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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Why AI, Why 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.
Amazon insights, anywhere.
Download the Jungle Scout Cobalt mobile app.
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?”
Get 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. (Applies 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?”
Turn performance data into clear next steps.
Frequently Asked Questions
Jungle Scout AI Solutions let brands ask questions about their Amazon business in plain language and get answers grounded in Jungle Scout’s Amazon marketplace data. They come in two forms: Ask Cobalt, inside the Jungle Scout Cobalt platform and mobile iPhone app, and the Jungle Scout MCP, which connects the same data to AI tools like Claude, ChatGPT, Gemini Enterprise, and Microsoft Copilot.
The Jungle Scout MCP brings Jungle Scout’s Amazon data into the AI tool your team already uses, such as Claude or ChatGPT. Ask Cobalt is the AI analyst built into the Cobalt platform itself. Use the MCP to work with Amazon data inside your existing AI workflow, and Ask Cobalt to get answers without leaving Cobalt. Most use cases work in both, and each use case page lists where it’s available.
Both run on Jungle Scout’s proprietary Amazon data: over a decade of marketplace history, more than 600 million tracked products, and visibility into roughly 18% of Amazon’s total GMV. Answers cover categories, brands, competitors, sellers, pricing, products, attributes, keywords, reviews, and advertising.
There are 18 use cases, grouped by the Assess, Diagnose, and Act framework. They cover competitive benchmarking, category sizing, brand, product and portfolio performance, sales estimation, share diagnosis, market trends, review sentiment, buy box ownership, pricing strategy, keyword opportunity, ad performance, product innovation, listing optimization, brand control, Share of Voice optimization, and brand growth recommendations.
It’s the three-stage cycle Jungle Scout AI Solutions are built around. Assess shows where your brand stands today against the category, competitors, and its own history. Diagnose finds the root cause of what you’re seeing. Act turns that diagnosis into a specific next step, and then the cycle repeats.
No. The examples show what kind of question each use case answers, not a required format. Ask in plain language, and the AI maps your question to the right data and analysis.
Existing Cobalt customers can use Ask Cobalt directly inside the Cobalt platform. To use the Jungle Scout MCP, connect it to your team’s AI tool using the MCP getting started guide, then ask questions there.
New customers can request a demo to find the right combination of Jungle Scout Cobalt and the Jungle Scout MCP for their organization.
