> For the complete documentation index, see [llms.txt](https://help.imagine.art/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.imagine.art/imagine-computer/ai-tools/deep-reseach/deep-research-use-cases.md). # Deep Research Use Cases ### Use Cases **Market Research**\ Get a clear picture of a market, industry, or trend without spending hours reading articles one by one. Ask about market size, growth, or emerging players and get a cited report pulled from real sources. **Competitor Research**\ Understand how a competitor positions itself, what they offer, and how they compare to others in their space. Useful before a strategy meeting or when sizing up the landscape. **Company Profiles**\ Get a coherent, cited profile of any company, covering what they do, their background, and where they stand today. Helpful for due diligence, partnerships, or general research. **Product Comparisons**\ Compare two or more products, tools, or technologies side by side with sources backing up the differences. Good for making an informed decision without doing the comparison yourself. **Technology and Industry Trends**\ Stay current on fast moving topics like AI regulation or emerging technology, with reports built from recent sources rather than outdated material. **Biographical and Historical Research**\ Ask about a person's career, a historical event, or a cultural topic and get an accurate, well sourced report, even on topics with limited or specialised coverage. --- # 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.imagine.art/imagine-computer/ai-tools/deep-reseach/deep-research-use-cases.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.