Semantic Keyword Research

Semantic keywords are words that have similar meaning or related to the same context. For example, "natural language processing" is related to "artificial intelligence" as they are often used together. Semantic keywords help Google to disambiguate between entities that have the same spelling, but different meaning. In general, using semantically related keywords can signal Google of the quality of a page and the extent to which it covers a certain topic.

Semantic keywords help search engines to better understand content. For example, the word "python" can mean both a snake and a programming language depending on the context in which it is used. If there are other semantically related words in an article, such as "database" or "API", a search engine may identify that Python means a programming language in this context. On the other hand, if the words like "cobra" or "prey" are used in an article, a search engine may conclude that, in this case, python is a snake. In general, semantic keywords are an indicator of the scope and breadth of content.

LSI keywords are a big misconception in SEO. John Mueller from Google has previously confirmed that Google doesn't use them. LSI keywords term goes back to an original paper from 1989, and since then NLP techniques have improved tremendously. Semantic keywords, on the other hand, indicate keywords with a close meaning, but different spelling. No LSI keyword research tool can identify them. Our tool uses a proprietary algorithm based on live Google data and provides you with semantic keywords that are not only closely related, but also co-occur frequently in different queries related to a topic.