AI Solutions
Amazon Insights on Demand
Just ask. Jungle Scout AI helps you answer the most important business questions delivering insights grounded in real Amazon marketplace data — no dashboard, no export, no analyst request.
Jungle Scout’s AI solutions help brands assess where they stand, diagnose what’s driving it, and act with a clear, data-backed plan.
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Way AI, Way Now
Over a decade of Amazon data, now just a question away
Amazon gives you the numbers, not answers. The insight lives in the data around you: the category, the competition, the market. That’s where Jungle Scout comes in.
For over a decade, Jungle Scout has built the most comprehensive and accurate view of the Amazon marketplace. Jungle Scout AI empowers brands to put that intelligence to work, with use cases built to answer your biggest business questions:
- How do I win on Amazon?
- Where are the strongest whitespace opportunities in my category?
- Am I growing with the category or falling behind?
- Why is revenue declining?
- Which competitors are taking our marketshare?
And much more.
Jungle Scout MCP: Connects Jungle Scout data into your native AI environment
Ask Cobalt: Get answers instantly within the Cobalt platform
The Amazon Decision Framework
Every decision impacts your growth
Growing on Amazon isn’t a single decision — it’s a cycle. Jungle Scout’s AI solutions guide you through three strategic stages to accelerate growth.
- Assess: Understand what is happening today.
- Diagnose: Identify the root cause.
- Act: Take targeted action based on the diagnosis.
Amazon insights on demand for all of your use cases
Competitive Benchmarking
“How does our brand compare to competitors on price and positioning?”
See exactly where you're winning or losing against the category, and why.
Category Sizing
“Which brands are driving growth in this category?”
Turn a category name into an instant market read from Jungle Scout data, no dashboard digging required.
Portfolio Performance
“What's our overall account performance trend?”
Get the big-picture health check across all your brands at a glance. (For orgs with multiple brands)
Brand Performance
“What's the brand's total revenue and market share in the category?”
Know your position before a competitor takes it.
Product Performance
“How is our product performing on Amazon — sales and reviews?”
Catch underperforming listings and review issues early.
Sales Estimation
“What are the estimated sales for our product or a competitor's?”
Fill in sales numbers you can't see directly, so no analysis has a blind spot.
Share Diagnosis
“Why are we losing share in [category]?”
Find out why your share actually moved, and what to do about it.
Market Trends
“What trends are emerging in the category right now?”
Catch shifts in demand early enough to act, not react.
Review Sentiment
“What are the most common topics in reviews?”
Understand products from your customer's point of view, what some of the best and worst features are and what they expect.
Buy Box Ownership
“How often are we losing the buy box on our top SKUs?”
Understand why you're losing the buy box and to whom, so you can act
Pricing Strategy Analysis
“What price ranges drive the most sales in the category?”
Price with confidence based on where sales volume actually sits.
Keyword Opportunity
“What are the best keywords to target for our product?”
Point ad and SEO budget where it actually pays off. (Questions apply at both a product and brand level)
Ad Performance
“How is our ad spend performing against category benchmarks?”
Know if your ad dollars are working before you spend the next one.
Product Innovation
“What attributes are driving revenue in [category]?”
Identify what is selling and where there are opportunities, and track new product launches.
Listing Optimization
“Rewrite the titles for my product listings to align with Amazon's requirements.”
Optimize your listings with data-backed recommendations across your portfolio.
Brand Control
“Has the number of unauthorized sellers on [product] changed recently?”
Uncover unauthorized 3P sellers, and enforce seller compliance.
Ad & SOV Optimization
“How can I improve my visibility against my competitors?”
Turn visibility gaps into a concrete plan to close them.
Brand Growth Recommendations
“Given current performance, what direction should our brand pursue?”
Turns scattered performance data into a clear next step.
Frequently Asked Questions
Jungle Scout MCP connects Jungle Scout’s Amazon data to AI tools your team already uses, like Claude, ChatGPT, Gemini Enterprise, and Copilot. Ask Cobalt is the AI-powered analyst built natively inside the Cobalt platform.
Use the Jungle Scout MCP to bring Jungle Scout’s Amazon marketplace data into your existing AI workflow. Use Ask Cobalt to get instant answers directly inside Cobalt’s enterprise platform.
Existing customers can connect Jungle Scout MCP to the AI tool their team already uses, like Claude, ChatGPT, Gemini Enterprise, or Microsoft Copilot. Once connected, just ask your question directly in that tool, and it pulls from Jungle Scout’s Amazon data to answer it.
Existing customers can access Ask Cobalt directly inside the Cobalt platform, no separate AI tool required.
New customers can request a demo to learn more about the appropriate Jungle Scout Cobalt and Jungle Scout MCP solution for their organization.
The decision framework is the three-stage cycle Jungle Scout’s AI solutions are built around: Assess, Diagnose, and Act. Assess shows where you stand today against the category, your competitors, and your own history. Diagnose identifies the root cause behind what you’re seeing. Act turns that diagnosis into a targeted next step, then the cycle starts again.
The framework helps you move past just seeing numbers to understanding what’s driving them and what to do about it. Instead of guessing at a fix or reacting to a symptom, you work through the repeatable and scaleable framework our best-performing customers already use to grow.
The examples show the type of question each use case answers, not a required format. Ask in plain language, and the AI maps the question to the right data and analysis.
