. The buyer went quiet after getting pricing, and your seller isn’t sure if it’s a budget issue, a missing stakeholder, or an unresolved objection.
In most environments, the seller starts searching for answers. They check the CRM for notes. They scroll through past emails. They look for a relevant asset or ask a peer what’s worked before. They might find something useful, or they might not. Either way, they’re forced to piece together the next step on their own.
In environments with a more connected system, the experience is different. The seller opens the deal and sees a clear insight: similar deals at this stage often stall when a key stakeholder isn’t engaged. The system recommends a specific next step—bring in an executive sponsor—and recommends the exact message and asset that have worked in deals like this before. Instead of guessing, your seller knows what to do next and acts on it.
This is what a unified GTM platform makes possible. It connects content, training, deal signals, and buyer engagement in one place so sellers can act without jumping between tools.
Better execution is the real test of AI
If AI disappeared tomorrow, most teams would feel it. But their results wouldn’t change dramatically. That’s because too much still depends on individual sellers. Some know what to do. Others figure it out as they go. Team performance is unpredictable and uneven.
The teams seeing real impact have already changed that. They’ve built AI into how sellers run deals in every step and every interaction. These sellers don’t just get insights. They know what to do next, and they can act on it in key moments.
That’s the difference between adding AI and actually changing how deals move.
If you want a clearer view of the execution gap and how to close it, the GTM Performance Gap report shows exactly where deals lose momentum and how top teams keep them moving.
