Is AI Redefining B2B Buying Signals, or Just Leaving Us Blind?

The B2B Buyer Already Made a Decision Before Talking to You

There's a piece of data I haven't been able to stop thinking about: 94% of B2B buyers already use LLMs in their purchasing process. Not to replace vendors, but to arrive at conversations much better prepared.

And they're arriving 3.5 weeks earlier than before.

So, all good? Not exactly.

The problem is what happens between when they start researching and the moment they reach out. That stretch (where they evaluated alternatives, validated with peers, searched for reviews, asked ChatGPT who leads the category) happened in a place where your intent data tools, practically speaking, didn't exist.

The Dark Funnel Got Darker

Before LLMs, the dark funnel was already a problem. Today it's a structural reality. Think about it: 84% of B2B content is shared in private channels. 97% of your website visitors never fill out a form. And now, an entire layer of research happens inside AI conversations that generate zero trackable signals for you.

What we do know: buyers who reach your pipeline have already reviewed alternatives, compared vendors, and built their shortlist long before their first contact. 76% of vendors that enter evaluation were already known to the buyer beforehand.

Which means if you're not in the consideration set early, you've probably already lost.

Intent Data: The Promise and the Gap

Many companies and teams manage intent data today. The problem isn't access to those signals — it's what they do with them.

The classic model: I detect an account researching relevant keywords, I alert sales, sales tries to connect with the most obvious contact (the CIO, the IT Director).

The problem: the average B2B decision involves more than 10 people. And the contact sales knows is rarely the one actively researching.

We keep measuring in singular when the problem is plural.

The Evolution That's Already Here: From Accounts to Buying Groups

This is where the conversation gets interesting.

The most advanced teams no longer work with intent at the individual contact level. They work at the buying group level: they detect which accounts have active signals, map who within that account has real influence over the decision (not just the most visible title), and orchestrate differentiated experiences for each role.

Decision Maker. Champion. Technical Buyer. End User.

Each one needs to see something different. And each one is researching something different.

Today there are tools like Adobe Journey Optimizer B2B and 6sense built specifically for this: crossing intent signals with the people structure within an account, identifying coverage gaps in the buying committee, and activating coordinated journeys — not generic campaigns.

There's a case I find relevant: Tenable combined account intelligence with on-site personalization so that the same website content adapted depending on which role was visiting and what prior signals that account had. The result: no more generic engagement, but conversations that arrive at the right moment, with the right message, for the right person.

The Question You Should Be Asking

Is your intent strategy working at the contact level or at the committee level?

If the answer is contact, you're probably responding well to a small fraction of the real signal. And in a world where the buyer has already researched with AI before reaching you, that fraction keeps getting smaller.

B2B marketing isn't dying. It's returning to its essence: understanding who buys, how they decide, and what they need to hear at each stage. What changed is that today we need to do it at the buying group scale, and with the intelligence to get there before the shortlist is closed.

#B2BMarketing #IntentData #BuyingGroups #AIMarketing #DemandGeneration