Your AI readiness results
AI is changing how content is planned, created, optimized, and discovered — but most content teams aren’t sure whether they’re truly making the most of it in their work and results. That's where we come in.
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Disclaimer: This assessment is intended to help you understand your organisation’s current AI readiness. It provides guidance and directional insights only and is not a formal audit, certification, or guarantee of outcomes.
Detailed Category Breakdown
You are a Learner!
Here's what that means for you and your team:
You’re just at the beginning of your AI journey, dipping your toe into AI-optimized content planning, creation, and delivery. While there’s curiosity and awareness around AI’s potential, your team hasn’t yet built the systems, skills, or confidence to use it consistently or strategically.
AI is likely experimental or unused, and content operations still rely heavily on manual processes. This is a foundational stage — and an important one — because the habits and structures you build now will shape everything that comes next.
Common characteristics
- Solo experimenter: AI is used occasionally and experimentally, often driven by individual curiosity rather than a shared team approach.Â
- Manual workflows: Content workflows rely mostly on manual processes, with limited automation or AI support in place.Â
- Early knowledge builder: Awareness of AI search, structured content, and entity-based optimization is emerging, but still in early stages.
Top three tips for improved AI readiness
- Evaluate your bottlenecks: Spot the slow, manual tasks holding you back — these are prime candidates for AI support.
- Build foundational AI skills: Invest time in learning how to prompt effectively and evaluate AI outputs to determine what you need.
- Strengthen your content structure: Begin organizing your content more systematically — use clear taxonomy, structured data, and consistent naming conventions to build content that humans and machines can understand quickly.
You are an Explorer!
Here's what that means for you and your team:
You’ve moved beyond AI awareness and into experimentation. Your team is actively testing AI for ideation, drafting, or optimization, and there’s clear momentum around what’s possible. However, AI usage likely remains inconsistent and depends heavily on individual initiative rather than shared processes or strategy.
When it comes to AI search, your team probably has a solid foundational understanding of how it connects to traditional SEO and content performance, but governance, reporting, and strategic integration are still evolving. You’re learning fast, and while reliability and scale aren’t entirely in place yet, this early exploration has you well positioned to hit the ground running.Â
Common characteristics
- Keen experimenter: Early pilots or experiments exist, but results aren’t yet repeatable or measurable.
- Sporadic AI user: AI tools are used inconsistently, with minimal standardized workflows.Â
- Knowledge builder: AI search and AI-driven optimization are understood by a few, not the many.
Top three tips for improved AI readiness
- Standardize your experiments: Turn your AI tests into repeatable workflows using consistent prompts, tools, and steps to compare results, measure impact, and build reliable habits.
- Connect AI efforts with business goals: We’ve all got targets to meet; explore how AI can help you get there. AI search could be a good place to start by connecting directly to visibility goals.
Integrate AI into one part of your stack: Pick one workflow, like content translation, and incorporate AI end-to-end. Monitor impact for a set period, then refine and scale what works.
You are a Builder!
Here's what that means for you and your team:
AI is now a regular part of how your content team works. You’ve moved past experimentation and are actively building processes, guidelines, and internal knowledge. Confidence is growing within your team, and AI is delivering real value across planning, creation, optimization, and analysis.
Your content is also likely becoming more structured, metadata and taxonomy are improving, and a composable content model is starting to emerge. The foundation is strong — now the focus shifts to consistency, scale, and refinement.
Common characteristics
- Keen integrator: AI is likely well-embedded into day-to-day content workflows where appropriate.Â
- Process builder: Clear guidelines and processes exist, though adoption may vary across teams or regions.
- Structured creator: Content structure, taxonomy, and metadata are improving, but not yet fully matured.Â
Top three tips for improved AI readiness
- Document what works: Turn your best prompts, workflows, and results into simple playbooks to create consistency in your team.
- Invest in training and enablement: Strengthen AI literacy so teams understand not just how to use AI, but why and when.
Strengthen composable content models: Expand structured, reusable content blocks to support improved omnichannel delivery and AI discoverability.
You are an Optimizer!
Here's what that means for you and your team:
You’re already well-versed in the world of AI, and it acts as a strategic partner across your content operations. Your team uses AI insights to inform decisions, and your content is deliberately structured for AI search and machine understanding. Knowledge graphs, schema markup, and consistently structured content are likely already firmly in place.
Your AI-optimized workflows are efficient, scalable, and supported by a well-integrated tech stack. Meanwhile, governance, training, and quality controls ensure AI usage and outputs remain trustworthy, compliant, and on-brand. The challenge now isn’t adoption and integration— it’s staying ahead.
Common characteristics
- AI-informed: AI seamlessly supports content strategy, optimization, and/or performance analysis.
- Structured by design: Composable, structured content, schema, and entity-based content strategy are mature.
- Regulated quality: Governance, training, and automation support consistent, high-quality output.
Top three tips for improved AI readiness
- Expand your automation: Identify repetitive tasks that still require manual effort and, where possible, automate them to free up time for strategy and higher-impact work.
- Monitor AI search evolution: Stay proactive as AI-driven discovery changes how content is surfaced and evaluated.
- Build team-wide alignment: Help others adopt your AI-optimized workflows by sharing knowledge, running mini-training sessions, and creating guidelines to elevate the whole team across your organization.
You are a Leader!
Here's what that means for you and your team:
The name says it all. Your organization sets the benchmark for AI-driven content excellence. AI is deeply, meaningfully embedded across strategy, systems, workflows, and governance — and your team has the skills and confidence to adapt as technology evolves.
Content is fully structured, machine-readable, and API-first, designed for maximum visibility in AI search and seamless omnichannel delivery. You understand where AI delivers value and apply it wherever it makes sense across your team and operations. You’re not just responding to new developments in AI — you’re shaping how we use it.
Common characteristics
- AI powerhouse: AI is integrated across content, data, governance, and technology systems.Â
- Role model: Advanced content models, custom AI frameworks, predictive analytics, and more are firmly in use.
- Lifelong learner: Continuous experimentation and learning are embedded into the culture to stay at the forefront of AI adoption and optimization.Â
Top three tips for improved AI readiness
- Innovate ahead of the curve: Experiment with emerging tools, custom models, and predictive analytics to stay ahead of industry shifts. Build a culture open to positive change.Â
- Champion governance & AI literacy: Lead the way by maintaining strong quality controls, refining best practices, and helping others grow their AI expertise. Scale expertise through internal communities, playbooks, and training programs.
- Scale through modularity: Continue evolving advanced content models and integration frameworks that let you expand globally, rapidly, and intelligently. In other words: future-proof your stack.
Understanding the AI readiness framework
What's the next stage of your AI readiness trajectory?
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Learner: AI is on the radar, but your team is still a beginner with little to no AI embedded into everyday workflows or strategy.
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Explorer: You’re using AI here and there to speed things up, but it’s not consistent or dependable enough to drive real results at scale yet.
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Builder: AI is part of your day-to-day and helping you move faster, though processes and structure still need tightening to scale what’s working.
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Optimizer: AI reliably supports how you plan, create, and deliver content — now it’s time to lead what’s next in AI-optimized content operations.
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Leader: You're nailing it! AI is baked into how your team works as a strategic asset, letting you scale content, adapt quickly, and stay ahead.
Want to improve your AI readiness?
This guide is just what you need
Download our How to Improve Your AI Readiness whitepaper and dive straight into how to build AI expertise, strengthen content operations, and unpack today's AI best practices in content from the experts.
From buzzword to business critical.
Unpacks the realities of AI content marketing, the limits of legacy systems, and how forward-thinking teams are preparing for the future of content marketing — today.
Why structured content matters more than ever.
To appear in those AI-generated answers, your content needs more than keywords: it needs structure. Explore how to deliver structured content that humans and machines want to read and share.
Enter the AI Knowledge Hub
Dive deeper into AI in content marketing.
From AI-driven content strategy and generative tools to localization, structured content, and the evolving AI search experience — you’ll find fresh insights and deep dives in our dedicated AI Knowledge Hub.
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