1. Find a reference product and pull its keywords
Browse Amazon for the #1 seller, reverse-engineer its converting keywords across multiple tools.
Now in Early Access
The AI Platform for
E-Commerce Product Management
Specialized agents working in parallel to automate market research, competitor analysis, and product selection. A week of work, delivered in under an hour.
SCROLL TO SEE HOW IT WORKS
Search a product category...
agent_plan.log
AGENT RESEARCH PLAN
Parse search intent
"waterproof wireless earbuds"
Scan supplier databases
Alibaba, Global Sources, 1688
Cross-reference IPX ratings
IPX4 through IPX8 certs
Build material cost matrix
6 materials x 18 suppliers
Generate revenue projections
6-month forecast model
Compile viability report
4-slide presentation deck
LaunchKit Agent v2.10/6 steps
agent_plan.log
AGENT RESEARCH PLAN
Parse search intent
"waterproof wireless earbuds"
Scan supplier databases
Alibaba, Global Sources, 1688
Cross-reference IPX ratings
IPX4 through IPX8 certs
Build material cost matrix
6 materials x 18 suppliers
Generate revenue projections
6-month forecast model
Compile viability report
4-slide presentation deck
LaunchKit Agent v2.10/6 steps
material_breakdown.xlsx
BIU
fx
| A | B | C | D | E | F | |
|---|---|---|---|---|---|---|
| 1 | Material | Suppliers | Unit Cost | IPX Rating | Lead Time | Grade |
Sheet1
Sheet2
+
category_viability.pptx
FileHomeInsertDesign
1
2
3
4
Waterproof Earbuds Viability
Q1 2026 — Category Deep Dive
IPX7 Buds
94%
IPX5 Buds
82%
IPX8 Dive
68%
IPX4 Sport
52%
High viabilityLow viability
LaunchKit1 / 4
Slide 1 of 4
Launch better-performing products faster with LaunchKit
Features
LaunchKit does the research. You make the call.
Multiple specialized agents handle every step of the product research cycle, from market data to a presentation for your review meeting. You stay in control the whole time.
End-to-End Research
Automate the full product research cycle
Your agents run a structured workflow: market sizing, product classification, competitive analysis, and opportunity scoring. Each phase builds on the last. You watch it happen. You steer when it matters.
Market Entry Analysis
3/5 completedIn Progress
Market screeningDone
Data acquisitionDone
ClassificationDone
Competitive analysisRunning
Opportunity scoringPending
Specialized Agents
One question. A dozen specialists.
Other tools hand you a dashboard and wish you luck. LaunchKit dispatches specialized agents for keyword demand, competitor pricing, review sentiment, and more. They run in parallel, cross-verify, and hand you one report your team can act on.
“Baby carriers under $40”
dispatched
Keyword Demand
Agent
Scanning 35 tools…
Clustered demand terms
Flagged non-brand pockets
Built 12-month trend table
Added to research sheet
Brand Benchmark
Agent
Pulling top 20 ASINs…
Mapped top sellers
Built price / feature matrix
Marked open price band
Updated competitor grid
Review Mining
Agent
Reading 12,847 reviews…
Clustered repeat complaints
Tagged usage scenarios
Ranked recurring defects
Filed to VOC table
Real Deliverables
Spreadsheets and presentations you can bring to your next meeting
Your agents produce the same spreadsheets and presentations your team already builds. Every number sourced. Every figure verified. Ready for your review meeting.
XLS
Market-Analysis.xlsxASIN
Brand
Price
Sales
Type
B0BH
Eyrosa
$29.99
1,733
Solar
B0DK
ISUNMEA
$21.99
5,211
Solar
7 sheets · 161 items
PPT
Market-Research.pptxEyrosa
45%
ISUNMEA
10%
Others
23%↑
34 slides · Verified ✓
How It Works
See why teams switch to LaunchKit
1. Find a reference product and pull its keywords
Browse Amazon for the #1 seller, reverse-engineer its converting keywords across multiple tools.
2. Check market size and search trends
Pull revenue, units, Google Trends, and CPC. Cross-reference across SellerSprite, Softtime, and ABA.
3. Find the peak month and export product data
Look at multi-year demand trends, find the seasonality peak, export 400+ ASINs from that month.
4. Classify 400 products one by one
Tag each ASIN by product type, material, and power source. Copy-paste batches into Gemini when your eyes glaze over.
5. Build pivot tables by segment
Break down revenue by product type, material, price range, and brand. Calculate share and growth for each.
6. Compare brand rankings year-over-year
Stack this year against last year. Flag new entrants. See if the top 5 are gaining or losing share.
7. Visit each top competitor's storefront
Click into 5 to 7 brand pages on Amazon, pull their catalogs, find their most stable sellers.
8. Build a competitor spec comparison table
Line up 7 products across 15+ columns of specs, pricing, ratings, and sales data.
9. Read hundreds of reviews and extract pain points
Categorize every complaint, calculate frequency percentages, map what buyers wish existed.
10. Compile a 30+ slide presentation
Piece together every sheet into a market research deck for the internal review meeting.
1. Describe what you're researching
Enter a product category. The agents determine the right keywords, data sources, and research plan automatically.
2. Watch the data come in
Agents pull live marketplace data in parallel. Market stats, product exports, brand analysis, and reviews populate in real-time.
3. Steer the research
Filter out irrelevant products, ask follow-up questions, redirect the agents mid-workflow. You stay in control the entire time.
4. Get your recommendation
A complete product research presentation with market sizing, competitive landscape, pain points, and a Go/No-Go verdict. Ready for your review meeting.
FAQ
Your questions, answered
Have questions? We're here to help.
LaunchKit automates the entire product research cycle that e-commerce teams do before launching a new product. Market sizing, competitor analysis, buyer pain points, keyword research, and a final product recommendation. Specialized agents work in parallel on each part and deliver a complete research presentation.