Quick Answer: Forrester's January 2026 Buyers' Journey Survey of nearly 18,000 global B2B buyers found that 94% use AI tools to research vendors before ever contacting one directly, and twice as many named AI their most valuable research source over company websites, sales reps, or product experts. 55% compare vendors inside AI tools, 54% research products there, and 47% build an internal business case, all before a single sales conversation happens. The content shaping those shortlists and business cases is doing sales development work, whether or not anyone has budgeted for it that way.
A procurement director at a mid-market manufacturing company needs to evaluate three ERP vendors. She opens Perplexity and types a single question: which ERP vendors work best for mid-market manufacturers? She gets a list, featuring two of your competitors, but you aren't mentioned.
She builds her internal business case around that list before anyone on your sales team knows her name. When your rep finally reaches her three weeks later, she already has a shortlist and a preferred vendor, and you were never on it. You never had a chance to make your case because the interaction that decided your fate had already occurred within an AI tool you did not control and could not track.
Forrester just confirmed this is not an edge case, but how 94% of B2B buyers now work.
What the Forrester Data Shows
Forrester's State of Business Buying, 2026 surveyed nearly 18,000 global B2B buyers and found that generative AI has become the starting point for vendor research at a scale that leaves little room for interpretation. 94% of buyers used AI tools during their most recent purchase process. Twice as many named AI their most meaningful research source as any other source, ahead of company websites, product experts, and direct sales contact.
The breakdown by use case is where the finding becomes actionable:
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55% of buyers use AI tools to compare vendors
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54% to research products
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47% to build the internal business case they will eventually present to their own leadership
All of this happens before a vendor's sales team is in the room and, in most cases, before the vendor knows the deal exists.
This is not a small or directional sample. Nearly 18,000 buyers is one of the largest B2B buying behavior studies published this year, and the finding lines up with what Arcalea has seen across client engagements: the pre-funnel research stage has a new layer, and most B2B organizations have no presence in it at all.
Why This Is a Sales Problem, Not a Marketing Problem
This is the reframe that changes the budget conversation. If 94% of buyers form vendor opinions inside AI tools before reaching your website, then the content being cited in those AI answers is shaping shortlists, surfacing objections, and building the internal business case the buyer will use to justify their eventual choice. That is not top-of-funnel marketing so much as the first sales interaction, and it is happening whether or not your organization has anyone assigned to it.
Organizations that treat AEO as a marketing optimization project tend to underinvest in it, funding it from the same budget line as blog content and social posts. Organizations that treat it as sales development infrastructure allocate differently, measure differently, and build differently, because they understand what is actually at stake. The question is how much of the budget goes toward the stage of the sales process that occurs before a seller is ever involved.
That framing matters just as much for a 40-person mid-market industrial distributor as it does for an enterprise brand with a dedicated demand gen team, since the buyer researching either one is running the same AI queries and building the same kind of internal case before either company knows she exists. The gap tends to be largest exactly where the resources to close it are thinnest, which is usually mid-market, not enterprise.
The Gap Nobody's Budgeting For
Forrester's data describes buyer behavior, and the 2X AI Visibility Index, a study of 70 B2B companies published in April 2026, documents the resulting gap on the brand side: 96% of B2B organizations do not appear in early-stage AI-generated answers about their category, and only 4.3% show up at all. We covered the mechanics of that gap and what the 4.3% are doing differently in a previous piece on B2B AI visibility. The short version is that the gap is not a technology or budget problem but an awareness and prioritization problem, and the tools to close it already exist.
Most B2B organizations have built out their sales funnel carefully from awareness through close. Almost none have invested in the layer that sits in front of it, the one where 94% of buyers are now doing their most consequential research. The organizations closing that gap now are building an advantage that compounds every quarter it goes unanswered.
What B2B AEO Actually Requires
Three things distinguish the brands that appear in AI-generated vendor answers from those that don't, and none of them involve traditional keyword optimization.
Entity Clarity
AI engines need to identify and categorize a brand with confidence before they will cite it. That requires the brand to be described consistently and accurately across directories, review platforms, and third-party sources. Fragmented or conflicting descriptions, different names, missing category associations, and inconsistent positioning weaken the signal to the point that AI engines discount it entirely.
Content Citability
Content structured for extraction outperforms content optimized purely for keyword rankings. That means direct answers to the specific questions buyers are typing into AI tools, expert authorship, FAQ formatting, and specific data points with clear attribution; the same structural signals that earn featured snippets, applied with more rigor.
External Validation
Stacker's March 2026 study found that 64% of AI citations come from third-party sources rather than brand-owned pages, and that distributing content through earned media channels yields a 239% median lift in AI citation frequency. Getting cited by the sources AI engines already trust in your category is the highest-impact investment available in the pre-funnel layer, and it is the one most B2B marketing teams have not touched.
Audit Your Position in 30 Minutes
Open ChatGPT, Perplexity, and Google AI Mode and type the five queries your best prospects are most likely to ask when researching your category. Document what comes back: whether your brand appears, what it says when it does, and which competitors show up instead.
That exercise takes thirty minutes and produces the clearest picture available of your current pre-funnel position. The brands in the 4.3% did not get there by accident. They run this audit on a schedule, track the results monthly, and invest specifically to close any gaps the audit surfaces.
The First Interaction You Can't See
Forrester surveyed nearly 18,000 buyers, and 94% of them form opinions about vendors within AI tools before speaking to anyone on a sales team. The first sales interaction your next buyer has with your brand is probably happening right now, in an AI tool you cannot see, on a query you are not tracking.
Whether that interaction helps or hurts your chances of making the shortlist depends entirely on whether you have built the presence to be in it.
If you want to see how much AI-referred revenue is already flowing to your business unmeasured, Galileo can show you. If you are ready to build the entity clarity, content citability, and external validation that gets you into the answer before your sales team ever gets the call, that is what our AEO and GEO work is built for.