> ## Documentation Index > Fetch the complete documentation index at: https://help.hellofig.io/llms.txt > Use this file to discover all available pages before exploring further. # Research > Have Fig look things up across the web and turn the findings into something useful. Fig doesn't just make things — it can **go find out** for you. Ask it to research a topic and it reads across the web, pulls together what matters, and hands you the result in whatever form is most useful. ## Quick start Describe what you want to know — and, if you like, what you want at the end: ```text theme={null} Research the best-selling reusable water bottles right now and summarize what makes them popular. ``` ```text theme={null} Look into home-coffee-equipment trends for 2026, then turn it into a one-page summary and a short slide deck. ``` ## What Fig does * **Reads the web** — Fig gathers information from across multiple sources. * **Sorts the signal from the noise** — it distills findings into the points that matter. * **Delivers it your way** — a written summary, a [slide deck](/features/slides), a [PDF](/features/what-you-can-build), or just an answer in the chat. ## Deep research For bigger questions, Fig can run **deep research** — it splits the work across several helpers that look into different angles at the same time, then combines everything into a single, well-organized answer that **cites its sources**. You get the depth of a thorough review without the wait of doing it one step at a time. This is great for questions like "compare the top five tools in my industry" or "give me a briefing on this market" — where one quick search isn't enough. Fig deep research view showing multiple parallel research lanes, each with its own search and list of sources Tell Fig what the research is *for* — "to choose a supplier," "for a blog post," "to brief my team." It shapes what Fig focuses on and how it presents the answer.