B2B Buyers Fact-Check AI Research Before They Trust It. Most Supplier Websites Give Them Nothing to Check Against

Nearly two-thirds of B2B buyers now use AI somewhere in their purchase journey, and almost all of them check its homework. TrustRadius's 2026 B2B Buying Disconnect Report, based on responses from 1,862 technology buyers and 444 vendors gathered in January 2026, found that 63% of buyers used AI during a recent purchase. Of those, 94% said they fact-check what it tells them at least some of the time. AI has changed where research starts. It has not changed where buyers go to confirm what they've read.

That distinction matters more for engineering and manufacturing suppliers than for most sectors selling to business buyers. A summarised answer about tolerances, lead times or compliance is only as good as the source behind it, and a buyer specifying a part or a service they'll be accountable for internally is not going to take a chatbot's word for it. They go looking for the primary source: the supplier's own site, a spec sheet, a case study with a name attached, a price range that tells them whether they're in the right conversation at all.

This is where the TrustRadius data gets specific about what buyers actually check against. Reviews still influence 74% of purchase decisions, ranking above almost every other resource the report tracked. Analyst reports, by contrast, are used by just 13% of buyers now, down 63% since 2022 as AI summaries have taken over that particular job. And for the fourth year running, transparent pricing has topped buyers' wish list for what they want vendors to provide, a request TrustRadius says has gone unanswered by most vendors since it started asking in 2023. Put together, the pattern is consistent: buyers will let AI do the reading, but they still want a human-verifiable trail once they've narrowed the field.

Most UK engineering and manufacturing sites are not built with that trail in mind. Specification pages describe capability in general terms rather than named projects and numbers. Case studies, where they exist at all, tend to be thin on the specifics a fact-checking buyer is actually hunting for. And pricing is treated as a conversation to be had after contact rather than information that helps a buyer decide whether to make contact in the first place. None of this was a serious problem when research happened by phone or exhibition stand. It is a bigger one now that an AI tool has already told the buyer roughly what to expect, and your website is the page that either confirms or contradicts it.

The fix is not complicated, even if it takes real work to do properly. A spec sheet with a named client and a measurable outcome survives a fact-check in a way a generic capability statement does not. A price range, a starting rate, or even a clear explanation of what drives cost gives a buyer something concrete to weigh against whatever an AI tool estimated. The sales assets most UK engineering and manufacturing SMEs are still missing are, more often than not, exactly the assets this kind of buyer is now searching for by name.

Case studies deserve particular attention here, because they are doing double duty: they're both a sales asset and, increasingly, the thing an AI research tool cites back to a buyer as evidence. A case study that names the client, states the brief and gives a real number is far more useful to both audiences than one that talks in generalities about "improved efficiency." We've written before about why so many UK engineering and manufacturing websites have no case studies to show at all, and that gap is exactly the one buyers are now running into at the fact-checking stage rather than earlier in the funnel.

None of this is about beating AI search, or trying to game whatever a buyer's chatbot happens to say. It's about making sure that when someone checks, what they find backs up the story rather than undermining it. That's the standard Nebula builds sales content to meet: specific enough to survive scrutiny, honest enough that a buyer who checks comes away more confident, not less.