B2B buyers make their vendor shortlists before the research begins — and the evidence points to an emotional connection. Now, AI is making the influence window even narrower.
“No one ever got fired for choosing IBM.”
That line is decades old, yet remains relevant today. What that statement conveys is something often overlooked regarding how B2B purchasing decisions actually get made: rather than a comment on IBM’s product superiority, it’s about emotional safety.
Picture the moment a recommendation goes to the C-suite: The CFO asks, “Why this vendor?” and the room suddenly goes quiet. In that instant, nobody is thinking about your roadmap slide. What they’re really thinking is whether this choice will make them look strategic, reckless, or replaceable. Will this decision cement their reputation as the G.O.A.T., or turn them into a (scape)goat if things don’t go exactly as planned?
A study of more than 3,000 B2B buyers by Google and CEB (now Gartner) supports the idea that emotions are critical in B2B purchase decisions. The study found that, on average, B2B customers are significantly more emotionally connected to their vendors than everyday consumers are to the brands they buy personally. While this may seem counterintuitive, it makes sense when considering the stakes involved. Business purchases often involve substantial risk, and the consequences of a poor decision can affect your team, your budget, even your job. This can feel personal in a way that most B2B marketing doesn’t fully acknowledge.
When it comes to B2B marketing, it’s never too early to build those emotional connections.
The “Day One list” is built before the research starts
A 2022 study from Bain and Google found that 86% of B2B buyers begin the purchase process with a shortlist of vendors already in mind (the “Day One list”). Critically, 92% of those buyers ultimately selected a vendor from that initial consideration set. A 2024 survey of more than 600 B2B buyers by 6sense produced nearly identical results: 86% selected a vendor from their Day One list, with an average of 3.5 vendors on it before any active research began.
This means that by the time a potential customer reaches your website, downloads a white paper, or agrees to a demo, the real selection may have already been made. The research process often confirms the shortlist, rather than builds it.
So what actually does build the list? According to the Bain/Google study, prior experience with the vendor and recommendations from colleagues are the leading paths for inclusion on the list. Buyers commonly expand their initial consideration set by consulting analyst firms like Gartner, trade publications, and peer review platforms. The list is largely built on reputation, familiarity, and trust — before a buyer has reviewed a single data sheet.
Features justify the choice. They rarely make it.
The same CEB/Google research found that personal value — career confidence, reduced professional risk, pride in one’s choice — carries roughly twice the weight of business value in final purchasing decisions. Buyers who perceived personal value were approximately 50% more likely to buy, and eight times more likely to pay a premium for a comparable product.
Marketing effectiveness researchers Les Binet and Peter Field found that moving away from rational messages toward emotional ones improved advertising effectiveness in nearly every scenario except short-term direct response. That held in B2B as well as consumer categories.
None of this argues against clearly communicating product capabilities and features. Rational information helps buyers justify a choice they are already inclined to make. The practical question is whether your messaging speaks to the person making the decision, not just the organization. “24/7 monitoring” answers a technical question, while “You’re not the one who gets the 2 a.m. call” speaks to something a buyer will feel.
An analysis of B2B advertising from 2020–2025 found that emotionally resonant campaigns consistently drove stronger brand equity and long-term performance. The correlation between emotional ad quality and brand strength held over time — and when emotional quality declined for a brand, its brand strength metrics followed.
The window is getting smaller
B2B buyers have always formed impressions before engaging vendors. What’s changing is how quickly that process now happens, largely due to the rapid adoption of AI.
Bain’s 2025 research on zero-click search found that click-through rates declined by as much as 30% in some B2B categories since AI-generated summaries became standard in search results. Semrush data covering billions of visits across more than 50,000 sites found that organic search declined in 13 of 17 industries in 2025. The only industries where organic search grew (beauty, apparel, food, and retail) are largely driven by visuals. To be fair, organic search remains the dominant traffic source overall, but AI traffic continues to dramatically outpace traditional search growth.
These shifts can have a profound impact on brand visibility. The mid-funnel discovery moments that historically built brand familiarity, such as a buyer clicking through to a thought leadership piece, are happening less frequently. This is because AI summaries answer surface-level questions without sending the buyer anywhere.
The buyers who do click through from AI tools arrive with a different mindset. Semrush’s data found that AI search visitors convert at approximately 4.4X the rate of traditional organic visitors in B2B contexts, likely because the AI has already done the heavy lifting: They arrive having read a synthesized shortlist and an understanding of how brands compare on critical dimensions. They arrive closer to a decision.
What’s critical to understand is that those AI tools tend to synthesize what the broader ecosystem — reviews, industry publications, customer stories, community conversations — says about a brand. AI tools are far more likely to pull from what others say about you than what’s in your sales deck.
The good news for challenger brands with savvy AEO: it’s common for LLMs to introduce additional brands that might fit the request. For example, the response to a comparison of software vendors might introduce one or two brands with strong or growing authority (“You asked about A,B, and C, but you might also consider D and E…”). Brands with strong algorithmic trust and earned media presence can enter the conversation even when their paid media spend is comparatively low.
The bottom line is that B2B marketers need to rethink the concept of brand visibility and how we measure it across AI search tools. AI-generated brand mentions, citations, sentiment, and answer share of voice (ASOV) are rapidly becoming new baseline metrics
Four questions worth asking
Rather than a framework, the research points to a few practical gaps worth examining:
1. Are you building the brand when buyers aren’t looking?
The Day One list forms during “out-of-market” periods — months or even years before an active purchase cycle begins. Binet and Field’s effectiveness research consistently shows that long-term brand investment outperforms short-term activation, yet most B2B budgets skew heavily toward the latter. Reaching buyers before they’re ready isn’t inefficiency. It’s how you get on The List.
2. Would a buyer describe you in emotional terms?
How do they describe what it feels like to work with you? Being perceived as trustworthy, responsive, and low-drama is likely to have a greater impact than any feature claim. AI tools are increasingly drawing on such sentiments when constructing a category summary.
3. Does that emotional fingerprint show up where buyers and AI actually look?
If the most credible things people say about your company live only in a sales presentation, they’re largely invisible to the process described above. Reviews, case studies written from the customer’s perspective, and community contributions are the sources that shape both peer consensus and AI-generated summaries.
4. Are you measuring what matters?
Traditional SEO-related metrics such as CTR, campaign landing page views and paid ROAS are still highly relevant. However, emerging KPIs such as AI citation share, AI Share of Voice (ASOV) and AI Recommendation Rate are increasingly critical for a holistic understand of campaign effectiveness.
A note on what this doesn’t claim
The evidence for emotional marketing in B2B is well-established across multiple research programs spanning nearly two decades. The claim that AI tools specifically amplify emotional signals more than rational ones is less settled, since the research is still early. What we can say is that AI amplifies third-party consensus, and that consensus is shaped by customer experience. The mechanism is indirect, but the direction appears consistent.
The evidence —both documented and anecdotal — suggests the window in which a B2B brand can influence a buying decision is shrinking. The Day One list forms earlier. Research happens faster. AI provides shortcuts to comparisons that didn’t exist a few years ago. A brand that has already built emotional credibility (trust, peer advocacy, a clear sense of what it feels like to be a customer) has a structural advantage over one that’s still waiting for the buyer to arrive before making its case.
What’s your experience? Have you seen emotional brand investment translate into commercial success, or does the rational case dominate your conversations?
Jeff Cushing is the founder of Aperture Insights, a research and strategy consultancy specializing in marketing intelligence and brand measurement.