Skip the Rep, Then Call One: Buyers Want Sellers to Fact-Check Their AI

Two numbers from the same Gartner survey look, at first glance, like they cannot both be true. Two thirds of B2B buyers say they would rather buy without talking to a salesperson. More than two thirds say they want a salesperson to check the answers their AI tools gave them. Read together, they describe a buyer who does not want to be sold to but does want to be reassured, and a seller whose value has moved from delivering information to certifying it. For revenue leaders still measuring reps on activity volume and demo counts, that is a quiet but significant change in what the job actually is.

The Rep-Free Buyer Still Wants a Second Opinion

Gartner's research, based on a survey of 645 B2B buyers fielded from August through September 2025, has been released in two parts this year. The first, reported by Digital Commerce 360 in March, found that 67% of buyers favor a rep-free experience and 45% used AI tools during a recent purchase. Buyers who reached what Gartner calls value clarity were twice as likely to report a high-quality purchase. Alyssa Cruz, a senior principal analyst in the Gartner Sales Practice, warned that sellers "can't rely on static collateral to carry influence in those moments."

The second part, presented at Gartner's CSO and Sales Leader Conference in May and detailed by CX Today, complicates the rep-free story. Seventy percent of buyers said they prefer a completely digital, self-service experience, yet 69% prefer to validate AI-generated insights with a human rep. Compared with generative AI, buyers were 39 percentage points more likely to say a rep understood their needs, 32 points more likely to say a rep made them feel confident, and 28 points more likely to say a rep helped them advance to the next step.

The trust gap is narrower than sellers might like. According to TechIntelPro's summary of the findings, 51% of buyers said they were more likely to run into misleading information from generative AI, but 49% said the same of sales reps. Buyers also used an average of seven information sources on a recent purchase. Robert Blaisdell, VP Analyst and Chief of Research in the Gartner Sales practice, framed the implication directly: sellers "need to show up differently, engaging where they can help buyers validate information, reduce risk and move forward with greater confidence."

"Buyers are using AI to move faster, not to think less." – Rajat Bhatnagar, SVP of Growth, HG Insights

Every Answer Is Now Getting Audited

The same pattern shows up in independent data. The TrustRadius 2026 B2B Buying Disconnect Report, drawn from a January 2026 survey of 1,862 technology buyers and 444 vendors, found that 63% of buyers used AI during their purchase journey and 94% of those buyers fact-checked its responses at least some of the time. Buyers are also narrowing fast: 83% shortlisted three or fewer products, 74% used reviews to inform their decision, and transparent pricing has been the top item on buyers' wish lists every year since 2023.

That verification habit changes where deals are won. The 6sense 2025 Buyer Experience Report, based on more than 4,000 buyers, found that 94% of buyers used large language models to summarize or analyze research, yet they still averaged 16 interactions per person with the winning vendor, the same as a year earlier. AI has not removed the conversations. It has changed what they are for. And 58% of buyers said the need to understand how a vendor was using AI inside its own product pushed them to engage sellers earlier than they otherwise would.

Put those findings side by side and a clear picture emerges. The buyer arrives with a draft answer: a shortlist, a feature comparison, a rough price range, often generated by an AI tool. What they want from the vendor is not a fresh pitch but a verdict on the draft. Is this accurate? What is missing? What will it really cost? A rep who responds with a standard discovery script, as if the buyer were starting from zero, wastes the one interaction the buyer actually wanted.

Why Most Sales Motions Miss the Moment

Most sales processes were designed around the rep as the primary source of information. Stage definitions, talk tracks, and enablement content assume the seller controls what the buyer learns and when. Gartner's data suggests that model is inverted. Greg Hessong, a senior director analyst at Gartner, told the conference that "the most effective sales organizations are not simply layering AI onto existing ways of working." Gartner's survey of 227 chief sales officers found organizations with AI-enabled next best actions were 2.6 times more likely to achieve commercial growth, and those prioritizing seller AI upskilling were 2.4 times more likely to report strong revenue growth.

There is also a blind spot in how deals are reviewed. When a buyer's AI summary misstates a vendor's pricing, integration support, or security posture, the vendor usually never finds out. The deal simply fails to materialize, or the buyer shows up to a first call with an objection the rep cannot trace. CRM loss codes will not capture it, because the decision that mattered happened in a chat window, not in the opportunity record.

The CRO Playbook for the Validation Era

• Redefine the first call as a review, not discovery. Train reps to open by asking what the buyer has already concluded and where it came from, then confirm, correct, or fill in the gaps before pitching anything.
• Audit what AI says about you. Run the questions your buyers ask through the major AI assistants every quarter and log where the answers on pricing, features, and integrations are wrong or out of date.
• Publish the facts buyers are checking. With transparent pricing topping buyer wish lists for four straight years, give buyers and the AI tools they use accurate, current material on cost drivers and capabilities.
• Measure the self-serve journey as closely as the pipeline. If 70% of buyers prefer a digital path, instrument where they drop off or go looking for a human, and treat those points as sales signals.
• Ask lost and won buyers what they believed going in. Direct buyer interviews are the only reliable way to learn whether an AI-generated misconception shaped the shortlist before your team was involved.
• Pair AI and humans deliberately. Let AI handle research and first drafts on both sides of the deal, and reserve rep time for the moments Gartner's buyers named: confidence, risk, and the next step.

The rep-free buyer is real, but the finish line still runs through a person. The revenue teams that do well in this cycle will be the ones that stop competing with AI to deliver information and start competing to be the source buyers trust to confirm it.