So you’re still not sure if you should learn about AI?
Unlike other artificial intelligence (AI) models that only analyze data, generative AI generates completely new materials, making it one of the most impactful marketing topics today. Today, in a very practical way, we will see 10 examples of generative AI in marketing, so you can get a glimpse of its potential.
What is generative artificial intelligence?
Generative artificial intelligence is an evolution of AI; it is an advanced technology capable of creating original content, such as text, code, images, videos and music, based on previous data and patterns.
This capability facilitates the rapid creation of personalized content, saving marketing teams a lot of time and effort by adapting to real information about their audiences’ preferences.
What is an AI agent?
An AI agent is simply a program or system designed to perform specific tasks autonomously, making data-driven decisions and learning from its interactions to improve over time.
ChatGPT, Claude, and Gemini are AI agents. These systems are designed to interact with users, answer questions, generate text, and perform specific tasks. While these are language agents, there are also agents for images, videos, music, etc.
Now that we have the basics down, let’s move on to the importance and then to the examples of generative AI in marketing.
Why is it relevant to learn about generative AI in marketing?
Learning about generative AI can be valuable for a company’s staff, whether it has an in-house marketing department or even relies on an external agency for these activities. The knowledge will allow you to collaborate more effectively and get the most out of your work.
Here are some concrete benefits:
Cost reduction
With this knowledge, staff can spot opportunities to leverage AI in repetitive or low-value tasks (such as answering common customer questions or creating simple content for social media), focusing resources on high-impact actions.
Evaluating proposals and strategies
With a basic understanding of generative AI, staff can better evaluate ideas and strategies. Knowing how AI works and what type of content it can generate helps identify whether proposals are innovative and will truly add value to the business.
Agility in decision-making
By knowing the potential of generative AI, staff can make faster decisions about the type of content they need, the formats or the relevant topics. This makes the workflow more agile.
Cost reduction
With this knowledge, staff can spot opportunities to leverage AI in repetitive or low-value tasks (such as answering common customer questions or creating simple content for social media), focusing resources on high-impact actions.
10 examples of generative AI in marketing
Below is a look at 10 examples of generative AI in marketing, showing not only when AI can be used but also the tools for doing so.
Buyer Persona Creation and Planning Assistant
One of the most useful examples of generative AI in marketing is the use of NotebookLM to create detailed buyer personas and develop plans. This tool allows you to synthesize huge amounts of data from different sources (text, video, audio, spreadsheets, etc.) and synthesize them into summaries in seconds. It is even capable of cross-referencing data. NotebookLM is extremely useful if you want to better understand historical data, reports, market studies, etc. to create buyer persona profiles, action plans or generate reports, avoiding long hours of manual analysis.
Creating textual content
Tools such as ChatGPT, Claude, Gemini and Jasper AI are examples of generative AI in marketing that allow you to generate copy, articles, newsletters, reports and product descriptions, adapting the message to different audiences. It should be noted that they can even be optimized for SEO, which facilitates personalization and improves visibility in search engines without the need for additional writing.
Image generation for advertising and social media
Tools like DALL-E, LLaMA 3, and Canva’s Magic Studio allow marketers to create images for advertising and social media campaigns that are so realistic they eliminate the need for stock image banks. Here’s an example:
Automated video creation
Synthesia and Lumen5 are practical examples of generative AI in marketing that allow businesses to create high-quality videos from just scripts that can be read by AI-generated avatars. This is useful for social media and corporate tutorials, eliminating the need for a production team.
Personalization of content in email marketing
Several email marketing/automation software such as Doppler or MailChimp already offer various services through AI, such as generating templates, texts, images and even sending schedules according to the opening habits of each user.
Optimizing strategies on social networks
With tools such as Emplifi or Hootsuite it is possible to generate ideas for publications, write texts, design images, adapt formats, publish and analyze the results on social networks with the help of AI.
Podcast content production
ElevenLabs allows marketers to create complete podcasts from simple scripts that help brands diversify their content strategy by sharing news, interviews or article summaries in audio format.
Custom Conversational Chats
The ChatGPT API can be used to integrate a chatbot into your website. With this API, you can connect ChatGPT’s language model directly to your platform to create a chatbot that answers questions, provides customer support, offers recommendations, or performs other specific tasks.
Automatic analysis of meetings and video calls
Read AI generates automatic summaries of meetings, whether online or in person, documenting key topics and decisions to optimize team time and facilitate follow-up.
Automated graphic design in Canva
Canva lets you create consistent designs across multiple formats, using generative AI to adapt styles and sizes in seconds. This makes visual management easier across each campaign and ensures a cohesive image.
Conclusion
These examples of generative AI in marketing show how generative artificial intelligence makes it possible to optimize and personalize content without large investments, helping marketing teams create more efficient and relevant strategies.
Are you part of the disruption or are you part of the brands that are being brought down by it?
