Abstract: Methods and systems to automatically identify market-agnostic and market-specific search queries are provided. Features of a received search query are analyzed and signaling associated with those features is ranked in terms of its strength in identifying the query as market-agnostic versus market-specific. A relevance score is generated for the received search query based on the feature rankings. The features and relevance score for the search query are used by a binary classifier for classifying and labeling each search query as market-agnostic or market-specific. Thus, search results may be returned and processed for market-agnostic search queries without the need, cost, and inefficiency of processing for every different market.