AI Query Expansion: Next-Gen SEO with Word Embeddings

AI Query Expansion: Next-Gen SEO with Word Embeddings

Blog Article

The goal of this project is to improve the understanding and processing of search queries in order to improve the search experience on websites or digital platforms. This is accomplished through word embeddings and AI-powered query expansion, which improves search result matching and provides a deeper understanding of user intent. Let me break this down into manageable chunks so that even a non-technical person may understand it.

What Issue Is Resolved by This Project?
1. Search Misconceptions:
People occasionally don't use the precise phrases that are used in the website's content when they search for anything online. For instance:

"Affordable SEO packages" is what a user searches for.
The term "budget-friendly SEO plans" may be used on the website.
Because these two related concepts don't use the same exact phrases, the search is unable to make the connection.
2. Limited Results from the Search:
Conventional search engines only match the user's exact phrases. They are unable to comprehend synonyms, related phrases, or the query's overall meaning. This implies that even if something is available, users may not locate it.

3. material Gaps on Websites: Websites may unintentionally neglect to produce material for frequently searched terms. For instance:

Users will be dissatisfied if they search for "e-commerce SEO for small businesses" and the website does not have a page devoted to this subject.