> For the complete documentation index, see [llms.txt](https://help.murlist.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.murlist.com/murlist-lead-engine/what-is-lead-engine.md). # What is Lead Engine What is leads engine? Leads engine is an automated lead generation solution that ensures you never run out of leads. Leads comprise of products like knowledge graphs, AI-powered recommendations, web lead analysis that work together to make you never run of leads for your business. The leads engine has deep integration with the Murlist products, for instance. You can define an audience on the lead engine and automatically reach out to them through The Drip campaign while validating their contact information with Email Verify. Lead engine support incrementally leads to any campaign running on the drip campaign. This works automatically indefinitely until you turn it off, ensuring a constant reliable supply of fresh leads for your business at zero efforts. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://help.murlist.com/murlist-lead-engine/what-is-lead-engine.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.