A Guide to Using AI for Content Generation

AI-generated content represents text, images, or videos created by passing prompts on AI tools. In this approach, you do not manually write or design. Instead, you use AI for assistance. This is helpful because:

• AI can generate content much faster than you.
• AI allows you to maintain the same tone and style across multiple pieces.
• Whether you need one article or a hundred, AI can generate content at scale without getting tired.
• AI can analyse what works best for your audience and tailor content accordingly.

So, do you also want to generate content using AI? In this article, let’s check out a detailed step-by-step guide that can help you generate high-quality content pieces.

Step 1: Select the right AI Tool

Before using AI for content creation, you need to choose the right tool that serves your purpose. There are many AI tools available in the market, such as:

• ChatGPT for writing
• Canva AI for image design
• Synthesia for AI-generated videos

To select the right AI tool, you can ask yourself the following questions:

• What type of content do you need (blog posts, social media captions, videos, or images)?: Your choice of AI tool will depend on your specific needs.
• What is your budget?: Some AI tools are free, while others require a subscription.
• How tech-savvy are you?: If you’re not very technical, choose a tool with a simple interface.
• How many customisation options are you expecting?: If you want heavy customisations, go for AI tools that allow you to fine-tune content based on your audience.

Step 2: Collect data 

AI needs data to generate content. As per a general rule, the more relevant and high-quality the data, the better the AI’s output will be. Below are some activities you can perform to generate better responses:

• Gather information: Collect information related to the topic you want content on. You can provide AI with:
  • Reference materials
  • Keywords
  • Examples of similar content
• Clean the data: Make sure the information is accurate and free of errors. If AI learns from wrong or poor-quality data, it will produce incorrect or low-quality content.
• Structure the Data: Organise the information properly. If you are training an AI model, you might need to provide categorised data, such as headlines, body text, or key points.

By feeding highly accurate and structured data,  you can let AI create content that is more relevant and engaging for your audience.

Step 3: Train your AI model

Training AI means teaching it how to generate content based on your needs. If you are using a pre-trained AI tool, you do not need to perform this step, as the tool is already trained.

However, if you want AI to generate content in a specific way (say, using a certain writing style or tone), you might need to fine-tune it. Let’s see how you can perform this training:

• Feed AI with examples: You provide AI with samples of the kind of content you want.
• Give it feedback: If AI generates inaccurate or irrelevant content, you have to correct it and tell it what to improve.
• Adjust settings: Some AI tools let you set parameters like tone, length, and formality. Make changes to these settings as needed.

In this step, you let AI understand your style so that it can generate content that matches your brand or personal preference.

Step 4: Generate content

Now that your AI is ready, it’s time to create content. This step is where you actually give AI a command or input (known as prompts) and it produces the output.

Let’s see how it works:

• Provide input: You enter a prompt (like “Write a blog post about social media marketing”) or upload structured data.
• Generate content: AI processes your input and creates content based on what it has learned.
• Customise the output: Many AI tools allow you to refine the content by adjusting word count, tone, or style.

Always remember the better the input you give, the better the AI-generated content will be.

Step 5: Review and edit

Even though AI generates content quickly, it is not perfect. That’s why you must review and edit the generated content to ensure its quality and accuracy. For example, let’s say you ask AI to write an article about the top 10 NBFCs. Now, there could be factual inaccuracies, outdated information, or missing key details.

Let’s see how you can make a deep review:

• Check for errors: Look for grammatical mistakes, factual inaccuracies, or awkward phrasing.
• Improve readability: AI content can sometimes sound robotic. So edit it to make it more engaging and natural.
• Ensure originality: Run the content through plagiarism checkers to ensure it’s unique.
• Make it audience-friendly: Adjust the content based on what your audience prefers (in terms of tone, style, and format).

Please note that AI is a great assistant, but human creativity and judgment are still needed to make your content truly valuable.

Conclusion

AI has made content creation faster and more consistent. With the right AI tools, you can generate high-quality content and easily scale while maintaining quality. However, remember that AI is not a replacement for human creativity. To get the best results, you should:

• Feed AI with well-structured data
• Fine-tune AI outputs
• Review the content before publishing

Whether you are writing articles, creating social media posts, or making product descriptions for an online marketplace, you can use AI using the above steps to generate impactful content.