Should Inland Empire Companies Generate Content with ChatGPT (or other generative AI tools)?

An image of a neural network. By DancingPhilosopher – Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=135594693

Inland Empire companies are asking the same question that other companies are asking: “Should my business use ChatGPT (or another generative AI tool) to quickly generate content?”

Bear in mind that I have a vested interest in the answer to this question, because Bredemarket’s business is content generation for other businesses. So I don’t have a natural inclination to tell you not to buy my services and use ChatGPT or Bard or whatever instead.

Nevertheless, I’ll outline the advantages and drawbacks of using automation (in this case generative AI tools) to create written content. Then I’ll look at the three options for your business’ content generation needs. (Surprise! One of those options is to contract with Bredemarket. You’ve been warned that a call to action is coming.)

An “exchange” of questions

As I mentioned in my post about creating and populating Facebook business pages, yesterday afternoon was the first time in years that I had attended a monthly Ontario IDEA Exchange meeting. For those who aren’t familiar with these meetings, they allow small business owners from the Ontario, California area to meet and…um…exchange ideas.

By Mack Male – originally posted to Flickr as Ontario Convention Center, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=9512928

One of the attendees asked me what I thought of ChatGPT.

If you’ve read the Bredemarket blog or the Bredemarket LinkedIn page, you know that I have some thoughts on this. (If you haven’t seen my thoughts, I’ll share them later in this post.)

It turns out that the attendee had a reason for asking the question that went well beyond generative artificial intelligence (generative AI), and touched on automation in general.

  • Should we use ChatGPT, Bard, or another generative AI tool to generate text content, or should we contact a content marketing expert?
  • Similarly, should we use a generative AI tool to generate image content, or should we contact a graphic design expert?
  • Going beyond generative AI, should we use tax preparation software, or should we contact a tax preparation expert?

You can ask this same question about a variety of business services. Should you opt for the (sometimes) cheaper automated solution, or should you get a real person to perform the service?

This can be a loaded question. After all, I can’t tell you that you should always use a person for these tasks when I personally use Freepik and a well-known tax preparation software package.

Designed by Freepik.

So, returning to content, let’s take a (probably non-objective) look at the pros and cons of using generative AI tools for content creation. After all, some of my best friends use generative AI…and they’re still my friends (and obviously not my customers).

Generative AI content advantages

While generative AI isn’t as trendy a topic as it was a few months ago, people are still talking about using generative AI to create text content. And there are clearly some advantages to it.

  • It’s very fast. No, you won’t create your text in a minute. But with properly written prompts (commands to the generative AI tool) and by using a few iterations, you can probably get generative AI text content in five minutes. You won’t get text content of any length from Bredemarket in five minutes.
  • It’s (usually) free. In most cases, you can obtain your text at no cost to you. Again, Bredemarket doesn’t work for free.
  • It’s easy. You don’t need to know how to write. Sure, you need to know how to write the prompt, but you don’t need to worry about the mechanics of writing the text itself, and when to use “its” or “it’s”. You don’t want to sound like a looser, after all. (That was wrong.)
  • It’s “good enough.” Under most circumstances, the text created by a generative AI tool gets the job done, and is obviously better than no text at all.

Generative AI content drawbacks

Perhaps I’m biased, but I think that we can all agree on the drawbacks that I’ve listed below.

  • Potential accuracy issues. Generative AI content is sourced from the Internet, and you know how accurate the Internet can be at times. For example, when I was working for my former employer, I asked one popular generative AI tool to tell me the weaknesses of my employer’s product. The tool returned two responses, one of which was plain wrong.
  • More potential accuracy issues. The way generative AI tools work, most of them provide their answers as if they were most certainly true, with no attempt to provide the probability that the response is correct or incorrect. In essence, Mr. Gen AI is an automated know-it-all with complete certainty in its answers, even when they are obviously wrong.
  • Potential relevancy issues. Depending upon your generative AI tool, you may not have access to the latest data and may instead rely on older data that was available when the generative AI tool was trained. At one point, several of the popular generative AI tools were trained on data from 2021 or earlier, which meant that they knew nothing about events that happened last week.
  • Potential privacy issues. When you feed prompts to a generative AI tool, the prompts are stored by the tool. What if you’re using a public tool, and you’re feeding confidential data from your company to the tool? What’s going to happen to your company’s private data? (This is especially critical when the data crosses international borders, something that gave Samsung serious concern.)
  • Potential tone of voice issues. If your company feeds a prompt to a generative AI tool, and your competitor feeds the same prompt to the same tool, you will get similar or identical responses. If both companies use these responses, then the companies will sound like bland “me-too” providers, with no differentiation.

I’ve touched on a number of these issues in more detail in pieces that I’ve written on the Bredemarket blog (and in one case on LinkedIn). These explain when I use generative AI, and when I do not.

So what should YOUR business do?

Depending upon your business needs, your budget, and your marketing direction, you have three choices.

(UPDATE OCTOBER 23, 2023: “SIX QUESTIONS YOUR CONTENT CREATOR SHOULD ASK YOU IS SO 2022. DOWNLOAD THE NEWER “SEVEN QUESTIONS YOUR CONTENT CREATOR SHOULD ASK YOU” HERE.)

  • Use a generative AI tool to write your content. It’s fast, it’s free, it’s easy. It may be good enough.
  • Use a low-cost writer to write your content. If you want to spend a little money, you can find writers who will work for pennies per word. That’s more than a generative AI tool, but you have a better chance of getting the content you want.
  • Use Bredemarket. I cost more than pennies per word (the cost for my standard 400-600 word writing package is in the brochure on my Bredemarket 400 Short Writing Service page), but Bredemarket’s collaborative kickoff process, including the opening six questions that I ask you, helps to ensure that your firm will get the content that you need.

Authorize Bredemarket, Ontario California’s content marketing expert, to help your firm produce words that return results.

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Bonus: here’s what Google Bard says on the topic (written by Google, not by me)

Sure, here are three advantages and three drawbacks of using generative AI to create written content:

Advantages:

  • Speed: Generative AI can create content much faster than humans. This can be a major advantage for businesses that need to produce a lot of content quickly, such as content marketing agencies or news organizations.
  • Cost-effectiveness: Generative AI can be a more cost-effective way to create content than hiring human writers. This is especially true for tasks that are repetitive or time-consuming, such as writing product descriptions or blog posts.
  • Accuracy: Generative AI can be very accurate in generating content that is factually correct. This is because it is trained on large datasets of text and code.

Drawbacks:

  • Creativity: Generative AI is not as creative as humans. It can only generate content that is based on the data it has been trained on. This means that it may not be able to come up with new ideas or insights.
  • Bias: Generative AI can be biased, depending on the data it is trained on. This is a concern because it could lead to the creation of content that is inaccurate or harmful.
  • Plagiarism: Generative AI can sometimes plagiarize content from other sources. This is because it is trained on a variety of text data, including some that may not be properly cited.

Overall, generative AI can be a valuable tool for creating written content. However, it is important to be aware of its limitations and to use it responsibly.

Here are some additional things to keep in mind when using generative AI to create written content:

  • Always fact-check the content before publishing it. Generative AI can sometimes make mistakes, so it is important to double-check the information.
  • Be clear about the purpose of the content. Are you trying to inform, persuade, or entertain? The purpose of the content will help you determine the tone and style of the writing.
  • Be aware of the audience. Who are you writing for? What are their interests and needs? Tailor the content to your audience.
  • Use generative AI as a tool, not a replacement for human creativity. Generative AI can be a great way to get started with a writing project, but it is important to put your own unique spin on the content.

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