55+ AI in B2B Software Buying Statistics (2026)

55+ sourced figures on how B2B buyers research, shortlist and fact-check software vendors with AI in 2026, each with who was asked and when.

Most B2B software buyers now ask an AI assistant about vendors, and nearly all who use it check what it says. In TrustRadius’s January 2026 survey of 1,862 technology buyers, 63% used AI at some point in a purchase,1 and 94% of those who used it to research a purchase fact-checked what it told them.1

The figures below show how far that habit has gone: how many buyers research vendors with AI, whether it now comes before Google, how much it steers the shortlist, and how far buyers trust it. How sellers use AI is a separate question, with its own AI in sales statistics. Every number here comes from public research, with who was asked and when, linked to where it was first published.

Mystery Demo covers the part of a vendor those AI answers cannot reach. It books competitors’ real sales demos for software companies, runs each one as a genuine buyer, and hands back what each rep quoted, showed and said on a shared board, with every finding tied to its recording. None of that is published, so no assistant can read it.

Key Takeaways

82% of the more than 1,000 B2B software buyers in G2’s 2026 buyer behavior survey sourced software recommendations from an AI chatbot in the previous 24 months.2
51% of the 1,076 software buyers G2 surveyed in March 2026 start their research with an AI chatbot more often than with Google.3
AI chatbots, at 37%, sat one point behind review sites as a source shaping which vendors make a buyer’s shortlist, in G2’s 2026 buyer behavior survey.2
69% of the buyers in G2’s March 2026 survey chose a different vendor than they had planned because it was part of a chatbot’s recommendation.3
72% of technology buyers who used AI checked its answers very often or always, in TrustRadius’s January 2026 survey.1
69% of the 645 B2B buyers Gartner surveyed in 2025 prefer to validate AI-generated insights with a sales rep.4
In 118 of 413 markets in Parse’s 2026 study, fewer than 1% of AI search answers quoted a brand price, and most of those markets were business and enterprise software.5

AI Has Become a Routine Step in Researching Software Vendors

For a sales team, this means an AI assistant is now one of the places buyers learn about your category. Every survey below found it, but each asked a different group a different question, so read each row on its own.

StudyWhat it measured, and who was askedShare
G2, March 2026rely on AI chatbots at some point in their research (1,076 B2B software buyers)71%3
G2, 2026 (dates not stated)sourced software recommendations from an AI chatbot in the previous 24 months (more than 1,000 B2B software buyers)82%2
TrustRadius, January 2026used AI at any point in the buying process (1,862 technology buyers)63%1
Gartner, August to September 2025used generative AI in a recent purchase, mainly to gather information on vendors and products (645 B2B buyers)45%4
Wynter, January 2026use AI tools to discover vendors, up from 24% a year earlier (101 CMOs at B2B SaaS companies with $50M+ revenue)84%6
6sense, 2025used large language models during the buying process (nearly 4,000 buyers of services, software and goods with $25,000+ of spend)94%7

TrustRadius found that AI tools and AI search are the only resources its buyers now consult more often than in previous years.1 Buyers also rate AI more highly than they did a year ago: the share calling it helpful in their buying process rose from 40% to 54%, and the share saying it had no impact fell from 45% to 29%.1

Grouped bar chart from TrustRadius’s surveys of technology buyers, 2025 against 2026: AI is helpful, 40% in 2025 and 54% in 2026; no impact, 45% and 29%; frustrating, 11% and 13%; other, 3% in both years.
Helpful gained 14 points in a year while no impact lost 16.

G2’s buyers say the same. In its March 2026 survey, 53% said research with AI chatbots is more productive than traditional search, up from 36% seven months earlier.3

Use is not even across buyers. Responsive’s study of 350 B2B buyers, published in October 2025, found these gaps:

Buyers, and what was measuredShareCompared with
In the technology industry, use chatbots as a top source for finding new vendors56%828% in other industries8
In the U.S., use generative AI for vendor discovery48%814% in other regions8
At companies with 2,000 or more employees, use generative AI for discovery42%818% at companies with 501 to 1,0008

Used this widely, AI now competes with search engines for the first look at a category.

For Many Buyers, an AI Chatbot Now Comes Before Google

For half of software buyers, the first look at your category is now more often an AI answer than a page of links. Three studies compared the two directly, each with its own question.

StudyWhat they found, and who was askedShare
G2, March 2026start research with an AI chatbot more often than with Google, against 29% in G2’s 2025 report (1,076 B2B software buyers)51%3
G2, March 2026use AI search alongside Google (the same 1,076 buyers)61%3
Wynter, January 2026start their search with AI tools before traditional search engines (101 B2B SaaS CMOs)68%6
Responsive, October 2025generative AI has overtaken traditional search (350 B2B buyers)a quarter8
Responsive, October 2025use generative AI as much as or more than search when researching vendors (the same 350 buyers)nearly two-thirds8
Responsive, October 2025use generative AI at least as much as search for vendor research (the technology-industry buyers among the 350)80%8

Google has not gone away, but its job has changed. Asked where they start a software search and which channels they use, Wynter’s CMOs named Google most often, at 72%, mostly to check what they had found elsewhere.6 AI tools came close behind, at 68%.6

Horizontal bar chart from Wynter’s January 2026 survey of 101 B2B SaaS CMOs, asked where they start a software search and which channels they use: Google, mostly to verify, 72%; AI tools and LLMs 68%; peer communities 65%; G2 and review sites 52%.
Most CMOs named several places, so the shares add up to more than 100%.

Only 9% of the same CMOs begin by googling a software category.6 That is how Google can be the channel they use most and still not be where the search starts.

None of these studies records the questions buyers type into an assistant about a vendor. G2 comes closest, with the most common uses of AI in buying from its 2026 buyer behavior survey:

Understanding total cost of ownership, 51%2
Researching solutions, 49%2
Evaluating shortlisted vendors, 46%2

Some of that research runs deep. 41% of the buyers in G2’s March 2026 survey use deep research tools for structured software evaluations.3 Those tools answer one question with a report many pages long.

Two of the four uses G2 lists are about the shortlist itself, and the shortlist is where AI’s pull shows most clearly.

AI Now Steers the Shortlist About as Much as Review Sites

A vendor that AI answers leave out can lose a deal before its sales team knows the deal exists. The shortlist matters because most buyers buy the product they ranked first on it.

67% of TrustRadius’s technology buyers bought the product that was their first choice when they made their shortlist,1 and 62% of Wynter’s CMOs evaluate exactly three vendors.6 G2 measured what steers that shortlist in two separate surveys in 2026:

G2 surveyWho was askedWhat led as a source shaping the shortlist
March 2026, released in April1,076 B2B software buyersAI chatbots, ahead of review sites, analyst firms and vendor websites3
Behind the July 2026 releasemore than 1,000 B2B software buyers (dates not stated)review sites at 38%, then AI chatbots at 37%, the first time review sites passed chatbots2

Read together, the two surveys put AI chatbots and review sites level at the top. Half of the July survey’s buyers who had sourced recommendations from a chatbot said AI had its greatest impact when narrowing and comparing options.2

Being named in an AI answer also moves buyers. In G2’s March 2026 survey:

85% think more highly of a vendor when AI includes it in an answer.3
69% chose a different vendor than they had planned because it was part of a chatbot’s recommendation.3
One in three bought from a vendor they had never heard of before.3

One counterweight comes from Wynter’s CMOs, asked a different question: which single factor most gets a vendor considered. 42% ranked word of mouth and peers first, against 10% for AI recommendations and 8% for Google Search.6 Peers still come first for those CMOs, and AI recommendations now edge out Google.

If an AI answer can move a vendor onto a list or off it, the next question is whether buyers believe what it says.

Buyers Check What AI Tells Them About Vendors

When an AI assistant helped build a buyer’s shortlist, expect the buyer to arrive with something the assistant said about you, and to want that confirmed. Of the technology buyers in TrustRadius’s survey who used AI to research a purchase, 94% fact-checked what it told them at least some of the time.1

72% checked very often or always, and the shares answering always and very often both grew from 2025.1

Grouped bar chart from TrustRadius’s surveys of technology buyers who used AI, 2025 against 2026: always fact-check, 22% and 30%; very often, 36% and 42%; sometimes, 27% and 21%; rarely, 8% and 4%; never, 6% and 2%.
Always and very often both rose, and never fell to 2%.

Trust did not rise with the checking. Only 2% of TrustRadius’s buyers trust AI always and 20% trust it very often, the same shares as in 2025.1 When they check an answer, these are the resources they name most:

Search engines, at 19%1
The AI’s own cited sources, at 11%1
Trusted or official sources, at 7%1

The doubt reaches beyond AI. 47% of the same buyers trust online resources less than they used to, against 11% who trust them more.1 The share who trust them as much as before fell from 50% to 42% in a year.1

Many would rather check with a person. Gartner surveyed 645 B2B buyers in August and September 2025:

69% prefer to validate AI-generated insights with a sales rep.4
51% say they are more likely to meet misleading information from generative AI.4
49% say they are more likely to meet it from a sales rep.4

Buyers suspect reps about as much as they suspect AI, yet still want a rep to confirm what AI told them. In G2’s 2026 buyer behavior survey, 61% use or plan to use AI agents, software that carries out a task on its own, in the buying process.2 Far fewer would let an agent make the purchase itself.

Horizontal bar chart from G2’s 2026 buyer behavior survey of more than 1,000 B2B software buyers: 47% would let an AI agent research and recommend while people make every final decision, 9% would let one buy within approved guardrails, and 2% would let one buy without pre-approval.
Nearly half would let an agent research for them; 9% would let one buy, even within guardrails.

Buyers hand AI the research and keep the decision. In 6sense’s 2025 study of nearly 4,000 buyers, almost all used large language models, yet they still averaged 16 interactions per person with the vendor they chose, one fewer than in 2024.7 Checking works where a price is published to check against, and many software prices are not.

Business Software Prices Rarely Reach an AI Answer

Understanding total cost of ownership tied for the top of G2’s list of what buyers use AI for. For business software, it is also where AI has little to go on. When a buyer asks an assistant what such a tool costs, the answer rarely carries a price, and often there is no published price to find.

Where a brand does publish its price, AI usually gets it close. Parse’s 2026 study checked AI price quotes against the pricing pages of brands, mostly in software, phone plans and financial services, and 62.8% of the 7,594 checkable quotes matched.5 In a hand check of 100 sampled quotes, 79 were real price quotes, and 82.3% of those were right.5

For business software, prices are scarce in AI answers and often missing from vendors’ own pages:

Across the 413 markets Parse measured, 6.9% of AI search answers quoted a brand price.5
In 118 of those markets, fewer than 1% of answers did, and most of them were business and enterprise software markets.5
In Dupple’s August 2026 count of 377 software tools, 126, a third, keep at least one pricing tier behind a sales conversation.9
18% of those 377 tools publish no usable price at all.9
Chief Mystery Officer
Mystery Demo
An assistant can tell a buyer what a vendor has published. It cannot tell them what the rep says when the buyer asks for a price on the first call, or whether the rep asks about budget before answering. Those two moments tell you more about how a competitor sells than its pricing page does. A rep who names a number early is selling differently from one who asks for your budget first, and no assistant can see which one you are up against.

What a Competitor Says Once a Buyer Is on the Call

Every figure above describes the market. None of them says what one competitor does with a buyer in the room:

what it quotes a buyer your size, and when it says the number
what its rep shows when asked about a feature it lacks
what it says about you once the buyer mentions your name

All three are only said on a sales call, and Mystery Demo is there as the buyer. When it maps a whole market for a team, the team receives a shared Notion board with a page for every competitor, ending in an Executive Summary for leadership. Below are that summary’s Key Findings, from our public example board, where the client and every competitor are invented.

The Key Findings section of the Executive Summary on the Mystery Demo example board: four short findings in colored boxes, on product performance, an emerging competitor, how differently the competitors price, and the compliance gate on enterprise deals, with the start of the section on where each competitor wins
Executive Summary, Key Findings: four ranked findings for leadership, on the invented example board

Each finding is a verdict a leadership team can act on, and on a real project every one traces back to the competitors’ own recorded calls. Our SaaS market entry research does this across a whole market, with every serious player mystery-shopped end to end. It costs a flat €499 per competitor, and a full landscape takes four to eight weeks.

Which competitors does an AI assistant list beside you when a buyer asks for options? Bring that list to an intro conversation, and we will plan which of their sales calls to take first.

Frequently Asked Questions

How Many B2B Buyers Use AI to Research Software Vendors?

82% of the more than 1,000 B2B software buyers in G2’s 2026 buyer behavior survey sourced software recommendations from an AI chatbot in the previous 24 months.2 In TrustRadius’s January 2026 survey, 63% of 1,862 technology buyers used AI at some point in a purchase.1

Do B2B Buyers Use AI Instead of Google?

51% of the 1,076 software buyers in G2’s March 2026 survey start their research with an AI chatbot more often than with Google,3 and 61% use the two together.3

Do Buyers Trust What AI Says About Vendors?

94% of technology buyers who used AI to research a purchase fact-checked it at least some of the time, TrustRadius found,1 and 69% of the B2B buyers in Gartner’s survey prefer to validate AI-generated insights with a sales rep.4

Does AI Change Which Vendors Make the Shortlist?

69% of the buyers in G2’s March 2026 survey chose a different vendor than they had planned because it was part of a chatbot’s recommendation.3 In G2’s later 2026 survey, AI chatbots, at 37%, sat one point behind review sites as a source shaping the shortlist.2

Can AI Tell Buyers What Business Software Costs?

Fewer than 1% of AI search answers quoted a brand price in 118 of the 413 markets Parse measured in 2026, and most of those markets were business and enterprise software.5

References

  1. TrustRadius: Beyond the Hype: The AI Bubble That Isn’t Bursting (Yet) (2026)
  2. G2: New G2 Research: AI Is Reshaping How B2B Software Deals Are Won and Lost (2026)
  3. G2: In the Answer Economy, Don’t Win the Click: Win the Answer (2026)
  4. Gartner: Gartner Survey Finds 69% of B2B Buyers Turn to Sales Reps to Validate AI-Generated Insights (2026)
  5. Parse: How Accurate Are the Prices AI Quotes for Brands? (2026)
  6. Wynter: How B2B SaaS CMOs Buy Software in 2026
  7. 6sense: 2025 B2B Buyer Experience Report
  8. Responsive: GenAI Overtakes Search for a Quarter of B2B Buyers, Signaling a Major Shift in Enterprise Purchasing (2025)
  9. Dupple: One in Three Software Vendors Hides Its Price: We Counted Across 377 Tools (2026)

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