Semantic search is a method of searching that focuses on understanding the meaning and intent behind a query, rather than just matching exact keywords. It uses technologies like natural language processing (NLP), machine learning, and vector embeddings to interpret language more like a human would.
This allows semantic search to deliver more accurate and relevant results, even when the search terms don’t exactly match the content. For example, a search for “how to fix a leaky faucet” might return content titled “DIY Plumbing Tips,” because the system understands the underlying meaning.
In the context of SearchRovr, semantic search enables your WordPress site to respond to user queries in a smart, intuitive way – matching real questions with the most meaningful content, not just keyword hits.