The Benefits of Natural Language AI for Content Creators

In this article, we will discuss the benefits of natural language AI for content creators, highlighting the key reasons why you should consider using it to improve your content output.

The Benefits of Natural Language AI for Content Creators
Image by Freepik

Content creation can be demanding, and sometimes it is difficult to devise efficient workflows that ensure deadlines are met, and your content remains fresh and engaging. This is why exploring new tools and processes that can make your life easier without lowering standards is always important. Natural language processing is one such tool that can make a huge difference.

In this article, we will discuss the benefits of natural language AI for content creators, highlighting the key reasons why you should consider using it to improve your content output.


What is Natural Language AI Content Writing?


Natural Language Processing (NLP) or Natural Language Understanding (NLU) is a combination of artificial intelligence and data science that is used in tools that can serve a range of functions, including content writing. It allows computers to gain a strong comprehension of human language, converting it into data to be used by various software and devices (such as smartphones).

This technology allows users to issue voice and text-based commands and queries to complete different actions. Chatbots are a good example of this, creating coherent responses to a customer’s query thanks to intelligent AI that reacts to keywords. The queries are processed by an algorithm that delivers the most appropriate response to solve the customer’s problem.

Other examples include smart home technology, advanced home security systems, and climate control devices.

Huge amounts of data can be analyzed using natural language AI, and this powerful technology is now applied to content creation. One natural language understanding model that has changed the world of content is OpenAI’s GPT-3. We will discuss GPT-3’s benefits in detail later in the article.


A Quick Intro to How AI Content Writing Works


AI content creation works with natural language understanding/processing to comprehend the meaning of user-submitted text, so it can compile data that can be used to generate coherent and engaging content. This is done by processing both written and verbal language, including regional dialects, abbreviations, colloquialisms, and even spelling mistakes.

The text is broken down into three parts:

  • Semantic information - The meaning of a specific word.
  • Syntactic information - The structure of a sentence.
  • Context information - How words, phrases, and sentences are related.


What are the Benefits of Natural Language AI for Content Creators


We’ve given you a brief introduction to natural language AI for content creation purposes. Now, let’s look at the key benefits of the natural language understanding model GPT-3. It’s a tool that is used by many market-leading tools that have been designed to assist content creators.


Create Lists of Topics Using Natural Language AI


One function of GPT-3 that content creators love is its ability to compile a list of topics that could be written about based on a short sentence or simple prompt. As a content creator, it is sometimes difficult to think of enough interesting subjects when developing your content plan. That’s especially true if you are branching out into new areas you have minimal knowledge about.

Using GPT-3, you could enter a prompt such as “I am a food blogger who wants to promote Italian cuisine, here are some of the topics I will write about,” followed by the dash symbol on the next line to signal that it is a list. Based on this prompt, GPT-3 will return several suggested topics, delving into recent data it has gathered.


Merge Multiple Topics


If you’ve exhausted all the potential of a single subject or topic, you may consider combining that content with another subject area to create something interesting and unique. This is something that GPT-3 can help with.

To merge different topics, you must enter a detailed prompt instructing the tool to combine the topics. First, you must enter a phrase or sentence that tells GPT-3 what your goal is (merging topics), then you need to follow this with the individual topics and a small summary (example below).

#### Combine these different topics into a completely new topic

## Topic 1: The Best Italian Cuisine


## Topic 2: Interesting Roman History Facts


Once you click submit, the tool will provide you with a suggested topic that combines Italian cuisine and historical facts relating to the Roman Empire. Each topic must be broadly connected to guarantee useful results; combining two completely unrelated topics can result in some very strange suggestions.


Transform Freeform Writing into Structured Content


Brainstorming can be a chore, especially when sorting through your rough ideas to transform them into structured content. GPT-3 can sort through your freeform writing and piece it together in a structured way, turning something crude and unorganized into a usable template. The clever algorithms will analyze the freeform writing and highlight anything of conceptual significance to create an article structure, meaning you don’t have to draft it manually.

Natural language AI can be very helpful when it comes to being more organized during the article planning stage. This is vital to know when forming a new business in the content marketing industry to ensure you can keep pace with or surpass the competition. AI can be one of the best weapons a newly formed content creation business has at its disposal.


Summarize Articles and Scrape Keywords


Particularly useful for content creators who focus on more technical topics, GPT-3 can help to summarize complex articles and scrape keywords that can be used for creating your own related content. Keyword research can sometimes take up a lot of time, so using AI for this task can help improve your workflow.

Simply ask the AI to summarize the article with a short prompt, as below.

#### Summarize this technical article for me

## Article

(article content)

## Summary


Does Natural Language AI Content Writing have any Drawbacks?


As a new technology, natural language processing and understanding both have a few drawbacks. However, the benefits greatly outweigh these drawbacks, especially from a content creation perspective.

Some of the drawbacks of natural language processing are:

  • Significant training may be required for new users
  • The data can take a long time to compile before the tool is fully effective
  • Badly defined prompts can result in useless results
  • AI is not 100% dependable and can be hard to predict


What are the Best AI Content Writing Tools?


Open AI’s GPT-3 is considered the best natural language processing AI content writing model, and several tools are based on it already. These tools include Jasper, ChibiAI, Copysmith, and Frase.




Natural language AI for content creators is a fantastic new tool that can significantly improve your workflow. It can help with anything, from more organized planning and less time-consuming keyword research to generating more interesting articles thanks to the ability to merge topics.

GPT-3 is a natural language understanding model used by content tools such as Jasper, and content creators can perform a range of functions by entering straightforward prompts. GPT-3’s advanced algorithms then return results that can be used to create better and more structured content.

Nahla Davies is a software developer and tech writer. Before devoting her work full time to technical writing, she managed — among other intriguing things — to serve as a lead programmer at an Inc. 5,000 experiential branding organization whose clients include Samsung, Time Warner, Netflix, and Sony.