AI is becoming an influential voice in buying committee decisions
How many times have you had to assemble proof points or build a business case for a buyer who was already convinced? They didn’t need you to persuade them, but they needed your help persuading someone else. Up till now, the usual suspects included their boss, buying committee or leadership team.
That part of B2B buying isn’t new. But there’s a new kid in the vetting room, and he’s operating on a whole other level. He’s fast, he’s quirky, and even though he hallucinates, he holds enormous sway with the other buying decision makers he assists. Which is all of them. Simultaneously.
I know you know who I’m talking about. (Even if I didn’t spill the beans in the blog title!) The new buying committee member is AI.
Here’s how buying committee dynamics play out with AI at the table:
Your internal champion walks into the meeting prepared to make the case for your company.
Buying committee members show up with AI-generated questions, comparisons and concerns of their own.
Interrogation ensues.
To be fair, stakeholders are rarely self-appointed skeptics. It’s their responsibility to vet vendors and spend, often on top of their day jobs. Like you, and everyone you know, they’re overloaded. AI now gives them a quicker and easier way to prepare for buying discussions and demonstrate due diligence.
And this brings us full circle to the emerging, outsized influence of AI in purchasing. By helping stakeholders evaluate a preferred vendor in minutes, AI becomes an increasingly influential voice in the buying committee’s discussions and decisions. It doesn’t literally get a seat or a vote, but it doesn’t need one to influence outcomes.
At the AI Revenue Institute (AIRI), we wanted to understand just how frequent and consequential buyer committee use of AI has become. So, we asked B2B buyers whether other stakeholders in their organization had used AI to challenge a vendor recommendation they brought forward.
54% of B2B buyers say stakeholders have used AI to vet vendors they recommended
AIRI surveyed 521 B2B professionals actively involved in researching, evaluating, recommending or approving business purchases to understand how AI is shaping their decisions.
The results show that AI is adding a new vendor validation layer to B2B buying. This is one of five major shifts identified in AIRI’s B2B AI Buying Behavior Survey Report, “The AI-Powered B2B Buyer Has Arrived.”
Here’s what buyers told us about how buying committees’ use AI to vet purchasing recommendations:
54 percent said a boss, senior executive or buying committee member has used AI to evaluate or question a purchase or contract recommendation they brought forward, or to add other vendors for evaluation.
28 percent said they weren’t aware of it happening but acknowledged that it may have occurred without their knowledge.
Why it matters: AI may raise new questions or add new vendors to the mix
In a typical revenue motion, your sales team has spent weeks answering tough questions, addressing concerns and clearing every review hurdle the lead buyer put in their path. The work pays off: The lead buyer recommends your company to the broader buying committee.
Time to celebrate? Not quite.
Before the meeting, the finance leader asks AI to assess the business case. The security leader uses another AI tool to identify potential risks. A C-suite executive asks AI about competing options. Each stakeholder may come to the group discussion prepared with an AI-generated assessment of your company.
These AI-assisted reviews may reinforce the recommendation (or at least not undermine it). Or they may surface outdated or incomplete information, unanswered questions, or competitors that the initial evaluation never considered.
If AI raises new questions or adds vendors to the mix, the buyer may have to investigate new options, revisit comparisons, gather additional evidence and defend the original recommendation before the purchase can move forward.
Right or wrong, each AI analysis can steer the committee’s discussion. The challenge isn’t only whether your company holds up under scrutiny, but whether the strongest case for choosing your company reaches beyond the people your sellers directly persuade.
If your strongest business case lives only in a presentation, proposal or conversation with the internal champion, it may be absent from the sources referenced in stakeholders’ AI-assisted reviews. Instead, AI may rely on incomplete, outdated or contradictory information. If and when your sellers learn what buying committee use of AI uncovered and have an opportunity to respond, doubt among the stakeholders may already have taken hold.
AIRI INSIGHTS
AI ‘vetting mode’ may create doubt that puts the deal at risk
Unlike traditional search, AI assistants and agents aren’t always neutral. When someone asks AI, “What can you tell me about this company?” the answer may be fairly neutral. But when the prompt changes to, “This company was recommended to me. What can you tell me about them?” the tone often changes. Now, AI is in “vetting mode” and starts looking for reasons to confirm or question the recommendation.
We have observed this behavior directly in rounds of diagnostic testing on AI responses to buyer questions at scale.
When AI finds the evidence it’s looking for, it confirms assumptions and builds buyer confidence, improving the likelihood that the deal moves forward. When AI doesn’t find evidence, it responds in ways that can put the deal at risk:
Doubt: AI raises credibility concerns.
Dilution: AI makes you sound like everyone else.
Disconnect: AI finds gaps between the partner’s story and public proof.
Drift: AI redirects the buyer to competitors.
What you can do: Make your proof points easy for AI to find and verify
Rather than leave your hard-won recommendations open to potentially faulty AI appraisal, there are steps you can take to ensure that credible, current and well-supported information about your company is online (on your website and on independent third-party websites) for buyers and their AI tools to find and use.
Start with the case you want the buying committee members and their AI tools to understand. Identify the claims, differentiators and outcomes that cause customers to choose your company. Then ask what a stakeholder would find if they asked AI to investigate or validate each one. You can test this directly, but do it at scale to deal with probabilistic randomness and be careful when using cheap AI search solutions that don’t use the frontier models that buyers typically use. As with all things AI, different models can make a big difference.
Bring sales, marketing, product, customer success, communications and technical teams together to consider these questions:
Is each important claim supported by specific, current evidence available beyond a sales conversation or gated presentation?
Do our website, proposals, customer evidence, technical documentation and credible third-party sources tell a consistent story?
Where might buyers using AI encounter outdated information, unsupported claims, apparent contradictions or gaps a competitor could fill?
Use these answers to close the gaps. Publish content that connects important claims and differentiators to credible evidence, including customer outcomes, case studies, security and compliance information, comparison criteria, and independent third-party validation. Make important evidence easy to locate, interpret, verify and share, both on-site (on the page and in your schema) and off.
A closing thought on AI randomness. You can’t control every prompt or AI-generated answer. But you can influence the evidence available when stakeholders use AI to ask questions about your company and its solutions. If AI is going to have the buying committee’s ear, make sure it can find your strongest business case before it makes a weak one without you.
Editor’s Note: The addition of an AI-assisted vendor validation layer is one of five major shifts uncovered in AIRI’s research. Get the full report to learn how these changes are affecting B2B purchasing and what they mean for revenue generation and retention.
Download the full AIRI B2B AI Buying Behavior Survey Report, “The AI-Powered B2B Buyer Has Arrived,” to explore all five shifts and the complete findings.