How generative AI helps me create content 30% faster

As a manager of a small content marketing team at an IT company, I always seek ways to speed up our content production.

Besides conducting extensive keyword and competitor research, talking to salespeople, and collaborating with subject-matter experts to prepare detailed briefs for content writers, I explore new technologies that help create content of higher quality faster.

To that end, I'm currently using a combination of AI-powered content writing tools, including Grammarly , OpenAI 's ChatGPT, and Ludwig.guru ?— specifically, its Sentence Fix feature.

This potent mix of technologies assists me with:

• Creating article outlines. ChatGPT produces decent article and landing page structures. However, I recommend adjusting them based on competitor research (i.e., the top ten results from a Google search) and the keywords you aim to incorporate into your copy.
• Generating parts of blog posts. I found ChatGPT particularly useful in producing drafts of the following types of article sections: definitions (e.g., what is data migration), clarifications (e.g., why is data migration important), and technology implementation strategy or tips (e.g., a seven-step data migration strategy). Still, it's important to have this content reviewed by subject-matter experts?— in my case, software engineers.
• Proofreading and rewriting content. While Grammarly excels at detecting grammar and spelling errors, I'm not particularly keen on its rewriting suggestions, even in the premium version. Instead, I leverage Ludwig.guru's Sentence Fix?to edit content for clarity, break down large sentences into smaller ones, and fine-tune ChatGPT-generated content.

By using the above-mentioned technologies, I can write articles, case studies, emails, and social media posts up to 30% faster?— and so can my amazing team!

We've recently run an experiment, aiming to create three blog posts using the AI tools as much as possible. Here are the articles that emerged from this initiative:

• Creating an AI clone of yourself is no longer a Sci-Fi future. Here's proof.
• Generative AI in retail: top 5 use cases to consider
• Generative AI for supply chain: Pioneering a new era of efficiency and sustainability

AI writing tools have proven to be effective in generating standardized content, including the use of specific technologies across various fields and related challenges. When writing opinion articles or analyzing current and future trends, the intelligent algorithms did not perform well, so our content writer had to rely on traditional research methods.

The experiment helped us define several best practices for using artificial intelligence in general (and generative AI in particular!) for content writing and editing:

1. Always start with a structure, but don't rely solely on generative AI.?For instance, you’re working on a 1,200-word blog post exploring the role of machine learning in medical diagnosis. If you ask ChatGPT to produce the entire thing at once, you’ll get a very high-level, generic blog post draft that is hard to enhance. To avoid this scenario, create a tentative article structure first using ChatGPT and the insights you’ve gleaned from the competitor analysis. By doing this, you’ll get a definitive list of use cases to fuel your further research and stir the algorithms in the right direction.
2. Ask very specific questions.?Despite the recent advances in large language model (LLM) training, the algorithms lack human reasoning and do not always follow the same logic throughout an article. That’s why I recommend asking ChatGPT narrower questions — and boiling down the answers to meaningful insights. For example, if you ask ChatGPT about how ML improves medical diagnosis in ophthalmology, you’ll get a wordy reply with a rather flawed logic where "cost reduction" would for some reason coexist with the benefits like "predicting the progression of diseases." Instead, you could instruct the AI tool to research ML applications in diagnosing specific diseases, such as?age-related macular degeneration (AMD), and augment the data with findings from reputable medical journals and research papers.
3. Use different AI tools to streamline your writing tasks.?More often than not, AI-generated content reads boring and formulaic — even if you do your best to edit it. To improve content readability, you can use Grammarly and Ludwig.guru to?rewrite wordy phrases and sentences. Additionally, you can ask ChatGPT to improve the?overall flow of your text, as well as sentence structures and spelling inconsistencies.

While you'll still have to look for statistics, expert quotes, or examples of companies using specific technology solutions on Google, generative AI tools can significantly speed up your research and provide you with a draft that is fairly easy to tweak.

On a final note, it is currently 100% safe to use generative AI for content writing.?

However, there are several things you need to keep in mind before doing so:

• There is no evidence that Google punishes websites for publishing AI-produced content — at least when it’s been reviewed and edited by humans to provide value to the reader. However, the search engine is likely to penalize content that is mostly auto-generated?in the future.
• ChatGPT might soon introduce a cryptographic watermark to help search engines and plagiarism detection tools distinguish between human-written and AI-generated content. This watermark will likely be a statistical pattern within the text or in punctuation. I believe it’s possible to break the pattern by heavily editing AI content, but this is just a wild guess.
• Some plagiarism-detecting algorithms can remember and identify writing styles of different authors, meaning that they can also detect styles of text-generating tools and track the text back to the algorithms that produced it.

That's all for today. Jump into the comments section to let me know whether you've been using AI for content writing and what you think of it!