Every buyer goes through a predictable five-stage purchase process as they move towards a buying decision, whether they realize it or not. These stages are Openness, Focus, Knowledge, Evaluation, and Decision.

For relatively simple purchase decisions, a buyer may move through these stages quickly. In complex purchases, however, it is a long process that may involve multiple decision-makers entering the purchase process at different stages. It is also essential to note that the process is not linear. A buyer can advance through several stages of the purchase process and then return to a previous step before moving forward.

AI excels at helping B2B buyers research markets, compare vendors, analyze proposals, evaluate claims, and build business cases quickly and objectively. Salespeople, on the other hand, add the most value by guiding buyers through their purchase process where human judgment matters, such as bringing company-specific insights, building trust (SBI's blog guide to building sales relationships covers these trust-building behaviors in depth), uncovering broader business problems, connecting the buyer’s problem to the seller’s solution, challenging assumptions, and creating confidence and consensus to act, including navigating organizational dynamics.

To effectively guide buyers through their purchase process, you must align their buying journey with your sales process. A typical sales process consists of Plan the Call, Develop Needs, Present Solutions, Manage Feedback, and Gain Commitment. By understanding the stages of the buyer's purchase process, you can better position yourself to help them make the best buying decision for their unique situation.

That’s the essence of consultative selling.

A Stage-by-Stage Guide to Consultative Selling in the Age of AI 

Here are the five stages of the buyer's Purchase Process, and the corresponding stages of a typical Sales Process, and how a salesperson can add value at each stage, assuming the buyer has already done some AI-assisted research.

Stage 1: Openness — Plan the call around insight AI doesn't have

Openness is the stage where a buyer becomes willing to solve a problem or consider a purchase. At this stage, the buyer is willing to meet with you. You should Plan the Call by doing meticulous research on the buyer, the account, and the industry, leveraging AI, prior interactions, and your experience. Your goal is to come to the initial meeting with a strong account-specific point of view or insight based on factors such as a leadership change, a new regulation affecting their industry, or a competitor's recent move. You can highlight your insight by opening the call with a thought-provoking opening question such as “I noticed your team brought on a new VP of Operations last quarter. How is that changing the way you're evaluating this?” This will convey to the buyer that you’ve done your homework and make the buyer more open to you, your company, and your approach.

Stage 2: Focus — Develop needs with questions only a human would ask

Once the buyer has acknowledged that they are open to making a change, the next step is to focus on what is important to them. As a seller, you now develop needs by asking thought provoking questions. This helps you build a comprehensive understanding of your customer’s problems, initiatives, and challenges; and helps you provide them with a solution that resonates.

Great questions help you uncover the buyer's situation and problems. Asking great questions also helps the buyer consider the broader business implications of solving their problems or leaving them unresolved. For example, “Most companies your size in this industry are dealing with [XYZ trend] right now. Is that showing up in your numbers, or is something else driving this?” Followed by, “How is that impacting other areas of your business?” A buyer typically can’t have such an in-depth conversation with AI, but rather only with a well prepared salesperson.

Stage 3: Knowledge — Present solutions with insight AI can't personalize

Knowledge is the stage where a buyer learns what's available from you and your competitors, and with AI they may have done this research right at the beginning. Once you clearly grasp the buyer's needs, you can move forward and present your Solution. Your goal is to demonstrate how your solution can address their specific challenges in a compelling way by focusing on the buyer's specific need and use case. While the buyer may have created a vendor evaluation scorecard using AI before even meeting with you, asking great discovery questions puts you in a better position to differentiate your solution from the competition.

Stage 4: Evaluation — Manage feedback with trust an AI summary can't earn

Evaluation is the stage where a buyer weighs how well the available options meet their priorities, including your solution. For a seller, this means asking the buyer for feedback. This feedback can range from positive responses indicating enthusiasm and eagerness to negative feedback in the form of objections or concerns.

Effectively managing feedback is crucial as it allows you to either address objections (negative feedback) or expand the sales opportunity (positive feedback). Buyer objections increasingly arrive already shaped by AI, a confident comparison, a competitor's AI-generated messaging, a colleague's opinion pulled from an online forum. Acknowledging what's accurate in that input, clarifying what's actually driving the concern, and addressing it with judgment grounded in this account is the same approach that has always managed feedback well. What matters more now is the trust behind it. A buyer who has watched a salesperson be honest about a competitor's real strength, and objective instead of defensive, is more likely to believe that same salesperson's read on a conflicting AI claim than to trust one more anonymous source online.

Stage 5: Decision — Gain the commitment AI can't ask for

Decision is the stage where a buyer chooses to buy from you, buy from a competitor, stay open, or walk away. This is when you Gain Commitment by recapping the buyer’s priorities and asking directly for the next step. AI can leave a buyer feeling thoroughly informed. It can't ask a buyer to commit, and it can't guide that commitment through the buyer's own internal approval process.

In Summary

AI has given buyers access to an incredible amount of information, but it can’t guide the buyer through their own Purchase Process. That’s the job of a salesperson using their corresponding Sales Process and their unique insights, experience, research, and judgment.

If your discovery conversations still open with questions your buyers could already answer with a quick AI search, that's a significant skill gap, not an effort problem. SBI's Comprehensive Selling Skills™ program trains sales professionals on consultative selling techniques, including how to close more business by guiding a buyer through their own purchase process. Schedule a consultation to see how we can help your team sell the way today's AI-informed buyers actually buy.

FAQ

What does “consultative selling in the age of AI” actually mean?

It means guiding a buyer through their own Purchase Process using the parts of a purchase decision AI can't do for them: bringing account- and industry-specific insight, asking thought-provoking questions, uncovering the buyer's broader business problems, challenging assumptions, and building the trust and organizational consensus needed to act. AI handles the research; the salesperson still has to guide the buyer to a decision that fits their specific situation.

Does AI make discovery questions less important?

No, it changes their purpose. A buyer typically can't have an in-depth conversation about their business with AI, only with a well-prepared salesperson. Discovery questions now need to uncover the broader business implications of a problem, not just confirm facts the buyer's AI research already covered.

What can AI do better than a salesperson?

AI helps buyers research markets, compare vendors, analyze proposals, evaluate claims, and even build a vendor evaluation scorecard, often faster and more objectively than a person working through the same volume of information alone.

What can't AI replace in the sales process?

AI can't uncover a buyer's broader business problems, connect those problems to the right solution, challenge assumptions, or build the trust and organizational consensus a buying group needs to act. Those remain the salesperson's job, especially in complex deals with multiple decision-makers.

Does every buyer move through the Purchase Process in a straight line?

No. Simple purchases may move through the five stages quickly, but complex deals are rarely linear — a buyer can advance several stages and return to an earlier one, and multiple decision-makers often enter the process at different points. That's why matching your Sales Process to wherever the buyer actually is matters more than following a fixed script.

The best managers treat AI output like a first draft from a new salesperson: it gets reviewed before it ships. Here are a few management and coaching actions you can use with your sales team:

• Spot-check three to five AI-assisted outputs per salesperson per week — emails, call prep, proposals — and debrief them as a coaching conversation, not a performance review.

• Coach the validation habit with the same attention given to the prompting habit. Knowing how to check an output matters as much as knowing how to generate one.

• Recognize catches as their own result. When a salesperson flags a wrong claim before it reaches a buyer, that's worth naming publicly, separate from whatever the output itself achieved.