How to Create Original Content Using A.I.

In this blog post, we’ll explain the four different types of AI-powered tools you can use to create content. We’ll also offer some tips for choosing the right AI tool, how to best integrate it into your current process, and how to ensure your AI content is both original and engaging.

Understanding the types of AI-powered tools

Like any technology, there’s a wide selection of AI-powered tools. Picking the perfect one to put in your tool belt begins with a basic understanding of the different types of tools and your own needs.

Here are four of the most common types of AI tools:

1. Natural language processing (NLP)
   This type of AI tool analyzes text and understands relationships between words and phrases to generate new content, summarize existing content, or perform sentiment analysis. You can use NLP tools to write articles, blog posts, and the like. You’ve likely used these types of AI without realizing it. Good examples of NLPs include email filters, language translators, search engines, and chat boxes. As a new NLP on the scene, ChatGPT has shocked the world by how easy it is to use and how it can write sophisticated articles and code.
2. Machine learning algorithms
   Using existing data, these tools detect patterns and make predictions. Using this information, machine learning algorithms can create exciting product descriptions, engaging headlines, or personalized content for individual users. These include virtual personal assistants you’re likely already using. For example, Netflix uses a machine learning algorithm to present personalized suggestions based on your past choices.
3. Computer vision tools
   This particular type of AI relies on algorithms to examine and/or generate images. With an AI tool in this category, you can quickly create images, infographics, and various other forms of visual content. You can also use it to analyze images (look for a particular face, identify an object in a photo, etc.). These tools are being used in transportation, healthcare, construction, agriculture and retail. Examples of computer vision tools include self-driving cars, traffic flow apps, and self-checkout options at your local store. In marketing, computer vision tools are helping brands learn from facial cues as consumers engage with screens and are creating high-quality realistic images, videos, and even three-dimensional imageries.
4. Text-to-speech technology
   This type of technology has the ability to turn spoken language into text. Think audio versions of written content (articles, blog posts, e-books, etc.) or voiceovers for video content. This AI makes life infinitely better for people with visual and reading impairments. Some of the better-known products include Amazon’s Polly, Google Cloud Text-to-Speech, Synthesis, and dozens more.

Choosing the right AI tool for your needs

Once you’ve matched your needs to a type of AI tool, you’re ready to narrow it down further.

Here are some things to consider:

1. User-friendliness:
   Of the many choices within a category, decide which AI tool will be the simplest for you to learn and use. After all, the goal is to save mental energy on creating content, not spend more of it.
2. Accuracy and reliability:
   Pay attention to the overall quality of an AI tool. Make sure it consistently produces content that meets your standards. Anything else is a waste of time and money.
3. Cost:
   Decide on a tool that fits within your budget but doesn’t fall short of what you really need. Also, keep in mind any other necessary expenditures such as licensing fees, maintenance charges, and the cost of an editor who can double-check your AI content before publication.
4. Level of customer support:
   Try to choose an AI tool with a strong customer support system in case you have questions or need help resolving any issues. Your AI tool is only as useful as far as you understand it.

As a final suggestion, try to test out several AI content creation tools before making a final decision. Make sure they fit comfortably with the features you need.

Ensuring the quality of your AI-generated content

AI tools can seem quite magical in terms of speed, but the content can lose a reader just as fast if the quality is low.

Here’s are some steps to take:

1. Be a schoolmarm.
   Check the content thoroughly for spelling and grammatical errors. Make sure the flow and sentence structure get a solid “A.”
2. Avoid plagiarism.
   There is the potential for AI-generated content to be much too similar to existing content. Use plagiarism checkers or proprietary algorithms to stay on top of this concern.
3. Add some soul.
   AI-generated content can be as exciting as stale toast. Make sure the content is engaging and relevant to your target audience and take every opportunity to add your own insights, experience, humor, and personality.
4. Run some quality control.
   It’s a good idea to compare your AI-generated content to similar content produced by human writers. If the quality is significantly lower, you’ll need to adjust your AI tool’s settings or training data accordingly.

Creating original content using AI

Not to burst your bubble, but don’t assume an AI tool will do all the work and you can walk away. You’ll have to find the balance between utilizing the automation it offers and maintaining proper control over the content.

Here are some helpful tips:

1. Set it up.
   Once you’ve chosen your AI tool, take the time to set it up with all the basic data it needs. This will include creating an account, providing the AI with relevant information and keywords, and choosing the desired format for your content.
2. Train it.
   This may sound odd, but to get the content you truly desire from your AI tool, you’ll need to train it. Provide it with relevant examples so it can understand your brand’s tone, style, and content goals. The more input you give it, the better behaved it will be.
3. Review it.
   You can count on AI-generated content to be quick and easy to create, but it’s still important to review it. You may have to adjust the general tone, style, or structure, as well as verify the content is truly original.
4. Integrate it.
   Once you have an AI tool in your life, It’s likely you’ll have to revise your content creation process to properly integrate it. Determine at what stage you will use it, how you will use it, who will review and edit the output, and finally, how the content will be published and promoted.As an example, here at Daisho Creative, we established the following workflow for the creation of blogs for clients using AI:
   1. Establish a calendar of topics to be written about.
   2. Use ChatGPT to write the initial outline and draft.
   3. Run the content through SEO optimization programs such as SEMrush and Yoast.
   4. Read content for accuracy and quality.
   5. Use a professional writer/editor to revise the content to improve engagement, capture the correct tone, and add personality.
   6. Run the final article through an AI checker for originality and repeat the process if plagiarism or AI content is spotted.
   7. Upload the final blog to the website for a soft launch.
   8. Go live after the final client approval.
5.  Evaluate it.
   To maximize the advantages of your AI tool, you’ll need to continually review its performance. Is your content getting read and shared by your target audience? If not, adjustments will need to be made.

Undoubtedly, our process will evolve. AI will continue to become smarter, Google will become more adept at spotting AI content, and so will we as consumers and creators. The game here is to be flexible in how you work and how you use technology to produce better and faster content.

Maximizing the impact of your AI-generated content

Once you are confident you have a high quality, original piece of AI-generated content, it’s time to send it out into the world and make sure it’s seen and shared.

Here are a few strategies:

1. Promote, promote, promote:
   To reach a wide audience, publish your AI-generated content in every possible appropriate place: social media channels, email newsletters, advertising campaigns, and any other marketing efforts.
2. Don’t skip optimization:
   Even with AI-generated content, SEO and keyword optimization is still needed. Make sure relevant keywords are being used throughout the content and the structure is search engine friendly.
3. Reach out to your audience:
   Engaging with your readers and viewers on a personal level will make the difference between content that sits and content that is shared. Respond to comments, ask for feedback, and encourage people to share the content with their own connections.
4. Track its impact:
   You can track the performance of your AI-generated content using any number of analytics tools and monitor page views, engagement time, and conversion rates. In this way, you’ll be able to narrow down what’s working and what isn’t.

AI-generated content is here to stay. If you feel out of your element with artificial intelligence, don’t worry. AI-tools are simply here to provide assistance and offer solutions. Don’t dismiss the possibilities before you’ve really checked them out!

And if you are wondering if AI-generated content is even real, we’ll reveal this blog was written with the help of Chat GPT and then masterfully shaped by our editor and the process we described previously. What did we gain?  We saved writing and research time up front, and honestly, we had some fun prompting AI to explain how to use its very own talents.

Still wondering how to best use AI to produce content?

We’d be happy to talk with you…human to human! Schedule a free 30-minute call with us. We’ll answer your questions and share ideas. If you’d like help in content creation for your website using AI, let’s discuss the possibilities!