Audits Every Listing for Errors That Cost You Sales
Scores every ASIN across Content, Images, Catalog Integrity, Visibility, and Creative - then tells you exactly which fix to make first.
Cube for Amazon Revenue Growth, Powered by AI
Cube's AI Amazon Operator reads your Seller Central and Ads data, diagnoses what's actually costing you money - a suppressed listing, a lost Buy Box, an understocked ASIN, an underperforming campaign - and recommends the next fix, with the evidence behind it. A human approves every change before it goes live. Brands working with Cube see measurable gains in Buy Box retention, listing quality scores, and true profit per ASIN.
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The most awesome businesses use Cube.
From new-age brands to established enterprises.
One Tool That Manages Your Entire Amazon Account
Most Amazon tools show you what happened. Cube tells you why, and what to do about it. Our AI Amazon Operator connects to your Selling Partner API and Amazon Ads API data - listings, orders, inventory, pricing, Buy Box status, advertising, and Brand Analytics - and turns it into a single, prioritized action list. No more toggling between six reports to figure out if a sales dip is a listing problem, a stock problem, or a Buy Box problem.
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What Cube Does for Your Amazon Business
Catches Problems Before They Suppress a Listing
Flags backend search-term byte-limit violations, title length errors, missing required attributes, catalog submitted-vs-displayed mismatches, and suppressed variations - before they cost you rankings or sales.
Tracks Buy Box, Traffic, in Real Time
Buy Box %, revenue at risk, sessions, conversion rate, stock-out risk, and return rates - tracked per ASIN, updated continuously.
Everything Included in Cube's Amazon Service
Listing Quality Scoring & Content Fixes
Cube's Listing Audit scores every SKU from 0-100 across Listing, Content, Catalog, Visibility, Creative, and Potential - then writes the fix: rewritten titles under Amazon's character limits, backend search terms trimmed to the 250-byte limit, bullet points, and required attributes filled in. Every recommendation names the exact rule it violates and the profit impact of fixing it.
Image & Video + Content Review
An AI creative reviewer scores your main image, gallery, and A+ content the way an experienced Amazon creative director would - catching a non-white background, a product that doesn't fill the frame, added badges or text, illegible on-mobile copy, or images that contradict the title. Every listing gets a Creative Score, a plain-English verdict, and issues ranked Critical, High, Medium, or Low.
Buy Box Monitoring
Track sales-weighted Buy Box % across your catalog, see exactly which ASINs are losing the Featured Offer, and quantify the revenue exposed while you don't hold it.
Bulk Fixes, Human-Approved
Every recommended change becomes a reviewable line in a decision ledger. You approve what goes live; approved changes export as a ready-to-upload flat file. Cube is read-only by design and never writes to Amazon directly.
Keyword Gap Mapping from Brand Analytics
Builds a keyword coverage map from your Search Query Performance reports, showing which high-intent queries you have no presence on - feeding directly into keyword harvest and negative-keyword recommendations.
Inventory & Stock-Out Alerts
Days-of-cover tracking, stock-out risk alerts, and return-rate monitoring per ASIN - so ad spend gets paused before it's wasted on a listing you can't fulfill.
Why Sellers Choose Cube Over Other Amazon Tools
Profit-first
Every recommendation is ranked by what it protects or adds to contribution profit - not by traffic or vanity ROAS/ACOS.
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Finds the cause, not just the symptom
Diagnoses whether the problem is the listing, price
Evidence-gated.
Statistical thresholds mean campaigns aren't touched, and bids aren't cut, on thin data.
You stay in control.
Every approved change becomes a bulk-upload file and a full decision
Pricing
Smarter plans for smarter workflows
Listing Audit
One full-catalogue audit with a ranked fix list
$499
one-off
Up to 500 ASINs. For example, 800 ASINs bills at $499 + 300 x $0.40 = $619.
- Up to 500 ASINs; $0.40 per additional ASIN
- Listing quality score for every ASIN
- Retail-readiness check: active, in stock, Featured Offer held, not suppressed
- Ranked fix list with the rule violated and the evidence
- Recommended titles, bullets, search terms and attributes
- Flat-file export of the fixes you approve
- Credited in full against your first three months on a monthly plan
Continuous
Ongoing monitoring of listings, offers, inventory and profit
$449
/month
Up to 2,000 ASINs and one marketplace. For example, 2,600 ASINs across 2 marketplaces bills at $449 + $90 + $99 = $638.
- $0.15 per additional ASIN, $99 per additional marketplace
- Everything in Listing Audit
- Daily re-scoring and change alerts
- Featured Offer and suppression monitoring, with revenue at risk per ASIN
- Inventory days of cover, stock-out and return-rate alerts
- Sessions and conversion rate per ASIN
- Keyword coverage built from your own Search Query Performance reports
- Settlement reconciliation and profit per ASIN after Amazon fees
- Before/after verification of every change you make
Continuous + Advertising
Adds the Advertising Operator module
$899
/month
- Requires a connected Amazon Ads account; same ASIN and marketplace allowances as Continuous
- Everything in Continuous
- Contribution economics per ASIN: price, Amazon fees, your COGS and ad spend
- Search-term waste and budget-constraint detectors
- Alerts when spend runs against a lost Featured Offer or a stock-out
- Evidence-gated: nothing is recommended on thin data
- Bulk-upload file for the changes you approve
- Full decision audit trail
Custom Plan
Custom Plan offers fully tailored marketing solutions with flexible features, multi-channel strategies, advanced analytics, and dedicated support to help teams achieve scalable, high-impact campaign results.
Data handling
Data handling and security
How your Amazon data is stored, used, shared and deleted. The full detail is in our privacy policy, linked below.
How Cube uses Amazon data
Authorisation first
Cube accesses Amazon information only after a selling partner authorises it through Amazon, and only to provide the features described on this page for that account.
One seller at a time
Each account's data is scoped to that account. It is never pooled with other sellers' data, never used to produce insights, benchmarks or recommendations for anyone else, and never used to publish insights about Amazon.
No buyer personal data
Cube's listing, retail-health and advertising features do not need Amazon buyer personal data. The app does not request the roles or permissions that would grant it.
Minimum data
Automated analysis receives only the information needed for the specific recommendation. Amazon information is never sold, rented or licensed.
No changes without you
Cube does not change listings, prices, offers, inventory or campaigns. You download approved updates as a file and upload them yourself.
Revoke any time
Sellers can revoke Cube's authorisation from within Seller Central without contacting us. That account's Amazon data is deleted within 30 days.
Encryption and access
Data is encrypted in transit (TLS 1.2 or above) and at rest (AES-256). Access is limited to named staff whose role requires it, protected by multi-factor authentication and logged. Access rights are reviewed quarterly and removed within 24 hours of a role change.
Retention and deletion
Data is kept only while your authorisation is active and the service needs it. When you revoke authorisation or end your subscription, we delete your Amazon data within 30 days, or sooner on request. We do not keep anonymised copies for benchmarking.
Subprocessors
Amazon Web Services for hosting, storage and database. Anthropic for AI analysis. OpenRouter to route AI requests to named model providers. Each processes data only to provide its service to us, under terms that prohibit using it to train models. Links to each provider's terms are in our privacy policy.
How automated analysis is used
Compliance and structural checks run as deterministic rules in our own systems. AI models assess listing copy and images and write the explanation attached to each recommendation, for the authorising seller's account only. They receive the minimum data for that recommendation: listing content, images, search-term text and the performance figures the recommendation relies on. Providers do not train on it and delete it within their standard retention period of up to 30 days, except where they must keep content for abuse prevention or legal compliance.
Accuracy and freshness
Recommendations are produced by AI models and statistical checks. They can contain errors, so each one is shown with its evidence and the date of the Amazon report it is based on. Listing and offer data refreshes daily; Search Query Performance data follows Amazon's weekly and monthly reporting cycle.
Incidents and questions
We maintain an incident response plan with defined roles, reviewed every six months. Any security incident involving Amazon information is reported to Amazon within 24 hours of detection, and affected sellers are notified.
Questions or data requests: support@cubehq.ai
Get in touch
A simple email can change your business. We would love to tell you more about what we can do for you and your company.
MAIL
support@cubehq.ai
We're here to help
Reach out to us with any questions or support needs.
Frequently Asked Questions
What does Cube's Amazon service actually do?
Cube connects to your Amazon Seller Central and Advertising accounts through the Selling Partner API, audits your listings, tracks Buy Box health, inventory, and true profit per ASIN, and recommends prioritized fixes. You approve the changes; Cube never edits your account without your sign-off.
Does Cube make changes to my Amazon listings automatically?
No. Cube is read-only by design. It reads your data and recommends changes, but every change is reviewed and approved by you (or your team) before it goes live, typically as a bulk-upload flat file.
How is this different from Amazon's own Seller Central reports?
Seller Central shows raw data across separate reports. Cube combines listing, inventory, pricing, Buy Box, and advertising data into one prioritized list, and tells you the specific cause and fix - not just the numbers.
What is a "Listing Quality Score" and how is it calculated?
It's a 0-100 score built from five factors - Content, Images, Catalog integrity, Visibility, and Creative - that reflects how complete, compliant, and conversion-ready a listing is. Each score comes with the specific issues lowering it and the fix for each.
Can Cube help if my ASINs are losing the Buy Box?
Yes. Cube tracks Buy Box % per ASIN, flags which listings are below threshold, and estimates the revenue at risk while you don't hold the Featured Offer, so you can prioritize which ones to fix first.
Does Cube manage Amazon advertising too?
Yes, as an optional add-on. The Advertising Operator module joins your Sponsored Products data to your retail and fee data, so ad decisions are measured against contribution profit rather than ROAS alone. It flags search-term waste, budget-constrained profitable campaigns, and spend running against low stock or a lost Featured Offer, each with the evidence behind it. Cube doesn't change bids, budgets or campaigns: you approve each recommendation, and approved changes export as an Amazon bulk-upload file for you to submit. Requires connecting your Amazon Ads account.
What data does Cube need access to?
Cube requests read access to your Selling Partner API data: listings, orders, inventory, pricing, Buy Box status, Brand Analytics/Search Query Performance, and advertising reports. It does not require write access to make its recommendations.
Is my Amazon data shared with anyone else?
No. Your data is used solely to provide analytics and recommendations for your account and is never sold or combined with other sellers' data.
Do I need technical or Amazon expertise to use this?
No. Recommendations are written in plain English with the exact fix and the file needed to apply it. No SP-API or catalog-management experience required.
