Thanks to innovations at Google and other search engine-style platforms, we all expect instant, relevant answers to any query, regardless of the quality of the search term.
Employees and customers want a similar speed and accuracy when using an organization’s website, knowledge base, or intranet. When they can’t find what they’re looking for, they leave frustrated; blaming the search solution itself for not delivering good results.
But it’s not just the search engine. The real issue is search relevance.
The better the query matches the content available, the more relevant—or good—the results will be on a given search query. To get great search results, it’s critical to address both sides of the relevance equation: the quality of the content and the intent of the search queries.
Let’s walk through a typical example of how SearchBlox works to “improve” search relevance throughout the search journey:
Before Search
SearchBlox scans organizational documents and makes strategic, AI-driven improvements.
During Search
A suite of powerful tools guides users to the products, and answers, they’re looking for.
After Search
Our tools continue to audit and improve your content; bringing actionable insights to the surface.
Before Search
SearchBlox scans organizational documents and make strategic, AI-driven improvements.
During Search
A suite of powerful tools guides users to the products, and answers, they’re looking for.
After Search
Our tools continue to audit and improve your content; bringing actionable insights to the surface.
Before Search
SearchBlox Enterprise Search quickly and securely digests your data from anywhere across your organization with the help of over 300 included connectors. During set up, SearchAI PreText™ NLP uses AI to read the content and improve the titles and description of the documents. Improving your content provides a contextually relevant search experience that is superior to your existing setup.
SearchBlox is the only enterprise search tool to address the issue of the content itself. PreText™ NLP fixes your content by generating titles, metadata and descriptions of many types of content, from database documents to PDFs to presentations — even videos. The content that’s been indexed is lacking meaningful titles, metadata or descriptions that would help make a more relevant match during a search query. The data the end user wants is invisible to the search tool, even though the content exists.
During Search
Now that you’re set up, you may start testing the search with queries and discover that documents are missing for a particular query, or that the results are showing up too far down in the results. Here’s what may be happening and what you can do about it:
The Problem: Your users aren’t using the right keywords in their search to create an exact match with the right content.
![SearchBlox SearchAI Smart Suggest](https://b1868040.smushcdn.com/1868040/wp-content/uploads/2022/10/SearchBlox_RelevanceTuning_Solutions_A.png?lossy=2&strip=1&webp=1)
For this challenge, SearchAI SmartSuggest uses artificial intelligence to automatically recommend phrases, even if your query is misspelled in order to show the right content.
The Problem: Your organization has lots of different types of content, but they’re all weighted the same which throws off your ranking. For example, website content may be optimized for SEO, so it consistently ranks higher in the results than the KB article that actually contains the answer but doesn’t have a strong title or metadata.
![SearchBlox Relevance Tuning Templates](https://b1868040.smushcdn.com/1868040/wp-content/uploads/2022/10/SearchBlox_RelevanceTuning_Solutions_B.png?lossy=2&strip=1&webp=1)
In this example, SearchBlox makes it easy to globally tune relevance based on metadata. Relevance Tuning Templates let you instantly adjust relevance based on predetermined criteria and you can quickly create and apply your own custom relevance templates for different business needs.
The Problem: Your users are looking to find answers within your documents and not just a search result to click on. To make it easy to find these answers, content managers often create FAQs from documents so they are easily accessible without having to read through the document.
![SerachBlox Document Crawler](https://b1868040.smushcdn.com/1868040/wp-content/uploads/2022/10/SearchBlox_RelevanceTuning_Solutions_C.png?lossy=2&strip=1&webp=1)
Here, similar to Google, SearchBlox now crawls PDFs, web content and other content to generate context-rich questions and answers which are curated for search relevancy. This enables users to find contextually relevant information faster.
Results are tuned for relevancy based on user engagement, keeping FAQs fresh and accurate. SmartFAQs™ creates thousands of questions and answers covering the whole gambit of information contained in the source documents.
After addressing all of the above, there still may be a need to force a content/query match so data shows up just where you want it in the results.
![SearchBlox MRank Solutions](https://b1868040.smushcdn.com/1868040/wp-content/uploads/2022/10/SearchBlox_RelevanceTuning_Solutions_D.png?lossy=2&strip=1&webp=1)
For this, we offer MRank to give content managers, product managers, and others the level of precision control needed to achieve your business outcomes, document by document.
After Search
One of the biggest advantages of an AI-powered suite of tools like SearchBlox is that the system is always learning! Our Insights & Analytics console automatically flags URLs for optimization, shares top queries so it’s easy to identify new content that needs to be created, or discover old content that needs better metadata.
Data-Driven Insights
Combine automated, intelligent, company-wide content crawling with tools that streamline and improve your customer’s online experience.
Our Unique Approach to Automating Search Relevance
In the past, fixing relevance issues has traditionally involved hiring data scientists or analysts, tapping into specialty knowledge, and waiting for months to see results.
Fixing content manually simply isn’t feasible, it’s time consuming and expensive. Training your authors or content managers to make sure their content is findable by adding better metadata, titles, and tags on their own is not feasible for older documents
Our SearchAI suite of tools work together to improve relevance on the query side while automatically fixing the content itself. SearchAI is the only suite of tools designed to address the full relevance equation.
Ready to deliver relevant results that help customers and employees make decisions faster?
Data-Driven Insights
Combine automated, intelligent, company-wide content crawling with tools that streamline and improve your customer’s online experience.
Our Unique Approach to Automating Search Relevance
In the past, fixing relevance issues has traditionally involved hiring data scientists or analysts, tapping into specialty knowledge, and waiting for months to see results.
Fixing content manually simply isn’t feasible, it’s time consuming and expensive. Training your authors or content managers to make sure their content is findable by adding better metadata, titles, and tags on their own is not feasible for older documents
Our SearchAI suite of tools work together to improve relevance on the query side while automatically fixing the content itself. SearchAI is the only suite of tools designed to address the full relevance equation.