But there is a way to fix this:

Inbenta has developed a solution that integrates seamlessly with the functionalities of the GSA, called External Metadata Indexing. The solution created by Inbenta allows this GSA functionality to be used to enter metadata with semantic information. The documents are indexed in seamlessly mode that can't be perceived by users or content editors.

These metadata contain additional semantic information which makes the documents easier to find with the semantic search extensions of Inbenta.

For example, for a document titled "Where can I view my annual statement?", Inbenta would create a feed like this, which would also allow user questions such as "find yearly report" to be understood:

This XML feed is created thanks to the powerful natural language processing engine of Inbenta. This process results in combining the advantages of the GSA (robustness, presence on the market and ability to index large amounts of documents) with the advantages of natural language search: more relevant results, the possibility of finding documents without needing to use the exact words those documents use, and the possibility of doing searches based on the overall meaning of the phrase and not on the keywords used, i.e., interacting with the search engine in a more natural way, as though we were talking to a human.

The clients that have incorporated this solution from Inbenta have improved their search engine clickthrough by 300%, meaning there are more users clicking on results that are much more pertinent, thanks to this innovative solution offered by Inbenta.

Thus, with the Inbenta Semantic Connector, you will be able to:

• increase your conversion rate
• reduce the cost of your customer service
• get very important information about your users

You can check out all the information on this product here.