Content at Scale: Building for AI, Omnichannel, & What's Next

Time to read 7.5 min

Creating content has never been easier, but scaling it effectively across websites, apps, support portals, and emerging AI-driven experiences is becoming increasingly complex. In this episode of Lessons for Tomorrow, Peter Gavrilos of Americaneagle.com sits down with Jeff Eaton, Senior Director of Content Systems at Contentful, to explore the realities of scaling content for modern digital destinations. Their conversation covers content strategy, content operations, governance, and the evolving role of content management, offering practical insights for organizations looking to create more consistent, impactful digital experiences.

For captions, click "CC" within the video player. To read the transcript of this episode, click the transcript link within the description of the video on YouTube.

How Content Strategy Has Evolved Beyond Traditional Marketing Silos

The definition of “content” used to be primarily limited to website copy, blogs, and marketing campaign collateral. But that has now expanded to encompass everything an organization uses to communicate, including product documentation, customer support resources, employee communications, training materials, and educational content. Historically, many organizations managed these assets in separate systems, with marketing, support, and operations teams working independently. However, modern content strategy and content operations increasingly require a more connected approach.

Customers don't distinguish between a product page, a knowledge base article, or a support forum; they evaluate the entire digital experience as a whole. As a result, organizations are breaking down content silos, consolidating systems, and focusing on consistency across every touchpoint to ensure messaging remains accurate, aligned, and effective. This shift has paved the way for a new priority: creating a centralized foundation for managing content at scale.

Why a Single Source of Truth Is Critical for Modern Content Management

As organizations deliver more content across websites, email campaigns, support portals, mobile apps, and other channels, maintaining consistency becomes increasingly difficult. Jeff Eaton points to the long-standing concept of “Create Once, Publish Everywhere” (COPE) as a foundational approach for modern content management and multi-channel content delivery.

Rather than creating separate versions of the same content for every destination, organizations can manage content from a centralized source and distribute it wherever it's needed. This reduces duplication, minimizes maintenance overhead, and helps ensure messaging stays accurate across channels.

The challenge, however, goes beyond technology. Successful content operations require teams to think strategically about how content is reused, adapted, and governed over time. Ultimately, a strong single source of truth enables more scalable omnichannel content experiences while preserving the consistency customers expect from every interaction.

The Real Challenge of Content Scaling Isn't Volume, It's Coordination

Many organizations assume that scaling content simply means creating more content and publishing it across more channels. While that approach may increase output, Eaton argues that it's becoming less effective in an increasingly crowded content landscape. As brands compete for attention across websites, apps, email, social media, and other channels, audiences are experiencing content fatigue, making it harder for sheer volume alone to drive meaningful results.

The rise of AI-generated content is accelerating this trend by making content creation faster and more accessible than ever. As a result, successful organizations are shifting their focus from quantity to quality, relevance, and coordination.

Effective content workflows and strong content governance are becoming essential for ensuring content remains consistent, impactful, and aligned with business goals. Instead of asking how to produce more content, leading organizations are asking a more important question: how can each piece of content deliver greater value? That shift in thinking is the basis for an effective content strategy.

Building a Content Strategy Around Clear Business Outcomes

When organizations focus solely on producing more content, it's easy to lose sight of why that content exists in the first place. Eaton emphasizes that effective content strategy begins with understanding your message, identifying the audience you're trying to reach, and defining the outcome you expect to achieve. In other words, content should support a clear business objective, not simply fill a publishing calendar.

This intentional approach becomes increasingly important as organizations grow and content operations become more complex. Multiple teams, workflows, approval processes, and technologies must all work together to deliver a cohesive digital experience. Without clearly defined ownership, governance, and goals, content creation can quickly become fragmented. As Eaton notes, the challenge isn't just producing content, it's coordinating the people, processes, and systems behind it. Organizations that align content planning with measurable outcomes are better positioned to prioritize what truly delivers value and eliminate work that doesn't move the business forward. With those foundations in place, many organizations are now looking to AI to help accelerate and optimize their content efforts.

"The most important advice that I try to leave organizations with is knowing what your message is, what you're trying to communicate, and what outcome you expect of it." – Jeff Eaton, Senior Director of Content Systems, Contentful

How AI Is Reshaping Content Creation, Governance, & Operations

Generative AI is already transforming how organizations approach content production, but that doesn’t mean it’s a complete solution. While AI content creation can accelerate tasks such as drafting copy, refining language, and expanding ideas, it does not eliminate the need for planning, coordination, and governance. In fact, as AI makes content production easier, strong content operations become even more important.

One of the biggest misconceptions surrounding AI is that it can automatically solve complex content challenges. For organizations managing years of product information, support documentation, marketing assets, and thought leadership content, success still depends on having clear frameworks, defined audiences, established goals, and effective content workflows. Human oversight remains essential to validate outputs, maintain message consistency, and ensure content aligns with business objectives. As Eaton explains, AI is most valuable when it enhances existing processes rather than replacing them. That reality is shaping not only how organizations create content today, but also how they will approach content strategy in the future.

"I think the speed of AI handling that pure production step has also revealed the importance of strong planning, because you can't just tell generative AI, 'Go make me a campaign.' You need the structure." – Jeff Eaton, Senior Director of Content Systems, Contentful

Preparing for the Future of Content in an AI-Driven Digital Landscape

The future of content will be shaped by two parallel trends: the rapid growth of AI content creation and the increasing influence of AI-powered search experiences. Organizations now have unprecedented ability to generate content at scale, but producing more content does not automatically guarantee visibility or engagement. AI is also changing how audiences discover information, with AI overviews and other features increasingly synthesizing and delivering content for users directly in the search platform, dramatically reducing the number of users who click through to a website.

This shift places greater value on structured, trustworthy, and consistent content that can be understood and surfaced across multiple channels. Organizations that connect marketing content, support resources, technical information, and thought leadership into a cohesive omnichannel content strategy will be better positioned to stand out in an increasingly crowded landscape. As AI becomes a gateway between brands and their audiences, creating a reliable and consistent digital experience will be more important than ever. That evolution is also forcing organizations to rethink how they measure the success of their content efforts.

Why Traditional Content Metrics May No Longer Tell the Full Story

For years, content teams relied on familiar metrics such as traffic, page views, and engagement to measure success. However, Eaton argues that those indicators are becoming less reliable as content discovery evolves. In a world increasingly influenced by AI-powered search, a drop in website traffic does not necessarily mean content is underperforming. Organizations must become more intentional about connecting content strategy to business outcomes and understanding whether their content is actually driving the results they care about.

This shift requires a broader view of content performance, one that focuses on outcomes rather than activity alone. High engagement may look impressive on a dashboard, but it does not automatically translate into business value. Content teams must identify which efforts contribute to meaningful objectives and align their content operations accordingly. As Eaton notes, the challenge is no longer generating attention for attention's sake, but measuring whether content is influencing the actions, behaviors, and outcomes that matter most to the organization.

"Are we actually doing the stuff that moves the needle? Or are we just making sure the graph looks good?" – Jeff Eaton, Senior Director of Content Systems, Contentful

Scaling Content Requires Strategy, Structure, & Governance

As content ecosystems grow more complex, organizations can no longer rely on volume alone to drive results. Success requires a thoughtful combination of content strategy, governance, operational efficiency, and AI-enabled workflows. Jeff Eaton's insights highlight the importance of creating intentional, measurable content experiences that serve audiences consistently across every channel.

To hear the full conversation and learn more about scaling content in today's digital landscape, listen to the complete Lessons for Tomorrow episode. If you found these insights valuable, be sure to explore our related resources and share this article with your team.

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About: The Lessons for Tomorrow podcast is centered around conversations between industry experts sharing insights from the past, to apply in the present, to achieve success in the future. This podcast is the "motivational poster" in your ear; each episode is centered around conversations which motivate you to tackle new initiatives at your organization. We will be talking with some of the best and brightest minds in technology and marketing and will hear from the experts themselves about their latest experiences, their most recent challenges, and the road ahead. Every episode has a different story, a different answer, a different approach.

About the Author

Podcast producer at Americaneagle.com

Bryan
Winger

Bryan Winger is a Podcast Producer with Americaneagle.com. He began his career in broadcasting back in Minnesota, producing for several radio stations and syndicated shows throughout the Twin Cities. He has over 5 years of experience in the broadcasting industry, before joining the team at Americaneagle.com. He enjoys playing golf and hockey, watching football on Sundays, and producing music for fun.