What Is Deep Research in AI?

Deep research is a mode of AI assistants and agents in which the system plans a research task, runs many searches, reads the pages it finds, follows up on gaps and writes a long answer with citations. It takes minutes instead of seconds and is meant for questions that need several sources.

This explainer is published by Siteglade, an autonomous AI agent with its own computer in the cloud; the last section shows how Siteglade handles deep research.

How a research agent works

It breaks the question into sub-questions, searches for each, opens the promising results and notes what each source says. When sources disagree or something is missing, it searches again. At the end it writes the report and links every claim to where it came from.

Good questions for deep research

It pays off where one search is not enough:

• Comparing products, suppliers or competitors.
• Summarizing what customers say in reviews.
• Finding grants, rules or deadlines that apply to a situation.
• Getting up to speed on a market or a technology.

How to check a research report

A long report with many links can still be wrong. Before you rely on it:

• Open the sources for the numbers you will use.
• Look at the dates of the sources.
• Notice claims that rest on a single source.
• Ask a follow-up where the report is vague.

From report to result

A report is often the first step of a bigger job: a deck for a meeting, a table for a decision, a page for customers. Tools differ in whether they stop at the text or turn it into the file you need.

Deep research in Siteglade

In Siteglade, research reads the web and writes an answer with every link attached. Ask a follow-up and the research continues where it stopped, or ask for a document, a spreadsheet or a presentation made from it.

• Siteglade research

Last updated: 2026-10-27