Are We Asking the Right Questions About the Future of B2B Marketing? 

I have a confession to make: I don’t know everything — and that’s OK. 

There was a point in my career when admitting that would have felt uncomfortable, and even threatening. I took a lot of pride in being the person people went to when they needed answers. Eventually, I realized that staying relevant in this industry has far more to do with curiosity and continuous learning than pretending to have it all figured out.

That mindset is what’s taking me to Digital Summit Chicago on April 7–8. The event promises expert‑led sessions and workshops designed to shape strategy and offer takeaways you can put into practice right away. But more than anything, I’m going because B2B marketing is in a moment where confidence without curiosity feels risky — especially as AI reshapes how content is created, discovered and trusted. 

So instead of trying to predict where the industry is headed next, I’m starting from a more honest place: the questions I don’t feel fully settled on yet. These are ideas that sound solid in theory but get messy the moment you introduce real teams, real tools, and real audiences. Each question below connects to sessions on the Digital Summit agenda — and represents what I’ll be listening for as I try to sharpen my own thinking. 

"Human-first content" has become the industry's default answer to AI disruption. At what point does a prescription become a slogan? 

Related sessions:  

• "Start a Fire: Deliver Human-First Storytelling in a World of AI Noise" — Tyler Farnsworth, Campfire  
• "The Curiosity Advantage: Protecting Human Value in the Age of AI" — Jerri Helms, HarperCollins Christian Publishing
• "Human-Led, AI-Powered: A Panel Discussion on Designing Digital Journeys People Trust"

“Human‑first” is the phrase everyone agrees with, which is exactly why I’m curious where it starts to lose meaning. Sessions like Start a Fire and The Curiosity Advantage signal a push to articulate what distinctly human storytelling and decision‑making still look like in workflows increasingly shaped by AI, not just content outputs. I’m hoping these conversations move past platitudes and into sharper definitions of where human judgment actually creates leverage — and where it doesn’t. 

AI overviews and zero-click behavior are structurally reducing organic traffic. What does a realistic search strategy actually look like? 

Related sessions:

• "Building a Visibility Strategy: How Search, Social, and AI Answers Shape Modern Discovery" — Tyler Lane, Session Interactive  
• "Beyond Rankings: Building Resilient SEO Strategies in an AI-Governed Web" — Sahirah Johnson, Meta    

AI overviews and zero‑click behavior are clearly reshaping search — but most search advice still assumes enterprise budgets and headcount. The sessions on visibility and resilient SEO suggest a more integrated view of discovery, where search, social and AI answers overlap instead of compete, and rankings alone aren’t the goal. I’m especially interested in what a defensible strategy looks like when traffic loss is structural, not a temporary dip. 

AI is flooding niche B2B verticals with competent-sounding content. How do small marketing teams with skeptical professional audiences build expert authority? 

Related session: 

• "Turning Expertise into Influence: How B2B Organizations Build Authority and Trust in the AI Era" — Samantha Kermode, SparkStack 

As AI-generated content floods specialized industries, the bar for credibility keeps rising — especially with professional audiences who already start skeptical. The agenda framing around turning expertise into influence suggests there’s still a distinction between sounding authoritative and being authoritative. I’m hoping this session explores how smaller teams can surface real expertise in ways that machines can’t easily mimic, without defaulting to generic thought leadership tropes. 

AI systems are becoming the primary discovery layer for brand content. Does traditional brand strategy — built for human audiences — still hold up? 

Related session:

• "Is Your Brand Invisible to AI? How to Win in AI Search Before Your Competitors Do" — Nate Tower, Perrill Digital Marketing  

If AI systems are increasingly the first layer between brands and audiences, I keep wondering whether traditional brand strategy still works as designed. The sessions that explicitly frame brand from the perspective of algorithms and trust hint at a recalibration — not abandoning brand, but translating it so machines can recognize and reward it. I’m looking for clarity on which brand fundamentals still hold up, and which assumptions quietly break in AI-mediated discovery. 

Search measurement is evolving beyond rankings, but most marketing leadership still thinks in keywords and organic sessions. How do you change the internal conversation? 

Related sessions:  

• "Beyond Rankings: Building Resilient SEO Strategies in an AI-Governed Web" — Sahirah Johnson, Meta  
• "The Conversion Blueprint: How to Identify, Measure, and Convert Contacts into Real Revenue" — Stephanie Ristow, Ristow Marketing 

Search strategy may be evolving beyond rankings, but internally, many teams are still evaluated on keywords and session counts. The sessions on resilient SEO and conversion suggest a shift toward outcomes and durability instead of short‑term visibility. I’m curious how speakers approach reframing success for leadership — especially when the old metrics are simple, familiar and hard to let go of. 

Attention is the scarcest resource in B2B marketing right now. But most marketing teams are still measuring content by reach and impressions — metrics that count exposure, not engagement. What should they be measuring instead? 

Related sessions: 

• "The Experience Multiplier: Delivering Effective Employee Advocacy that Impacts Your Bottom Line" — Dana Schmidt, Slice Communications  
• "Actionable Affinity, Unplugged: Turning Customers, Communities & Employees into Loyal Fans" — Lauren Teague, FANWAGN  
• "Performance Marketing Is a Trap (If You Let It Be)" — Liam Wade, Impression 

Attention is scarce, but most dashboards still reward reach rather than resonance. Sessions focused on advocacy, affinity and the performance trap suggest a deeper look at how engagement actually compounds — through people, not just platforms. I’m hoping these talks help articulate more meaningful signals of impact, especially for B2B teams trying to prove value without defaulting to volume metrics. 

Episodic, serialized content works when audiences show up for the next installment. What does episode two of a B2B brand narrative look like in practice — and how do you sustain it without a media budget? 

Related sessions: 

• "Using Episodic Storytelling to Build Cultural Movements that Drive Lasting Loyalty and Measurable Engagement" — Kim Stricker, Social Motto   
• "The Story-First Strategy: Transforming Content into Connection" — Derek Hubbard, Independent  

Episodic storytelling sounds great in theory — but episode two is where most B2B narratives stall. The agenda’s emphasis on episodic storytelling and story‑first strategy suggests there are practical ways to structure continuity without massive production or promotion. I’m especially interested in how brands sustain narrative momentum when attention is fragmented and resources are limited. 

Brand storytelling as a competitive differentiator against AI content sounds compelling — but how long does that window actually stay open as generative models get better at emotional resonance and narrative arc? 

Related sessions: 

• "Start a Fire: Deliver Human-First Storytelling in a World of AI Noise" — Tyler Farnsworth, Campfire  
• "Storytelling in the Storm: Communicating with Clarity & Credibility During a Crisis" — Derek Hubbard, Independent  

Storytelling is often positioned as the moat against AI content — but that advantage may not be permanent. With multiple sessions returning to human‑first and story‑first themes, I’m curious whether speakers see this as a long‑term differentiator or a narrowing window. I’m hoping for an honest conversation about what happens when generative models get better at emotion, structure and tone — and where human storytelling still pulls ahead.