Using AI to Uncloak Essential Keywords for Copy Engagement: Applications in Audio Advertising

AI in media isn’t exactly new. It’s been evolving for years, and we’ve all been exploring ways to integrate it into campaigns that give our clients a competitive edge.

Unlocking the Potential of Audio Advertising

Recently, we’ve been identifying additional platforms to expand one of our client’s marketing funnel, enhancing the user journey towards booking. One standout opportunity we uncovered was audio advertising – a medium that offers compelling engagement at an attractive cost. After evaluating different options, we landed on Spotify, thanks to its extensive targeting capabilities.

However, writing engaging audio ad scripts posed a challenge. Traditional media copy is often designed for direct response marketing, optimised for users already in an active search phase. But audio requires a different approach – one that captures attention, builds intrigue, and resonates emotionally.

Leveraging AI for Data-Driven Creative Development

To tackle this, we turned to AI. By analysing three months’ worth of paid social, search, and organic content, along with engagement data, we used AI to surface 10 high-performing keywords that consistently drove the most interaction. These insights became the foundation of our script development, ensuring we spoke in a language that truly resonated with the audience.

This process not only streamlined our creative approach but also provided data-backed confidence in crafting compelling audio ads that cut through the noise. AI isn’t just an efficiency tool – it’s a strategic tool in enhancing engagement across emerging platforms.

Expanding AI-Driven Insights Across Marketing Channels

While our initial focus was on refining audio ad scripts, the impact of AI-driven keyword analysis extends far beyond just one channel. The same methodology can be applied across multiple areas of marketing, ensuring that messaging remains data-driven and audience-centric.

For instance, in paid social and display advertising, these high-engagement keywords can be integrated into ad copy and creative testing to boost relevance and click-through rates. In email marketing, they can guide subject line and content optimisations to increase open and conversion rates. Even in influencer collaborations, AI insights can help identify themes and language that resonate most with the target audience, improving engagement on sponsored content.

Additionally, this AI-powered approach can shape website UX and content strategy, ensuring that landing pages, blog posts, and even chatbot interactions align with the language and topics that naturally engage users. By embedding AI-driven insights across an entire marketing ecosystem, brands can create more cohesive, impactful campaigns that truly connect with their audience at every touchpoint.

The Key Takeaway

AI isn’t just about efficiency. It’s about unlocking deeper audience understanding and applying those insights across the full spectrum of marketing to drive better results.