Generative AI for marketing
How to use generative AI to create content, personalise campaigns and scale your strategy
Generative AI has transformed marketing in barely two years. Tools like ChatGPT, Midjourney, DALL-E and Runway let teams create textual, visual and audiovisual content at a speed and cost that were previously unimaginable.
For marketing teams, this doesn’t mean replacing human creativity but amplifying it. AI generates drafts, variations and options; the human team provides strategy, brand tone and editorial judgment.
Content creation with AI
Text generation is the most mature generative AI use case in marketing. Language models can produce drafts of blog posts, emails, product descriptions, scripts and ad copy in minutes.
- Blog posts and articles: AI generates structured drafts that the editorial team refines and verifies
- Email marketing: subject line variations, segment-personalised body copy and automated sequences
- Ad copy: rapid generation of multiple variations for A/B testing
- Product descriptions: copy adapted by market, tone and distribution channel
- SEO: assisted keyword research, meta descriptions and existing content optimisation
Image and creative generation
Image generation tools have reached a quality level that allows production use in certain contexts: concepting, social media creatives, illustrations and mockups.
Midjourney, DALL-E 3 and Stable Diffusion lead the space. The key lies in mastering visual prompting (detailed style, composition and lighting descriptions) and establishing an approval flow that ensures brand identity consistency.
Generative video and audio
AI video generation has taken a significant leap with tools like Runway Gen-3, Sora and Kling. While it doesn’t yet replace full professional production, it enables creating short clips, motion graphics and social content at a fraction of the cost.
In audio, text-to-speech tools like ElevenLabs produce natural voice-overs in multiple languages, useful for explainer videos, podcasts and IVR systems.
Personalisation at scale
Generative AI lets you personalise content for specific segments or even individual users without scaling the production team. This is especially valuable in ecommerce, email marketing and advertising.
- Hyper-personalised emails: body and offer tailored to purchase history and behaviour
- Dynamic landing pages: headline, copy and CTA generated based on the traffic segment
- Adapted creatives: automatic ad variations by demographics, language or platform
- Contextual chatbots: responses generated in the brand’s tone with the user’s history
Ethics and risks in AI-powered marketing
Using generative AI in marketing raises ethical questions that cannot be ignored. Audience transparency, intellectual property rights of generated content and message accuracy are the marketing team’s responsibilities.
It’s advisable to establish an internal AI usage policy defining what content can be published without human review (none), how AI use is disclosed when relevant and what guardrails apply to prevent bias or misinformation.
Key AI marketing tools
The AI marketing tool ecosystem is growing rapidly. Selection depends on your priority channels, budget and level of integration with your stack.
- Text: ChatGPT, Claude, Jasper, Copy.ai for content generation and copywriting
- Images: Midjourney, DALL-E 3, Adobe Firefly for creatives and design
- Video: Runway, Synthesia, HeyGen for clips, avatars and explainer videos
- Automation: Zapier AI, Make with AI modules for marketing workflows
- Analytics: tools with embedded AI such as GA4 Insights, HubSpot AI and Salesforce Einstein
Key Takeaways
- Generative AI amplifies team creativity, it doesn’t replace it
- Text generation for marketing is the most mature and accessible use case
- Generated images and videos require approval flows to maintain brand consistency
- Personalisation at scale is one of AI’s greatest marketing values
- Establish an internal ethics and transparency policy for AI use
Want to integrate generative AI into your marketing strategy?
We help you identify the right tools, create workflows and establish guidelines for efficient and responsible use.