There's a common worry in sales right now that AI chatbots are picking vendors and reps are being cut out. Two recent buyer studies suggest something more useful. Buyers do use AI a lot. Mostly, though, they use it to check you after they've already heard of you.
That changes what you should do on the next call.
What the numbers say
On October 8, The Reality Department published a survey of 250 UK B2B buyers, influencers and decision-makers at companies with $50 million or more in annual revenue. The fieldwork ran in August 2026.
- 77% used an AI tool somewhere in vendor research.
- The most common use was fact-checking a vendor they had already found (30%). Initial discovery was 27%, and narrowing the shortlist was 20%.
- Only 21% of the buyers who used AI fully trust its recommendations.
- An AI tool was how a vendor got onto the shortlist in 12% of purchases. That came last of five routes, behind peer recommendation (26%), prior familiarity (24%), vendor outreach (19%) and analyst or review sites (18%).
G2's 2026 Buyer Behavior Report, based on a June 2026 survey of 1,038 B2B software decision-makers, points the same way from another angle:
- Evaluation is now the longest stage of the buying journey for 40% of buyers.
- After a vendor is picked, IT security review is the biggest source of delay (39%), followed by budget approval (32%).
- 49% say their CFO reversed a software purchase the buying team had already approved in the last 12 months.
- In G2's interviews, marketers described sales teams spending more time un-teaching things buyers "learned" from AI: comparisons that are generic, dated or just wrong.
Put those together and you get a clear picture. AI isn't the main way buyers find you. It's what they use when they're deciding whether to believe you.
So the rep's job shifts a little
If buyers are checking you with AI, then mid-deal, your claims are being cross-examined by a tool you can't see. Whatever it says about your pricing, security or customers is sitting in the buyer's head when they get back on a call with you.
That gives you three practical jobs.
1. Ask what they've already read
Early in discovery, ask straight out: "What have you looked at so far, and has anything you've read raised questions?"
Most buyers will tell you. Some will say they asked ChatGPT or another tool to compare you with a competitor. Good. Now you know what you're dealing with.
Don't argue with the summary. Ask what it said, then correct the specific point with something they can check. "That pricing is from our old plan. Here's the current page." Calm and specific beats defensive every time.
2. Send the facts before they go looking
The Reality Department's advice to marketers was simple: make sure the facts AI finds about you are right, because checking is the main use. Reps can do their own version of that in the deal.
After a first call, send a short fact sheet that answers the questions buyers usually take to a chatbot:
- How pricing works, including what changes the price.
- Security basics, and where to find the full documents.
- Main integrations, with honest notes on what's native and what needs work.
- Two or three customers like them, if you're allowed to name them.
- What you're not a good fit for.
That last line matters. It shows you aren't hiding anything, and it's exactly the kind of thing a buyer would otherwise go and ask an AI.
3. Give your champion something to forward
The G2 data shows where deals slow down: security review and budget approval. Your champion has to carry your case into rooms you'll never be in.
So make their life easy. Before they ask, send:
- Your security documentation, or a clear path to it.
- A one-page business case they can edit, with the assumptions written out so finance can poke at them.
- A plain explanation of how any AI in your product uses data, if that applies.
If nearly half of buyers have seen a CFO reverse an approved deal, waiting for finance to ask is a bad bet. Get the proof in early.
Check what the bots say about you
Here's a five-minute habit worth adding once a month. Open two or three AI tools and ask them the questions a buyer would:
- "What does [your company] cost?"
- "How does [your company] compare with [main competitor]?"
- "Is [your company] secure enough for a mid-size bank?"
Write down anything that's wrong or out of date. Some of it will be your marketing team's job to fix. But reps should know what's out there, because that's what buyers will quote back at you.
Don't overcorrect
Two things to keep in mind so this doesn't turn into another fad.
First, nearly a quarter (23%) of the buyers in the Reality Department survey didn't use AI at all, and peer recommendations and prior familiarity still put more vendors on shortlists than AI did. Referrals, reputation and good outreach still matter.
Second, this is one survey of UK buyers at larger companies, and one global survey of software buyers. Your market may look different. Treat the numbers as a strong hint, not a law.
What to do this week
Pick your three active deals that are furthest along. For each one, ask yourself:
- Do I know what the buyer has read or asked an AI about us?
- Have I sent them a fact sheet they could check us against?
- Does my champion have the security and business-case material to take to finance?
If any answer is no, that's your next email. It's not a clever play. It's just making sure that when the buyer checks you, the truth is the easiest thing to find.