The news
In a DGR interview with CMO Council's Tom Kaneshige, the argument is straightforward: AI is no longer a productivity tool sitting behind your team — it's an active participant in how B2B buyers research and shortlist vendors. That means your content now has two audiences: the human buyer, and the AI agent helping them decide.
Our take
Most B2B marketing teams are still producing content optimized for one thing: getting a human to feel something. A compelling headline, a relatable pain point, a hero journey narrative. That worked when a human was doing 100% of the reading.
The mechanics are shifting. AI agents — whether that's a buyer using ChatGPT to research vendors, a procurement tool summarizing solutions, or an AI assistant synthesizing a shortlist — don't respond to pathos. They parse structure. They weight evidence. They surface content that is specific, credible, and context-rich. Vague positioning and brand-voice-heavy fluff gets filtered out, not because it's bad writing, but because it contains nothing a model can index and return with confidence.
This isn't a content quality problem. It's a content architecture problem. The same way you once had to think about how Google's crawlers would read your page, you now have to think about how an inference engine will interpret it. That means: structured claims, not vibes. Named proof points, not implied credibility. Clear problem-solution framing, not storytelling that buries the lede.
Here's what breaks first: content that performs well in a human scroll — emotional, narrative-heavy, brand-y — may score poorly when an AI agent is summarizing competitive options for a buyer. You could be doing everything "right" by old standards and still be absent from the AI-assisted shortlist.
The harder truth is that most teams don't have a content architecture process at all. They have a publishing cadence. Those are not the same thing. You can't retrofit AI-readability onto a content calendar — it has to be designed in from the brief.
So now what?
- Audit your top 10 pieces of conversion-stage content. Ask: if an AI had to summarize this in three sentences, what would it say? If the answer is "nothing specific," that's the problem.
- Add structured evidence to every claim. Data, customer outcomes, named use cases, specific mechanisms — not "industry-leading" or "best-in-class."
- Brief content with an AI-reader in mind from the start. What question is this answering? What claim is it substantiating? What context does a model need to surface this accurately?
- Keep humans on brand voice, trust, and judgment calls. Those are the parts AI collaboration can't replace — and where your team's time is best spent.
The teams that win the AI-assisted shortlist won't be the ones who publish most. They'll be the ones whose content is structured well enough to be understood by a system that never scrolled.