Right now, buyers are asking AI which vendors solve their problems. They’re getting shortlists, comparing options, ruling vendors out, and forming preferences before a single intent signal reaches your CRM.
This three-part webinar series walks through what it takes to win during that early decision window:
- Diagnose your AI visibility gaps
- Engineer content systems built for generative discovery
- Strengthen authority over time so competitors struggle to replace you
Hosted by Erin Strong and Will Waugh
Strong SEO rankings don’t guarantee that AI systems will recommend you. Our analysis of 70 B2B companies found a consistent pattern across many brands: companies with solid site structure and search performance were still invisible inside generative engines.
If your brand signals are unclear to those systems, you may be invisible during the most influential part of the buyer journey.
What you don’t know about your AI visibility may already be shaping your pipeline. This session shows you where to look.
Hosted by Lisa Cole, Erin Strong, and Guest Speaker Matilda Schieren
The hottest new role on marketing job boards is Content Engineer. The problem is that the job descriptions cover an entire department: content strategy, AI workflow design, search optimization, analytics, and B2B storytelling expertise.
That’s not a person. That’s a team.
This session takes apart the unicorn problem and replaces it with something you can build.
You’ll leave with a clearer understanding of why many content programs fail to build AI visibility and what a practical path forward looks like.
Hosted by Lisa Cole, Will Waugh, and Guest Speaker Nathan Thompson
Many marketing teams have experimented with AI tools. A few pilots worked and maybe individual productivity improved. But the results rarely scale beyond those early wins.
In this final session, Lisa, Will, and Nathan explore why tool-first adoption often falls short, and what it takes to build the underlying architecture that helps marketing compound. The conversation looks at operating models, pilot purgatory, fragmented workflows, and the knowledge layers and orchestration needed to turn AI activity into real business impact.
Eighteen months from now, the distance between early movers and everyone else will be measurable in pipeline. This session is about getting on the right side of that gap.
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About the speakers
Right now, buyers are asking AI which vendors solve their problems. They’re getting shortlists, comparing options, ruling vendors out, and forming preferences before a single intent signal reaches your CRM.
This three-part webinar series walks through what it takes to win during that early decision window:
- Diagnose your AI visibility gaps
- Engineer content systems built for generative discovery
- Strengthen authority over time so competitors struggle to replace you
Hosted by Erin Strong and Will Waugh
Strong SEO rankings don’t guarantee that AI systems will recommend you. Our analysis of 70 B2B companies found a consistent pattern across many brands: companies with solid site structure and search performance were still invisible inside generative engines.
If your brand signals are unclear to those systems, you may be invisible during the most influential part of the buyer journey.
What you don’t know about your AI visibility may already be shaping your pipeline. This session shows you where to look.
Hosted by Lisa Cole, Erin Strong, and Guest Speaker Matilda Schieren
The hottest new role on marketing job boards is Content Engineer. The problem is that the job descriptions cover an entire department: content strategy, AI workflow design, search optimization, analytics, and B2B storytelling expertise.
That’s not a person. That’s a team.
This session takes apart the unicorn problem and replaces it with something you can build.
You’ll leave with a clearer understanding of why many content programs fail to build AI visibility and what a practical path forward looks like.
Hosted by Lisa Cole, Will Waugh, and Guest Speaker Nathan Thompson
Many marketing teams have experimented with AI tools. A few pilots worked and maybe individual productivity improved. But the results rarely scale beyond those early wins.
In this final session, Lisa, Will, and Nathan explore why tool-first adoption often falls short, and what it takes to build the underlying architecture that helps marketing compound. The conversation looks at operating models, pilot purgatory, fragmented workflows, and the knowledge layers and orchestration needed to turn AI activity into real business impact.
Eighteen months from now, the distance between early movers and everyone else will be measurable in pipeline. This session is about getting on the right side of that gap.