AI augmentation of Quintype's CMS
AI has gone from being a pipe dream to being an indispensable part of every industry. Consequently, content management systems are beginning to incorporate AI tools and machine learning algorithms.
With its bouquet of AI-powered integrations and in-built features, Quintype’s CMS offers its publishers a chance to leverage AI to enhance their content presentation and delivery.
Here are a few examples:
1. Personalization
Due to its ability to personalize content, the use of AI not only helps with reach but also with audience engagement. AI systems can observe user behavior patterns and based on that, present them with content better suited to their interests.
Quintype uses WRU.ai, an AI driven prediction engine to help with personalization of content. WRU.ai is equipped with NLP algorithms that can scour through large amounts of content consumed by a user to find patterns. The data extracted from this exercise is then used to predict the most relevant content for each user.
Users appreciate and encourage personalization as it helps them cope with information explosion.
These hyper-personalized predictions also drive ad revenue by presenting the reader with just the right content.
2. Content tagging
SEO is a labor-intensive field. It requires content marketers to minutely observe the digital space, analyze relevant factors and make quick decisions.
Automated tagging tools like WRU.ai can save a lot of time and effort while achieving the same, or even better results.
These tools learn from previously tagged content of the publication. After learning how a particular publication likes to tag content, WRU examines new untagged content and suggests a list of relevant tags.
The publisher can then accept or reject the recommended tags. Based on this, WRU’s AI algorithms keep refining their future recommendations.
Better tagging can bring in more visitors to the site and can improve engagement. It also helps with content monetization by driving subscriptions and improving click-through rates for ads.
3. Voice-enabled content
Audio storytelling is personal, authentic and captivating and with smartphones and voice assistants like Amazon Echo and Google Alexa in tens of millions of homes, it is here to stay.
Quintype's CMS has an integration with Amazon Polly, a TTS (text-to-speech) service which uses deep learning technologies to emulate speech that sounds like a human voice.
This integration enables publishers to optimize their content for voice-enabled devices. Since consumers will now have the option of listening in, it will increase chances of consumption of content.
A study conducted by Pew Research Center found an average of 57 seconds of interaction time (scrolling, clicking, and presumably reading) for stories shorter than 1,000 words. Whereas the average time spent listening to a news article, across news publishers, is around 3 minutes and 44 seconds. That’s nearly a 300% increase in engagement-time when compared to traditional articles.
With an increase in user engagement, there will be more link building and social media sharing opportunities for content, which will cause organic ratings to soar.
4. Audience engagement
Creating and maintaining an online community where healthy discussions are encouraged is a priority for publishers. But online discussion forums often turn into a cesspool of toxic and spam comments.
Manual sorting and elimination of hostile comments is an impossible task. Audience engagement tools utilize AI to help publishers handle spam and toxic comments.
One such tool, Metype (a Quintype product) has integrated with Jigsaw’s Perspective API to provide moderators with a toxicity score based on which publishers can easily moderate comments on their posts. Metype has also integrated AI to automatically tackle spam in the comments with minimum human intervention.
5. Automatic text summarization
Popularity of apps like Blinkist and InShorts, has highlighted an emerging pattern in reader behavior. Readers want bite-sized snackable content that they can quickly scan and share.
Summaries of texts allow readers to sample ideas and concepts before they decide to delve into large volumes of original texts. But generating summaries manually can be time-consuming, tedious and expensive. This is where automatic text summarization tools come in handy.
Automatic text summarization tools take lengthy documents and compresses them into concise summaries. Powered by AI algorithms, these tools comprehend documents and identify the important sections. Then, the main points are distilled and information is summarized.
Advancements in AI technology are poised to further revolutionize content marketing. Media giants across the world have gone AI-first. But this technology is not exclusive to major publications. Quintype is making AI-powered publishing tools easily accessible to all publications (irrespective of their size and reach) at optimal rates. Sign up for a free trial.