Struggling to come up with new content ideas or scale your content strategy while running a business? The good news is, generative AI for content creation can be a great help. Tools like ChatGPT or Bard have been taking the market by storm.
That said, using generative AI, one can come up with creative and high-quality content quickly. Thus saving huge time and effort for businesses. ChatGPT, in just two months after its launch, reached around 100 million monthly active users. Making the tool the fastest-growing AI chatbot till date.
All ears? Let’s explore more about generative AI and how you can use the technology for content creation, personalised for your needs.
What is Generative AI?
Generative AI utilises patterns from existing datasets to create new content. It could be texts, images, videos, marketing ads, code scripts and more.
Although introduced in the 1960s, Artificial Intelligence gained popularity in 2014 after the introduction of generative adversarial networks (GANs). GANs, a machine learning algorithm capable of creating convincing images, audio, and videos of real people.
While the technology provided a faster and easy alternative for creating rich educational content, it also raised concerns about deepfakes. That said, the fear of digitally forged content, and harmful cybersecurity attacks became the hot topic for discussion.
Fast forward, with quite some advancements in large language models (LLMs), AI tools can be trained with trillions of datasets. Today, Chatbots such as ChatGPT, based on generative AI models can respond with creative content. It can also create images or write movie scripts in a matter of time.
AI Solutions that can turn texts from users into images are no more just thoughts. In spite of these advancements, generative AI for content creation is still in its early stages. Given the concerns about bias, accuracy and hallucinations, there is a lot of work that remains to fine tune the technology further.
Gladly, the progress so far is indicative of the many wonderful things generative AI could accomplish. The technology’s inherent capabilities are worth our attention.
Generative AI for Content Creation
Generative AI for content creation uses machine learning techniques to build as well as optimize responses. Whether you want to generate a new blog idea, create an outline for your blog or write the complete blog, it’s all possible with generative AI.
In short, the technology helps users automate the content creation process. Thus, enabling faster turnaround times and much efficient results.
Without getting into too much of technicalities, Generative AI for content creation works with prompts. Users can prompt the AI tools with specific instructions to perform certain actions. For instance, ask ChatGPT to write a paragraph on a topic of your choice. If required, you can also explain the chatbot to edit the response based on a certain style of tone.
Different Generative AI Algorithms for Content Creation
Based on the predictive techniques, generative AI can be divided into following different algorithms:
Supervised Learning Algorithms
It uses labeled datasets to train itself in order to predict outcomes accurately. In other words, supervised learning algorithms make use of input and output datasets to train AI models.
Unsupervised Learning Algorithms
As the name suggests, these are exact opposites to supervised algorithms. The algorithm works with unlabelled data where the pertaining output isn’t available for access to the AI Models. The algorithm tries to associate connections between various data points. Thus, providing a deeper understanding of the data.
Reinforcement Learning Algorithms
This algorithm trains itself from the users’ feedback. There are two basic components of a reinforcement learning algorithm – an agent and an environment. While an agent is responsible for carrying out the action, an environment is where the action happens.
How AI Content Creation Works?
AI content creation, although automated, requires inputs from the users. Thus, the responses will depend on how clearly you provide prompts to the chatbots.
Here are a few things you can keep in mind when creating content with the help of generative AI tools:
Requires Human Assistance
Without proper human guidance, the technology cannot work. For instance, as a marketer, you must provide the AI chatbots with clear instructions. Add suggestions, specifications such as tone of voice, and other descriptors to produce meaningful content.
This way, you can enable the AI to work in the desired fashion. Or else, it might produce vague responses, not suitable to your needs.
Learns Through Practice
AI tools use natural language processing (NLP) models to learn to produce human-like responses. Utilizing the heaps of datasets, NLP models learn to create texts as if written by real persons.
Based on the user feedback system, these AI tools keep improving with time. The more you use the chatbots, the better they get at producing accurate content.
It’s fascinating to know that the tools improve as per users’ preferences. Subsequently, requiring less assistance from the users for delivering accurate results.
Performs Better with References
Adding references with your inputs could help AI tools to produce customized texts, as per your specific needs. You can share links or copy and paste the texts as references. This would allow you to adjust your content to consumer behaviors. For instance, including keywords, short description about your business and other parameters would help AI to stay accurate.
Helps Generate New Ideas
Not sure what to write? Ask the AI tool itself. If you are out of the content ideas, put AI to work. Using NLP strategies, these AI based chatbots could suggest content outlines along with all relevant information you might need. The tools evaluate nuances of articles to identify possible knowledge gaps. And generate content that is highly consistent and noteworthy.
How to Create Content Using Generative Models?
Users try to improvise ways of working around generative models through trial and errors. However, this could be a daunting process. Therefore, I have come up with some basic steps to help you avoid inaccuracies or vague responses.
Align Your Content Goal
Content creation could become a tedious job, unless you have set a goal. Before you begin to write about just anything, establish a content strategy. Identify the goals that you wish to achieve through your content.
This will allow you to recognize the content types best suited to achieve your goals. Think about the topics you wish to cover, your tone of voice, target audience and more.
Descriptive is the detail you provide, the accurate responses you can expect from generative AI models. Thus, the higher the effectiveness of your content will be.
After you have set a content goal, you can move to the next step – finding the right tool.
Choose the Right AI tool
Not one, but there are multiple AI tools available today. While every tool has its own strengths, choosing what suits your job could be hectic.
For instance, Copy.ai and Jasper are most popular for generating written content. However, if you are looking for podcasts, Type Studio would be a better fit. On the other hand, it’s Design.ai that excels at visually-focused content.
That said, you might require some help choosing the AI tool, built just for your tasks. While you can carry your research, don’t forget to check out some options listed at the end of the blog.
Be the Trainer for Your AI Tool
Why is ChatGPT so efficient? The short answer is – Training.
Trained on trillions of datasets, ChatGPT follows a simple workflow. It predicts the next word in the strings of text, one after another.
With years of practice, the large language model (LLM) can today complete a plethora of different tasks assigned to it. But was it the same way a few years back? Well, no. Because of its training with tons of data, the chatbot got accurate and effective with time.
This formula applies to every other AI tool available in the market. You must work with your chosen AI tool to fine tune its responses over a period of time. Such as, your brand identity, voice, goals and other specifications important for generating content that resonates with your customers.
Don’t Forget to Edit
Training is an ongoing process. The more you work with the AI tool, the better it will become. However, you must always verify every information that it throws at you.
Generate content and review it for any edits required. Remember, it is still a software that might never be 100 percent accurate, at least not in a couple of years.
So, always verify every content passed on to you by the AI tool before publishing.
Apart from content itself, you might need to work a little harder to edit the responses to align to your brand voice. This step is very important when you begin using the tool. With time, it will learn to create content specific to your brand tone and writing style.
Benefits of Generative AI for Content Creation
Deep generative models are changing the way we create content. And for good reasons. Let’s find out the various benefits of AI tools.
Saves Time and Effort
Although not fully developed to work on its own, AI tools can still save a lot of your time. You can skip lengthy research processes and ask the chatbots to generate topic ideas. Plan the outline of the blogs, write marketing copy and do a lot more.
Once ready, you just have to verify the facts with potential sources, edit for any inconsistencies and voila. Merge the perks of AI tools with human creativity to cut down your efforts to half.
It Is Cost-Effective
Generating content in a matter of time, AI tools accomplish jobs of multiple humans effortlessly. Thus, saving businesses money and time. Companies can cut down the requirement for a huge content team. Hence, offering entrepreneurs an economical alternative to run businesses at low cost.
Enhances Productivity
With less time and less money spent on content creation, businesses can enhance productivity. And AI tools offer that opportunity to companies. A task requiring hours of effort takes just a few minutes. Isn’t that a huge leap towards a more efficient content generation process?
Minimizes Manual Errors
Human intervention could lead to manual errors. While AI tools automates the content creation process. Thus, leading to high quality and better content production. The LLM based chatbots can maintain consistent brand tone and style. Unlike humans, who might miss out on these factors.
Improves SEO Performance
Yes, AI tools can produce SEO aligned content, when used wisely. It can optimize the texts as per the keywords provided for ranking higher in SERPs. However, there are many other factors responsible for making it to the first page of Google search results. So, it won’t guarantee the results. But could actually help you with optimized content to start with.
Limitations of Generative AI for Content Creation
Like any other software out there, the AI tools carry a few limitations. Let’s explore in detail the various downsides of these chatbots, until corrected.
Creativity is Limited
AI tools lack transparency when generating content. Thus, it is difficult for these tools to experiment with creativity. For instance, fantasizing new abilities.
Concerns About Biased Content
AI can make mistakes too. There have been reports of tools such as ChatGPT producing discriminating responses, while including bias. There are concerns that the technology might be used for crafting phony beliefs and news.
Requires Editing and Refining
AI tools cannot work without human intervention. It isn’t completely automated and requires subsequent prompts to generate accurate content. Plus, users must proofread and accordingly edit AI-generated responses to avoid being offensive or inaccurate.
Recommendation of Generative AI Tools for Content Creation
All set to choose from the list of best AI tools designed for different purposes? Let’s check out the options below:
- ChatGPT: Soaring in popularity from the day of its launch, ChatGPT is an AI based tool from OpenAI. Best for writing blogs, articles, social media posts, emails and product descriptions.
- Article Forge: One of the great generative AI models, this tool can create unique articles, literally on any topic. It can also help optimize articles based on specific keywords for SEO purposes.
- Copy.ai: Similar to ChatGPT, the solution is suitable for those creating content for multiple channels, including websites, emails and more.
- Jarvis: Another popular AI tool from Conversion.ai that can produce blog posts, social media posts and more. Plus, it can also rewrite content automatically.
- Writesonic: As the name suggests, the AI tool can generate blog posts, ad copy, product descriptions, and other content formats quickly and accurately.
- Wordtune: If you need a hand rephrasing existing content, choose Wordtune. It can help make your content more engaging and interesting.
- Contentbot: A generative AI model by MarketMuse, Contentbot produces content based on selected topics of your choice. It also helps with keyword research.
- ChatSpot: Free to use, the tool connects to HubSpot to interact with businesses’ CRM data. It can help automate email responses, collect insights and more.
- Bardeen: Integrate Bardeen with your calendars, emails, apps and other solutions to save time and increase productivity.
- Designs.ai: A generative AI model enabling users to scale their content generation process. You can design logos, visual designs, voiceovers, and more.
Conclusion
Generative AI for content creation is a progressive field. It might have already made huge progress so far, it still has to cover a long path. Undoubtedly, generative AI models are helping businesses complete tasks quickly and efficiently, it shouldn’t be left unmonitored. So, if you are willing to experience the perks of AI, don’t forget to review every content closely.