AI is changing how organizations approach content. But generating more content isn’t necessarily the answer. The bigger opportunity is using AI to bring greater focus, strategy, and expertise to the complex content challenges organizations face every day.

In this webinar, Content Science President Colleen Jones introduces ContentIQ, a new AI superagent designed specifically for organizational content.

Colleen and ContentIQ Technology Architect Charlie Wardell begin by exploring why agentic AI is particularly promising for content work. Content Science research has found that while AI adoption for content is widespread, organizations are having a harder time making meaningful progress at scale. In fact, 86% of organizations report using AI for a content task, but only 29% report moderate or fast progress adopting it at scale.

ContentIQ was built with that gap in mind.

The webinar provides an overview of how ContentIQ supports end-to-end content strategy and execution, including four key phases:

  • Vision: Define the future state or North Star for your content.
  • Analysis: Understand your current state through assessments, benchmarking, content inventories, and other forms of analysis.
  • Strategy: Develop a practical plan for moving from your current state toward your vision.
  • Implementation: Turn strategy into action with tasks such as developing tools, planning content, and optimizing and maintaining it.

You’ll also see ContentIQ in action through demonstrations of real use cases—from answering specific content questions to developing vision statements, analyzing content challenges, and creating practical reports and recommendations.

One of the key differentiators is what happens behind the scenes. ContentIQ doesn’t simply send a question to a general-purpose large language model and return an answer. Its agents draw on a specialized knowledge base built from Content Science’s research, expertise, frameworks, models, books, and data accumulated through years of content assessments and implementations. That knowledge base is continually updated, including with new research, insights, articles, and conversations.

The result is an AI system grounded in specialized content intelligence rather than generic advice.

The webinar also explores how organizations can tailor ContentIQ with their own knowledge—including information about their brand, customers, industry, goals, analytics, processes, and more. Enterprise organizations can further customize it to work with existing systems, tools, workflows, and requirements.

Finally, Colleen and Charlie answer audience questions about implementation, security, governance, customization, and how ContentIQ can help combat generic AI-generated content.

As Colleen puts it, a strong content strategy helps prevent AI from going “off the rails” by focusing precisely on who an organization is trying to reach, why, and what will make the content effective.

Curious about ContentIQ? Don’t miss these links.

The Author

Content Science transforms content into business advantage in the age of AI. The award-winning firm partners with the world’s top companies and nonprofits to turn content into a strategic asset that powers digital experiences, customer engagement, and AI innovation. Guided by a mission to help worthy organizations make content make a difference, Content Science combines independent research; expert consulting, creative and technical services; and proprietary technologies—including the patented ContentWRX assessment platform and the ContentIQ AI content superagent—to define bold strategies, build better systems, and achieve breakthrough value.

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