AI or artificial intelligence has become a part of many work streams in the current business ecosystem. Similarly, AI in marketing has also seen an upward trend in terms of usage. The data-driven nature of marketing that uses complex data and patterns to formulate a suitable strategy aligns with AI’s strengths. Marketers currently are leveraging AI in many ways to help them, right from the stage of planning to user retention. Similarly, AI content-generation techniques are also gaining momentum. At the same time, the notion of AI-generated content has left mixed feelings among marketers. Benefits like time-saving and cost-effectiveness of AI-generated content can lead to scaling your content generation operation.
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How does Content Generation AI work?
Artificial Intelligence (AI) content generation services use “Generative AI models” that can create original content in response to a user request. The full details of how they work can fill volumes in a library. However, in summary, these AI models have gone through a long and very complex evolution of training, which enabled them to create usable content. These models are supported by trillions of bytes of data collected by crawling the internet. The AI models then cross-referenced, linked, and modeled all this information. The last step is generally a tuning exercise where these models work with human AI trainers to fine-tune the responses. Human trainers fine-tune the response parameters to ensure the output is usable for the particular use case being generated.
Today, multiple generative AI models have been created which are very capable of solving marketing use cases. AI in content marketing is a revolutionary concept, and many players are trying to adapt AI in marketing in different ways. Creating content has now become much easier with the introduction of AI in marketing.
Here are the 3 most popular AI Content Generation Services
1. AI-Generated Written Content
Creating copy with the help of AI has now become effortless. Generating long-form content, blog pieces, social media posts, email copies, and much more using an AI content generator is catching up now. AI content generators assist writers in almost real-time when solving problems like writer’s block and time crunch. Text generation with the help of AI is a combined process of computational linguistics and natural language processing that results in language texts that convey the message.
Most text creation models use a simple text request (often called a prompt) to generate AI responses. Depending on your tool, the prompt can also include a few qualifier questions like key bullet points, tone of voice, length of content, etc., to ensure that a better output is generated. Basis these inputs, you get the text output after running it through the generative AI model. And in less than a minute, you will have your content ready. It might need some polishing, but that is only about 10% of the effort compared to writing an entire blog post.
Quick, refreshing, and SEO-optimized content with the help of AI writing tools has made the task of writers easier. Tools like Jasper, Frase, Writer Sonic, Copy AI, etc., are some of the popular AI text generators currently available. This is by far the most popular use case for AI generative content services, with all kinds of businesses, big and small businesses, now jumping in to use the capabilities these systems can offer. In Jan’23, one of the largest content publishing websites in the world, BuzzFeed, announced that it would be using the content creation services from the ChatGPT AI model to create content.
2. Lifelike Audio Generation Using AI Voice Generator
Audio content (especially spoken audio content) is booming on the Internet. The latest reports suggest that more than 70% of the US listens to online audio content monthly. And this figure is higher in countries like the UK, Australia, Canada, etc. With the latest mobile being the primary medium for content consumption and an increasingly on-the-go content consumption habit, audio is becoming the favorite content format for many.
Similar to Generative AI models, which help text content creation, AI-based text-to-speech models are helping content marketers generate lifelike audio content almost instantly. While text-to-speech has been around for some time, the use of AI-based models has significantly improved the quality to a point where they are almost indistinguishable from human voices and filled with emotions, modulations, and even breathing, laughter, etc.
Using an AI Voice Generator is easy. You start with the text that you want to create audio from. It can be a short paragraph, a blog post, a research report, or a book. Most advanced AI voice generators like Listen2It will allow importing files directly to convert to voice. You can also format the audio content (similar to how you will format a text document) to add effects like pauses, emphasis, speaking speed, pronunciation changes, etc. You can create conversational-type content with multiple voices in the same audio content piece.
AI voices are now perfected to the point where they have come very close to human voices regarding accents, pitch, frequency, and emotions. And marketers gain largely while generating audio using AI voices as it is quicker and cheaper, allowing the creation of personalized content in many languages. With the help of such AI tools, you no longer have to bear the cost of a recording artist, buying expensive equipment, renting studios, and spending hours in audio editing.
3. AI Image Generation Using Text-To-Image
With the ever-changing landscape of the Artificial Intelligence industry, it is now possible to generate images using text. AI Image generators are trained on large data set of images and deep learning algorithms to generate an image with a text description. There are two processes involved in AI image generation, first, the generator – the process of understanding the description, and second the discriminator – the process of rating the result and choosing the most realistic image.
The AI image generators work similarly to AI text content generation services. You provide a text-based request (called a prompt) to the AI service. Basis the tool you use, you can be asked to provide additional information to improve the quality of the output generated.
From the prompt, the AI image generator then creates a series of image options that you can use for various purposes like social media, content headers, message forwards, posters, etc. Popular AI image generators currently in the market are, Fotor, NightCafe, Dream Studio, etc.
The role of AI in content creation and AI in marketing is surely increasing day by day, and new technologies are evolving rapidly. It is now on the content creator to take advantage of this opportunity.
