# What is Presearch Engine? The Presearch Engine is a next-generation search engine built to provide the world with a decentralized alternative that operates more like a public utility on behalf of its community rather than shareholders. **5 goals which could describe Presearch Engine:** 1. Excellent, customizable **meta search engine** 2. Privacy respecting 3. Decentralized architecture 4. AI enabled 5. Rewards for genuine searches The vision is to create totally open and transparent algorithms that leverage blockchain technology and the human power of the Presearch community so that, similar to Wikipedia, anyone can participate in the creation and curation of the search index, providing superior results and censorship-resistance. ## Decentralized platform The current version of the Presearch Engine is a step toward the ultimate vision and employs nodes operated by community members to access data from existing search resources and data sources. A series of [community-generated packages](https://github.com/PresearchOfficial/presearch-packages/) can also be displayed above the traditional search results to provide enhanced information. ## Meta search engine Presearch offers its users increased search choice and active personalization, where they are in control of their experience, rather than automated personalization built upon a foundation of tracking and profiling users. ## Next steps The next step is to begin layering our own index on top of this platform so that community-driven results can supersede the external results, yet still provide users with comprehensive answers while the Presearch index is in development. You are just one click from the start, try out presearching the web at . --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.presearch.io/presearch-engine/what-is-presearch-engine.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.