KEY TAKEAWAYS

• 45% of B2B buyers now use AI to research and find software before engaging with any sales rep, according to Walnut’s 2025 research of 250 tech executives.
• The same buyers are arriving at sales conversations faster, more confident, and significantly more likely to be misinformed — 46% receive misleading information from AI about the products they’re evaluating.
• The traditional discovery call is no longer the start of the conversation. For most buyers, it is a mid-point — or a formality before they confirm the decision they’ve already made.
• Buying committees of 11 to 20 people mean a single demo, delivered once, reaches a fraction of the decision-making group. The story has to travel.
• Interactive demo software has become the mechanism for correcting AI misinformation at scale — letting buyers explore the real product, not an AI summary of it. 

The discovery call you’ve been preparing for has already happened — just without you.

By the time your prospect books a first meeting, they have done the research. They have typed their problem into an AI tool, read the output, formed a shortlist, and arrived at your call with opinions they are not entirely aware are partly wrong. According to Walnut’s 2025 research of 250 VP and C-Suite tech executives, 45% of B2B buyers are now using AI to find the software they want before engaging with any salesperson. Nearly half are using it specifically to avoid talking to a rep at all.

This is not a fringe behavior among a particular type of buyer. It is the dominant pattern across enterprise B2B purchasing in 2026. And it changes everything about how, when, and why your demo matters.

The teams pulling ahead right now are not the ones running better discovery calls. They are winning because they showed up meaningfully in the phase before the call was ever booked — with product experiences that are personalized, shareable, and built to travel without a rep in the room.

The AI-Informed Buyer Is Already Here

The data from Walnut’s research is blunt. Buyers are not just using AI to supplement their research. For 45%, it is the primary discovery mechanism. They are asking AI tools which vendors to consider, what each product does, how competitors compare, and what pricing looks like.

The problem is that AI gets it wrong with alarming frequency. 46% of the executives surveyed report that buyers are receiving misleading information from AI about the products they’re evaluating. 44% say AI is creating overconfident buyers who arrive at sales conversations believing they understand your product more clearly than they do. And 40% say AI does a worse job of explaining product value than a human salesperson.

The result is a buyer who is simultaneously faster, more confident, and more likely to be operating on incorrect assumptions. They have done their homework. The homework has errors. And they don’t know that yet.

What this creates for sales teams is a new kind of opening problem. Before any rep can run a discovery call, demonstrate value, or close, they first have to figure out what AI told the buyer and quietly correct the parts that are wrong. That correction burden is real: 35% of the executives surveyed say they are dedicating resources to correcting AI’s descriptions of their company or product, and 36% say their team is spending more time assessing what prospects already think they know.

The research phase belongs to AI. What happens next belongs to you — but only if you’re ready for what walks in the door.

Why Most Demos Are Still Built for a Buyer Who No Longer Exists

The standard enterprise demo format has not changed in fifteen years. A seller screen-shares. They walk through the product from left to right, feature by feature, module by module, based on whatever the prospect mentioned in the intake form. They answer questions. They schedule a follow-up call with the hope that the champion will sell it internally.

That format was designed for a buyer who arrived with an open mind and needed to be educated. Today’s buyer arrives with context, a half-formed opinion, and a buying committee of 11 to 20 people back at the office who have formed their own opinions from different AI queries, different peer conversations, and different review site summaries.

One demo, delivered once, to one person, does not reach a buying committee. But most demo processes are still built as if it does.

There is a compounding problem here. Because buying committees are larger than ever, the champion who sat through your demo has to re-sell internally to stakeholders who were not in the room. They need to be able to carry the story convincingly to the CFO, the IT lead, the security reviewer, and the end users. If your demo was not built to travel — if it was a live screen share rather than a shareable, interactive experience — the story degrades with every retelling.

The CFO does not care about the dashboard layout. They care about the 32% increase in deal velocity Walnut customers have documented. The IT lead does not care about the feature list. They care about whether this will create a dependency that breaks at midnight. The end user does not care about AI capabilities. They care about whether their Tuesday afternoon looks different.

One demo cannot serve all three. But most teams send the same version to everyone and hope the champion translates it well.

The Real Cost of the Generic Demo

When a demo does not speak to the person watching it, it does not just fail to convert. It creates doubt.

The prospect thinks: if they could not personalize the demo for us, what happens when we need support in month 12? If they showed us a generic sandbox when we have a specific, complex workflow, do they actually understand our business? If the story they told did not connect to our problem, are they really a fit?

Doubt is not a neutral outcome. It is an active negative. It gives the buyer permission to stay on the fence, to slow-walk the evaluation, or to use you as leverage to negotiate a better deal with the competitor who showed them something that felt relevant.

The gap between a generic demo and a contextual one is the gap between a prospect who says “that looks interesting” and one who says “we need to move forward on this.” It is not a small gap. It is the gap that determines whether the deal progresses or disappears into a pipeline that never closes.

This is why 22% of sales leaders in Walnut’s research say deals are now taking longer to close, even as AI speeds up the early research phase. The buyer moves faster at the top of the funnel. The deal stalls when the demo experience is not good enough to sustain momentum through a complex, multi-stakeholder evaluation.

The New Sales Model: Assess, Correct, Validate, Close

The old model of educating and closing assumed that the rep controlled the information environment. The buyer arrived knowing little. The rep taught them. The demo was the education.

That model is over. The new model, which the best-performing GTM teams are already running, has four steps.

Assess. Before you run the demo or even begin discovery, understand what the buyer thinks they already know. What AI told them about your category. What they read about your competitors. What assumptions they have built into their evaluation criteria. This is not a warm-up question. It is the most strategically important question in the entire sales process, and most reps skip it entirely.

Correct. Where AI got it wrong, fix it — quickly, confidently, with evidence. Not defensively. Not by attacking the AI tool they used. But by showing them, with a personalized product experience, what the reality actually looks like. The interactive demo is the correction mechanism. Telling a buyer that AI misrepresented your product is weak. Showing them is decisive.

Validate. Once the record is straight, validate the solution with proof that goes beyond what any AI summary can provide. A personalized demo built for their specific workflow. A deal room that lets their buying committee explore at their own pace, with content tailored to each stakeholder’s questions. Engagement data that shows you know which parts of the story resonated and which did not.

Close. Only after the foundation is rebuilt. The buyer who arrives misinformed and leaves corrected and validated is in a fundamentally different position than the buyer who sat through a generic walkthrough and said “I’ll think about it.”

The demo sits at the center of steps two and three. It is not a presentation. It is the proof.

What Product Storytelling Actually Means in Practice

Product storytelling is not about making your demo prettier. It is not about adding animations or shortening the click path. It is about building an experience that maps your product’s capability directly to the buyer’s specific problem, in a format that can travel to every stakeholder in the buying committee without degrading.

That means starting with the problem they told you they have, not the feature tour you built last quarter. It means showing the workflow that matches their team’s actual setup, not the generic sandbox you demo to everyone. It means giving the CFO a version that speaks to ROI, the IT lead a version that speaks to architecture and security, and the end user a version that speaks to their daily workflow, without requiring your SE team to rebuild the demo three times.

It also means the demo has to survive the room. The buyer you spoke with on Tuesday shares it with the wider committee on Friday. The CFO shares it with the board. If your demo is a screen-recording or a slide deck, the story is already lost by the time it gets there. If it is an interactive experience that each stakeholder can navigate in the way that makes sense to them, the story compounds with each person who sees it.

The best interactive demo software makes this possible at scale by making it faster to build a contextual one for each buyer. The teams that have cracked this have shifted from thinking about demos as a presentation moment to thinking about them as an ongoing product story that evolves throughout the buying journey — from first awareness through to closed-won, and into the post-sales expansion motion.

The Dark Funnel Problem: Where Interactive Demos Play Before Sales Does

70% of the B2B buying journey happens before a seller is involved. That means by the time your prospect is on a discovery call, the majority of their evaluation has already occurred — in search engines, AI tools, Slack communities, G2 review pages, and peer conversations that you have no visibility into.

This invisible journey is where the shortlist forms. Vendors who show up in this phase with accessible product experiences, sharp thought leadership, and content that surfaces in AI-generated answers earn a position on the shortlist. Vendors who gate everything behind a form, require a rep call before showing the product, or have content that does not appear in AI summaries are often filtered out before the first conversation.

27% of buyers in Walnut’s research say they want more self-serve options that reduce human touchpoints in the early journey. This is not a niche preference. It is a structural shift in how enterprise buying works. The teams responding to it are publishing interactive demos on their websites, building self-serve evaluation experiences, and creating content that lets buyers engage with the product before they ever fill out a form.

The implication for your demo strategy is this: the demo is not just for the discovery call. It is for the pre-meeting phase, the internal share, the buying committee review, and the final validation step before the decision. Teams that build one demo and use it once are leaving most of its value on the table.

What the Shift from Sales to Marketing Means for Your Demo

One of the more significant findings from Walnut’s 2025 research is the structural shift it documents between sales and marketing. 49% of tech executives say AI is enabling marketing to own more of the buyer relationship. 47% say marketing is increasingly influencing revenue strategy. 94% of companies surveyed made structural or headcount changes in the past year because of AI.

The implication is not that sales is disappearing. It is that the demo is no longer just a sales asset. It is a marketing asset. It is an SEO asset. It is a product asset. It is a customer success asset.

Marketing needs demos to run on product pages, in email sequences, in paid campaigns, and in content hubs where self-serve buyers can evaluate without a rep. Sales needs demos that are personalized per deal, per persona, per stakeholder in the buying committee. Customer success needs demos for onboarding and expansion conversations.

If your demo is a one-size-fits-all artifact that lives only in the sales discovery call, you have a strategy misaligned with how buyers actually move. The teams closing faster are the ones who have made the product experience available at every stage of the funnel and measurable at every touchpoint.

Building the Infrastructure Behind the Story

Getting to contextual, personalized, multi-stakeholder demos at scale requires rethinking the infrastructure behind how your team creates and delivers product experiences.

For most enterprise teams, the current infrastructure looks like this: a Solutions Engineer builds a demo environment. An AE prepares for a call. The demo happens. A follow-up deck is sent. The deal either moves or stalls. The SE moves to the next demo request. The cycle repeats, with the SE as the bottleneck for every customization.

This infrastructure breaks under the pressure of modern buying committees. There are too many deals, too many stakeholders, too many persona-specific requirements, and too little SE bandwidth to build everything from scratch.

The teams solving this problem are doing three things. They are building demo libraries that can be customized quickly without starting from zero. They are using AI to personalize at scale by updating company names, workflows, and context without requiring an SE for every deal. And they are connecting demo engagement data to their CRM so that every interaction a buyer has with a product experience surfaces as intelligence that the selling team can act on.

What does engagement tell you about which stakeholders are actually interested? Which section of the demo did the CFO spend the most time on? Where did the evaluation stall? When did the champion share the demo internally, and who opened it? This data, captured and connected to the deal record, is the difference between a rep flying blind into a follow-up call and a rep who knows exactly what to say before they open their mouth.

The Gap Worth Closing

If your demo process is still a live screen share followed by a generic follow-up deck, the gap between where you are and where the best-performing GTM teams operate is significant. But it is not insurmountable.

The place to start is the narrative. Before you open any tool, map the buyer’s problem to a three-act story: here is the world they are living in today, here is what gets in the way, here is what their world looks like when this problem is solved. The demo serves that arc. Every screen, every click path, every feature shown is in service of that story.

Then ask the infrastructure question: can that story reach every stakeholder in the buying committee, in their own context, without requiring your team to rebuild it from scratch each time? Can it survive the room — traveling from your champion to the CFO to the board — without losing coherence? Can you see which parts resonated and use that intelligence to close faster?

If the answer to any of those questions is no, that is the gap worth closing.

AI hasn’t just changed how buyers research, it’s rewritten the rules of who owns the relationship. 

The research phase belongs to AI. The validation phase — the moment where a buyer stops evaluating and starts envisioning — belongs to the teams who have built the product story to earn it.

Walnut helps GTM teams build, deliver, and measure personalized interactive demos across the full buyer journey. See how leading enterprise teams are using Walnut to tell their product story. 

Read more on why 61% of buyers prefer rep-free experiences.

See how leading enterprise teams are using Walnut to tell their product story.