A B2B buyer researching a vendor today rarely does it in a single channel. They might ask an AI tool for a quick overview, then switch to Google to dig into specifics, then ask an AI tool again to summarize what they’ve found. Understanding where Google fits and where AI chat fits in that journey — and building content for both — matters more than picking one over the other.
Where Does the B2B Buyer’s Journey Start Now?
Increasingly, it starts wherever is fastest for the question at hand. Broad, exploratory questions — “what’s the difference between X and Y,” “who are the main vendors in this category” — are migrating toward AI chat tools, which can synthesize an answer in seconds instead of requiring the buyer to open and compare five separate pages. Specific, comparison-heavy, or deeply researched questions still tend to end up in Google, where a buyer can click through to primary sources, pricing pages, and reviews directly.
What the Research Says About AI Tool Usage in B2B Buying
Forrester’s 2026 Buyers’ Journey Survey found that a substantial majority of B2B buyers — 94% in their sample — report using AI tools somewhere in their vendor research process. Averi’s citation analysis found AI tool usage specifically for vendor shortlisting reported by roughly 73% of buyers surveyed. G2’s research, reported via PR Newswire, found that about half of buyers now start their vendor research with an AI chatbot rather than a traditional search engine. These numbers vary across studies — methodology, sample, and exact question wording all shift the reported percentage — but the directional signal across all of them is consistent: AI tools have moved from a novelty to a standard part of the early-stage B2B research process. For the full breakdown of which tools buyers actually use and for what, see Which AI Tools B2B Buyers Are Actually Using to Research Vendors in 2026.
A Realistic Picture of the Combined Journey
Rather than a strict linear path, think of the modern B2B buyer’s journey as a loop between AI chat and traditional search. A buyer might start with an AI tool to get oriented on a category, use Google to verify and dig deeper into specific vendors that came up, return to the AI tool to ask a follow-up question, and eventually land on a vendor’s site directly to check pricing or book a call. Content built for only one leg of that loop — only optimized for Google rankings, or only optimized for AI citation — misses the buyer at some point along the way.
What This Means for Content Strategy
Content needs to work in both modes simultaneously, which is less of a tradeoff than it might sound. The same qualities that earn a Google ranking — genuine expertise, clear structure, technical health — are also what earn AI citation, with the added requirement that content open with direct, self-contained, complete answers rather than build slowly to a point. Building for one well tends to build for the other; the failure mode is building for neither, with thin, generic content that doesn’t rank well and doesn’t get cited either. Google’s AI Overviews specifically are also reshaping this dynamic — see How AI Overviews Are Changing B2B Search for what that means for click-through behavior.
A Worked Example
Consider a buyer evaluating fractional CMO options. They might first ask an AI tool something like “what does a fractional CMO actually do differently from an agency,” getting a synthesized answer that mentions a few considerations. If that answer references or draws from a specific vendor’s content, that vendor gets an early visibility win without a click. The buyer then goes to Google to search “fractional cmo pricing” or a similar term to dig into specifics, where the vendors with strong, well-structured content on that exact question earn the click. The same vendor showing up credibly at both stages compounds trust across the journey in a way that showing up at only one stage doesn’t.
Should Vendors Prioritize One Channel Over the Other?
Not typically, and especially not for a founder-led business without a dedicated team to run two entirely separate content programs. The more efficient path is building content to the answer-first, well-structured standard that serves both channels at once, rather than maintaining a fundamentally different content strategy for each.
Quick Answers
Are buyers abandoning Google for AI chat tools? Not entirely — most research shows a blended journey where both are used at different stages, not a full replacement.
How many B2B buyers use AI tools in vendor research? Estimates vary by study, roughly 50–94% depending on methodology and exact question, but the consistent signal is that it’s now a mainstream part of the process.
Does content need to be built differently for AI chat vs. Google? Mostly no — well-structured, answer-first, genuinely expert content tends to perform in both channels.
This piece is part of the SEO & AEO hub, covering how B2B buyer behavior is shifting across search and AI channels.