4 Things to Consider When Using an Artificial Intelligence Writer

While artificially intelligent writing solutions have grown in popularity over the past few years, the industry as a whole remains highly volatile and rapidly changing. As a result, no two engines are the same; currently, there is a vast range in the prices, capabilities, features, and focuses of content creators. A daunting market to navigate, it can be difficult for users to determine which AI writer is the best solution for their needs.

In this article, we will examine four key considerations users should make when utilizing an AI writer.

4 Considerations

#1: Budget

As a part of a rapidly growing industry, there is a large variety of AI content creators available on the market. Due to having different focuses, capabilities, and features, AI solutions have a vast range of plans and pricing models. As expected, the price to use a product can vary significantly between competitors; within a single product, different pricing plans are commonly available as well, typically based on available features and capabilities.

As a result, users should take their budget into consideration when using an AI content creator. Ideally, users would find an economic solution that meets their needs. To improve buyer confidence, users should take advantage of available free trials and demos to test the quality of an AI writer and determine if it can be a useful solution.

#2 Content Strategy

As part of a growing market, AI writers have a diverse range of abilities and functional purposes. Users should consider their own content strategy to determine what features and abilities they need. A failure to do so could result in consumers paying for an AI writer that is unable to meet their expectations.

For example, content managers that plan on targeting long-tail keywords en masse should utilize solutions designed for hyper niche content. With an efficient and intelligent engine, Article Forge is a premier example of an AI writer optimized for the long tail strategy. Alternatively, content managers who plan on producing thought leadership pieces should look for solutions that are designed for more complicated content. Given AI’s struggles with factual accuracy, content managers should consider using human writers for content that requires specific expertise.

No matter the intended use, the user should select the AI writer that best fits their needs.

#3 Control/Customization

When it comes to dictating the content that is being produced, each AI writing solution offers users different levels of control and customization. Some engines function like mad-libs, allowing users to insert all necessary data and information; others just require the user to submit a single keyword. In both cases, the artificially intelligent writers take the given information, cross it with the billions of articles they have read, and create a unique piece of content.

Solutions that use the mad-lib approach are great for users who have a vision for their content and all available information on hand. In this case, the AI is used to connect the given keywords and data into one cohesive piece. Users with just a vague idea or topic may be better fits for solutions that need just a single keyword. These solutions also save a significant amount of the outlining and researching time needed to satisfy a mad-lib style prompt. Further, these solutions can be used to supplement research, as well as sidestep writer’s block.

Depending on the type of content produced and the intended purpose for the AI, users will expect different levels of control. 

#4 Quality and Accuracy of AI Written Content

A drawback to many AI writers, the quality and factual accuracy of generated material can range significantly - especially across different solutions. While predictive modeling and other tools are greatly improving, many engines still struggle to produce consistently accurate and engaging content. As a result, users should air on the side of caution when considering the quality and accuracy of the content written; at minimum, users should review the content produced before publishing it. Users should also select a solution that meets their own quality and accuracy standards.

To help solve this issue, Article Forge built and trained research models that provide its text generation models with relevant factual information as reference material while it is writing. In doing so, the AI article writer can produce more relevant, factually accurate copies on a more consistent basis. 

Conclusion

When using an artificially intelligent writer, there are plenty of different considerations users should make - especially when determining if the solution is a good fit for their needs. Firstly, users should take their budgets into consideration, as well as the type of content they want to produce; in a volatile market with an extensive amount of products, AI writing users will want a solution that meets both their functional and financial requirements. 

After understanding their budget, content managers should look for a solution that best meets their content strategy. Depending on the type of content they wish to produce, or the targeted objective, different solutions may be better fits. For example, those targeting long-tail strategies will find a great fit in Article Forge. That specific plan will also impact the amount of control and customization users will want.

Finally, content managers should carefully consider how important factual accuracy and content quality is. Within the AI writing space, there is a significant range in the quality and accuracy of content produced. Because language generators and deep learning models are extremely diverse, each AI writer has different output quality. When comparing models, users should evaluate which engine’s output best fits their needs.

Given the scope of the market, choosing an AI writer can be daunting — especially given how fast the industry moves. Still, however, there are four key considerations that can make the process significantly easier. To learn more about premier AI writing solutions, visit our Case Studies page.

Frequently Asked Questions

Can AI write blogs?

AI content generators use predictive modeling and natural learning generators to automatically create written content. Along with a blog post, AI can be used to generate articles, headlines, and more.

Is AI writing free?

AI writing generators range in price, but there are currently free solutions on the market. Normally, these versions have limited capabilities but can be upgraded with a paid purchase and subscription. A free trial is also typically available.

What is an AI content generator?

AI content generators create content with the help of artificially intelligent software. Typically, these engines use predictive modeling and natural language generators to automatically write copies of varying lengths. The best AI writer can produce natural-sounding, engaging content in seconds. This content is also search engine friendly.

Whether for headlines, data-driven narratives, press releases, blog posts, or long-form pieces, AI writing has become a useful tool in the content creation process.

What are the benefits of using AI writing software?

There is no singular list of benefits for using AI writing software, as each engine and product differs. Commonly, however, the benefits of AI content generators include:

• Increased Productivity
• Saved money, increased profits
• SEO friendly content

Is this AI writing software legit to use?

Utilizing AI writers is not only legitimate but gradually becoming more common within the industry. Just like how word processors changed the way people wrote, so too do AI content generators now.