Does your site search receive thousands of keyword variations?
Is this too much for you to humanly optimize?
Have you already had the experience of migrating to a new search vendor, only to discover you’ve exchanged one set of site search optimization problems for another?
searchHub uses data-science, paired with AI,
to rewrite customer search term variations,
replacing them with the best performing related query
before sending them to your search engine…
At. Any. Scale.
… for any site search technology.
to landing pages.
Your customers get a
better user experience.
Your website makes
Customers Getting More From
Existing Site Search
The Autopilot For
Ecommerce Site Search
What’s in it for Me?
How We Help...
Measurable, differentiated return articulates the value of your software. searchHub makes it easy to do just that… and so much more!
Save time optimizing site search and increase the effectiveness of your landing pages, while reducing your workload.
Concise documentation and working integration samples make scoping software-install a piece of cake.
What Clients Say
"Anyone who has had the privilege of optimizing search for 18 stores in a wide range of languages knows that this is a real challenge. So, we needed a solution that would allow us to scale with the given resources and language skills. With searchHub – an intelligent AI add-on for any type of search technology – we found that. Our Scayle Commerce platform could be connected with minimal IT effort. Now the AI does the legwork, and we can focus on the business decisions."
The Latest from our Blog
If your business case involves only single-item baskets and 90% of your orders consist of only one article, you can skip this post.
All others: welcome to another trap in search experimentation!
Experimentation plays a pivotal role in search systems. It has the capability to improve performance, relevance, and user satisfaction. An effective search system is a must in this dynamic digital landscape. It needs to continuously adapt to meet the evolving needs and preferences of users.