AI Market Research Report in One Afternoon
From blank page to sourced, structured 20-page market report in ~4 hours.
/ quick answer
A deep-research agent gathers sources, a synthesis chain structures findings, and a review pass fact-checks each claim against its source. From blank page to sourced, structured 20-page market report in ~4 hours.
- 01Define scope: market, segments, geographies, time horizon.
- 02Run a deep-research agent (Perplexity, GPT Deep Research, or a custom LangGraph pipeline) with a scoped brief.
- 03Extract structured findings: TAM/SAM/SOM, top 10 players, pricing bands, trends, risks.
- 04Synthesise into a report skeleton, one section per finding, with inline citations.
- 05Fact-check pass: for each cited claim, re-fetch the source and verify the quote/number.
- 06Export to a shareable doc; archive raw sources for defensibility.
- Version-control the report so quarterly updates are diffs, not rewrites.
What does the AI Market Research Report in One Afternoon workflow do?
A deep-research agent gathers sources, a synthesis chain structures findings, and a review pass fact-checks each claim against its source.
What problem does AI Market Research Report in One Afternoon solve?
Market reports take weeks and cost thousands, most of it spent gathering sources you'll skim once.
How many steps does AI Market Research Report in One Afternoon take?
6 steps. It starts with define scope: market, segments, geographies, time horizon. and ends with export to a shareable doc; archive raw sources for defensibility..
Which tools does AI Market Research Report in One Afternoon need?
It uses ai-research-stack — each linked below with its own node.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Hallucination
When an LLM confidently generates false or fabricated information.
- →Chain of Thought
Prompting an LLM to reason step-by-step before answering, often improving accuracy on hard tasks.
- →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.
- →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.
- →AI Crypto Research Workflow
A repeatable research loop: turn a question into market data, on-chain evidence and a written risk view before any position is considered.
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.
- →Competitor Discovery Prompt
Surface and structure direct competitors for a given product.
- →Structured Data Analysis from CSV
Get a defensible analysis + chart suggestions from a raw CSV with no human pre-processing.
- →Market Research Synthesizer
Compress 10-20 sources into a 1-page decision-grade brief.
- →Deep Research Prompt Template
Reusable Deep Research prompt that produces cited, structured reports every time.
Related use cases
How people apply it, and what came out.
- →Consultancy Productizes an Audit With AI Agents
A 4-person data consultancy turned its manual audit into a €2k self-serve product.
- →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.
Comparisons & alternatives
Pick between the options.
- →Perplexity vs ChatGPT Search
Two answer engines, two philosophies: citation-first research vs conversational assistant.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.