3 min read
min read
March 20, 2024

ChatGPT vs. Wordtune: Choosing the Right AI Writing Tool

ChatGPT vs. Wordtune: Choosing the Right AI Writing Tool

Table of contents

Whatever side of the 'AI for writing' fence you're on, you've probably tried multiple artificial intelligence tools. Initially, they may seem like all-seeing, all-knowing engines. I’ve been down multiple AI-tool rabbit holes trying to find the next powerful writing formula. 

But almost all of these tools come with their own set of limitations. 

Here is the TL;DR:

After two months of everyday experimentation, I found a powerful combination in ChatGPT and Wordtune. 

In this blog I highlight:

  • Critical differences between these tools 
  • How to use these differences to your advantages
  • Logical fallacies and biases to watch out for while using these tools 

How are ChatGPT and Wordtune similar?

Both ChatGPT and Wordtune are AI tools for content writing, meaning they use artificial intelligence to assist with writing use cases and are built on large language models. 

The key difference between both tools is the purpose. ChatGPT is designed to generate natural language responses, whereas Wordtune is used to assist writers by providing analogies, facts, and data to support existing ideas. 

Here is an overview of all the differences: 

While this is a helpful TL;DR, it’s far from the complete picture. Let’s look at what these differences mean and how they can help you with work. 



ChatGPT’s chatbot style interface is a helpful tool for learning and understanding concepts. 

For example, I was recently writing a piece on the ‘Customer Lifetime Value’ and I used ChatGPT to understand the basic definition and use cases. 

A simple prompt such as “What is customer lifetime value and how does it help businesses?” gave me a detailed answer that saved me time I’d have spent solely educating myself about the subject. 

Here’s the response it gave me:

chatgpt interface

This is just an overview of the topic; I’d never use this verbatim in a blog. But I can use these concepts to build a more nuanced argument — which is where Wordtune is a significantly better sparring partner. 

I used ChatGPT’s basic information on CLV to introduce a layered argument about how tracking your CLV was important during the recession. 

This was my exact intro: 

“ If there's one metric that should guide strategic business decisions in a recession economy, it's Customer Lifetime Value (CLV). 

Here’s why:

Acquiring customers is getting more expensive by the day.”


At this stage I used Wordtune  to explain exactly why customers were expensive to acquire. 

Here’s the output Wordtune’s ‘Explain’ feature gave me:

I asked for multiple suggestions till I found one that I could build from. 

Once I found the right one, I edited it with Wordtune’s native editor. 

Wordtune’s editor works in real time to spot lapses in sentence structure, grammar, and word usage. I prefer to fix these errors as I go.

(P.S. I tried performing this editing task on ChatGPT, and while it’s technically possible, you have to delineate exact instructions for the chatbot and manually fix errors based on the input.)

The takeaway: ChatGPT’s interface is designed to help you learn the basics of a concept. Wordtune, on the other hand, can help you build on your unique ideas, iterate, and edit.


You need a text-based prompt as input for ChatGPT. The more detailed your prompt, the better the output. 

For example I used ChatGPT to give me a definition of customer lifetime value but also asked it to add an analogy to liven it up with the prompt:

What is customer lifetime value? Give me a definition and an analogy.”

Here’s the response:

ChatGPT vs wordtune

While this is a good description of the concept of Customer Lifetime Value, the analogy generated by ChatGPT isn’t an analogy at all, it’s an example. 

With Wordtune, you can build on your own ideas by adding:

  • Explanations
  • Emphasis
  • Expansions
  • Examples
  • Analogies
  • Counter arguments
  • Definitions 
  • Conclusions

I asked Wordtune to expand on my explanation by adding an analogy, and here’s what it said. 

This is an analogy I can actually use because it gives me a simple, short, and elegant way to make my point.

The takeaway: Because of the vast difference in ChatGPT’s and Wordtune's methods of input, the usability and accuracy of the output can vary. ChatGPT is viable for a well-structured explanation and Wordtune is best used for adding nuance and levity to your arguments. 


Much like its input, ChatGPT’s output is a text-based response. It’s natural sounding and context-oriented. Outputs can be short answers to factual questions, longer explanations of complex topics, or even more conversational and informal responses to open-ended prompts.

Important note: Amongst OpenAI’s top warning is how ChatGPT’s responses can often be factually incorrect or riddled with biases. 

In the example below, I asked ChatGPT how customer lifetime value and customer acquisition costs are related. 

(Note: The argument I was building was “because it’s getting more expensive to acquire new customers, it’s important to focus on increasing the lifetime value of customers you already have.”)

Here’s ChatGPT’s output:

(You don’t need to read the whole output; there’s a summary after the image.)

In essence, what ChatGPT tells me here is:

  • Customer lifetime value(CLV) and customer acquisition costs are directly related.
  • Definition of CLV
  • Definition of customer acquisition costs and that they are high 
  • Conclusion saying that high CLV and low CAC can make a business profitable. 

In my opinion, this is a very weak link between the two concepts that does not discuss practical overlaps. 

I tried again with a different input. In this case I told ChatGPT exactly what my argument was (“because it’s getting more expensive to acquire new customers, it’s important to focus on increasing the lifetime value of customers you already have”)

This is the output it gave:

(You don’t need to read the whole output; there’s a summary after the image.)

In essence, ChatGPT’s output is a long drawn-out argument in 4 parts:

  • Track CLV when CAC is high because it can help you measure profitability. 
  • High CAC can be hard to recoup if customers don’t buy repeatedly 
  • Definition of CLV and why it’s important 
  • If a business can know that CLV is going to be high, they can invest more in CAC.

Again, most of the arguments here are weakly linked and logically flawed. 

Here’s how:

Wordtune does not produce a text-based response. It can expand on an idea or topic you type out and offers alternative versions for each output. 

Here I used the ‘Expand on …’ feature on the text ‘Customer lifetime value is an important metric’ and added ‘customer acquisition costs are high’. 

Here is Wordtune's output:

This output has a logical, relevant, and valid argument. 

While part of this argument was also generated by ChatGPT, it was tied in with other sub-standard arguments. 

The takeaway: Build your own arguments. While ChatGPT can mimic logical reasoning, it can’t execute it. Use ChatGPT’s prowess to understand concepts and use Wordtune to add weight (in the form of analogies, examples, and facts) to your arguments.


ChatGPT's applications include Q&A chatbots, language translation, and customer service. 

For example, a Q&A chatbot powered by ChatGPT could be used by businesses to answer customer questions in real-time. Similarly, language translation powered by ChatGPT could be used to provide instant translations of text or voice input, which could be useful for global businesses or individuals who communicate with people from different countries. 

Customer service applications could involve using ChatGPT to generate responses to customer queries or complaints, allowing businesses to respond quickly and efficiently.

For users, the main benefit of ChatGPT's applications is the ability to access information or support quickly and easily without using humans. This can save time and effort, and can provide a more convenient experience for users.

Wordtune's applications include customer service, account management, and content creation. 

For example, customer service representatives could use Wordtune to improve the quality and tone of their written responses to customers, potentially leading to better customer satisfaction. Account management applications could involve using Wordtune to help users write better emails, reports, or other types of business communication. 

Here's Wordtune in action for customer support teams: 

wordtune for support teams

Content creation applications could involve using Wordtune to improve the quality of written content, such as blog posts or social media updates.

For users, the main benefit of Wordtune's applications is the ability to improve their writing skills and produce better quality written content. This can help users to communicate more effectively, build stronger relationships with customers, and improve their overall performance in various professional or personal contexts.

Wordtune is an excellent tool for content creators since it can make your blogs, Instagram scripts, and Youtube scripts more interesting, conversational, and engaging. 

Universally, content suffers from sameness. Too many scripts and posts are constructed the exact same but their creators expect different results — everything from virality to conversions. But to add an extra layer of personality, your content needs to be credible, relatable, and convincing. 

Wordtune is perfect for that because it allows you to try different tones and switch between casual and formal writing styles.

Here’s an example:


ChatGPT does not offer customization. 

While ChatGPT is highly effective at generating conversational and contextually appropriate responses, it is not designed to offer customization to individual users. This means that while it can provide information and assistance on a wide variety of topics, it is not able to tailor its responses to the specific needs or preferences of a particular user. 

Wordtune offers customization at each level as it adapts to the user’s writing style and preferences. The tool can be used to continue writing a piece — one paragraph after another — while the reader adds examples, analogies, and statistical data. 

Users can also customize the tool to fit their preferences by selecting different tones or styles, such as casual or professional, depending on their audience.

The takeaway: ChatGPT’s outputs need to be customized individually with elaborate prompts. 


ChatGPT uses text based prompts to generate text-only outputs. 

It does not provide feedback on your writing unless you explicitly ask it to (via a text based prompt). 

Wordtune offers an analysis of the text you’ve input into the editor. You can get feedback (in the form of variations) on sentence structure, grammar, and vocabulary. Based on its analysis, Wordtune provides suggestions for improving your writing style and performance. 

Here’s how different rewrite suggestions look:

You can also customize the feedback you receive by selecting different goals for your writing, such as being more persuasive or using more professional language.

Wordtune also learns from your choices and adapts its feedback to your preferences over time. This means that the more you use the tool, the better it becomes at providing suggestions that match your writing style and goals.

The takeaway: If you need feedback in the form of edit suggestions or paraphrased versions of your work, you’ll need a detailed ChatGPT prompt.


ChatGPT offers APIs and SDKs (Software Development Kit) that developers can use to integrate its technology into their own applications or services. This means that ChatGPT can be accessed through third-party applications and platforms, giving users flexibility in how they interact with the technology. 

This means that if you want to embed ChatGPT into your workspaces (say Google Docs, for example), you’ll need a software developer to do so. 

Wordtune offers a browser extension that you can install on your web browser. The extension works by analyzing the text that you enter into documents and web forms and providing suggestions for improving the writing style and performance.

The takeaway: If you need ChatGPT’s assistance for understanding complex concepts, you can use it in its current chatbot-style form. But if you need in-built capabilities to aid customer support applications or Q/A chatbots, you need developers to build it. 

Wordtune can be used in its existing form through a browser extension.


ChatGPT uses a deep learning algorithm to generate responses to natural language input. This means that the model has been trained on a vast amount of text data and can generate responses that are similar to what a human might say. The output from ChatGPT is typically a response to a user's question or statement, generated by the model based on its training data.

Wordtune, on the other hand, uses a machine learning algorithm to analyze and improve existing text. Specifically, the tool uses a type of natural language processing called language modeling to analyze text and provide suggestions for improvement. 

The takeaway: Both tools operate on learning algorithms but have vastly different outputs. 

Learning Curve

ChatGPT is a deep learning model that requires a certain level of technical expertise to train and customize. Training a language model like ChatGPT involves feeding it large amounts of text data and fine-tuning the model's parameters to achieve optimal performance. This process typically requires a significant amount of computing power, specialized software, and technical knowledge in machine learning and natural language processing.

Also, integrating ChatGPT into an application or system also requires technical expertise. Developers need to understand how to use the model's API and incorporate it into their software code.

On the other hand, Wordtune is designed to be relatively easy to use and requires minimal technical knowledge. The tool is available as a browser extension that can be easily installed and used within a web browser. Users can simply highlight text in their browser window and receive suggestions for improving the writing style and performance of their text.

Wordtune uses a machine learning algorithm to analyze text data and provide suggestions, but the technical details of this algorithm are abstracted away from the user. The user does not need to have any knowledge of machine learning or natural language processing to use the tool effectively.

Here’s what it means: to achieve Wordtune’s feedback and customization capabilities in ChatGPT, you’d first need to write a series of text-based prompts and fine tune them till they work. 

An example of how I used Wordtune to generate an analogy:

To get ChatGPT to do this, here’s the prompt I gave:

“Writing an instagram reel script is a challenging task.”

Rewrite this sentence using an analogy. Make sure the analogy compares important elements of a script writing session with an equally tricky task. 

ChatGPT’s output:

If I don’t specify the level of clarity and preciseness I need, ChatGPT gives me vague analogies that ultimately say nothing.

The takeaway: ChatGPT has a steep learning curve if you want to embed it into native applications. Wordtune can be embedded with just a browser extension.

Speed up content creation

The aim of this piece isn’t to pit one tool against another; it is to highlight the critical differences in their features and capabilities so you can use them more effectively. 

While ChatGPT is an excellent tool for brainstorming and idea generation, Wordtune is a devoted writing assistant that helps you build your own narrative by giving you helpful building blocks.

Do you use Grammarly?

Find out how Wordtune compares here.