ChatGPT: How to Use Generative AI in Content Creation

generative ai for creative production

Research from’s 2022 Content Matters report shows that 8 out of 10 marketers plan to create more content in 2023 than the year before. More and more companies need to create content and spend more to produce it. While demand for content has steadily increased over the past decade, production strategies have changed little. Regardless of current marketing trends, from short videos to podcasts to long-form LinkedIn blogs, content creators continue to adapt quickly and create great content, but not without putting significant pressure on the experience. overall content creation. . Adapting to trends and creating great content has always been essential for all marketing teams, but trends rarely involve innovation, which gives more time to develop ideas to their full potential and alleviate burnout. .

You’ve probably heard of generative AI and its potential to improve the quality and quantity of content while saving time. It sounds almost too good to be true… But is it? Let’s take a high-level look at generative language processing models (ChatGPT in particular), how they can help marketers create content, and see how we at Sagefrog are using this technology to improve content operations and streamline workflows. creative workflows.

Related : How do I save ChatGPT Conversations for Later?

Understanding ChatGPT: What is it?

ChatGPT is a natural language processing (NLP) model developed by OpenAI. It is a generative language model based on the Transformer architecture, a type of neural network. ChatGPT was trained on a large body of textual data to generate human-like responses to natural language input. The model can understand context, generate appropriate responses, and even have consistent conversations with people. The “GPT” in ChatGPT stands for “Generative Pretrained Transformer”, which reflects the architecture of the model and its pre-training on a large amount of textual data. In pre-training, the model is exposed to a huge set of textual data and learns to predict the next word in a sentence. This process allows the model to learn language patterns and structures that it can use to generate new text.

Using Generative AI in content marketing

The possible uses of ChatGPT are diverse and extensive. For example, the template can be used to create product descriptions, summarize long content, and provide customer service through chatbots. It can also be used to help with creative writing tasks, generate content for social media, and even help with translation. In short, ChatGPT is a powerful NLP model that has been pre-trained on a large body of textual data to generate human-like responses to natural language input. Its potential applications are diverse and it has the potential to revolutionize the way we interact with machines and consume content.

Using Sagefrog ChatGPT for creating content

is original and of high quality. . Like Grammarly, we consider ChatGPT another tool in our writing toolkit.

Although our vision of ChatGPT may evolve, Common crawl en Importantly, customers can always trust SaGFrog to deliver high-quality content, tailored to their individual industries, audiences, and goals, at a level unmatched by any AI tool, and with nuance and creativity that only customers can expect. Experts can bid.

As we refine the use of this tool, we believe it will create new efficiencies in content creation that will improve work which we produce for our clients only.

With that in mind, here are some ways Sagefrog’s content department can benefit from ChatGPT. Have your in-house writers explored the platform to benefit from these apps as well? 

For example, explore top trends in a specific industry

  • Prepare content for use in new media
  • For example, extract highlights from an e-book to create a blog or summarizing clinical research articles for use in a white paper
  • Variable language in marketing channels
  • For example, rephrasing a LinkedIn post for use on Twitter or supporting A/B testing efforts
  • Facilitating sketches and early drafts
  • For example, identifying starting points for a guide or generating ideas for subject lines
  • Complete editing efforts
  • For example, support verification with Grammarly