Michael Whife, CEO & Co-Founder, Demand AI
For years, B2B marketing has operated on a simple assumption: if we create the right content, put it in front of the right people and capture their details, we can identify demand and move buyers into the funnel.
That model is being fundamentally disrupted.
The reason is simple: buyers are becoming much better at buying without us.
They are researching independently, asking increasingly specific questions and delaying engagement with vendors until they have built their own understanding of the problem. And they are doing that research through conversational AI.
That creates a new imperative for brands: don't just make your content discoverable. Make your expertise part of the answer.
If a prospective CISO asks ChatGPT about the best approach to securing a complex hybrid environment, for example, being absent from the sources informing that answer could mean being absent from the buyer's shortlist altogether.
But visibility is only half the story.
What buyers want
At Demand AI, we've been looking at what happens when buyers are given the opportunity to ask questions about B2B content. In the next few weeks we will release our B2B Buyer Curiosity Index – a report in which we analysed 179,061 leads across 14 markets and captured 23,040 spontaneous questions typed by buyers themselves. These aren't survey responses or inferred intent. They are the questions buyers chose to ask while researching.
What we're seeing is revealing.
Buyers don't necessarily want another piece of thought leadership. They want answers. They want to understand risk and to justify investment.
Buyers want to know what implementation really involves. They are looking for practical information that helps them make a decision.
That should change how we think about content.
It also means brands need to become more comfortable with third-party environments. The future of authority isn't going to be built exclusively on the corporate website. Trusted editorial environments, expert voices, original research and genuinely useful buyer information can all help establish the associations that answer engines use when constructing their responses.
Conversation is context
There is another important shift here: the conversation itself becomes a demand signal.
Instead of assuming that someone downloading a whitepaper is interested, imagine knowing exactly what insights they required from that piece of content. Every question tells us something about their needs, concerns, and stage of research.
This is the thinking behind Demand AI's conversational AI and approach to content syndication. Our Insyte product allows buyers to interrogate content through AI, turning passive consumption into a measurable conversation. Every interaction becomes a signal.
At the same time, we can publish that buyer-focused content into an open, GEO- and LLM-optimised environment through B2BInsyte.com - creating a library designed to be discoverable by both people and the AI systems increasingly shaping their research.
Virtuous signal cycle
That creates something that will become increasingly important: a virtuous cycle between visibility and demand.
Buyer questions tell us what information is useful to them. That shapes more relevant content. Better content earns greater visibility in answer engines. That visibility creates more engagement. Engagement generates richer intent signals. And those signals tell marketers where to focus next.
The implication for B2B marketers is significant.
The question is no longer simply: How many leads did our content generate?
It is becoming: are we present when buyers ask the questions that matter - and can we recognise what those questions tell us about demand?
The brands that understand that shift will have an advantage. Those that continue optimising primarily for downloads and forms may discover that their marketing funnel looks healthy while their influence on the actual buying journey is disappearing.