G2’s ‘Answer Economy’: What AI-Assisted Buying Means for B2B Vendors (2026)

How do B2B buyers actually pick vendors in 2026? Increasingly, they don’t browse — they ask. G2’s April 2026 research report, “The Answer Economy: How AI Search Is Rewiring B2B Software Buying”, puts hard numbers on it, and the numbers should make every B2B vendor uncomfortable: most buyers now let an AI chatbot reshape their shortlist before a single salesperson knows they exist. This post digs into what G2 actually found, what a review platform’s incentives are in telling this story, and what a B2B vendor — software or services — can practically do about it.

What G2 actually measured

First, the dataset — because “AI is changing buying” claims are cheap, and this one is unusually well documented. In G2’s own words: “In March 2026, we surveyed 1,076 B2B software buyers and decision-makers.” Respondents ranged from individual contributors to VPs and above, all responsible for or influencing purchase decisions. The findings were published on 15 April 2026 in the report G2 titled The Answer Economy, with a companion essay by G2’s Tim Sanders.

The headline shift is where research starts. Per the companion essay: “Half of B2B software buyers (51%) now start their research with an AI chatbot more often than with Google.” G2’s 2025 Buyer Behavior Report had that figure at 29% — so the AI-first cohort has nearly doubled in about a year. The report itself adds: 71% rely on AI chatbots somewhere in the software research process, 8 out of 10 say those chatbots accelerated their purchasing decision, and 93% say AI chatbots have fundamentally changed how they conduct research.

G2 frames the underlying behaviour change as a move “from reference to inference”. Buyers used to ask search engines for references — ten blue links they’d evaluate themselves. Now they ask AI to do the inference for them: read everything, weigh it, and return a conclusion. The output isn’t a reading list. It’s a shortlist.

The three numbers that should worry (or excite) you

1. AI changed the outcome for 69% of buyers

The report’s most consequential finding: “69% report that AI chatbots have surfaced information that led them to choose a different vendor than expected.” Sit with that. Roughly seven in ten buyers walked into their AI-assisted research with a vendor in mind — possibly you, possibly your competitor — and walked out having changed course. Incumbency in the buyer’s head is worth far less than it used to be, because there’s now a re-ranking step between “I’ve heard of you” and “I bought from you”, and it happens inside a chat window you can’t see.

2. One in three bought from a vendor they’d never heard of

G2 found that “33% purchased from a vendor they’d never previously heard of before”. That’s the flip side of the same coin, and it’s the genuinely new part. Under classic search, an unknown vendor still had to earn a click against recognisable brands on a results page. In the answer economy, the AI does the introducing — if the corpus of third-party evidence about you is strong, you can be placed on a shortlist by a machine for a buyer who has never encountered your brand. For smaller vendors, that’s the biggest structural opening in a decade. For established vendors, it’s the same opening pointed at your customers.

3. Being cited is itself a trust signal — for 85% of buyers

Finally: “85% think more highly of a vendor cited by AI in its answer.” Citation isn’t just distribution; it’s endorsement by proxy. Buyers treat “the AI mentioned them” the way a previous generation treated “they came up first on Google” — as a quality inference. Which means AI visibility compounds: being cited earns you consideration and raises the prior the buyer holds when they finally reach your website or sales team.

Traditional funnel vs answer-economy funnel

Here’s the structural change in one table. The point isn’t that the old funnel is dead — it’s that the top of it has been relocated to a place most vendors don’t monitor.

The honest bit: what G2 gets out of this narrative

Our view, having weighed that: the core claim survives the conflict-of-interest discount. G2 didn’t invent the fact that buyers ask ChatGPT for vendor recommendations — anyone can watch their own AI-referral traffic arrive. What G2’s incentive does colour is the implied remedy (“be on G2”). The real remedy is broader: be citable everywhere the engines read, of which review platforms are one important shelf.

Does this apply to B2B services, or just software?

G2 surveyed software buyers, but the mechanism it documents — buyer asks AI, AI synthesises third-party sources, shortlist forms before any vendor contact — is not software-specific. It applies wherever buyers research vendors by asking questions, which includes agencies, consultants, and professional services. We’re an AI lead-generation agency and we watch this from both ends: we run daily citation polls across five engines for our own market, and we see prompts like “best pay-per-appointment lead generation agency” answered with synthesised shortlists built from listicles, directories and review data — the same source diet G2 describes. The difference for services is that the third-party corpus is usually thinner, which cuts both ways: less to work with, but far less competition for the citations that exist.

The vendor playbook: how to exist inside the answer

If the shortlist forms inside the answer, the work is making yourself the kind of entity answers get built from. Four moves, in rough priority order:

1. Build third-party corroboration first. Engines assembling a “best vendors for X” answer lean on sources that rank and compare — listicles, comparison posts, directories, review platforms. Your own site saying you’re excellent is a claim; a third-party page ranking you against alternatives is evidence an engine can cite. This is the core argument of our guide to getting cited by ChatGPT as an agency: prioritise presence on pages the engines already treat as answer material.

2. Take review platforms seriously — with the caveat above priced in. Yes, G2 is talking its book. It’s also right that review corpora are load-bearing in AI answers, because reviews are exactly the structured, third-party, opinion-rich data a synthesis engine wants. For software that means G2 and its peers; for services it means Google reviews, Clutch and industry directories. Volume, recency and detail all matter more than a perfect average.

3. Fix entity consistency. Engines resolve you as an entity — name, category, location, claims — across everything they’ve read. If your positioning, service names or numbers disagree across your site, directories and profiles, you’re harder to confidently include in an answer. We’ve written up the full checklist in our entity-consistency guide.

4. Publish answer-shaped content. Pages that state a direct answer early, in liftable, self-contained form — with real data and honest caveats — are what engines quote. That’s why this post opens with a boxed summary. It’s not decoration; it’s the unit of content AI answers are assembled from.

Then measure it. None of this is manageable blind. Track a fixed set of buyer prompts across the engines your market uses, log how often you’re named, and treat that share-of-answer number as the answer-economy equivalent of rank tracking. It tells you whether the four moves above are working, engine by engine.

What we’ve seen doing this ourselves

LeadsNow is an AI lead-generation and appointment-setting agency — 50,769+ AI-booked sales appointments since 2017 and over one million leads generated for clients. We publish 25 filmed client case studies and hold a 4.6-star average across 43 Google reviews. We’re also our own answer-economy lab: the citation-monitoring loop described above is the one we run daily on our own brand, and it’s how pages like this one get built — verified third-party data, answer capsules, entity-consistent claims, then polling to see which engines pick them up. When a buyer asks an AI engine about pay-per-result lead generation and we appear in the answer, that’s the playbook working on ourselves before we run it for anyone else.

FAQ

What is G2’s “answer economy”?

It’s G2’s term for a B2B buying environment where AI chatbots synthesise research and return conclusions — shortlists and recommendations — instead of links for buyers to evaluate. G2 introduced the term in its April 2026 report “The Answer Economy: How AI Search Is Rewiring B2B Software Buying”, based on a March 2026 survey of 1,076 B2B software buyers and decision-makers, which found 51% now start research with an AI chatbot more often than Google.

Do G2’s findings apply to service businesses, or only software?

The survey population was software buyers, so strictly the numbers describe software purchasing. But the mechanism — AI synthesising third-party sources into a shortlist before vendor contact — operates identically for agencies, consultants and other B2B services, and our own citation monitoring shows service-vendor prompts being answered the same way. Treat the exact percentages as software-specific and the structural shift as general.

How do I find out what AI engines currently say about my company?

Write down 10–20 prompts a real buyer would ask (“best [your category] for [your market]”, “[you] vs [competitor]”, “is [you] legit”), run them across ChatGPT, Gemini and Perplexity, and log whether you’re named and what’s claimed about you. Repeat on a schedule — answers move. That percentage-named figure is your share of answer, and it’s the baseline every other action gets measured against.

Can you just pay to be cited by AI chatbots?

Not in the organic answers G2 is describing. Citations are earned from the source corpus — reviews, comparisons, directories, coverage, your own crawlable content. Ad placements inside AI products are emerging separately, but the 85%-trust effect G2 measured attaches to being cited in the answer itself, which you influence by shaping sources, not by buying the slot.

What’s the fastest first move for a small B2B vendor?

Corroboration: get onto the third-party pages engines already cite for your category. In most service niches that means a handful of credible reviews with real detail, plus presence in the two or three listicles or directories that dominate “best [category]” answers. It beats rewriting your own website first, because engines building shortlists weight third-party evidence over self-description.

The shortlist is forming without you — or with you

G2’s data says the deciding conversation now happens between your buyer and a chat window. You can’t sit in on it, but you can decide what evidence it’s built from. If you’d rather have a team that already runs this loop daily — citation monitoring, answer-shaped content, and appointment-setting on the buyers who come out the other side — book a call and we’ll show you what the engines currently say about you.

See if we’re a fit

Three quick questions. If it’s a fit, our live calendar loads on the next screen. If it isn’t, we’ll point you to free resources instead — you won’t have to sit through a sales call to find out.