If you joined us live during our recent webinar, you heard it firsthand: B2B marketing is changing quickly. And it’s not just because of new tools. Buyer behavior itself is shifting.
In this conversation with Min Erh MAH of Palo Alto Networks and Rohan Kamra of Everpure, we explored how AI is reshaping content distribution, where it’s disrupting long-standing marketing assumptions, and which fundamentals still hold when everything else is in flux.
Here are my five biggest takeaways from the discussion.
1) AI is reshaping discovery before it ever shows up in your funnel
One theme kept surfacing throughout the conversation: buyers are increasingly getting the answers they need without ever visiting your website.
Min and Rohan both pointed to the same pattern. GenAI tools are compressing the research journey, and the signs are already showing up in the metrics marketers watch most closely: softer web traffic, noisier top-of-funnel signals, and fewer clean attribution paths.
My takeaway: if your strategy assumes the buyer journey starts on your website, you’re already behind.
What to do: broaden how you define visibility. Look beyond site traffic and clicks, and focus more on influence across the buyer journey, especially when it connects to account movement.
2) The dark funnel isn’t new, but it’s becoming impossible to ignore
We spent a lot of time on the reality that much of the buying journey happens in places marketers can’t track: internal chats, peer networks, private communities, and now AI assistants that summarize the market on a buyer’s behalf.
Rohan made an especially important point here: buying groups are large, often involving 20 or more stakeholders, and many of those people will never identify themselves directly. Even so, they still shape the final decision.
My takeaway: no lead doesn’t mean no intent.
What to do: build for invisible influence. Show up where buyers are learning, and make sure your content addresses the questions they’re asking long before they ever come inbound.
3) Brand matters even more when AI becomes part of the research process
This is where the old “brand versus demand” debate starts to break down.
When buyers use AI to evaluate and compare options, they’re more likely to gravitate toward companies that feel credible, established, and validated. Min emphasized that trust signals such as third-party credibility, customer proof, and genuine authority matter more now because buyers are filtering information faster than ever.
My takeaway: brand is no longer a nice-to-have. It’s a qualifier.
What to do: invest in assets that go beyond standard vendor messaging, like customer outcomes, independent validation, and strong, evidence-backed points of view.
4) Content syndication isn’t dead, but the lazy version of it is
We were candid about this: the days of celebrating “100 leads from one asset” are fading.
Both Min and Rohan agreed that syndication still has a role to play, but only when it’s part of a larger system that includes nurturing, retargeting, account-based strategy, and measurement that goes beyond form fills.
Rohan put it bluntly: syndication can easily masquerade activity as intent if you don’t look at what happens afterward.
My takeaway: syndication is not the strategy. It’s one input into distribution.
What to do: evaluate it based on signal quality and downstream impact. Are target accounts engaging more than once? Are you seeing broader buying-group participation? Is it helping move pipeline faster or improving conversion?
5) The winners won’t be the most AI-enabled. They’ll be the most buyer-aligned.
One of the most practical themes from the session was this: AI can change how teams execute, but it can’t replace judgment.
Min spoke to the importance of internal enablement, including governance, guardrails, and helping teams use AI safely and effectively. Rohan highlighted the broader behavioral shift: people are turning to AI for answers because it’s faster and often more useful than traditional search.
My takeaway: this is not just a martech shift. It’s a business shift.
What to do: double down on the things AI can’t do for you, like deep buyer empathy, strong sales alignment around outcomes, credible storytelling, and real differentiation. Because generic content is about to be everywhere.
Closing thought
The biggest throughline I took from the session is this: if buyers are doing their research through AI and private channels, your job is no longer just to be discoverable. It’s to be included.
Included in the shortlist. Included in the AI-generated summary. Included in the peer recommendation. Included in the internal conversation.
That comes down to a combination of timeless fundamentals, trust, proof, and authority, paired with a modern distribution strategy built on multi-channel presence, account-level measurement, and smarter signals.
Watch the full discussion on our on-demand webinar here.
