How B2B buyers use AI search and what it means for your brand.

The enterprise buyer researching your category right now is not on Google. They are asking ChatGPT which vendors are worth talking to. If your brand is not in that answer, you are not in the consideration set. and you may never know it happened.

What the research actually shows

The shift in B2B research behaviour is not a forecast. It is already happening and the data is clear.

The 93% figure is the most important one for B2B brands to internalise. AI search is not driving traffic the way Google does. The AI answer itself is often the entire discovery moment. the moment where a brand is evaluated, accepted or rejected, and either added to or excluded from a mental shortlist. The website visit, if it happens at all, comes after the decision has already been shaped.

Where in the buying journey AI appears

B2B buyers use AI tools at different stages of their research. The pattern that emerges from watching how procurement teams and marketing directors actually use these tools is roughly this:

Category research (awareness stage)

A buyer who does not yet know what solution they need uses AI to understand the landscape. "What is owned media and why does it matter for enterprise brands." "What are the main approaches to B2B content marketing." These queries are not commercial yet but they are where category definitions get set. A brand that appears in these answers gets included in the mental framework the buyer uses for everything that follows.

Vendor evaluation (evaluation stage)

Once a buyer knows what they need, they use AI to identify who provides it. "Best owned media consultancy for enterprise B2B Australia." "Top GEO agencies." "Who does generative engine optimisation well." These are the queries where shortlists form. A brand absent from AI answers at this stage does not make the list. A brand present and described positively is already part of the conversation before anyone has visited the website.

Comparison and qualification (comparison stage)

Buyers use AI to run comparisons and surface objections. "In-house vs agency for owned media." "What should I ask a GEO agency." "What does a GEO programme actually include." Brands that have structured comparison content, FAQ schema on their solution pages, and case studies formatted for AI extraction appear in these answers. Brands without that content do not. even if they could win the comparison.

Why this matters differently for B2B than consumer brands

Consumer AI search is often transactional. Which restaurant, which product, which service near me. B2B AI search is evaluative. Which vendor, which approach, which partner for a significant strategic decision. The stakes are higher, the research is deeper, and the window between discovery and decision is longer.

This means the quality of how a brand is described in AI answers matters more in B2B than consumer. A brief mention is less useful than a specific, credible, citable description. A neutral sentiment is less valuable than a positive one. A late position in the response is less powerful than an early one. The nuance of AI citation performance matters more when the buyer is using those answers to make a serious decision.

It also means that the damage from bad GEO. being described inaccurately or incompletely by AI. is more consequential in B2B. An AI that describes your consultancy as a software product, or your enterprise offering as a SMB tool, or misattributes your specialisation, is not just failing to help you. It is actively working against you at the moment your buyer is forming their opinion.

What B2B brands need to do differently

The fundamentals of GEO apply to B2B as much as any other sector. entity consolidation, structured content, external authority signals, schema markup. But B2B brands have two specific advantages worth building on.

First: case studies. B2B companies typically have specific, provable outcomes from client work. AI systems extract and cite specific results. A case study that leads with "increased pipeline by 40% in 90 days" is more citable than one that talks about "driving meaningful outcomes for our client partner." Restructuring existing case studies for AI extractability is one of the highest-return activities in a B2B GEO programme.

Second: Clutch and review platforms. AI systems corroborate brand claims by looking for external sources. For B2B services, Clutch is one of the most cited platforms across every major AI system. A strong Clutch profile with structured, specific reviews describing your work, your approach, and your results is an external authority signal that carries significant weight.