Content Writing With AI: Everything You Need to Know

This is the final chapter of the book Content Writing With AI: Principles, Strategies, and Prompts.

I’ve summarized all the chapters below and penned the epilogue with the vote of thanks at the bottom. The book is linked at the end.

As the title says, you can find everything you need to know about writing content with Gen AI tools with the intention of enhancing productivity or increasing income.

ChatGPT content writing workflow

The workflow contains several GPTs that help you with specific phases of the content production process. The first one helps generate title suggestions, the next one aids with the outline, and so on.

This approach breaks each step of the article writing process sufficiently so that the machine can do it at an acceptable level while saving you time. The GPTs and relevant prompts can be found in the ChatGPT content writing workflow chapter.

The GPTs are built around the principles of marketing and content writing. My goal was to minimize prompting while using it to write content. You can find the extremely easy-to-write prompts in the chapter linked in the previous paragraph.

Keep in mind that ChatGPT or any LLM for that matter, has some strengths and limitations which make them great for certain tasks and useless for other action items. Check out the best practices while creating content with AI. I’ve also explained how to put it into action.

Pros and cons of using Gen AI for content writing

In a long-term perspective as a content writer, there are two broad pros and cons of leveraging LLMs for content writing. The pros include:

• Expanding and validating existing ideas. You can quickly generate an abstract of your article which will help you visualize its impact on your audience’s mind. This is because AI is great at generating patterns.

• Automate boring stuff. Collating information from various sources, writing citations, etc., are a few administrative tasks that are time-consuming, tedious, and important.

You can dive deeper into these pros of generative AI and learn how to reap these benefits by using LLMs like GPT-4o and Claude 3.5 Sonnet in a specific way.

The cons include:

• Subconsciously, you will be more dependent on AI for various writing-related tasks. It could be because of the proclivity of humans to get lazy or because we want to push the boundaries of novel technologies and ideas.

• It is quite plausible that you will spend hours trying to integrate various AI-powered tools into your workflow and ChatGPT is no different. Yes, it can get easier if you learn from various content creators in the AI space.

One of the primary reasons these cons exist is the evolving nature of Gen AI technologies. New models are still popping all over and companies are shipping dope features at affordable rates. 

If you practice and invest in knowledge, you can efficiently enhance your content writing workflow to produce better drafts faster.

Is ChatGPT best for content writers

Yes.

It has a huge knowledge base, offers customizability through GPTs, can read web links and search the internet, and allows prompt sharing via the GPT library. These features make ChatGPT great for most text-based creative and learning activities.

I’ve experimented with various proprietary and open-source LLMs and by far, the most consistent experience in terms of qualitative output and productivity for writing comes with GPT-4o.

Moreover, a few months ago, the o1-preview model was released. It is better at reasoning because it recursively evaluates its output before printing it out. Consequently, tasks like generating title suggestions for a keyword or planning a campaign can be done impressively.

Another notable feature dropped in recent history is the ChatGPT Canvas feature which separates the output from your conversation with GPT-4o. You will collaborate with the LLM and treat the job distinctly and objectively.

At the same time, it is not the best model in the market for any specific task. In simpler words, ChatGPT can do most of the things good enough, but nothing exceptionally well. It is a bit unfortunate as OpenAI has all the resources to make it the ideal LLM for content writers.

How AI-generated articles perform organically

SEO has ruined content marketing. One of the obvious telltale signs is that content marketing teams are gauging the impact of their campaign based on where their article ranks in Google search not how much value their readers are getting.

Anyway, a lot of writers and marketers will publish AI-generated content if it ranks higher in the SERPs. Well, it does. As mentioned earlier, LLMs can detect and mimic patterns quite effectively. All keyword-rich content written for SEO follows a certain pattern. If you are smart enough, you can codify it and convert it into prompts. Let the mass production begin.

Now, the question is, should you?

No, of course not.

AI-generated content is bluntly and academically informative. The only people who find machine-written content useful are the ones interacting with it and morons. It is crucial to understand that AI cannot replace human creators because it fails at directional creativity.

So, what’s the consequence?

Well, LLM-written drafts aren’t engaging. Low engagement leads to higher bounce rates and reduced dwell times. Google will see these metrics and realize that your content is valueless and penalize you, regardless of your backlink profile or domain authority.

Challenges faced while writing articles with AI

LLMs predict based on their database. Then, reinforcement learning techniques are employed to refine its outputs. Due to this very nature of this technology, “bugs” like hallucinations exist leading to challenges like inconsistent answers, broad replies, etc.

You can deal with the roadblocks faced while using LLMs by understanding their strengths and weaknesses. This will enable you to delegate the right tasks to the machine and leave the essential “thinking” activities for yourself.

Learning how to use AI for content generation is an investment. The returns will keep increasing over time as LLMs are getting slowly integrated into various processes and workflows. An essential component of writing with AI, therefore, is practice.

As you get more comfortable and experienced, you can realize the nuances of content writing and prompting at a fundamental level. This will enable you to build your custom GPTs based on your personalized requirements.

Epilogue: Thanks for reading

I’ve been working from my home from a computer my entire life. There are many ways to describe that reality. Regardless, it goes without saying that the digital creator community played an immense role in teaching me a lot of things about writing, content marketing, and more.

Another motivation for writing this is to combat all the crappy content out there on various platforms, especially YouTube. The barrier of entry to create and publish a studio-quality video has decreased for the better and worse, leading to influencers selling stupid courses to everyone.

These jackasses are doing it for the likes, ad revenue, and sponsorships which are nothing bad but it is terrible when it leads learners to ashtray. One of the biggest lies they spread is that anyone can make money with AI pretty easily.

The advice I shared in this book contains tips, tricks, and hacks from my personal experience that are battle-tested in my professional career. Over time, it will reach the intended audience as I am furiously promoting it on Medium and will do so on (ironically) YouTube in the near future.

Anyway, to put it concisely, this was my attempt to contribute to that community and help writers, marketers, or entrepreneurs develop crucial skills at a professionally competent level.

I hope you took something helpful away.

Please check out the rest of my literary work.

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Previous Chapter: Making Money With Gen AI: Can Anyone Do It

Index (with Prologue): Content Writing With AI

Content writing with AI