General topic searching on Google is a pain, especially if you don’t know much about the topic you’re trying to explore.
When your knowledge is minimal it’s hard to refine your query to get past the very general “front door” results that Google tends to provide for a topic search. Enter Smushy Search.
Smushy Search takes your topical search term and uses the Datamuse API to find related words (a frequency setting allows you to specify how common the words should be).
Four of the found words are then picked at random, added to your query term in two “or” pairs, smushed into a Google query, and opened in a new tab. The idea is to let you explore a topic with in-depth search results without needing any kind of prior knowledge, and without the time needed to build a specialized vocabulary.
Want to learn more about how Smushy Search works? Check out this ResearchBuzz article!
This will remove Amazon and eBay, and attempt to remove common ecommerce results.
Does what it says on the tin. Might break your search, but worth a try.
The lower the frequency, the less the word is commonly used. Low-frequency words generate the most-focused results but there are fewer of them to find.