Market Research Assistant
Submit a product idea or topic to receive an automated market discovery memo covering customers, competitors, and market size via email.
What it does
Submit your product idea or topic to instantly receive an automated market discovery memo in your email that covers customers, competitors, and market size. This process breaks down your request into parallel analyses of public sources to synthesize insights on pain points and estimate market potential for you.
Step by step
- Configure the planner agent to output a JSON schema defining three distinct research tasks for customer, market, and competitor analysis.
- Set up parallel execution logic in the orchestration layer to trigger the three specialized research agents simultaneously after the plan is generated.
- Implement a fixed template in Documentero that maps the synthesized insights into specific sections of the final discovery memo.
- Connect the Gmail API with predefined scopes for sending emails and attaching PDF documents.
Where the LLM does the work
- Prompt the Groq or OpenAI model to generate nuanced, context-aware research questions tailored to the specific user-provided topic rather than using static templates.
- Instruct the synthesis agent to weave disparate findings from parallel streams into a cohesive narrative that highlights contradictions and synergies between customer pain points and competitor gaps.
- Have the LLM refine the final email subject line and body text to ensure tone consistency and professional clarity before dispatch.
Watch out for
Tools that fit
The agent brief
You are helping me build the following AI agent workflow. ## Goal Market Research Assistant: Submit a product idea or topic to receive an automated market discovery memo covering customers, competitors, and market size via email. ## Specification - What it does: Submit your product idea or topic to instantly receive an automated market discovery memo in your email that covers customers, competitors, and market size. This process breaks down your request into parallel analyses of public sources to synthesize insights on pain points and estimate market potential for you. - Trigger: Run manually (Manual · on demand) - Autonomy: Fully hands-off - Expected setup effort: a few focused days - Tools/services involved: - Gmail: Deliver discovery memo to inbox - Groq Chat Model: AI reasoning and analysis - OpenAI Chat Model: Alternative AI reasoning option - Documentero: Generate structured document output ## Known pitfalls, handle each one explicitly in your implementation 1. Parallel agents may return inconsistent data formats so enforce a strict JSON schema validation step before synthesis begins. 2. Token limits may truncate long competitor analysis results so chunk the input data and summarize each segment before final consolidation. ## Reference implementation https://n8n.io/workflows/12236 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/ai-market-research-assistant/ via usecasesforagents.com
Frequently asked questions
Can I use a different Email than Gmail?
Yes. Gmail is only the example email in this recipe. The same flow works with Brevo, KlickTipp, Lemlist and Mailchimp. Swap the email connection and keep the rest of the setup as written.
Want this running in your business?
Who it's for
Built for founders and execs who need research handled without hiring for it.
Analysts get a ready-made pattern for turning raw numbers into a report someone will actually read.