Google Lyria 3 Pro adds structure and length, giving brands custom music at scale

The news: Google released Lyria 3 Pro, a music generation model that builds off Lyria 3 and offers longer tracks with greater customization and creative control.

  • Lyria 3 Pro can create tracks up to 3 minutes long, compared with Lyria 3’s 30-second maximum.
  • Google added that it understands musical composition better than its predecessor, meaning users can prompt specific elements such as intros, verses, choruses and bridges.

Why it’s worth watching: Longer track generation and structured composition mean brands can create near-production-ready music for ads, social videos, podcasts, and sonic branding without relying entirely on agencies or licensing libraries. That lowers costs and shortens turnaround times, especially for always-on content strategies.

Pushing genAI closer to usable creative production could change how brands approach audio content by letting them tailor music to specific audiences or moods—such as region-specific variations—rather than using a single generic track across channels.

The caveat: Tools like Lyria 3 Pro also raise concerns around brand differentiation, originality, and human creativity. If many marketers are using similar prompts, campaign audio could become homogenized and repetitive.

While AI can generate structure and variation, it can also lack taste, cultural context, and strategic intent.

  • Human input will be critical to define what “on-brand” actually sounds like and maintain creativity.
  • Marketers will need creative teams to set guardrails and shape inputs and outputs to prevent genAI audio from sounding interchangeable.

Recommendations for marketers: Tools like Lyria 3 Pro move genAI music from “nice-to-have experiment” to a practical part of the content stack, especially for performance marketing and high-volume creative workflows.

  • Experiment with creative ideation and campaign versioning by generating audio variations tailored to different audiences, platforms, and moments. 
  • Test and iterate based on performance data to identify what resonates most while keeping human creatives in the loop to guide direction and make sure the final audio is distinctive and on-brand.

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