Search engines are crucial gateways to (political) information and therefore serve a vital function in democratic societies. While extant research in the field of political communication is mostly concerned with algorithmic bias, user-driven bias had been largely neglected. Yet, search queries are the key way in which searchers explicate their information need. Building on framing theory and selectivity in political information we argue that search queries are ingrained with the searcher’s (political) predispositions. Issue frames in mind of searchers manifest themselves in their search terms and queries. We explore how individuals use search queries to find political information (RQ1), and how these searcher types relate to political and socio-demographic characteristics (RQ2). We examine the cases of immigration and climate change in the Netherlands and collect survey data among a representative sample of the population (N = 1,994). We use a combination of qualitative and quantitative coding and Latent Class Analysis to identify searcher types, which we regress on issue attitudes, issue importance, and other political and socio-demographic indicators. We find that search queries co-occur to form searcher types that are related to the searcher’s personal characteristics. Notably, searchers formulate queries in ways that are related to their political positions, but this differs for different issues. These findings imply a systematic bias in user-input on search engines which is probably transferred to the search results. Future research needs to consider both user choices and algorithmic factors when auditing search engines on political bias.