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How to Improve AI Readiness

Practical guidance across seven content marketing functions to help advance your AI implementation and enable you to work smarter with your toolstack.

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What's inside

It’s no secret: AI has transformed what it means to be a marketer, for better or for worse. Teams are stretched thin, budgets are tighter, and leaders are asking the same questions as always — how do we grow, stay relevant, and capture new interest — now with an added twist: how can we leverage AI to do it?

If you’re feeling the pressure, you’re not alone. Experimentation time is running out. Marketers need to demonstrate ROI from AI investments, and knowing how to measure AI performance effectively sets you ahead of the pack.

This whitepaper reframes the challenge into an opportunity: a masterclass on AI adoption for content marketing that focuses on AI content readiness, a forward-looking approach to keep your team productive, adaptable, and strategic — today and in the future.

71% are still in the testing and early integration stages of AI adoption
  • Most of us are under-leveraging AI, and there is a clear AI readiness gap. Most teams are testing tools, not transforming workflows and generating sustainable results.

50% of respondents have a solid or deep understanding of AI search
  • But only 35% have clear measurement frameworks or established KPIs to track performance. 1 in 4 have no AI search metrics at all.

40% of content teams have clear or robust AI governance in place
  • While 28% rely on informal frameworks, or don’t have any at all. This exposes real organizational risk as the demand for marketers to leverage AI continues to grow.

Unpack AI readiness across 7 core content marketing functions:

  1. Content Strategy & Planning: How to combine human insight with AI-driven research.
  2. Content Creation: Collaborate with AI to save time while maintaining brand voice and quality.
  3. Content Structuring & Optimization: Make your content machine-ready without losing the human touch.
  4. Distribution & Publishing: Automate and personalize content delivery across channels.
  5. Performance & Analysis: Measure AI impact and connect content to business outcomes.
  6. Processes & Governance: Build ethical, repeatable AI workflows that protect your brand.
  7. Content Ecosystem Integration: Ensure AI tools and platforms work together seamlessly.

If you’re ready to step into the era of AI-optimized content, this guide helps you and your team grow with the technology — developing the skills, processes, and strategies to stay ahead as marketing continues to evolve.