CLOSED BETA AI Analyst is currently in closed beta and customers are being selected to participate on a rolling basis. If you don't yet have access and are interested, reach out to your Customer Success Manager to discuss joining.
AI Analyst generates structured, presentation-ready reports from Jungle Scout data. Select a subcategory, and AI Analyst pulls from multiple data sources, runs the analysis, and delivers a complete report with written insights, data visualizations, and strategic takeaways, ready to share with your team.
In this article
Available reports
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Market-level view Category Analysis |
Your brand vs. the subcategory Benchmark Brand |
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A brand-agnostic analysis of an entire subcategory. Covers market size and growth, competitive dynamics and brand rankings, search demand trends, pricing distribution, and sibling subcategory comparisons. No integrations or segments required. |
Layers your brand's performance on top of the same subcategory analysis, benchmarking your revenue, market share, pricing, and search visibility directly against the subcategory and your competitors. Uses your first-party account data from Amazon integrations. |
Use this when you want to evaluate a subcategory's opportunity, understand who's winning, or assess competitive dynamics before making an investment or expansion decision. |
Use this when you want to understand how your brand is performing relative to the subcategory, identify where you're gaining or losing market share, and pinpoint specific pricing, competitive, or search opportunities. |
Both reports are scoped to a single subcategory, generate written takeaways alongside data visualizations, and are designed to be shared with your team. The key difference: Category Analysis looks at the subcategory as a whole, while Benchmark Brand centers the analysis on your brand within that subcategory.
Built for speed, clarity, and sharing
Fast results. Reports generate quickly, often in under a minute. No manual data pulling, no spreadsheet assembly.
Presentation-ready. Reports aren't raw data or charts you need to compile into a deck. They're already formatted with structured sections, visualizations, and written analysis, designed for easy reading and sharing with stakeholders.
Insights surfaced for you. Each section highlights what matters and what it means, so you spend time on decisions rather than data gathering.
💬 We're actively adding more actionable recommendations, additional data, and customization options. We'd love to hear what types of reports would be most valuable to you. Share your ideas with your Customer Success Manager.
Getting started with AI Analyst
AI Analyst is accessible from the left-hand navigation in Cobalt, near the top of the menu.
The AI Analyst main page has two areas:
Report buttons
At the top of the page, you'll see buttons for Category Analysis and Benchmark Brand. Click either one to start a new report.
My Reports & Shared with Me
Below the report buttons, two tabs organize your saved reports:
My Reports shows every report you've generated, with the date and your name below each one.
Shared with Me shows reports others in your organization have shared with you.
How to identify reports
Reports follow a consistent naming convention so you can quickly identify which type and subcategory each report covers:
Category Analysis [Subcategory] Category Analysis
Example: Men's Disposable Shaving Razors Category Analysis
Benchmark Brand [Brand] [Subcategory] Benchmark Report
Example: BIC Men's Disposable Shaving Razors Benchmark Report
Each report card also displays the name of the person who ran it and the date it was generated.
Sharing, updating, and deleting reports
To manage a report, open it first. The Share and Delete buttons appear in the top right corner of the report view.
Share gives you three options:
Private (Only Me) - visible only to you (default)
Everyone in my organization - available to all users in your org
Customize - add specific users individually
Shared reports appear in each recipient's Shared with Me tab. You can update sharing settings at any time by reopening the report and clicking Share again.
Delete permanently removes the report from your My Reports page.
Coming soon: Export and PDF download options are in development.
How to run a report
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From the AI Analyst main page, click Category Analysis or Benchmark Brand. |
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Select a marketplace (US and DE available now; more coming soon). |
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Select a subcategory by browsing or searching the category tree. |
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For Benchmark Brand only: select a brand from the dropdown. |
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Click Run Analysis. |
💡 Tip: Some subcategories are nested several levels deep. If you don't see yours, expand the parent category above it or use the search bar. You'll know a subcategory is selectable when you see a circle next to it. If you see an arrow, there are deeper levels to expand.
ℹ️ Note: If you navigate away while a report is generating, return to the AI Analyst main page and refresh to see your completed report.
Category Analysis: report overview
How is this subcategory performing, who's winning, and where are the opportunities?
Report naming: [Subcategory] Category Analysis
Example: Men's Disposable Shaving Razors Category Analysis
The Category Analysis report covers the last 365 days of data and includes all products within the subcategory you select. Products from other subcategories are not pulled in, so the competitive landscape reflects that specific subcategory only.
Data sources: Jungle Scout category performance data and sales estimates. No integrations or segments are needed to run this report. Data refreshes weekly.
Executive Summary
Three strategic takeaways highlighting the most important dynamics, a revenue sparkline, and the 3P (third-party seller) vs 1P (Amazon retail) revenue split. Start here for a quick read on where the subcategory stands.
Category Size and Growth
Revenue, units, and average selling price with year-over-year comparisons. A monthly trend chart shows current vs. prior-year revenue. Use this to understand the overall trajectory before diving into who's driving it.
Competitive Structure
Top brands ranked by market share with share point changes, and top products with estimated sales and revenue. Classifies how concentrated the market is. Use this to assess who your biggest competitors are and how the landscape is shifting.
Demand and Customer Interest
Top keywords with search volume and quarterly growth, plus rising vs. declining keyword trends. Use this to understand what shoppers are searching for and how demand is shifting. For seasonal subcategories, quarterly trends will reflect natural demand cycles.
Pricing
Revenue distribution across price bands and a brand revenue vs. ASP chart. Use this to identify which price ranges drive the most revenue and spot gaps in the pricing landscape.
Sibling Subcategories
How your selected subcategory ranks against siblings under the same parent by revenue, units, and ASP. Use this to evaluate whether adjacent subcategories present additional opportunities.
Benchmark Brand: report overview
How is your brand performing vs. the subcategory, and what's driving it?
Report naming: [Brand] [Subcategory] Benchmark Report
Example: BIC Men's Disposable Shaving Razors Benchmark Report
The Benchmark Brand report covers the last 365 days of data. Your brand's metrics use first-party data from your integrations, while competitor and category data uses Jungle Scout estimates.
Data sources: Your first-party account data (via Amazon integrations) for brand metrics. Jungle Scout category performance data and sales estimates for competitors and the subcategory. The brand dropdown shows only your integrated brands. No segments are needed. Data refreshes weekly.
⚠️ Keep your brand context in mind. AI Analyst surfaces data-driven takeaways based on performance metrics, but it doesn't know your brand's strategy, positioning, or internal goals. For example, a report might flag declining market share in a price band, but if your brand intentionally focuses on premium positioning or margin optimization, that context changes how you'd interpret the finding. Use the report's insights as a starting point and layer in your own knowledge of your business.
Executive Summary
Your brand's revenue with a trend sparkline, current market share with share point change, and three strategic takeaways. Start here for a quick read on your brand's position.
Brand Performance
Your revenue, units, and ASP compared to the subcategory. A dual-axis chart shows your market share trend alongside subcategory revenue over time. Use this to see whether you're keeping pace with, outperforming, or falling behind the subcategory.
Competitive Landscape
Top competing brands ranked by market share with share movement, plus a revenue-vs-ASP bubble chart. Use this to identify who's gaining ground and how their pricing compares to yours.
Price Positioning
Revenue distribution across price bands comparing your brand to the subcategory. Key findings scored as Opportunity (price bands where you're underrepresented but the subcategory is growing) or Risk (where you're concentrated but losing share). Share-per-band donut charts show your position in each tier. Use this to evaluate whether your pricing aligns with where demand is heading.
Search Insights
Your brand's search visibility across the subcategory, measured by share of voice and keyword coverage. This section helps you understand where your brand shows up in Amazon search results and where there are gaps to address.
Three key metrics appear at the top of this section:
Share of Voice (SOV) measures how visible your brand is across the subcategory's most important keywords. It's based on where your products rank in search results, weighted by how much each keyword gets searched. A higher SOV means your products appear more prominently for the keywords shoppers use most. Your SOV rank tells you where you stand among all brands.
Keyword Coverage is the percentage of the top 1,000 keywords where at least one of your products appears in the first 3 pages of search results. High coverage with low SOV means your products show up broadly but aren't ranking near the top.
Top Competitor SOV is the highest share of voice held by any single brand in the subcategory. The gap between your SOV and theirs tells you how much visibility you'd need to gain to lead in search.
You don't need to be tracking keywords in Shelf Intelligence or Share of Voice to see this data. The keywords are identified automatically based on the top-selling products in the subcategory.
SOV is broken down by keyword tier (head, mid-tail, long-tail), and keywords are grouped into actions:
Attack - competitors lead, you have a small presence. Strong opportunities to grow through content and advertising.
Expand - you're present but underweight. Increasing investment here could grow your share.
Defend - you lead but could lose ground. Monitor these and protect your position.
No Presence - keywords you don't appear on. Evaluate whether these are relevant to your brand.
Help us improve
At the bottom of every report, you'll find a Help us improve - share your feedback button. This opens a quick two-step survey: first, rate the report as Helpful or Not Helpful, then add any additional detail in the open text field. Your feedback directly shapes how we develop these reports.
Marketplace availability
Available now: United States, Germany
Coming soon: United Kingdom, Mexico, Canada
Following: Italy, Spain, France
Frequently asked questions
How often does the data update?
The underlying data refreshes weekly. To track trends, run a new report each week.
Does a report I already ran update automatically?
No. Each report reflects data as of the date it was generated.
What date range do reports cover?
Both Category Analysis and Benchmark Brand reports cover the last 365 days of data.
What data does AI Analyst use?
Category Analysis uses Jungle Scout category performance data and sales estimates. No integrations or segments are needed.
Benchmark Brand uses your first-party account data from Amazon integrations for your brand, plus category performance data and sales estimates for competitors. The brand dropdown shows only your integrated brands.
How does the report choose which products to include?
Reports include all products within the subcategory you select. Products from other subcategories are not included. There is not currently a way to manually adjust which products appear in a report.
Do I need to track keywords in Shelf Intelligence or Share of Voice to see Search Insights?
No. The keywords in Search Insights are identified automatically based on the top-selling products in the subcategory. You do not need to set up keyword tracking in any other Cobalt tool.
Can I export or download a report?
Not yet. Export and PDF options are in development.
Which subcategories can I run reports for?
Reports can only be run on the lowest-level subcategories (leaf nodes). In the category browser, you'll know a subcategory is selectable when you see a circle next to it. If you see an arrow, there are deeper subcategories to expand into.
During the beta: Your organization has access to one L2 subcategory and all lower-level subcategories beneath it. An L2 subcategory sits directly below a top-level parent category. For example, if your assigned L2 is "Shaving & Hair Removal Products" (under "Beauty & Personal Care"), you would have access to all subcategories underneath it to run reports.
To change your assigned L2 subcategory, reach out to your Customer Success Manager.
After the beta: Subcategory availability is based on what is included in your specific contract.
Can I run a report at a higher category level or across multiple subcategories?
Reports are currently built around a single leaf-node subcategory. For analysis that spans multiple subcategories, Market Analysis segments may be a better fit.
If running analysis at a higher category level or across multiple subcategories is important to your workflow, share that feedback directly with your Customer Success Manager. We're in active development and this input helps shape what we build next.
How is AI Analyst different from other Cobalt features?
AI Analyst draws from the same data sources available across Cobalt but assembles and analyzes the data for you automatically. You get a structured report with visualizations and written takeaways rather than building the analysis yourself.
Should I take every insight in the report at face value?
AI Analyst surfaces data-driven findings based on performance metrics, but it does not have context about your brand's strategy, positioning, or internal goals. The takeaways are a strong starting point, but they should be interpreted alongside your own knowledge of your business.
For example, a report might highlight declining share in a price band, but if your brand's strategy is focused on premium positioning or margin optimization rather than volume, that context changes the significance of the finding.
Who can see my reports?
Reports are private by default. You control sharing through the Share button in the top right of any report.
How do I share feedback or request new report types?
Reach out to your Customer Success Manager. It's most helpful to describe the specific use case you're trying to solve and why the information would be valuable for your workflow.
Have questions? Reach out to your Customer Success Manager or email cobaltsupport@junglescout.com.