Using Subagents for Parallel Research: A Marketing Guide

How to use OpenClaw's subagents to handle complex research tasks in parallel.

Team · · 8 min read

In the high-stakes world of marketing, information is power. But gathering that information is time-consuming. You have to research competitors, find influencers, analyze market trends, and more.

That's where OpenClaw Subagents come in.

1. What are Subagents?

Subagents are mini-agents that you can spawn to handle specific tasks. They run in the background, report their results back to you, and then disappear.

2. Why Use Subagents for Research?

  • Speed: Instead of doing one task at a time, you can do many in parallel.
  • Focus: Each subagent is focused on a specific task, so it's less likely to get distracted or hallucinate.
  • Scale: You can spawn as many subagents as you need (as long as your machine and API keys can handle it).

3. Workflow: A Competitor Analysis Subagent

Imagine you're launching a new DeFi project. You want to research your top 5 competitors.

  • The Main Agent: Spawns 5 subagents, each tasked with researching one competitor.
  • The Subagent Task: "Scrape [Competitor] website, find their pricing, their core features, and their target audience. Save to research/[Competitor].md."
  • The Result: In minutes, you have a complete dossier on all 5 competitors.

4. Technical Artifact: Spawning Subagents

You can spawn a subagent with a single command:

subagents run "Research the top 5 competitors for [Project]"

Or you can use the subagents tool to manage them:

  • subagents list: See all running subagents.
  • subagents steer: Give a running subagent new instructions.
  • subagents kill: Stop a subagent if it's going off the rails.

5. Parallelizing SEO Keyword Research

Another great use case for subagents is SEO research.

  • Subagent 1: Researches keywords for "DeFi staking."
  • Subagent 2: Researches keywords for "liquid staking."
  • Subagent 3: Researches keywords for "yield farming."
  • Main Agent: Synthesizes all the keyword data into a master SEO plan.

Conclusion: Scale Your Research

At Hangryfeed, we use subagents to handle all our complex research tasks. By parallelizing the work, we can deliver high-quality marketing strategies in a fraction of the time.

CTA Footer: "Hangryfeed helps founders and businesses scale with high-impact marketing. From Reddit and influencer campaigns to content strategy, UGC, and points programs, we build the systems that drive growth—including deploying AI employees to handle the heavy lifting."