Posted by: Theo Paraskevopoulos
04 March 2025
I recently presented a Natural Language Search (NLS) demo at our annual summit. It showcased Nous AI's capabilities, demonstrating how it could ingest content from websites, SharePoint, and other sources to provide AI-powered search and content discovery.
Off the back of this demo and our practical application of Natural Language Search for the Invessed platform, we are now ready to implement this solution.
This post highlights how NLS improves user experience, keeps visitors engaged, reduces support costs and provides valuable business insights. The post also emphasises how Invessed and GrowCreate integrate AI-powered NLS to make search more intuitive and effective.
Natural Language Search is a shift from keyword-matching to truly understanding user intent.
Search bars should work the way people think. Simple, right? Unfortunately, most websites still rely on outdated keyword searches that frustrate users and leave them bouncing before they find what they need. That's where Natural Language Search (NLS) changes the game.
NLS allows users to search in a way that feels natural—typing full questions, vague descriptions, or even conversational phrases and still getting accurate, relevant results. Natural Language Search is a shift from keyword-matching to truly understanding user intent.
Why Natural Language Search is a must-have?
1. It makes finding information effortless
Traditional search demands precision. Get one word wrong, and you're sifting through results pages that don't help. NLS eliminates that frustration by understanding what users mean—not just what they type. Whether someone searches for "How do I reset my password?" or "I can't log in," they get the right answer instantly.
That means fewer customer complaints, fewer support tickets and a better experience for everyone.
2. It keeps people engaged
Users don't have time to decode your website's search logic. They'll go elsewhere if they don't find what they need fast. NLS keeps them engaged by delivering precise results, meaning they stay longer, explore more and are more likely to convert.
3. It gives you actionable business insights
Want to know what your customers care about? Look at what they're searching for. NLS helps you track search patterns, uncover gaps in your content and refine your messaging based on real user behaviour. Instead of guessing what your audience needs, you'll have the data to prove it.
4. It cuts support costs
When people can find answers on their own, they don't need to contact support. That means less time spent answering repetitive questions and more time focusing on high-value interactions.
5. Safe AI
Our Natural Language search solutions prioritise safety and privacy, ensuring responsible data handling. To prevent inaccuracies and provide reliable and factual responses, NLS only uses your data to help users find information confidently while avoiding hallucinations.
6. It future-proofs your website
Users expect smart search functionality. AI-driven NLS ensures your website stays ahead of the curve, making it a valuable tool for today and for years to come.
How GrowCreate makes Natural Language Search work for you
We don't just add a search bar and call it a day. At GrowCreate, we build search experiences that help businesses connect with their audience. We integrate AI-powered Natural Language Search into your platform so users get instant, meaningful results. And because we tailor it to your specific needs, your search will work better, smarter and faster.
Ready to make your search work the way people think?
Your customers expect a search that just works. Let's build a smarter, more intuitive experience that keeps them engaged and coming back.
Contact Invessed or GrowCreate to see how we can transform your website's search into a powerful business tool.
What is Natural Language Search?
Natural language search lets users find information by typing or speaking naturally, as they would in conversation, instead of relying on specific keywords. Powered by Natural Language Processing (NLP), it enables search engines to understand context, interpret intent, and deliver more relevant results.
Natural Language Search FAQs
By allowing customers to search using natural, conversational language, NLS makes interactions more intuitive, improving user experiences and increasing engagement.
NLS can streamline the search process, helping customers find products or information more efficiently, which can lead to higher conversion rates.
Providing a seamless and intuitive search experience can enhance customer satisfaction, fostering trust and loyalty toward the brand.
NLS can analyse customer queries to identify sentiment and emerging trends, offering valuable insights for tailoring marketing strategies.
NLS can identify common customer inquiries and preferences, guiding the creation of targeted content that resonates with the audience.
Implementing NLS requires robust Natural Language Processing (NLP) capabilities, integration with existing data systems and scalable infrastructure to handle complex queries.
NLS can be resource-intensive; ensuring optimised algorithms and scalable architecture is crucial to maintaining performance under varying loads.
Protecting user data during NLS interactions involves implementing strong encryption, access controls and compliance with data protection regulations.
NLS solutions should be designed to integrate seamlessly with current databases, APIs and user interfaces to ensure a cohesive system architecture.
Regular updates are necessary to improve language models and address evolving user behaviours, requiring ongoing monitoring and fine-tuning.