Instead of only planning future content, systematically tag every published piece with its topic, performance metrics, and the pain point it addresses. This creates a data-rich, reusable library that allows you to identify and remix your most successful content ideas.
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The pressure of a "weekly series" can be paralyzing. Instead, view it as building a library of evergreen assets. The effort diminishes over time as the library grows, and you can leverage and repurpose your best content "reruns" to generate leads.
Instead of guessing what short-form content will resonate, identify existing long-form videos or articles with the highest engagement. Transcribe these proven winners and use AI to extract impactful clips, carousels, and tweets. This method leverages past success to increase the probability of future performance.
Stop treating content as a purely artistic endeavor. The most successful creators apply rigorous scientific testing and investment to creative elements like thumbnails. They understand 'the science of the art,' using data to ensure creative work performs, rather than relying on trends or intuition.
Instead of ad-hoc brainstorming, implement a structured weekly meeting to review an ideation backlog. Explicitly separate ideas into "relevancy-based" (e.g., Super Bowl) and "evergreen" categories. This ensures you capitalize on timely trends while consistently building a bank of long-lasting content.
Instead of asking an AI to repurpose content ad-hoc, instruct it to build a persistent "content repurposing hub." This interactive artifact can take a single input (like a blog post URL) and automatically generate and organize assets for multiple channels (LinkedIn, Twitter, email) in one shareable location, creating a scalable content remixing system.
Instead of maintaining a constant high volume, use it strategically in bursts to quickly acquire data on audience preferences. This “accordion method” allows you to discover what resonates, then contract your efforts into fewer, more in-depth pieces. This balances rapid learning with high-quality production for greater impact.
Escape the content creation hamster wheel by focusing on optimization, not just volume. Instead of writing new posts on similar topics, identify existing high-performing articles and update them with new information, better formatting, and fresh insights. This simplifies your process and boosts search rankings.
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.
Leverage AI to analyze your year's worth of data to quickly identify top-performing content. AI can then go a step further by summarizing these top pieces or extracting key takeaways, creating new derivative content from your existing assets with minimal manual effort.
When organizing your content library, add a specific category for the customer 'pain point' each asset addresses. This allows you to analyze performance based on the problems you're solving for your audience, revealing deeper insights than merely tracking topic popularity.