What is Content Automation and How Does It Work?

Content Automation

Content is insight! It is information in a variety of formats and styles that can make readers think, feel and change their lives. Latest advances in AI such as Natural Language Generation (NLG) have enabled companies to automate routing content automation tasks. All related terms and technologies were explained:

What is content automation?

Content automation refers to a group of technologies that automate manual content marketing processes. Automation is more than just automated content generation. It automates every stage of content creation and maintenance.

What is content marketing?

Inbound and digital marketing are both more effective when content marketing is used. Content marketing raises brand awareness, builds trust, and converts customers into product advocates. Your company’s website and blog, as well as social media platforms like Twitter, Facebook, Pinterest, which have audiences who are constantly looking for new content, is part of content marketing.

What is the content experience?

Content marketing is the process of creating, distributing, and improving the content experience. It is possible to improve the content experience more than content quality.

I enjoy swimming, for example. It would be a bad experience for me to go swimming in snowy waters.

The channel, frequency, and distribution of content are just as important as content. Many content automation software tools can be used to help marketers reach the right customers via the right channel and the right message at right time. These include Crystal Knows (which helps personalize your message by taking into consideration the personality of the recipient) and Nudge (which helps identify accounts to contact).

While we are focusing on the creation of content, you can also explore our AI in the automated marketing section to see other aspects of the content experience.

What is AI use cases in content marketing?

AI can assist organizations with content ideation. It facilitates content creation, curation, distribution, analysis, and performance analysis.

Identifying topics to write about

The success of a piece of content depends on how it is perceived and how it is used. Google Search Console for the web can help you estimate both these values. It’s easy to find topics that are similar to your topic, analyze their potential, and then pick the ones with the greatest potential.

Although it may seem hard to find a topic that is similar, even simple word embedding models based on Google search console data can identify words that are frequently found together. Word embedding (NLP) is one method.

Generating content

NLP and natural language generation technologies (NLG), can be used to speed up the content creation process. Although content creation bots cannot create blog automatic articles that are emotionally charged, they can create content like text, image and sound.


Another application of AI in the content market is proofreading content written by humans. Grammarly, for example, is an artificial intelligence product that analyzes sentences in English and corrects any grammar mistakes.

Personalizing content

AI algorithms can be used for tracking individuals’ behavior patterns and preferences regarding content consumption. These insights can then be used to personalize content. For example, Uberflip aggregates the contents and uses artificial intelligence and intent data to predict, recommend, and automate personalized content experiences.

Real-Time SEO Recommendations

Unchangeable content quickly loses its value. Content producers can feel a lot more burdened by auto-updating. Quark, for instance, updates all documents, content, or components automatically It adjusts the format to suit different devices so that every content is delivered correctly to the right customer. This improves customer experience.

How can a content generation be automated?

The majority of content creation is still manual. It can be difficult to create original, innovative, and effective content from scratch. Content creation is not easy. There are many factors to consider, such as SEO (Search Engine Optimizement), style, uniqueness, and content goals.

AI algorithms can automatically create different types of content, including text, audio, and visual. Deep learning and machine learning use deep learning to search for keywords and analyze them to create optimized content. Machine-generated content may be seen as derivative and not in line with your company’s style or goals. In most cases, human beings will need to either quality-check or improve upon the machine-generated content.

Text Content

Natural Language Generation (NLG) is the AI subbranch that deals with text generation. We list several companies offering NLG services below. You might also be interested in knowing if these companies offer NLG services, as we are also in the text research business. The short answer to that question is no. These solutions were not able to produce concise, data-driven, well-researched articles that are ready for business. These solutions couldn’t even be used as a starting point. We were able to delete their text and start over.

But, B2C and internal documents have different requirements. These tools have been praised by B2C businesses. Quill and Wordsmith both offer tools that make it easy to create reports from data. Our articles are not based on spreadsheets. Interviews, industry analysis, and expert insight are what we rely on.

Articoolo is an automated tool for article generation. Subscription is required to access the full version, as well as other features such as SEO optimization.


Automated Insight’s Wordsmith turns documents into text. Wordsmith can be connected to Excel, Word, or Tableau documents, and it will produce press-ready verbal summaries from the data.

Wordsmith already creates content for large clients:

  • 4K quarterly earnings reports for companies by the Associated Press
  • GreatCall offers 50K personal narratives per week
  • 100K Workout Recaps per Week for Bodybuilding.com

Wordsmith is a SaaS platform that offers 500 outputs per month for $24k/year. Subscription prices drop as more content is produced, which allows large platforms to make content for cents.


Narrative Science’s Quill provides a similar automatic content generation service. Quill can be purchased as a managed service at a cost of $10K per month for most uses.

Image Creation

Google was able to create meaningful sentences from 2017 images. Deep Dream Generator merges two images to create a style that can be used as a template. These filters are common in social media apps. Deep Dream Generator created these examples:


It is easy to read content and computers have been reading it for many years. Google’s duplex system also introduced human-like pauses, filler sounds, and words to its speech.

Although some artists claim that they are using AI algorithms to create music, these are still more niche entertainment than mainstream. The music in the below song was composed using artificial intelligence, while the lyrics were created by Taryn.

Why rely on content automation?

There are many advantages to automating content over traditional content marketing. It is possible

  • Increase efficiency in content creation and management
  • Automate workflows and minimize manual errors
  • Customer experience improved
  • Ensure regulatory compliance

What are the best practices of content automation?

Be cautious when investing in this area. While some vendors make big claims about their tools’ capabilities, we have yet to find a compelling content automation tool that we are able to use. A bot cannot create engaging, popular content without human guidance.

Human effort can augment even the most powerful content automation tool. Full or significant automation of content is impossible even with the most advanced technology. Companies should look for tools to augment their workforce. These tools could include proofreading tools or auto content creators who create automatic article writing that can be edited later by humans. These proofreading tools can be very useful as they offer automated plagiarism checks, tonality assessments, and engagement level gauging.

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