B2B Shortlists Are Decided Before Buyers Ever Search, Analysis Finds

A new analysis published by Search Engine Journal on 22 September 2026 argues that B2B vendor shortlists are largely settled before a buying group runs its first formal query, as large language models (LLMs) increasingly mediate the early stages of buyer research.

The piece, authored by Alexander Kesler, founder and CEO of INFUSE, contends that a concept the author calls "Day Zero" — covering all brand exposure and research that occurs before any tracked buying activity begins — now determines which vendors are considered at all, rather than simply how they rank once a buyer searches.

AI Is Reshaping the Pre-Search Window

According to the analysis, 94% of B2B buyers now report using LLMs that summarize, compare, and recommend vendors as part of their research process. Despite this, Kesler notes that only 21% of marketers say they treat answer engine optimization (AEO) as a brand discoverability initiative, suggesting that competitive pressure in this area remains relatively low.

The analysis further reports that 87% of buyers say brand familiarity influences who makes their shortlist, and that once a shortlist is set, 95% of deals go to a vendor already on it — figures the author uses to frame early brand presence as close to determinative.

Buying Groups Research Independently

Kesler highlights the multi-stakeholder nature of B2B purchasing as a compounding factor. Citing data from the INFUSE Insights Report: Voice of the Buyer 2026, the analysis states that a buying decision now involves an average of nine stakeholders, each forming a view privately and with the assistance of AI tools before the group convenes.

The author argues that most AEO strategies fail to account for this dynamic, typically optimizing content for a single buyer persona while leaving other stakeholders to draw their own conclusions from whatever they find independently. Kesler describes the alternative as building a "trust architecture" — a content library structured by stakeholder role rather than volume.

AEO Limitations and the Instability of AI Optimization

The analysis cautions that AEO remains an immature discipline. Kesler writes that measurement within it "remains unstable, and frequently overstated," and that techniques capable of earning AI citations in one quarter can stop working the next without explanation. He also notes that 19% of buyers using AI tools say they feel less confident making decisions as a result — a dynamic he suggests pushes uncertain buyers back toward vendors they already recognize.

On the relationship between AI-generated answers and underlying search quality, the analysis references Google's position that its generative features are "rooted in core search ranking and quality systems," reinforcing the argument that foundational content quality continues to matter.

Three Recommended Capabilities

The article outlines three steps it says brands must take to build Day Zero influence: producing buyer-led content that addresses specific pain points and is structured for AI citation; establishing trust across the full buying group through role-specific proof assets; and auditing how AI tools describe the brand, then correcting inaccurate descriptions before optimizing for share of voice.

Kesler frames the Day Zero window as a competitive opportunity rather than a liability, arguing that it is "the one part of the buying journey where no competitor is bidding against you, no algorithm is rationing your reach, and nothing you build expires at the end of a campaign."