# AI Researcher This guide provides an overview of AI Researcher, highlights its key functionalities, showcases various use cases, and offers prompt examples to help you get the most out of it. ### **Overview** **AI Researcher** is a cutting-edge AI agent designed to seamlessly gather and analyze company data tailored to your specific business needs. By simply providing instructions on the information you require, AI Researcher intelligently navigates web content, interprets raw data using advanced language models, and delivers precise attributes ready to be imported directly into your CRM system. ### **What AI Researcher Does** * **Intelligent Web Searching:** Goes beyond keyword scraping to find meaningful and relevant data across the web. * **Data Synthesis:** Utilizes large language models to interpret and contextualize gathered information. * **Structured Data Output:** Provides organized data that can be effortlessly imported into your CRM. * **Data Gap Filling:** Addresses and fills in the missing information that traditional enrichment tools often miss. * **Time and Resource Efficiency:** Automates data collection and interpretation, freeing your team to focus on strategic initiatives. {% embed url="" %} Watch AI Researcher in action {% endembed %} ### **Managed AI Researcher** Designed specifically for RevOps leaders with demanding schedules, **Managed AI Researcher** delivers the robust capabilities of our AI Researcher without the hassle of prompt creation. Let our expert team handle the intricate details, so you can effortlessly leverage advanced AI insights and focus on driving your strategic initiatives forward. [Read more about Managed AI Researcher](/kb/account-research/ai-researcher/managed-ai-researcher.md). ### **Use Cases** AI Researcher is versatile and can be applied across various industries to meet diverse data needs. Here are some common use cases to help you understand how AI Researcher can benefit your business: * A search engine company wants to label prospects by use case across: product search, content search or app search * A customer service company wants to label prospects based on whether they’re B2B or B2C * A legal services company wants to classify law firms based on the specific type of law they practice such as Intellectual Property, Criminal, Family, Injury, etc * A company selling to restaurants might want to classify them by service level such as Fast Food, Fast Casual, Casual or Fine Dining * An industrial cleaning services company wants to create lists of factory locations for manufacturers. * A security company wants to identify if a company has had a data breach in the last 12 months * An influencer marketing company wants to know details of a retailer’s affiliate program * A medical technology company wants to know which Electronic Health Records systems their prospects use for patient portals --- # 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.gradient.works/kb/account-research/ai-researcher.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.