Consultancy Automates Weekly Market Scans
A sourced competitor and market diff replaced a manual research day.
/ quick answer
A 6-person consultancy produced weekly market briefs for retainer clients — roughly one analyst day per client. A sourced competitor and market diff replaced a manual research day.
/ frequently asked
What is the Consultancy Automates Weekly Market Scans use case?
A 6-person consultancy produced weekly market briefs for retainer clients — roughly one analyst day per client.
What was the outcome?
The pipeline generated cited draft briefs in ~9 minutes per client. Analyst time dropped to 45 minutes of editing, letting the firm take 4 more retainers without hiring.
Which tools were used?
research-automation-stack.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Research Automation
Research automation turns a question into a sourced, structured answer using search, retrieval, extraction and synthesis agents.
- →No-Code Automation
Building business workflows visually without writing code.
- →Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.
- →Crypto Automation
Crypto automation is rule-based execution of monitoring, alerting and recurring on-chain actions, so decisions are made once and applied consistently.
Related workflows
Turn this into a repeatable process.
- →Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
- →AI Market Research Report in One Afternoon
From blank page to sourced, structured 20-page market report in ~4 hours.
- →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.
- →Personal Research Assistant Workflow
A repeatable system to research any topic deeply in under 30 minutes.
Related tool stacks
The tools that run it in production.
- →Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
- →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.
- →Browser Automation Stack
Run browser agents on a schedule with credentials, retries and screenshots.
Related prompts
Reusable prompts for this job.
- →Sourced Research Brief Prompt
Produces a structured brief where every claim carries a citation.
- →Market Research Synthesizer
Compress 10-20 sources into a 1-page decision-grade brief.
- →No-Code Automation Spec Writer
Turn a vague 'I want to automate X' into a buildable scenario spec for Make / n8n / Zapier.
- →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.
- →Tech Creator Replaces a Research Assistant With a Workflow
A YouTuber cut their research time per video from 8 hours to 90 minutes.
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.
- →Best AI Workflow Automation Tools: n8n vs Zapier vs Make
The three tools most operators consider for AI workflow automation — compared on pricing, AI integration and technical flexibility.
- →Browser Agent vs API Automation
APIs win whenever they exist; browser agents exist for the systems that never gave you one.