A successful AEO strategy requires targeting different stages of user intent. Structure content around three prompt types: 1) Foundational (e.g., "What is a CRM?"), 2) Core (e.g., "What skills should an agency have?"), and 3) Must-Win (e.g., "Who is the best agency to hire?"). This framework aligns content with the buyer's journey.

Once you define your current customer, use AI as a strategic partner to forecast their evolution. Prompt ChatGPT to build out the next phases of their journey—three years from now or after they achieve a specific milestone. This helps you proactively design an ascension model of products that grows with them.

A powerful model for marketing automation involves an agent that not only posts content but also analyzes its performance across the entire funnel—from views down to app conversions. It then identifies successful patterns and generates new content based on those learnings, creating a self-improving engine.

The true power of AI in content isn't generating text, which creates generic content. Instead, use AI as a research partner to analyze existing narratives, identify saturated topics, and generate unique, counter-intuitive angles. This shifts AI's role from a writer to a strategist, ensuring your content is differentiated from the start.

Before asking an AI for creative ideas, feed it a document defining your "category entry points"—the specific moments or triggers when a customer should think of your brand (e.g., "annual planning"). This strategic input ensures the AI's output is tied to specific buying moments, not generic concepts.

Instead of asking AI to generate generic blog posts, use it for strategic ideation. Prompt ChatGPT with a detailed description of your ideal client and their transformation, then ask it to list their top 25 problems or questions. This provides a roadmap for creating highly relevant, problem-solving content.

AI is excellent at answering general, top-of-funnel questions (e.g., "what is X?"). To remain relevant, brands should create content that offers unique human experiences, use cases, and perspectives that an AI cannot replicate, targeting users who seek deeper, post-discovery insights.

Instead of using AI for mass content creation, which leads to overload, leverage it to adapt a core value proposition into highly relevant messaging for each persona within a buying group (CEO, CTO, CFO), addressing their specific pain points.

To maximize AI's impact, don't just find isolated use cases for content or demand gen teams. Instead, map a core process like a campaign workflow and apply AI to augment each stage, from strategy and creation to localization and measurement. AI is workflow-native, not function-native.