In the Answer Economy, Don't Win the Click — Win the Answer

When it comes to the buyer journey, there have been three eras of great compression where discovery showed up at the moment of true need. The yellow pages compressed the offerings of a market into a single book. Google compressed it into the first page of results. Now we're watching the third compression happen in real time, and this one is faster and more disruptive than either of its predecessors. AI chatbots have compressed weeks of vendor research into a single prompt.

You don't buy the biggest ad placement or earn the top search result anymore. You win the answer.

G2 has been tracking how software buyers research and choose software for over a decade. This is, by far, the most significant behavioral shift we've seen.

In March 2026, we surveyed 1,076 B2B software buyers and decision-makers to quantify their shift in behavior. Our new report, The Answer Economy: How AI Search Is Rewiring B2B Software Buying, was published today.

Here's what the data shows, and what's at stake if you ignore it.

The starting line has forked

Half of B2B software buyers (51%) now start their research with an AI chatbot more often than with Google. When we published our 2025 Buyer Behavior Report, that number was just 29%. 71% rely on AI chatbots at some point in their research process.

Buyers haven't abandoned Google. In fact, 61% told us they use AI search alongside Google in tandem. But, half of the market now uses AI chatbots to jump start their research.That means the first impression of your brand is increasingly formed by what ChatGPT says about you, rather than what the buyers sees on your website or hears in a sales call. That changes everything about how vendors need to think about discoverability, and this behavior isn't going away.

Over half (53%) of buyers say research done with AI chatbots is more productive than traditional search, up from 36% just seven months ago. That's not merely a curiosity spike. Buyers can sense they're getting better and faster outcomes, and when that shift happens consistently, it becomes permanent behavior.

AI is building the shortlist

The fundamental change we're seeing is AI taking the wheel when it comes to curating a buyer's shortlist. Buyers aren't asking AI chatbots to point them toward sources. They're telling them to synthesize everything and return the best options. That shift - from reference to inference - means it's directly changing which vendors are considered.

Simply being mentioned by an AI chatbot carries real weight; 85% of buyers think more highly of a vendor when AI includes them in an answer. That's likely because they trust the validation work that the chatbot has done to find trust signals about your brand. But the inverse is equally true: if AI leaves you out of the response, the buyer may not even know you exist.It all comes back to being the most trusted source.

AI chatbots are now the top source influencing buyer shortlists, ahead of review sites, analyst firms, and vendor websites - and 69% of buyers chose a different vendor than initially planned, simply because it was part of the chatbot's recommendation. Perhaps just as shocking to marketing leaders is that one in three purchased from a vendor they'd never previously heard of. Winning the answer in AI chat now directly equates to the final decision.

Today's buyer isn't casually browsing. They're running head-to-head vendor comparisons and getting beyond the basic education-based prompts that we used to expect.

One of the most interesting takeaways from this report is that 41% of B2B buyers are using Deep Research tools for structured software evaluations. That's significantly more than anybody expected, but it makes sense. A Deep Research report returns between 10-20 pages of insights, depending on your level of prescription, compared to maybe a page-and-a-half of results with Extended Thinking modes. That depth is a completely new landscape that marketers have to think about because it deemphasizes citations. Winning a background citation in a 15 page report doesn't win you a deal. Winning the answer means being one of the recommended brands at the end of the report.

Discovery, short listing, and evaluation stages are unfolding inside AI, not on your website. And buyers are arriving with commercial intent from the very first prompt.If AI chatbots aren't naming you in a recommendation, you're not in the running.

Reviews are what AI and buyers trust

Buyers trust AI recommendations. But they want proof.

When asked what most increases their confidence in an AI chatbot's answer, citations from a software review site stood out as their top trust signal. That matters greatly because reviews don't just influence buyers directly; they supply the large language models (LLMs) with trust signals about your brand.

Things like your positioning in a G2 category, or the annual Best Software Awards, shape what AI chatbots think about your brand and help determine whether your company is named in a response to a buyer with commercial intent.

Review influence doesn't stop at discovery, either. Review sites are the only source besides AI chatbots that gains influence deeper into the funnel - growing more important as buyers move from consideration to decision. This is corroborated by recent studies from Growth Advisor, Kevin Indig, who showed that bottom-of-funnel AI answers are built on reviews. AI chatbots build the shortlist; review sites validate it. The higher the stakes, the more buyers rely on both.

As Kevin puts it: "Review sites are most effective at the bottom of the funnel. When software buyers reach the evaluation stage of their journey, the recommendations they see from AI increasingly stem from trusted peer proof sourced from platforms like G2. With G2's now significant influence on LLM citations and AI search visibility, there is a strong case for vendors to maintain a steady presence across the G2 ecosystem."

There's another dimension worth noting: buyers treat consistency across chatbots as a trust signal. When ChatGPT, Gemini, and Claude describe a vendor the same way, it builds confidence. If a chatbot's answer conflicts with established knowledge, or omits something the buyer has familiarity with, they dig deeper to find out which version is true. Inconsistency is a red flag - and it's one more reason why the signals you put into the ecosystem matter.

A thin review presence, or a poor position in a G2 category, doesn't just cost you credibility with buyers. It gives AI chatbots less to be confident about, which means they are less likely to recommend you over another brand.

What we're hearing from GTM leaders

Zooming out, we wanted to know how vendors are responding, so we interviewed 39 B2B software marketers globally about how they're adapting to the rise of AI search.

Most know it matters. Few are fully prepared. Nearly every marketer we spoke with called AI discoverability a pipeline must-have - then described themselves as early-stage or still figuring it out. For many, the lightbulb moment came from seeing their brand missing from an AI-generated answer while a competitor showed up instead.

The analytics are already telling the story. Organic search traffic is down while LLM-sourced traffic is trending up. And the most proactive marketers have turned prompt engineering into a DIY competitive intelligence practice - regularly typing buyer queries into ChatGPT, Gemini, and Perplexity to see who shows up and who doesn't.

One behavior helping brands make headway is prioritizing review recency and volume. As more and more vendors are adding AI capabilities, like agents, the models are beginning to elevate the value of recent reviews. Marketers are responding by coaching customers to write more frequent, context-rich reviews that speak to specific problems solved and alternatives considered.

Overall, the instinct to act is there, but the strategy isn't yet. Adaptation is happening, but it's largely fragmented. The gap between knowing AI discoverability matters and actually building for it is where the biggest opportunity sits.

How to win the AI answer

AI chatbots don't form opinions on their own. They comb through training and retrieval data for pattern matches, and then seek trust signals to gain confidence before they make a recommendation.The vendors who win in the AI search era will be the ones who invest in that trust infrastructure.

Three places to start:

• Own your external message. AI chatbots draw from a much wider surface than your website, including your G2 profile, social media, and more. You can't control everything AI says about your brand, but you can control the inputs. Accurate, specific, and consistent positioning across every profile you own is a direct competitive advantage.
• Win on G2. Reviews alone aren't a silver bullet for winning the answer, but they certainly help grease the wheels. Being included on a G2's Best Software Awards list is a top trust signal that AI chatbots look for. So is winning your G2 category. Both of those things are powered by review recency and volume. So, continuously solicit reviews at every stage of the customer journey.
• Build an AEO strategy. Most teams are still measuring what they've always measured - page rankings, domain authority, and click-through rates. Those signals don't tell you how ChatGPT describes your company, or whether Gemini includes you in its answers. Identify the prompts your buyers are actually asking and create content that directly addresses those questions. Early movers are building a structural lead that late movers will spend years trying to close.

Welcome to the answer economy

These findings are just the surface. The full report goes much deeper into how AI is influencing software research.

The buyers in your pipeline are already using AI to evaluate you. The question is whether you will be in the answer when they look.

To discover additional insights from this year's survey, head over to The Answer Economy: How AI Search Is Rewiring B2B Software Buying.