Generate high-quality content quickly
Posted: Sat Apr 19, 2025 5:22 am
You can use generative AI to generate high-quality marketing content quickly and efficiently, even if you don't have specific skills or resources.
Through the power of advanced algorithms and natural language processing capabilities, generative AI is capable of producing engaging, high-impact content for your target audience, including:
Text messages (e.g., emails and press releases)
New images and other visual materials (such as presentations and infographics)
Multimedia assets (e.g., explainer videos and voiceovers)
However, due to the creative limitations of AI, our suggestion is not to rely exclusively on it to create content and to use it only for tasks compatible with its algorithmic nature.
For example, you can feed ChatGPT a list of articles published in the previous month and ask it to create a general summary to use in your email newsletter.
Recommended reading
The 3 types of machine learning (and how they can improve ios database your sales)
Limitations of generative AI : reasons to be cautious
The benefits of generative AI are quite clear, but it's also important to understand its limitations; otherwise, you risk becoming dependent on the technology and losing the human qualities that make your business unique.
For example, because many generative AI tools rely on internet publications, the source of the information is not always reliable.
Let's use OpenAI's ChatGPT as an example.
Its free version was originally trained with content available online until 2021, so its responses didn't always contain the most up-to-date information. This no longer happens after updates, but these technologies are always subject to similar limitations.
Because generative AI models rarely tell you the source of the generated data, it's not always possible to know what information has been fabricated. When text-based generative AIs don't know the answers to specific questions or requests, they fabricate a response, a phenomenon called "hallucination."
Information bias is also a problem. AI tools typically struggle with nuances and context, meaning their responses can be biased.
AI's limitations don't prevent its use, but caution is warranted. There are many ways to safely use AI tools in your business.
Through the power of advanced algorithms and natural language processing capabilities, generative AI is capable of producing engaging, high-impact content for your target audience, including:
Text messages (e.g., emails and press releases)
New images and other visual materials (such as presentations and infographics)
Multimedia assets (e.g., explainer videos and voiceovers)
However, due to the creative limitations of AI, our suggestion is not to rely exclusively on it to create content and to use it only for tasks compatible with its algorithmic nature.
For example, you can feed ChatGPT a list of articles published in the previous month and ask it to create a general summary to use in your email newsletter.
Recommended reading
The 3 types of machine learning (and how they can improve ios database your sales)
Limitations of generative AI : reasons to be cautious
The benefits of generative AI are quite clear, but it's also important to understand its limitations; otherwise, you risk becoming dependent on the technology and losing the human qualities that make your business unique.
For example, because many generative AI tools rely on internet publications, the source of the information is not always reliable.
Let's use OpenAI's ChatGPT as an example.
Its free version was originally trained with content available online until 2021, so its responses didn't always contain the most up-to-date information. This no longer happens after updates, but these technologies are always subject to similar limitations.
Because generative AI models rarely tell you the source of the generated data, it's not always possible to know what information has been fabricated. When text-based generative AIs don't know the answers to specific questions or requests, they fabricate a response, a phenomenon called "hallucination."
Information bias is also a problem. AI tools typically struggle with nuances and context, meaning their responses can be biased.
AI's limitations don't prevent its use, but caution is warranted. There are many ways to safely use AI tools in your business.