Create branded content at the speed of culture with AI

tl;dr: Creating content that resonates with your audience is key for building connections. But knowing what will hit the right note can be challenging. In 2023, branded content needs to be timely and relevant, authentic to your brand but also built on current trends. Keeping up with the speed of culture can be exhausting, but with the help of AI, it doesn’t have to be.

In this article, we’ll delve into the exact problems content teams face, how AI can help resolve them, and some real-life use cases for content professionals.

Challenges for content teams

According to recent data, social media users engage more with content that feels fresh and relevant, driving over 70% more exposure and traffic. These are the key challenges content teams face whilst trying to keep up with this demand.

1) Limited resources

As marketing budgets get smaller, teams are more stretched than ever. This creates enormous time pressures, meaning that only a few ideas actually make it out of the gate.

2) Rapid trend cycles

The TikTok era has ushered in trend cycles that come and go so quickly. Often, by the time teams have identified a trend and produced content in response, it might be too late.

3) Audience assumption

In a bid to maximize content, teams frequently miss a step and assume content will resonate with their audiences and end up wasting resources.

How AI changes the game

Think of AI as your smart assistant. It scans vast amounts of data, understands what your audience likes, and suggests content ideas that will likely resonate with them.

Just as a trusted colleague might offer ideas based on their experiences and insights, AI offers suggestions based on patterns and data it observes. The guesswork is eliminated.

See it in action

To bring all of these concepts to life, here’s a demo for Red Bull Media House, designed to walk you through the strategic unlock for brands in the world of content creation. We cover:

Content ideation: Witness an AI brainstorming session in real-time, showcasing how it analyzes current trends and audience preferences, then cross-references your most successful performing content to suggest fresh new relevant content ideas.

Reframing content for specific audiences: Watch as the AI tool transforms a single piece of content to resonate with your defined audience personas. Whether it's a millennial skincare enthusiast or a Gen-Z tech wiz, see how one core idea can be reimagined in multiple ways to cater to diverse audience segments.

Content calendar on autopilot: Experience the magic of an AI-driven content calendar that proactively suggests content ideas around key dates or events in the future, enabling you to plan out content in advance.

As you can see, AI has the power to supercharge content teams. Working together will guarantee your brand makes better connections with your audience and helps your teams create content at the speed of culture.

Applicable use cases

Below are three clear use cases that show how teams can become more confident in their content decisions, ensuring they remain timely, relevant, and engaging.

1) Producing higher-quality content

Teams have to produce content that resonates with their audience. That means being well-researched and ensuring they align with the brand's voice and mission. Doing this consistently can be challenging due to time constraints, varying expertise levels within a team, and the sheer volume of content required.

AI can analyze vast amounts of data to identify what kind of content resonates most with a particular audience. It can provide insights into content structures, styles, and even topics that the target audience prefers. AI tools can also suggest optimization strategies to improve readability and engagement.

Imagine launching a new skincare line. AI could scan reviews of similar products, pinpointing what consumers love or hate. Your brand’s content can then address these points, ensuring it's both relevant and impactful.

2) Understanding different audience personas

Not every consumer interacts with a brand in the same way. Understanding the nuances of your audiences is vital for targeted marketing but is complex given the vast amount of consumer data and behaviors to sift through.

AI can segment and analyze customer data at an unprecedented scale, creating detailed personas. By tracking consumer behaviors, purchase patterns, and online engagement to tailor content suggestions for each persona. Allowing you to create the same piece of content but skew the messaging so that it resonates with different audiences.

Imagine running a bookshop. AI could analyze readers' reviews and preferences. If thrillers are gaining traction, for instance, your brand can promote content aligning with this trend.

3) Generating content consistently

Brands need to maintain a consistent online presence. However brainstorming new ideas, avoiding repetitiveness, and maintaining a publishing schedule can be daunting, especially when resources are limited.

AI can work from a predefined calendar, auto-generating content outlines based on specified criteria, and automate parts of the content creation process, allowing teams to focus on ideation through human creativity.

Imagine having a fashion brand. AI could predict upcoming seasonal trends. This means planning out content months in advance, ensuring you're always ahead of the curve.

Join the conversation

Ready to explore the magic of AI in content creation? Are there specific workflows you wish could be augmented and elevated by AI?

If you are curious about how to integrate AI into your content creation process, we’re helping clients unlock their most valuable AI use case with our half-day Discovery workshop; industry-proven to be the fastest route from theory to prototype.

Contact our team to discover more about Rehab’s market-leading AI consultancy.