Answer for yourself, or let someone else answer for you

Your buyers are researching, comparing, and increasingly buying from inside an AI assistant. The only question left is whether it gets your business right when the deal is decided. 

The opportunity in plain terms 

Strip away the technology: three things your customers feel, and you benefit from. 

• Your customers get the right answer. The assistant answers correctly, from today's data, not a cached guess. 

• You learn what they actually want. You see the questions real accounts are asking, as they ask them. 

• You're there to act. You're present and able to respond where the decision happens. 

The first is what customers want. The other two are what you gain. 

Visibility is table stakes. The advantage goes to the supplier the assistant can query for correct answers, and then act on. 

There's a way to do this, and it exists today 

A standard called MCP lets an AI assistant draw on your live systems for context, so it answers questions about your products and services correctly and up to date, not from a stale guess. The result: your facts, not someone else's. 

From inward tool to market factor 

Right now this mostly points inward: businesses connect their own tools to assistants like Claude, Copilot, or ChatGPT to work faster, and value stays inside the building. 

The shift underway turns it outward. When your customers' own assistants ask your systems directly, part of the decision moves into a channel you don't own or see. That's a presence question, not efficiency: are you the supplier it can answer for, or the one it skips. Moving first, while this is still uncommon, sets the default everyone else inherits. 

What changes in the customer journey 

Take the B2B journey, and look at what changes once your buyer's assistant is in the loop. 

• Problem and need. Your buyer describes the problem to their assistant instead of googling. If you're not in the answer, you don't exist at this step. 

• Research and evaluation. The assistant compares suppliers, specs, and prices. Unreachable or wrong data means you're left out or misquoted. 

• Decision and shortlist. The supplier whose data the assistant trusts and can confirm live makes the shortlist. 

• Purchase and after-sales. Live quotes, order status, reordering, and support, from inside the buyer's interface, the biggest lever in B2B, where repurchase loyalty weighs heaviest. 

The journey stops being a tour across your surfaces. It becomes a conversation inside the buyer's assistant. 

The staircase: visible, queryable, actionable 

The staircase maps onto that journey: visible is problem and research, queryable is evaluation and shortlist, actionable is purchase and after-sales, one honest read on where you stand and what to build next. Bet on the queryable layer now; the checkout still rides on unsettled commerce standards, so don't assume a single winner there yet. 

As you climb, the data gets more sensitive. Specs, availability, and lead times stay public. Negotiated pricing, contract terms, and order history sit higher, behind entitlement, open only to an authenticated agent tied to a known account. What you verify decides what you reveal. 

Traceability: what visibility alone can't give you 

Getting into the answer is necessary, but alone it's a black box: you can hope you're mentioned, but can't measure it. The queryable layer changes that, showing exactly which questions are asked, and by whom, unlike someone else's interface, where you can sell but can't measure it. 

Two wins are worth separating. Being present is a top-of-funnel win, often an anonymous prospect you can't yet name. Attribution to a named account is different, real only once the agent authenticates. We won't claim you can tie every research query to a CRM profile. We will claim this: for accounts that do connect, you learn a specific buyer looked into a specific product in a specific week, intent signal no third-party channel gives back. 

• Richer profiles and better sales timing. You see demand emerge in real time, per account, and can act while interest is warm. 

• Personalisation with control. You know who's asking, so you can serve the right data, a negotiated price instead of list price. 

In short: this makes your presence measurable, and for connected accounts, attributable to a real relationship. 

Designing for control 

None of this runs on trust alone. Treat each as a design decision, made once and enforced at every request. 

• Security and permissions. What the agent may see and do when pricing is negotiated per customer. 

• Identity and entitlement. Whether it's a known customer's agent, and whether it gets account-specific data. 

• Data quality and governance. What you expose has to be accurate, because someone now acts on it directly. 

• Accountability. What applies when the agent acts wrongly on your data. 

• Discoverability and control. How the assistant finds you, and how much say you have over how the answer is shown elsewhere. 

The investment 

The cost has three parts: building the connection, running it, and keeping it in sync as systems change. It's an extension of what you've already invested in ERP, PIM, and CRM, making data you already own useful in the channel customers are moving towards. 

What it means for you 

The numbers are catching up fast. Forrester puts agent-led quote negotiations at one in five B2B sellers in 2026. In a G2 survey this year, half of B2B software buyers started research with an AI chatbot, and one in three bought from a supplier they'd never heard of before. Deloitte finds fewer than a quarter of B2B suppliers use agentic AI today. Demand is outpacing supply, and that gap is your opening. 

Start where risk is low and volume is high: repeat purchases and reordering. Widen the agent's remit as trust builds. Answer from your own systems, keep the customer relationship, and turn this from a cost into an owned asset competitors stuck in the visible layer never get hold of. 

The winners connect before their competitors do. 

Want to see where you'd land on the staircase today? Let's talk.