Understanding the customer has always been the job. 86 percent of buyers say they prefer a seller who gets their goals. 59 percent say most reps never bother. That gap kills more deals than price ever has.
What changed is the excuse. The tools to know a customer deeply now sit on every desk. By 2027, 95 percent of seller research will start with AI.
The best teams use AI for the homework, then spend the conversation on what a machine cannot do. Hear the person, find the real problem. The result is stronger conversations, higher win rates, and reps worth more, not fewer of them.
For years I have told sales teams the same uncomfortable thing. You do not know your customer well enough. It was never a motivational line. It was a diagnosis, and the data backed it. Buyers have always been able to tell, in about ninety seconds, whether the person across the table actually understands their business or is just running a script with their logo pasted on top.
Today I get to deliver the good news for once. The single hardest part of that diagnosis, the part that used to take real time and discipline, just got dramatically easier. This is the rare post where AI is the hero and nobody loses their job at the end.
The job never changed. The excuse did.
Start with what buyers actually want, because it has been remarkably stable. In Salesforce's research, 86 percent of business buyers say they are more likely to buy from a company that understands their goals. And 59 percent say most sales reps never take the time to understand them. Sit with that second number. Most of the people paid to understand the customer are not, by the customer's own account, doing it.
That gap is the quiet killer. It does not show up as a lost deal labeled "rep did not understand us." It shows up as "we went in another direction," or "the timing was not right," or that most honest of all brush-offs, silence. Price gets the blame. Understanding is usually the actual cause.
None of that is new. What is new is that the reason most reps gave for not doing the homework, that it was slow and hard, no longer holds.
Not knowing your customer is now a choice.
The research that used to eat half a rep's day now takes about ten minutes. Gartner expects that by 2027, 95 percent of seller research will begin with AI, up from under 20 percent in 2024. The account's public moves, its last earnings call, the pressure its industry is under this quarter, the role and likely incentives of the person you are meeting, all of it is one good prompt away.
Which means the old, forgivable version of showing up unprepared is gone. There was a time when walking in having researched almost nothing was understandable, because the information was genuinely hard to assemble. That defense expired. In fairness, your CRM has held most of this for years. Most reps have treated it roughly the way they treat terms and conditions. Present, unread, technically agreed to. The difference now is that AI will actually read it for you and hand back the part that matters.
Showing up to a meeting not knowing your customer's business used to be a constraint. Now it is a decision, and the buyer can feel which one you made.
AI is the intern, not the closer.
Here is where most takes on AI in sales go wrong, in both directions. One camp thinks AI replaces the seller. The other refuses to touch it. The good teams do neither. They treat AI as the world's fastest intern. Tireless, encyclopedic, and with no idea when to stop talking. Brilliant at the knowing. Hopeless at the judgment.
So they hand it the knowing. The research, the synthesis, the recall of every past interaction with the account. And they keep the part the intern cannot do. Sitting with a real person, hearing what is underneath the stated request, and finding the actual problem. This is exactly the split inside the HELP method I teach. AI supercharges Hear and Learn, the phases where you take in the customer's world and recognize the pattern. It cannot do the human judgment of Evidence, or hand the customer ownership in Proceed. Those are still yours, and they are where deals are actually won.
The freed-up time is the whole point. When the homework is done before you walk in, the entire conversation is available for the thing that builds trust, which is genuine understanding made visible. That is also where the quality of the conversation starts to compound, and it is the discipline at the center of the Conversation Intelligence work.
What good teams actually do with it.
The pattern is consistent across the teams doing this well. Before any meeting that matters, AI builds the brief. Who is in the room, what their business is wrestling with, what they have bought and tried before, and the two or three problems they most likely have. The rep reads it, adds the human read the machine cannot make, and walks in with a point of view instead of a list of discovery questions a chatbot could have asked.
Then the conversation does what only a conversation can. It tests the hypothesis. The rep is not there to inform the buyer, the buyer already did that part with AI. The rep is there to understand the buyer better than the buyer expected anyone to, and to help them see how to solve the thing they came in worried about. That is the move, and the data says it works.
The customer used to need you for information. Now they need you for understanding. One of those a machine can hand them. The other one is still the whole reason you have a job. Chris Schafer
The numbers behind the optimism.
This is not a vibe. Salesforce found that teams using AI are 1.3 times more likely to grow revenue, with 83 percent of AI-using teams reporting growth against 66 percent of those without. Bain reports that early AI deployments in sales lifted win rates by more than 30 percent, and moved sellers from spending only about a quarter of their time actually selling toward roughly half, because the busywork got absorbed.
And the line every doom post conveniently skips. Teams that adopted AI added headcount faster than the teams that did not, 68 percent against 47 percent. Put the black armband away. The salesperson is not being eulogized. The salesperson who learns to use this is becoming the most valuable person in the building, because they now do at scale the one thing the company cannot automate. They understand the customer, and they act on it.
Where this gets built.
Buying the tools is the easy part. Almost every team I walk into already has the AI. What they do not have is the habit, the standard that says no rep walks into a meeting without understanding the customer first, and the skill to turn that understanding into a conversation that earns trust. That is the part I build. I come in, set the standard, and teach the team to run it without me. It starts with a free call where you tell me where deals are stalling and I tell you what I would look at first. The build itself is the revenue leader mentorship.
And if you want to take this past one meeting, the same instinct scales. Understanding your single most profitable customer profile to the bone, then rebuilding the company to win more like it, is its own discipline. I laid out the whole method, with the research behind it, in the best-customer engine.
One thing to go check.
Pull up your most important open deal. Write down, from memory, the three things that matter most to the person you are selling. Their goals, their pressure, the outcome they are actually buying. If you stall past the first one, that is the gap, and for the first time in the history of this job you can close it before your next call instead of during it.
AI and understanding the customer. The actual mechanics.
Why is understanding your customer the most important part of selling?
Because buyers reward it and punish its absence. 86 percent of business buyers say they are more likely to buy from a company that understands their goals, and 59 percent say most reps never take the time. That gap, not price, is what quietly kills most deals. Knowing how you can help a customer the most has always been the job. AI just removed the excuse for not doing it.
How are the best sales teams using AI to understand customers?
For the homework, not the conversation. They use AI to research the account, pull together its public moves and history, and surface the likely real problem before the meeting. Gartner expects 95 percent of seller research to start with AI by 2027. The point is not to automate the human away. It is to walk in already understanding the business so the conversation can be spent on what only a person can do.
Does using AI in sales replace the salesperson?
The data says the opposite. Teams that adopted AI added headcount faster than teams that did not, 68 percent versus 47 percent, and were 1.3 times more likely to grow revenue. AI took the busywork and moved sellers from spending about a quarter of their time selling toward half. It did not replace the rep. It made the rep worth more.
Will AI make sales conversations better or more robotic?
That is a choice, and the best teams choose better. AI handles the knowing. The human handles the connecting. A rep who shows up already understanding the business spends the conversation hearing the person and finding the real problem, which is the opposite of robotic. The risk is using the freed time to send more generic outreach. The win is using it to understand the customer better than anyone else bothers to.
How does this connect to HELP and the Three Cs?
Directly. AI supercharges Hear and Learn, the two phases where you take in the customer's world and recognize the pattern. It cannot do Evidence or Proceed for you, the judgment and the ownership of the decision. The Three Cs, Curiosity, Communication, and Confirmation, are the human skills the freed-up time is for.
Last updated · July 2026