AI-Informed B2B Buyers:How Sales Reps Add Value

Your buyer shows up to the first call with a point of view. Not a question. A point of view.

They ran your business through an AI model. They read your site, your competitor's site, and four reviews you've never seen. And they arrived at a conclusion about what they need.

Forrester's 2025 Buyers' Journey Survey found that 94% of business buyers used AI in their buying process. Twice as many named AI or conversational search as a more meaningful source of information than anything else. Ahead of vendor websites, product experts, and sales.

Read that second part again. Your rep is now behind a chatbot on that list.

That was 2025. How much more do they rely on AI now?

Why Doesn't Repeating the Product Pitch Help an Informed Buyer?

Repeating a product pitch adds limited value when the buyer has already researched the same information. A useful sales conversation establishes what the buyer concluded and how the conclusion applies to their company. More product detail does not automatically address the assumptions behind the intended purchase.

So what does a rep do when the buyer already knows the pitch?

Most of them give the pitch anyway. Just faster.

Everything the product does. Why they should find value in it. And then they hope (yes, hope) the customer gets it.

Hope was never a strategy. And it's worse now because the information isn't scarce anymore.

How many of your reps told a buyer last week something that they likely already looked up?

What Can AI Buyer Research Miss About a Company?

AI buyer research may describe a product category without establishing the company's internal history, constraints, or definition of success. The missing context can change whether a generally suitable solution will work in a particular situation. Reps need to learn that context from the customer instead of assuming it.

TrustRadius’s 2026 buyer research found that buyers who used AI also checked its answers. An informed buyer can still benefit from a conversation that tests how a conclusion applies to their company.

Here's what the model couldn't tell them.

It knows your category. It doesn't know their company. And it has no idea what happened the last time they tried this.

So your buyer arrives with a conclusion that's mostly right, but wrong in key ways. And they don't know which part is which.

Value is really defined by the customer, not us. Not the marketing slicks. They buy based on what they believe they can accomplish at their company.

No model knows that. You have to ask.

What Happens When Buying Assumptions Go Untested?

Untested buying assumptions can leave both the customer and the vendor unclear about what the purchase was supposed to achieve. Later, usage data alone may not explain whether the intended business result occurred. Discovery should make the customer's expected outcome and reasoning explicit before the decision is made.

And what happens if your rep doesn't find it?

The customer likely ends up making a buying decision on the conclusion they walked in with. As a result, the odds increase that it doesn't do what they thought it would. And nobody goes back to the underlying assumptions, because the rep never learned them.

Fast forward to renewal time, and nobody can say whether it worked. You're both staring at usage numbers. Neither of you can point to what they bought it for. It was never written down.

Or - the deal just dies, and it gets written up as price.

How Can Reps Explore a Buyer's Assumptions Without Arguing?

Reps can explore a buyer's assumptions by asking the customer to explain how the proposed approach would work in their environment. The purpose is to understand and test the reasoning together. Starting with the customer's thinking creates room for correction without presuming that the initial conclusion is wrong.

So start with learning about the customer. What assumptions have they made without even realizing it?

And when you hear it, don't correct it. Ask them how that would actually work in their environment.

They'll start working on it with you. And now you're in a conversation nobody else on their shortlist is having.

Reps don't do this, and I get why. It feels like telling a customer they're wrong.

It isn't. You're asking somebody to walk you through their own thinking. Most people like doing that.

That's a call worth their time.

How Should Leaders Balance Sales Technology and Conversation Skills?

Leaders should examine both the money and the time devoted to sales technology and conversation skills. The relevant question is what each investment helps people do better for customers. Faster research and administration create capacity, but leaders still need to decide how that capacity improves the customer conversation.

Microsoft’s September 2026 account of its own AI transformation emphasizes meaningful outcomes rather than adoption alone. Apply that same test to your sales stack: what is getting better for the customer?

Here's the part for whoever runs a team.

Pull up what you spent on your tech stack this year. Research tools, conversation intelligence, automated prep, everything.

Then pull up what you spent making your people better at the conversation itself.

When did you last put those two numbers side by side?

I'm not going to tell you what the ratio should be. But oftentimes nobody has looked at all, and the second number is whatever's left over.

And it isn't only money. Count the hours the same way. The ones that go into keeping the stack fed, against the ones that go into somebody getting better at asking a question.

For each tool on the list, ask yourself: does this make the person better, or just faster?

You can buy faster. You can't buy better. Better only comes from your people.

Ira Bernstein is the founder of Rampt Consulting and master facilitator of the Selling Through Curiosity sales methodology.