AI-Powered Autonomous Deep Research Workflow

Automates deep research with AI-generated queries, web scraping, content evaluation, and iterative refinement to produce structured reports with citations.

n8n
AI-Powered Autonomous Deep Research Workflow

This workflow enables autonomous, AI-driven research on any topic. Starting from a user-submitted research query via chat, it uses a Basic LLM to generate up to four refined search queries. These are processed through SerpAPI to fetch top Google search results, followed by Jina AI for extracting and summarizing webpage content.

An AI Agent then evaluates the content for relevance and credibility. If results are insufficient, the workflow iteratively generates new queries and repeats the process, leveraging memory buffering in AI Agents and loop nodes for refinement. This ensures high-quality, comprehensive data collection.

Finally, it compiles everything into a structured Markdown report with sources and citations. Benefits include massive time savings for researchers, journalists, analysts, and businesses needing quick, reliable insights. Use cases: market research, competitive analysis, academic studies, or content creation, reducing manual searching from hours to minutes.

$24.99
Last updated August 29, 2026
30-day money-back guarantee
Instant download
Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

Secure checkout powered by Stripe

Support

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

Related Miscellaneous workflows

More from Felix Rahman

Need this deployed? We'll set it up for you.

Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.