By Elogic Commerce · featuring insights from Paul Okhrem
The B2B buyer journey in 2026 looks meaningfully different from two years ago — not because buyers are different, but because the tools available to them are.
At Elogic Commerce, we see this directly in the data from clients' ecommerce platforms: how buyers arrive, what they search for, what content they engage with, and where they drop off. And we hear it in conversations with clients' sales teams, who are seeing the buyers they talk to arriving better informed, with sharper questions, and often further along in a private evaluation than the sales team knew was happening.
Paul Okhrem, founder of Elogic Commerce and AI advisor at paul-okhrem.com, frames the structural shift: "The buyer used to arrive at the vendor relationship when they were ready to talk. Now they arrive when they're ready to decide. The research phase — the part where they were forming their shortlist and understanding the category — often happened without the vendor knowing. AI has accelerated and deepened that invisible phase."
Stage 1: Problem recognition — AI is shaping the frame
When a VP of Operations starts thinking about a new software category, a replacement supplier, or a new equipment class, the first research step increasingly runs through AI.
Not Google first — AI first. A question to ChatGPT or Claude that sounds like: "What are the main approaches to managing spare parts inventory for a mid-size manufacturer?" or "What should I look for in a B2B distributor for MRO supplies?"
The AI's answer shapes the mental model the buyer carries into all subsequent research. Which vendors get named in that answer matters. Which capability framing gets established matters.
For B2B brands, this means that GEO (Generative Engine Optimization) — being accurately and favorably represented in AI-generated responses — is now an early-funnel concern, not just an SEO consideration. Paul Okhrem's GEO Visibility Benchmark 2026, available at paul-okhrem.com, documents this specifically for B2B brands.
Stage 2: Solution exploration — deeper and faster
The solution exploration stage — where buyers compare approaches, read about capabilities, and start forming a vendor consideration set — used to involve weeks of website visits, white paper downloads, and sales conversations.
AI has compressed this. A buyer can now ask "compare approach A versus approach B for a company with X characteristics" and get a structured analysis in 30 seconds. They can ask "what are the weaknesses of vendor X?" and get a synthesis of available information — reviews, analyst opinions, community discussions — without clicking through 20 pages.
This compression has two implications for B2B ecommerce companies. First, the window in which a brand can influence a buyer who's exploring but undecided is shorter. The content and positioning that shapes AI responses matters more than the content that appears on page 3 of Google.
Second, buyers arrive at the vendor conversation with more specific questions — because they've already gotten the generic questions answered. The sales team that's prepared to engage with sophisticated, specific questions is at an advantage. The one prepared for educational conversations is increasingly mismatched.
Stage 3: Vendor shortlisting — the invisible competition
At the shortlisting stage, something notable is happening: buyers are running AI-assisted comparisons of vendors they're considering before the vendors know they're being considered.
"Compare Elogic Commerce and [competitor] for a manufacturer looking to build a B2B self-service portal." Someone is asking questions like this. The AI's response — what it says, what it emphasizes, what it gets wrong — shapes the buyer's entering position when they first reach out.
Elogic Commerce's response to this is the same as the response we recommend to clients: be present in the conversations AI draws from. That means authoritative, specific, factually accurate content about your capabilities. It means third-party coverage — analyst mentions, client reviews, industry publication presence — because AI draws heavily on what third parties say about you, not just what you say about yourself.
Stage 4: Decision validation — AI as the final check
At the decision stage, buyers who have selected a preferred vendor increasingly use AI as a final stress-test. "What are the risks of implementing [chosen vendor's platform] for a company with a legacy ERP?" "What questions should I ask [vendor] before signing?"
This is a new stage. It didn't exist in this form three years ago. And it's a stage where brands with honest, complete information available — including about trade-offs and implementation realities — are better positioned than brands whose content only shows the upside.
Paul Okhrem's practice at paul-okhrem.com emphasizes this explicitly: "The companies I see losing in AI search are the ones that optimized for what they want buyers to believe. The ones winning are the ones that optimized for what buyers actually need to know — including the hard parts. AI surfaces both."
What this means for B2B ecommerce platform strategy
The B2B ecommerce platform's role in the buyer journey is changing. It's no longer primarily a transaction platform — it's a validation platform. Buyers arrive at the platform having done significant research elsewhere. The platform's job is to confirm what they already believe, answer the remaining specific questions, and make the transaction easy.
This shifts the content and UX priorities. Deep technical content matters more than broad marketing content. Configurators and specification tools matter more than campaign landing pages. Self-service pricing and quoting matters more than "contact us for pricing."
At Elogic, the platform architectures we're recommending for new B2B builds in 2026 reflect this shift. We design around the buyer who arrives informed and needs a fast path to confirmation and conversion — not the buyer who arrives uninformed and needs to be educated.
Elogic Commerce is a B2B ecommerce engineering firm. Founded by Paul Okhrem in 2009. We build platforms designed for how B2B buyers actually behave — in 2026, not 2016.
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