We all now live in a world where content is everywhere around us. But what we most often fail to link is content and knowledge. Most business owners follow along with the concept that more content is better. More blog posts. More YouTube videos. More how-to write-ups and comparison clips and podcast episodes and newsletters.
We, as business owners, are caught in a tornado of consumption and losing sight of what’s at the center: knowledge. With the sheer volume of content being published every day, it’s becoming harder and harder for businesses to cut through the noise and provide a cohesive experience that targets what customers want: answers.
AI search is the only technology that can bridge the content discovery gap we’ve created. Because, let’s face it, our information is fragmented. But it doesn’t have to be.
The Problem with Content Discovery Today
Content discovery is a modern challenge that has only gotten more difficult as the amount of digital content continues to grow. The astonishing speed at which new content is churned out makes it increasingly difficult for users to find content that is relevant and engaging, and ultimately provides them with answers.
It’s no secret that finding the right information, at the right time, can be a challenge. And when it comes to content discovery, site-level search is often one of the first places people look. Unfortunately, site-level search engines are unable to keep up with the ever-growing volume of content being published online and use antiquated methods like tagging and query keyword requirements to display results. This leads to a number of issues for businesses and their customers alike.
Google should never be a company’s sole solution to self-service support for customers. Despite its widespread use and appeal, relying on Google as the primary source of customer service information can lead to a variety of outcomes that are neither helpful nor beneficial for customers. Though the benefit of using Google is the ability to aggregate material from around the web in one results page.
Social media networks can help to reduce the overload by curating articles and media based on a user’s previous interests or reading history. However, these services are often limited in scope, offering up similar items without necessarily leading to an unexpected discovery—or the right discovery.
As content becomes more and more plentiful, companies must find innovative ways to make content discovery easier for their users.
Smart recommendation algorithms, contextual search filters, and personal pages tailored to individual users are all potential solutions worth exploring. However, given the complexity of the problem—and its ongoing evolution—coming up with a workable solution will require further collaboration among developers, designers, product teams and so on.
The content discovery gap is one of today’s most daunting challenges; but with enough ingenuity, it could become a source of joy—not frustration—for audiences everywhere. Korra allows businesses to not only aggregate results from virtually any file format in any connected location, but combine that material to provide customers with real, spot-on answers.
How AI Search Bridge the Content Discovery Gap
Artificial intelligence search technology is quickly gaining traction as a reliable method to bridge the gap between modern challenges and existing data.
When properly trained, AI models can evaluate large sets of information and programmatically narrow down a search to the most pertinent pieces of data. The resulting insights can provide businesses with a valuable advantage in areas such as customer experience, marketing strategies, resource optimization, and more.
What’s more, AI search algorithms are becoming increasingly accurate at predicting customer preferences based on past interactions and contextual relevance. By utilizing these technologies effectively, businesses can unlock greater opportunities for success by leveraging deep pools of knowledge previously unavailable.
AI search capabilities are revolutionizing how organizations process vast volumes of data as they discover new paths to growth in an evolving digital landscape. Korra uses natural language processing so users can ask what they want, how they want without sacrificing results accrued from anywhere on the web or your connected servers.
What This Means for the Future of Content Discovery
With the explosive growth of digital content over the last decade, valuable content discovery has become increasingly difficult.
As a result, sorting through so much material and curating it for relevancy is an increasingly complex task. The good news is that technology trends in AI search are making this challenge more tractable. We’re seeing advances in big data analysis and machine learning applications that allow developers to create sophisticated algorithms geared toward personalizing content selection.
These algorithms will be integrated more deeply into user experience designs, enabling individuals to quickly locate truly relevant content tailored to their individual needs.
With so much potential for growth unlocked by robust AI-powered technologies, companies must thoughtfully navigate the complexities ahead in order to make the most of them. Korra eases that burden by providing an AI search tool that provides users with relevant content today. With Korra, the future of site-level search and content discovery is here.
How You Can Take Advantage of AI Search Today
AI is revolutionizing the way we search for information online. Because AI systems are capable of interpreting complex data and understanding natural language, they are able to provide users with increasingly more precise search results. This means that you not only receive more relevant information but can also find it faster than before.
In addition, AI search technology continues to improve over time, allowing organizations to focus on refining their offerings rather than chasing down incomplete, outdated, or inaccurate data.
To take advantage of these improvements today, businesses should consider investing in AI-based solutions like Korra, where fragmentation in content discovery is bridged by a search and discovery tool that accesses your content from everywhere and uses NLP to produce near-instant results.
Final Thoughts: AI Search Is the Core Behind True Content Discovery
All in all, it’s clear that content discovery is a complex issue. However, there are new technologies emerging that show promise in helping to bridge the gap between the vast amount of content available and what people are actually able to find.
AI search is one such technology, and its capabilities are only going to continue to grow as it gets better at understanding user intent.
If you’re looking for a way to get your content seen by more people—and more customer questions answered, Korra is the AI-powered content discovery tool you need. By automatically indexing your content and making it searchable through our powerful AI search engine, we can help you connect with those who need you the most: your customers.