Automated Writing Software - The Pros and Cons

What are the Pros and Cons of automated writing software, and are there any risk associated with using automation tools for writing?

Written by
Daniel Højris Bæk
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April 24, 2024

Are you curious about the potential of automated writing software?

With the ever-increasing demand for content - especially if you have a focus on SEO - it's no surprise that many businesses are turning to automated writing software to help them meet their needs.

But what exactly is automated writing software, and how can it benefit your business?

In this blog post, we'll explore the advantages of using automated writing software and how it can help you create content quickly and efficiently.

What is Automated Writing Software?

The term 'Automated writing software' covers a range of different technologies and tools.  

At its most basic level, automated writing software can refer to any type of tool that helps to streamline the writing process. This includes tools such as grammar checkers, spell checkers, and text expanders.

An example of a widely used grammar and spell checker is Grammarly.

More advanced automated writing software includes natural language processing (NLP) tools, which use artificial intelligence (AI) to generate content.

These have especially grown with the rise of generative AI models (like GPT-3 from OpenAI) and are often mentioned as 'AI writers'.

These tools can be used to create content from scratch or to rewrite existing content.

Our own SEO.ai tools is a great example of such an AI writer tool.

See a short presentation of it here (you are also more than welcome to book a demo).

What are the Benefits of Automated Writing Software? (Pros)

The main benefit of using automated writing software is that it can help you create content quickly and efficiently.

By automating certain tasks, such as grammar and spelling checks, you can save time and effort that would otherwise be spent manually checking and correcting your work.

Although the real speed up of the process lies in the automated tools with generative powers where the focus is to speed up the process of the content writer.

In many cases as much as 5x to 10x.

The writer will be able to get assistance with elements like:

  • title suggestions
  • content outlines and subheadings
  • text and drafts for introductions
  • text and drafts for whole paragraphs
  • illustration and image generation
  • audience identification (I have so far only seen this on SEO.ai)
  • keyword identification and analysis (if they have a focus on SEO)

What is the risk of using Automated Writing Software? (Cons)

Using automated writing software can be risky, especially when it comes to SEO.

Google has strict guidelines when it comes to content, and automated writing software may not always adhere to these guidelines if not used properly.

Earlier Google was clear on its stand; You had to avoid 'automatically generated content'.

Today their guidelines on AI content and automation have been updated, so it's clarified that it's the spammy content sometimes generated by automation they want to get rid of.

But this also highlights the main risk of using Automated Writing Software for creating text and content. Creating low-quality content that does not have the user in mind.

While this might seeing lucrative at first, generating massive amounts of text on endless topics, it's not a long-term strategy.

If Google detects your quality is low they will downrank the content. Whether they will also provide a bigger penalty for the site/domain as a whole, is yet up in the air.

Read more at https://developers.google.com/search/docs/essentials/spam-policies

The biggest push in regards to this was Google's 'Helpful content update' in August 2022.

Also from a user and brand perspective it's not a good experience stumbling upon some of this random garbage some automated tools might produce.

How does automated writing software work?

It depends on what type of tools in consideration.

Most of the AI writers tool in the automated writing categories are built on top of a generative language model. This means that the software is trained on a large corpus of text, and then it can generate new text based on the patterns it has learned.

The software can also be trained on specific topics, which will allow it to generate more relevant content.

The software can also be trained to generate content in a specific style, such as a blog post or an article. This can be useful for creating content that is tailored to a specific audience.

Some of the most advanced language models are currently GPT-3 from OpenAI and LaMDA from Google.

Illustration of LaMDA.

Although these might be the leading ones right now, the space is developing rapidly. The best illustration of this is that the GPT-3 version is 100x more training parameters. And this is with GPT-2 being released in February 2019 and GPT-3 being released in June 2020 - so merely 16 months between the two versions.

Illustration of the training parameters from Springboard

When a model like GPT-3 generates text, it uses a range of different techniques.

GPT-3 uses a combination of likelihood, transformer architecture, attention, and beam search to generate human-like text. Especially the beam search is a novelty. It looks at multiple possible outcomes and then chooses the best one. It helps GPT-3 generate more accurate results by looking at multiple possibilities and choosing the best one.

But this also means that some of the text generated might be possible to identify by other algorithms and differentiate between machine-generated and human-generated texts.

What are some of the best automated writing software?

We have tried many (not all, as there are continuously emerging new ones) and we might be a bit biased on this topic and of course, but would always recommend that you try our own SEO.ai platform.

But besides this recommendation, if you are looking for the best automated software, we would advise that you start of by analyzing what you need is and what you could need some machine automation to help with as many are specialized in different areas.

These are some of the elements to consider:

  1. What type of content do you need to create? Is it blog post, essays or marketing copy
  2. Is unique text generation essential, or are you more looking for automation of other task like formatting, spell-checking or grammer-checking
  3. Does it need to work in multiple-language or just English
  4. How much do you want to be in control? Do you just want it to generate as much as possible as fast as possible? Or would you rather have it assist your creative writing?

Once you have identified the answers to these questions, you can start to look for the best automated writing software for your needs.

Automated Writing Software - The Pros and Cons

This is an article written by:

+20 years of experience from various digital agencies. Passionate about AI (artificial intelligence) and the superpowers it can unlock. I had my first experience with SEO back in 2001, working at a Danish web agency.