Multi-Agent Market Research → Competitive Analysis → Strategy Report
Deploy AI agents to research competitors and market conditions from different perspectives, then synthesize findings into actionable business intelligence reports.
Workflow Steps
Claude (Anthropic)
Deploy specialized research agents
Create distinct Claude agents: one focused on pricing analysis, one on feature comparison, one on customer sentiment, and one on market positioning. Each has specific research methodologies and data collection approaches.
Perplexity AI
Gather real-time market data
Use Perplexity's web search capabilities to collect current pricing, recent product launches, customer reviews, and industry news. Feed this data to your Claude research agents for analysis.
Make.com
Orchestrate agent interactions
Set up Make scenarios to coordinate between agents, ensuring they share relevant findings, avoid duplicate research, and build upon each other's discoveries for comprehensive market coverage.
GPT-4
Synthesize competitive insights
Aggregate all agent findings and use GPT-4 to identify market gaps, competitive advantages, pricing opportunities, and strategic recommendations based on the multi-agent research.
Notion
Generate executive report
Automatically populate a Notion template with executive summary, key findings, competitive matrix, and strategic recommendations. Include charts and actionable next steps for stakeholders.
Workflow Flow
Step 1
Claude (Anthropic)
Deploy specialized research agents
Step 2
Perplexity AI
Gather real-time market data
Step 3
Make.com
Orchestrate agent interactions
Step 4
GPT-4
Synthesize competitive insights
Step 5
Notion
Generate executive report
Why This Works
Multiple specialized agents provide diverse perspectives that humans might miss, while automation ensures consistent, unbiased analysis at a fraction of traditional research costs.
Best For
Product managers and marketing teams needing comprehensive competitive intelligence without hiring expensive research firms
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