Introduction to AI Content
According to a 2022 Content Matters report, 80% of marketers plan to create more content next year than they did this year. This statistic is both staggering and unsurprising for content creators. The demand for diverse and high-quality content is ever-increasing, but the time and resources available to content teams are not. Enter Generative AI, a groundbreaking tool that promises to revolutionize content creation by automating certain tasks and giving creators more time to focus on ideation and quality. This blog post delves into how Generative AI can be a game-changer for your content operations.
Generative AI is a type of artificial intelligence that can create new content based on human inputs. It leverages natural language learning models and consumes content to predict the most likely next word in a string of text. The technology is particularly useful for productivity and creativity, as it can help you convey your ideas more efficiently.
Generative AI can be accessed through large language models or AI applications like Jasper. These applications pull from multiple AI models to serve the user’s needs more effectively. As the technology evolves, we can expect a wide variety of AI models with varying strengths and specialisations to emerge.
Prompts are the inputs that guide the AI in generating content. The quality of the output often depends on the quality of the prompt. For instance, a prompt like “Write a sentence on Audre Lorde” could yield an output like “Audre Lorde was an influential American writer, poet, and civil rights activist.”
Generative AI offers a plethora of use-cases for marketers, from generating custom marketing copy to creating product descriptions and even writing blog posts. It can also help in ideation, simplifying complex ideas, creating visuals, and breaking through writer’s block.
While Generative AI is a powerful tool, it has its limitations. It cannot conduct original research, provide lived experiences, or ensure quality. Therefore, human intervention is essential for fact-checking and quality control.
Generative AI can sometimes produce biased content, as it learns from existing data. Human creators and editors are essential to ensure that AI-generated content is inclusive and thoughtful.
Google does not penalise AI-generated content per se; it penalizes low-quality content. Therefore, it’s crucial to invest time in research and original ideas to ensure the quality of your content. Learn about the EEAT principles.
The risk of plagiarism with Generative AI is low. Tools like Jasper have built-in plagiarism checkers to ensure the originality of the content.
Incorporating AI into your team can significantly impact productivity. However, it’s essential to train your team to use AI effectively and track the outcomes to adapt and improve.
Generative AI is poised to drastically evolve how content teams operate. While it’s still in its early stages, its potential to revolutionise content creation is immense.