How To Use Generative AI To Create Multimodal Marketing Campaigns

In an era where attention spans are short and competition for eyeballs is fierce, multimodal marketing, using text, images, audio, and video together, is no longer optional. Generative AI, the technology that helps marketers create multimodal marketing campaigns with rich, cross‑format content faster, cheaper, and more creatively than ever.

According to Gartner, multimodal generative AI tools are expected to surge from just 1% in 2023 to a staggering 40% by 2027, marking a major shift in how brands interact with audiences. Let’s dive in.

How Generative AI Powers Multimodal Campaigns

Generative AI, powered by large language models (LLMs) and advanced diffusion models, can seamlessly generate and transform content across formats:

  • Text generation (e.g., ChatGPT, Copy.ai)
  • Image generation (e.g., DALL‑E, Stable Diffusion)
  • Video creation/editing (e.g., Runway Gen‑2, Gen‑4, Aleph)
  • Audio/voice synthesis (voiceovers, interactive audio ads)

Platforms like Runway are pushing the envelope in video – their Gen‑2 system can synthesize videos from text and images, and the 2025-released Gen-4 Turbo brings faster, cost-efficient video generation—with tools like Aleph enabling advanced video editing and object manipulation.

Real‑World Case Studies: To create multimodal marketing campaigns

Headway (Edtech Startup)

  • Used Midjourney, HeyGen, and other AI tools to craft video ads, voiceovers, animations, and AI‑generated static images.
  • Achieved a 40% increase in ROI, generating 3.3 billion impressions in the first half of 2024, Business Insider.

Klarna (Fintech)

  • Employed tools like Midjourney, DALL‑E, and Adobe Firefly to automate image creation.
  • Reduced image production costs by $6 million, saving $10 million annually—with AI accounting for 37% of an 11% cut in marketing and sales spend.

IBM + Adobe Firefly

  • Generated 200 images with 1,000+ variations.
  • Resulted in 26× higher engagement than prior benchmarks.

JPMorgan Chase

  • Partnered with Persado for generative AI‑powered ad copy.
  • Saw CTR improvements of up to 450%.

Coca‑Cola

  • Invited consumers to use AI‑powered tools to generate branded artworks (DALL‑E‑based), producing 120,000+ images, and featured them on Times Square and Piccadilly Circus displays.

Heinz

  • Ran a DALL‑E campaign prompting “ketchup” visuals; AI defaulted to Heinz’s iconic bottle.
  • Achieved 38% higher engagement and 1.15 billion earned impressions.

Why It Works? The Benefits to create multimodal marketing campaigns With Generative AI

Enhanced Efficiency & Cost Reduction

Gartner estimates generative AI can cut paid marketing costs by up to 30%. Generative AI significantly improves efficiency by automating time-consuming tasks such as content creation, editing, and repurposing. It allows marketing teams to produce more assets in less time without compromising quality. 

Businesses that adopt generative AI often discover that they can reallocate resources, streamline workflows, and accelerate campaign launches. Real-world examples, such as Klarna and IBM, demonstrate how companies can achieve faster production cycles and reduce creative bottlenecks by embedding AI into their marketing operations. These efficiency gains also lead to substantial cost savings, making generative AI an appealing solution for brands focused on ROI and scalability.

Hyper‑Personalization at Scale

Generative AI excels at personalization by allowing brands to tailor content to individual preferences across multiple touchpoints. From email subject lines and product recommendations to visual styles and messaging tone, AI tools can adapt content dynamically based on user data and behavioral patterns. 

Companies like Starbucks, Sephora, and Netflix are already using AI to create more engaging and customized experiences for their audiences. These personalized interactions foster stronger customer relationships, increase engagement, and help drive long-term brand loyalty. As tools become more refined, AI will continue to empower marketers to deliver hyper-relevant content with unprecedented speed and precision.

Creativity & Engagement

AI is revolutionizing the creative landscape by enabling marketers to experiment with bold and imaginative content formats. Whether it’s surreal artwork, animated stories, or collaborative user-generated campaigns, generative tools are helping brands stand out in crowded digital spaces. 

Campaigns from brands like Heinz, Headway, and Coca‑Cola have showcased how AI can be used to spark public interest and drive meaningful engagement. Beyond visual storytelling, AI also supports immersive experiences—such as avatars, interactive quizzes, and virtual influencers—that invite deeper participation from audiences. These innovations reflect how AI doesn’t just automate creativity; it expands what’s creatively possible.

Emerging Trends in Multimodal AI Marketing

  • Multimodal tools will dominate – The use of multimodal AI in marketing is expected to grow significantly, becoming a key part of content strategies across industries.
  • Voice-driven, immersive, autonomous platforms will rise – Technologies like Alexa-enabled interactive audio ads are setting the stage for more dynamic, conversational brand experiences.
  • Google’s ViGenAiR – This tool enables marketers to automatically reframe video ads for different platforms and extract targeted content assets from a single video.
  • Omneky – Offers AI-powered solutions for ad generation, campaign launching, and optimization with full omnichannel integration, including tools like Smart Ads and Campaign Launcher.

How to  create multimodal marketing campaigns? Step‑by‑Step

Step 1 – Define Strategy

  • Identify target goals and multimodal assets needed (text, image, video, audio).
  • Align formats to channels and objectives (e.g., social snack content vs. immersive web storytelling).

Step 2 – Select the Right Tools

  • Text – ChatGPT, Copy.ai, Persado.
  • Images – DALL‑E, Midjourney, Stable Diffusion, Adobe Firefly.
  • Video – Runway Gen‑2/4/Aleph; Synthesia for efficient video production.
  • Audio – Use voice synthesis platforms or interactive audio ad tools.

Step 3 – Pilot & Prototype (Lean Testing)

  • Start with one format—e.g., an AI‑generated image or short video.
  • A/B test AI variants vs. conventional content.
  • Measure engagement lift, CTR, conversion rates, or cost savings (like IBM’s 26× engagement or JPMorgan’s 450% CTR lift).

Step 4 – Scale with Automation & Personalization

  • Use tools like Omneky for campaign orchestration; ViGenAiR for repurposing video assets.
  • Implement personalization via small segments or dynamic creative optimization.

Step 5 – Iterate & Optimize

  • Use real‑time feedback to refine messaging, visuals, tone, and format.
  • Ensure consistency across all formats and platforms—tools can align via brand voice and style guides.

Step 6 – Mind Ethics & Brand Integrity

  • Be mindful of deepfake or misuse risks—maintain transparency and context.
  • Avoid copyright issues; verify inputs and protection (e.g., Adobe not training on user data).
  • Keep human oversight (review generated assets) and respect brand tone.

Conclusion

Generative AI isn’t here to replace you—it’s here to supercharge your creativity, efficiency, and campaign impact. By combining textual, visual, auditory, and video-based assets, you can meet audiences across mediums and deliver personalized, engaging experiences on a truly scale.

Let generative AI be your multimodal marketing co‑pilot—and turn every campaign into a rich, immersive brand story your audience can’t ignore!

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