With so many content marketing tools available, it’s no wonder that most marketers find themselves overwhelmed by the complexity of all of it. Take a look at our list of AI content creation tools and see how easy it is to get started!
Want to save time? We’ve compiled a list of the best content automation tools on the market. Content marketing can be time-consuming, so why not take an AI powered tool that uses Machine Learning to do it for you? Also, we’ll cover some free options that might be more easily implemented into your website.
What is content automation?
Content automation is a set of technologies that automate manual processes in content marketing. Content automation is more than automated content generation. Its purpose is to automate every stage of the content lifecycle from content generation to keeping the content up-to-date.
What is content marketing?
Content marketing is one of the most effective strategies for inbound and digital marketing. Content raises awareness of your brand, builds trust with your audience and turns them into customers who may become product evangelists. Content marketing is related to both your company’s own website and blog as well as social media platforms such as Twitter, Facebook, Pinterest which have audiences that are exploring new content on a daily basis.
What is the content experience?
Content marketing process is creating and distributing the content and improving the content experience. Improving content experience can be more important than improving content quality.
For example; I like swimming. If you take me to swimming on a snowy day, probably it would not be the best swimming experience I have ever had (I know there are Nordic people swimming in ice-cold waters, I am not one of them).
Therefore, the channel, time, frequency or rather content distribution are also as important as the content. There are many software tools that can help marketers reach the right customer via the right channel with the right message at the right time such as Nudge (helps identify which accounts to contact) and Crystal Knows (helps personalize your message taking into account the recipient’s personality).
Here we focus on creating the content but feel free to examine our AI in marketing section to explore other parts of the content experience.
What are AI uses cases in content marketing?
AI can assist organizations in content ideation by facilitating content creation, curation and distribution, and analysis of the content’s performance.
Identifying topics to write about
Success of a piece of content relies on the interest in the topic and how existing content satisfies that interest. For example, both of these values can be estimated using free tools like Google Search Console for the web. It is a relatively easy and automatable task to come up with adjacent topics to write about, analyze their potential and pick the topics with the most potential.
Coming up with adjacent topic may seem difficult, however, even relatively simple word embedding models trained on Google search console data can identify similar words based on how frequently they appear together. Word embedding is one of Natural Language Processing (NLP) techniques
Generating content
With the help of NLP and natural language generation (NLG) technologies, organizations can fasten the process of content creation. Though content creation bots are not equipped to create complete emotionally moving blog articles yet, it can create content such as text, image, and sound.
Proofreading
Proofreading content that is written by a human is another application area of AI in content marketing. For example, Grammarly is a sophisticated artificial intelligence product built to analyze sentences written in English and corrects user when it identifies grammar mistakes.
Personalizing content
AI algorithms can be used to track individuals’ behavioral patterns and their preferences regarding content consumption. These insights can be used to personalize content. For example, Überflip aggregates the contents and uses artificial intelligence and intent data to predict, recommend, and automate personalized content experiences.
Real-Time SEO Recommendations
There are tools that claim to increase an article’s chances of getting ranked higher on search engines by using AI. We are quite sceptical about the current products on the market that tend to use simplistic approaches such as keyword counting but this is an area where a sophisticated solution could make an impact.
Updating content
Content that remains unchanged quickly loses value. Auto-updating can take a significant burden from content producers. Quark, for example, automatically updates every document, content, and component. It also automatically adjusts the format for different devices to ensure that each content is delivered to right customer in a right way to improve the customer experience.
How can content generation be automated?
Content creation is still mostly manual. Getting started from scratch, creating innovative, effective and original content is a hard job. There are many aspects that should be considered during content creation such as SEO (Search Engine Optimization), style, uniqueness and content objectives.
Different types of content such as visual, audio and text can be automatically created by AI algorithms. Machine learning and deep learning techniques search, analyze and learn from articles that are related to a given keyword to create unique and optimized content. However, most machine generated content will be perceived as derivative, may not fit the style of your organization or serve your content goals. Therefore, humans in most cases either need to quality check or build upon the content auto generated by machines.
Text Content:
The subbranch of AI that deals with text generation is called Natural Language Generation (NLG). We list several companies offering NLG services below. Since we are also in the business of preparing text research, you could ask if we leverage these companies’ services. The short answer is No. When we tested these solutions, we couldn’t find a solution that could prepare B2B-ready, concise, data-driven, well-researched articles. They couldn’t even serve as a starting point, deleting their text and restarting on our own was faster.
However, in B2C as well as internal documents, the requirements are different. We have seen testimonials from B2C companies using such tools. Additionally, creating reports from data is straightforward and companies like Quill and Wordsmith offer promising tools for that. However, our articles are based on more than simple spreadsheets. We rely on interviews, expert insights and industry analysis so we couldn’t use those tools.
Why Do You Need Content Automation?
Content automation provides an excellent way for businesses to do the two most important things: manage expenses and grow revenue. Do you think business owners will ever get tired of that? In fact, content automation can actually drive ROI. It’s also ripe with benefits. There are numerous advantages to content marketing automation, including:
- Saving time
- Reducing costs
- Making smarter decisions
- Generating higher quality leads
- Improving team accountability
- Inspiring creativity and ideation
- Building a more relevant social media presence
Multiple trends are emerging in content marketing. To continue to generate leads and profits through content marketing, you’ll need to evolve and make sure of the following:
Content Needs to Be More Personalized
It’s no secret that audiences respond more favorably to content when it’s personalized. AI/machine learning can help with the ability to integrate dynamic content based on different parameters. Simply put, AI can segment your audience much better and faster than you.
This segmentation and tracking enables you to present different content to different visitors on your website. This could be based on their previous purchases, pages viewed, their industry, or more.
Dynamic content can also be useful in email campaigns. AI helps here as well, especially drip campaigns that are triggered by a buyer’s actions. This way, the content and messaging they are receiving from your brand are more relevant to their experiences. This connection often leads to better engagement in the form of opens and clicks.
Content Marketing Needs a Central Hub
Content automation is best executed when it has a central hub like a content marketing software platform. The future longevity of content automation depends on this. If you don’t have a central hub, content automation loses its key benefits of reducing time and resources spent.
When you have a single system that can handle all the automaton features you require, it becomes easier for adoption. So, what does your platform need? It should have these standard features:
- Content calendars that can be shared and accessed with ease
- Production workflows, including simple and complex processes
- Your content archive – storage of approved assets with relevant metadata
- Automated reporting – don’t waste time combining analytics from multiple systems
- Integrations and an open API – connecting your content hub to multiple downstream delivery systems
Deployment and Disbursement of Content Must Be Simple
It can take a considerable amount of working hours to publish all your content manually and then subsequently post it or set up ads on social media. A robust content marketing platform and integrations with downstream publishing tools can help you automate these tasks.
No one wants to go back to publishing directly on those profiles. It’s not efficient and would require way too many physical resources. It’s another reason why content automation won’t be going away anytime soon.
Quill
Quill is specifically created to find the hidden potential of the data. Ths makes it easy for the fellow mates to understand the exact concept of it. And when they are able to understand the concept, they will be able to communicate the insights in a more proper manner.
The natural language generation platform functions exactly like a human brain does. It produces the insights in order to revive every angle of the business that people want to know.
The other benefit of using Quill that it gives personalized narratives. It lets the user customize the narratives, with information that’s truly meaningful to the customers. By using everyday language, it can handle any size data set, processing speed or a number of stories.
Wordsmith
The platform is capable of converting the data into interesting narratives. Wordsmith is an AI-powered tool that produces written analytics by transforming the given data. The tools that the Wordsmith offers cater to those insights that relate to the humans, organization structure and the overall goals of the enterprise.
Well known companies including Yahoo, Microsoft, Tableau, PwC are making use of this tool in order to generate around 1.5 billion pieces of content every year.
Below is the screenshot of a sample write-up by Wordsmith. Wordsmith also has open API. Wordsmith’s paid plan starts from $250 per month for 1000 articles.
Articoolo
If you think a machine cannot work like a human brain then you are wrong. Articoolo is a content creation tool that writes an article just like a human. Firstly, it understands the concept of the given topic. For example, if you want to write an article regarding “Variety of sketch pens”, then the algorithm of the tool will understand what a “Sketchpen” is and then start writing the article.
Once it gets the idea of the topic then the tool will search for the related resources and will extract the relevant keywords. And based on the search for the keywords it constructs a reasonable piece of text.
Conclusion
Did you know that you can automatically create tons of content for your digital marketing needs? I know… shocking! This is a fantastic thing since content creation is one of the biggest hurdles when it comes to digital marketing. With built-in templates and a wide range of automated features, all while saving time and effort, we have become one of the leading providers in this sort of content generation.