How B2B Buyers Use AI Search to Find Vendors and Products

There is a version of the B2B sales process most eCommerce and marketing leaders still operate on: a buyer searches Google, finds a few vendors, visits the websites, and eventually reaches out. SEO gets you found, the site converts them, and the conversation starts.

That model is not wrong. It is just increasingly incomplete.

A growing body of research shows that B2B buyers are now using AI tools, specifically ChatGPT, Perplexity, Google Gemini, and similar platforms, to do the vendor discovery work that used to require visiting multiple websites and reading through pages of content. The shortlist that emerges from that process often determines the outcome of the deal before a seller is ever contacted. If your brand is not visible in those AI-generated results, you may not be in the consideration set at all.

How Far Into the Buying Journey B2B Decisions Are Made Before Vendor Contact

The self-directed nature of B2B purchasing research is not new. What has changed is how much of that research now happens inside AI tools rather than across traditional search and websites.

6sense's 2025 B2B Buyer Experience Report, which surveyed nearly 4,000 B2B buyers, found that 95% of the time the winning vendor is already on the buyer's Day One shortlist, and roughly 80% of deals are ultimately won by the vendor who held the "pre-contact favorite" position. That means the vendor selection is largely complete before any seller conversation happens.

Forrester's 2025 survey of more than 4,000 buyers puts the moment of first vendor contact at 61% through the buying journey, meaning well over half of the research and evaluation happens independently. A separate November 2025 survey of 1,500 B2B buyers worldwide, reported by Marketing Charts, found that 94% of buyers currently use AI as part of their buying process. Of those, the most common use cases were summarizing and comparing options (61%), analyzing proposals or pricing (56%), and getting overviews of potential vendors (50%).

That last figure is worth sitting with. Half of B2B buyers are using AI tools to form their initial impressions of vendors, before visiting a website, before reading a case study, and before speaking with a sales rep.

Which AI Tools B2B Buyers Are Actually Using for Vendor Research

The same November 2025 survey found that 40% of B2B buyers now start their vendor research with AI tools, a figure that is nearly identical to the 41% who still start with traditional search. Among executives specifically, AI tools are more frequently turned to first than traditional search.

The platforms doing most of the work are ChatGPT and Google Gemini, though Perplexity is growing in usage for research-specific queries precisely because it returns sourced, citable answers rather than generated text without attribution. A brand visible in one platform's outputs may be entirely absent from another's, which makes platform-specific visibility a real consideration rather than a theoretical one.

What B2B Buyers Are Asking AI Tools During Vendor Evaluation

Understanding the specific use cases matters, because it points directly to the type of content that needs to exist on your site to be cited.

The Marketing Charts survey data shows buyers are using AI tools to:

• Summarize and compare vendor options
• Analyze proposals and pricing structures
• Get overviews of vendors they have not yet visited
• Draft evaluation criteria and questions
• Validate claims and reviews they encounter

These are not casual browsing behaviors. They are structured research tasks that previously required a buyer to visit multiple vendor websites, download multiple PDFs, and synthesize the information manually. AI tools collapse that process into a single query with a synthesized answer and a short list of cited sources.

The implication for visibility is direct. A buyer asking ChatGPT to compare eCommerce agencies that specialize in B2B manufacturing will receive an answer. That answer will cite a handful of sources. If your content does not address the specific questions a buyer at that stage is asking, in a way that AI tools can extract and cite, you will not be in the answer.

Why AI-Referred Visitors Convert at Higher Rates Than Organic Search

One data point worth noting for anyone skeptical of how much this matters commercially: a conversion rate analysis by Exposure Ninja published in April 2025 found that AI search traffic converts at 14.2% compared to 2.8% for Google organic search, a difference of roughly 5x.

The reason is intuitive once you understand how these buyers arrive. A buyer who finds your brand through an AI-generated vendor comparison has already gone through a synthesis step. The AI has processed your content, determined it is relevant to their query, and cited it as a source worth exploring. The buyer who clicks through has pre-qualified intent. They are not browsing. They are evaluating.

This is also consistent with what 6sense found about pre-contact favorites: the buyer who reaches out often already has a leaning. If your brand appeared in the AI-generated answer that shaped their shortlist, you start that conversation from a materially stronger position.

What This Means for How B2B eCommerce Brands Build Visibility

The practical implications flow directly from how these tools work. AI systems select sources based on how clearly and specifically a piece of content answers a buyer's question. Thin product pages, generic category copy, and brand content written for awareness do not perform well in these contexts. Content that directly addresses buyer evaluation questions, is organized so AI systems can extract specific answers, and cites authoritative sources within the content itself, performs significantly better.

For B2B brands with complex products, large catalogs, or technical specifications, this often means investing in content that addresses the questions buyers are asking during evaluation: how you compare to alternatives, what your implementation process looks like, what types of environments you have worked in, and what outcomes your clients have seen. These are the queries that buyers are running through AI tools, and the vendors whose content answers them clearly are the ones who appear in the results.

The window to build this visibility before most competitors take it seriously is narrow. According to Yext's 2025 research, only 22% of marketers are currently tracking AI visibility and traffic, and only 25.7% plan to develop content specifically for AI citations. That gap between where buyers are and where most marketing teams are focused represents a genuine first-mover opportunity for brands willing to move now.