Market Research Synthesizer
Compress 10-20 sources into a 1-page decision-grade brief.
/ quick answer
Feed after a research agent's output; produces the exec-facing brief. Compress 10-20 sources into a 1-page decision-grade brief.
Synthesize the sources into a 1-page brief:
- Market size + growth (1 line, cite).
- Top 3 players + differentiators.
- 3 emerging trends worth watching.
- 3 risks / open questions.
- Recommendation for a new entrant (1 paragraph).
Sources:
{{sources}}
Cite each claim inline as [n].[1-page synthesized brief with inline citations]
What does the Market Research Synthesizer prompt do?
Feed after a research agent's output; produces the exec-facing brief.
Which AI models work with this prompt?
It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.
What output should I expect?
[1-page synthesized brief with inline citations].
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.
- →Research Automation
Research automation turns a question into a sourced, structured answer using search, retrieval, extraction and synthesis agents.
Related workflows
Turn this into a repeatable process.
- →AI Market Research Report in One Afternoon
From blank page to sourced, structured 20-page market report in ~4 hours.
- →Personal Research Assistant Workflow
A repeatable system to research any topic deeply in under 30 minutes.
- →Turn Deep Research Into a Weekly Executive Brief
Use an AI Deep Research agent every Monday to produce a cited market brief in 20 minutes.
- →Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
Related tool stacks
The tools that run it in production.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
- →Solo Market Researcher Stack
One person running weekly market intel across 20+ companies.
- →Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
- →AI Crypto Research Stack
A read-only research stack combining an AI assistant, web search, market data and on-chain analytics to screen assets quickly.
Related prompts
Reusable prompts for this job.
- →Deep Research Prompt Template
Reusable Deep Research prompt that produces cited, structured reports every time.
- →Sourced Research Brief Prompt
Produces a structured brief where every claim carries a citation.
- →Competitor Teardown Prompt
Deep-dive one competitor from public artifacts.
- →Token Research Prompt
Structures a full token due-diligence pass: mechanics, liquidity, concentration, bear case and unverifiable claims flagged explicitly.
Related use cases
How people apply it, and what came out.
- →Tech Creator Replaces a Research Assistant With a Workflow
A YouTuber cut their research time per video from 8 hours to 90 minutes.
- →Consultancy Automates Weekly Market Scans
A sourced competitor and market diff replaced a manual research day.
- →Research A Token With AI
A structured AI research pass cut token screening from three hours to 35 minutes and produced documented passes instead of impulse entries.
- →Build An AI Crypto Research Agent
A read-only research agent produced daily briefings on a 30-token watchlist, cutting a 90-minute manual routine to a 10-minute review.
Comparisons & alternatives
Pick between the options.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.