B2B Buyers Use AI Tools Heavily for Research — But Don't Trust the Answers
While enterprise buyers in 2026 are heavily adopting generative AI for software research, they are experiencing a severe trust deficit regarding the output. This tension has created a "split-brain" buying journey where buyers leverage AI for speed and data synthesis but refuse to make final decisions without deep human validation.
Data from G2’s April 2026 report, The Answer Economy: How AI Search Is Rewiring B2B Software Buying, and Forrester's The State of Business Buying, 2026, outlines the scale of this trust gap and how it is redefining the role of the B2B sales representative:
1. The AI Search Tipping Point vs. The Accuracy Crisis
The shift to AI-mediated research has crossed a decisive threshold:
- 51% of B2B software buyers now begin their software research with an AI chatbot more often than with Google—a massive jump from 29% in April 2025 (G2).
- 71% of buyers rely on AI chatbots for software research, and 53% feel it is more productive than traditional search.
- 69% of buyers chose a different software vendor than planned based on AI chatbot guidance, and 33% purchased from a vendor they had never heard of before.
Yet, despite this heavy reliance, buyers remain highly skeptical of the results. G2 reports that 64% of buyers encounter inaccurate AI chatbot recommendations often or very often.
Furthermore, Forrester's data reveals that 20% of buyers feel less confident in their purchasing decisions because they encountered unreliable or inaccurate AI information. This trust deficit is even more pronounced among procurement professionals, with 28% reporting a loss of confidence and 22% reporting wasted time due to poor AI-generated info.
2. The "Split-Brain" Buyer Journey and the Demand for Human Validation
To compensate for AI's reliability issues, buyers are turning back to human experts and sales representatives to validate findings before committing capital. Gartner's May 2026 research shows that 69% of B2B buyers prefer to validate AI-generated insights with sales reps.
Robert Blaisdell, VP Analyst and Chief of Research at Gartner, explains this dual behavior:
“The buyer journey is basically split-brain now — buyers want AI for the cold, factual evaluation, and they prefer sales reps for trust and validation. They’re delegating logic and craving connection at the exact same time.”
This is further exacerbated by a lack of trust in vendor-provided AI bots. Alyssa Cruz, Director Analyst at Gartner, notes:
“Buyer trust is the constraint: only 33% of buyers rank supplier-provided generative AI as trustworthy. Buyers trust your content more than your bots, so use AI to enable progress, not to ‘sell’ at scale.”
3. Verification Beats Persuasion
In this skeptical environment, a vendor's sales team must pivot from "persuasion" to "verification." Buyers are looking for sales reps to act as a source of confidence and risk reduction:
- 51% of buyers believe they are more likely to encounter misleading information from GenAI, compared to 49% who expect it from a sales rep.
- When AI chatbot recommendations conflict with a brand the buyer trusts, 24% of buyers immediately turn to peer reviews as their next step (G2).
- When buyers experience "value affirmation" from a sales rep—validating that the software can deliver its promised outcomes in the buyer’s specific business context—75% of buyers report a high-quality deal (Gartner).
For founders, this means that while AI search optimization (AEO/AXO) is critical to getting on the initial chatbot-generated shortlist, the deal is ultimately won or lost based on the sales team's ability to provide human validation, expert-led demos, and structured trials.