The RFP May No Longer Be Where the Competition Begins

Traditional B2B procurement becomes visible to suppliers at a fairly specific moment: a buyer requests information, approaches known vendors, or issues a formal RFP. Peer conversations, analyst research, and a buyer’s own private reading have always happened before that point. AI didn’t invent that private research phase.

What may be changing is something more specific. For many suppliers, the formal sourcing process has traditionally been the first point at which the competitive field becomes visible, the moment they know there is an opportunity and who they may be competing against. AI raises the possibility that meaningful competitive sorting, supplier identification and comparative evaluation are already happening, and that some of the criteria suppliers will later be judged against are already taking shape, before a supplier reaches that point.

That’s a hypothesis worth testing carefully, not a conclusion Strategic Advantage is asserting as settled fact.

What This Article Is and Isn’t Claiming

• Formal procurement, RFPs, proposals, presentations, and negotiation still happen and still matter. Nothing here suggests otherwise.
• Private buyer research has always preceded formal supplier contact. What may be changing is how much of the actual competitive sorting, discovery, evaluation, criteria-setting, happens before a formal process exists to respond to.
• The strongest current evidence is particularly visible in B2B technology and software buying. Broader B2B research suggests the pattern isn’t confined to software, though the depth of evidence varies by category.
• The useful question for a business isn’t whether this is definitely happening everywhere. It’s whether the company would even know if it were happening to them.

The Supplier Has Always Seen the Buying Process Late

This isn’t a new problem in kind. Peer recommendations, analyst reports, and a buyer’s own private research have always preceded formal supplier contact. But historically, a supplier could reasonably treat the formal sourcing process, the RFP, the first call, the introduction, as the point where the competitive field became visible and active competition began.

What’s worth examining is whether that assumption still holds. A buyer working from search results and analyst PDFs is doing something meaningfully different from a buyer working with an interactive system that can compare options, draft evaluation criteria, and answer follow-up questions in real time, before any supplier is aware a competition is underway.

What the Research Actually Shows

The strongest current evidence is particularly visible in B2B technology and software buying. G2’s 2026 AI Search research, surveying more than a thousand B2B software buyers and decision-makers, found that 51% now start software research with an AI chatbot more often than with Google, and found buyers using AI for vendor comparison, initial vendor identification, shortlist narrowing, and even drafting RFP questions. A separate G2 report found more than 80% of surveyed buyers had sourced software recommendations from AI chatbots within the prior two years, with AI’s greatest reported influence concentrated during shortlisting and evaluation.

TrustRadius’s 2026 research, surveying 1,862 technology buyers, adds an important balance. AI use is growing, but AI tools and search still didn’t rank among buyers’ top five most-used resources, and trials, demos, and prior experience remained particularly influential. 94% of buyers who used AI for purchase research said they fact-checked its output at least some of the time. Buyers appear to be using AI to accelerate and structure research, not to replace their own judgment.

The pattern isn’t confined to software. Forrester’s broader B2B research finds generative AI searches are now a starting point for B2B buyers, and Forrester has separately reported that twice as many buyers named generative AI or conversational search as their most meaningful research source compared to any other single source, outpacing vendor websites, product experts, and sales. Forrester has also documented generative AI use across the buying process more broadly: researching vendors, creating RFPs, comparing vendors, and validating decisions. At the same time, its State of Business Buying research shows the average complex B2B purchase still involves roughly 13 internal stakeholders and 9 external influencers, real organizational complexity that AI research doesn’t remove.

Gartner’s research adds a useful counterpoint. It found 45% of B2B buyers used generative AI during a recent purchase and 67% preferred a rep-free experience for at least part of their research, but also found 69% wanted to validate AI-generated insights with a sales representative before acting on them.

The emerging pattern isn’t AI instead of sales. It’s AI before sales and alongside it, with humans validating or advancing decisions at the points that matter most.

There’s also early evidence that this influence extends to outcomes, not just research behavior. G2 found that 69% of surveyed B2B software buyers said AI chatbot guidance led them to select a different vendor than they’d originally planned. That’s self-reported and specific to software buying; it doesn’t establish how broadly the same effect holds across categories like manufacturing, professional services, or industrial sourcing. But it means the evidence isn’t limited to how buyers research. In at least this population, it extends to which vendor they ultimately choose.

Taken together, that research establishes a change in buyer behavior. The more interesting strategic question is what that change does to the competitive process.

AI Can Shape the Competition Before the RFP Is Issued

If a buyer uses AI to understand a problem, compare provider categories, and draft an initial view of what matters, some of that thinking is likely to carry into whatever formal document eventually reaches suppliers, which capabilities get asked about, which vendors come across as credible enough to include, which differentiators get noticed at all.

Supplier discovery is the more intuitive half of this. The more interesting possibility is that AI may not only influence who gets considered. It may influence the questions suppliers are later asked to answer, what capabilities matter, what risks deserve scrutiny, how suppliers should be compared. If a buyer uses AI to help formulate evaluation criteria before an RFP is drafted, public market evidence can end up shaping the rules of the competition, not merely who’s invited to it.

Experienced sales teams have always known that the best time to influence an RFP is before it’s written, through relationships, consultants, analyst conversations, or simply being in the room early. That’s not a new idea. What AI may change is who, or what, is participating in that earlier process.

If your sales team isn’t in that room yet, what evidence is AI working with instead?

This is where documented current practice, not just buyer-side research, becomes relevant. McKinsey has documented generative AI use in procurement for customized RFPs, supplier identification, and sourcing analysis, including a client RFP engine leveraging sanitized templates and cost drivers from more than 10,000 prior RFPs and responses. Procurement technology vendors such as JAGGAER now offer AI-generated RFPs drafted from sourcing briefs and AI-assisted scoring of supplier responses, with human review retained, a useful illustration of what’s already technically possible, though vendor material alone isn’t evidence of how widely adopted it is. The important point isn’t that every procurement organization works this way today. It’s that these activities can already happen inside the formal buying process as well as before it.

If that’s happening with any regularity, a company may be competing, and being judged against criteria it never saw formed, before it ever receives the document traditionally understood as the start of the competition.

AI Doesn’t Stop at the RFP

The underlying analytical capabilities extend naturally into the post-RFP process, although applying them to confidential proposals introduces different data, security, and governance requirements than researching public suppliers does. AI can summarize responses, compare them side by side, flag missing answers, and help formulate follow-up questions. This doesn’t mean every procurement team is doing all of it today. It means suppliers should assume more capability exists on the buyer’s side than they’re currently planning around.

What This Actually Requires of a Company

None of this is really about visibility for its own sake. Before trying to be more visible, a company needs clarity about a narrower set of things: what it should credibly be known for, when that expertise actually matters to a buyer, and what evidence supports the claim. That’s the same evidence question this series has already made about a website’s role, applied here to the specific moment before a formal procurement process exists to respond to.

In practice, that means being able to answer more than “what does this company do.” It means having clear, discoverable, and credible evidence for what problems the company is particularly suited to solve, what kind of customer it’s the right fit for, what differentiates it, and what outcomes it has actually produced, the kind of evidence that can support the company when AI is helping a buyer identify and compare potential suppliers.

That’s harder than it sounds for companies organized around internal service lines or industry verticals rather than the problems buyers actually bring to them. The evidence a buyer’s AI needs to assemble often sits scattered across pages that were never written to reference each other.

Why This Is Bigger Than a Marketing Question

If this hypothesis is directionally right, the implications don’t stay inside marketing. Brand, sales enablement, revenue strategy, competitive positioning, case studies, executive visibility, and third-party authority all feed into whether a company’s expertise is legible enough to show up in a buyer’s early thinking. That’s a reasonable case for treating this as a strategic question rather than another marketing channel to optimize.

The Strategic Question Worth Sitting With

The question may no longer be simply whether a company can win the RFP. It may be whether it became part of the buyer’s thinking early enough to receive one at all.

By the time a formal RFP arrives, a buyer may already have used AI to understand the problem, form initial evaluation criteria, and settle on which suppliers belong in the consideration set in the first place. The commercial risk that creates is the same one this series has described from a different angle: an opportunity that never becomes visible to the systems built to measure it.

The RFP may still matter enormously. The presentation may still matter. Relationships may still decide close calls. But the first round of competition may increasingly happen before the supplier knows there is one.

What does a prospective buyer learn about your company before anyone on your team knows they’re looking?