Plenty of data. Never enough time to actually sit and read it. That is the honest state of most Amazon accounts in 2026 -- dashboards full of numbers, three different reports to stitch together, and the analysis that matters most still sitting undone at the end of the week.
Helium, a new AI analyst built directly into Helium 10, launches on August 24, 2026. You ask a question in plain English. It reads your live account against ten years of category data. You get a verdict back -- not another metric to decode, not a report to interpret, an actual answer with a priority order.
TL;DR verdict
Helium is a conversational AI analyst inside Helium 10's Diamond plan that reads your live Amazon account against ten years of category benchmarks and 4.5M+ brands to give plain-English verdicts on margin, ads, and listing performance. It launches August 24, 2026, included with Diamond at no extra cost. If you are already on Diamond, this is worth using from day one. See our how-we-test page for methodology. Disclosure: Seller Stacked earns a commission from Helium 10 at no extra cost to you.
What is Helium by Helium 10?
Helium is an AI analyst built inside the Helium 10 platform. It launches August 24, 2026, and is included with Diamond at no extra cost. You type a question -- "where is my margin going?" or "how are my ads doing?" -- and Helium reads your connected Amazon account against Helium 10's ten-year dataset of category benchmarks, then returns a verdict. Not a dashboard. Not a metric to interpret. A decision, in plain language, with what to do first.
The underlying distinction from any other AI tool you might ask the same question is what it reasons over. Generic AI reasons over whatever you paste in and produces an educated guess. Helium reasons over your live account plus $7B+ in monthly Amazon GMV flowing through Helium 10's data -- so when it tells you your ACOS looks high, it already knows what healthy looks like in your specific category.
How did we evaluate Helium ahead of launch?
Helium goes live on August 24. This review is based on Helium 10's pre-launch documentation and my existing 18 months of using Helium 10 Diamond across three Amazon accounts, including a supplements catalogue with 200+ active ASINs. I know what these analysis workflows look like when done manually -- pulling profit reports, cross-referencing Adtomic, checking listing scores one by one -- which gives me a clear picture of where Helium changes the day-to-day.
We will update this review with hands-on session findings after August 24. For our full testing methodology, see how-we-test.
Quick overview: what Helium reasons over
| Data type | What Helium examines | The manual alternative |
|---|---|---|
| Listing quality | Does the page convert before you spend on ads? | Checking listing scores ASIN by ASIN in Listing Analyser |
| Profitability | Your break-even ACOS against your actual margin targets | Exporting from Profits, opening a spreadsheet, calculating manually |
| Ad performance | Winners to keep feeding, spend to stop, terms ready to graduate to organic | Pulling the search term report, filtering, cross-referencing ACoS by campaign |
Any tool can surface one of those data types. Getting an answer that factors in all three at once -- the way a full-time analyst would approach a question -- is what makes a Monday morning question like "why is this ASIN underperforming?" answerable in under a minute rather than over an hour.
All-in-one Amazon toolkit -- Helium AI analyst included on Diamond from Aug 24
from Diamond from $279/mo
Best for: Amazon FBA and FBM sellers on Diamond who want plain-English answers on margin, ads, and listing performance without building a manual reporting workflow around it.
What kinds of questions can Helium answer?
Helium is built around the analysis questions Amazon sellers face every week but rarely get around to investigating properly.
The examples from Helium 10's pre-launch materials show the range:
"Where is my margin going?" Helium identifies that margin slipped from 22% to 18% this month and pinpoints rising TACOS on a top ASIN as the driver. Not a trend line -- a cause.
"How are my ads doing?" Helium surfaces which campaigns are winners worth feeding, which are draining spend, and which search terms are ready to let organic carry. That last one -- knowing when to stop paying for a term because you already rank -- is something most sellers check inconsistently if at all.
"Which ASIN is dragging profit?" Helium cross-references listing quality, profitability, and ad performance, then tells you what to fix first. The example output from Helium 10: "Fix the listing on this ASIN first, then move budget off these two campaigns and into your winners. In priority order."
That is not a data point. That is what you would pay an analyst to give you.
What works
- Reasons across all three data types simultaneously -- listing quality, profitability, and ad performance in one answer, not three separate investigations
- Benchmarks against real category data -- $7B+ in monthly GMV and ten years of Helium 10 data means "healthy ACOS" means something specific in your category, not a general rule of thumb
- Zero configuration -- no exports, no uploads, no API keys. The analyst is already connected to your account
- Read-only -- never touches campaigns, bids, or budgets. You get the verdict; you decide what to act on
- No extra cost on Diamond -- included as part of Diamond from August 24, no usage meter or per-query pricing
What does not
- Amazon-only -- Helium 10 is built exclusively for Amazon. If you sell on Shopify, eBay, or other channels, Helium will not have data on those
- Pre-launch, so hands-on testing is pending -- everything in this review is based on documentation and pre-launch materials. Real-world accuracy may vary; we will update after August 24
- Requires Diamond -- not available on Platinum. For sellers running significant ad spend, the jump to Diamond ($279/month annually) is the gate
- Read-only means you still act manually -- Helium tells you what to fix; you still have to go fix it. It does not adjust bids or rewrite listings
How does Helium compare to the Helium 10 MCP?
This is the question most Helium 10 power users will ask first, and the distinction is worth being precise about.
The Helium 10 MCP connects your own AI tools -- Claude, ChatGPT, or another model -- directly to Helium 10's data through a model context protocol. It is for technically confident sellers who want to build custom analysis workflows using Helium 10's underlying dataset. You bring your own AI, you write your own prompts, and you configure the connection yourself. The ceiling is high; the setup requires some technical comfort.
Helium is the analyst already inside Helium 10. There is nothing to configure. You open your Helium 10 dashboard on Diamond and the chat is there. You ask a question; it reads your account. That is the full setup. It is designed for brand owners who want the answer and do not want to think about how it was produced.
Both are included with Diamond. They are genuinely different products for different use cases.
Who should and should not use Helium?
| Seller profile | Verdict |
|---|---|
| Diamond subscriber managing 10+ ASINs | Use it from day one. Multi-ASIN cross-analysis is exactly where manual workflows break down. |
| Diamond subscriber with 1-3 ASINs | Still worth using -- margin benchmarking and ad performance verdicts apply at any catalogue size. |
| Platinum subscriber ($99/mo) | Helium is a concrete reason to upgrade if you currently spend meaningful time on manual reporting each week. |
| New seller, not yet on Helium 10 | Start with Platinum for keyword research and listing tools. Upgrade to Diamond when monthly ad spend reaches a level that justifies deeper analysis. |
| Shopify-only or eBay seller | Helium does not apply. Helium 10 is Amazon-only by design. |
How does Helium fit alongside other tools in your stack?
For sellers running paid advertising at scale, Helium works alongside dedicated PPC tools rather than replacing them. The tools covered in our best AI PPC tools for Amazon guide handle bid automation, dayparting, and campaign management that Helium does not attempt. Helium identifies which campaigns need attention; a tool like Adtomic (also inside Helium 10 Diamond) or a dedicated platform like those covered in our Perpetua vs Pacvue vs Quartile comparison is what actually moves the dials.
On the analytics side, Helium fills a gap between raw dashboards and verdict-level analysis. If you want broader context on analytics tooling across Amazon and Shopify, see our best AI ecommerce analytics tools guide.
For sellers managing review reputation alongside account performance, our AI Amazon review management guide covers the tools that handle that side of the operation.
What Helium eliminates from your current workflow
Do not lead with features. The honest version of what Helium changes is three specific things that currently consume time:
Pulling three separate reports to understand one problem. Profit analytics, advertising reports, and listing health live in different parts of Helium 10 and require different mental models to read together. Helium reads across all three from a single question.
Guessing whether a number is healthy. 28% ACOS -- is that good? It depends on margin, category, organic coverage, and competitive context. Without benchmarks, it is a guess. Helium benchmarks against ten years of category data and gives you a verdict on your specific numbers.
Spending Sunday afternoon in exports and spreadsheets. The analysis most sellers know they should be doing but do not find time for -- why this ASIN is slipping, which campaigns are actually profitable after COGS -- becomes a question you type rather than a project you schedule.
None of those are dramatic transformations. They are the specific, repeatable time costs that add up across a working week.
Frequently asked questions
External references
- Helium 10 Diamond pricing - official pricing and plan comparison
- Helium 10 reviews on G2 - third-party user reviews
- Helium 10 blog - official product announcements and launch updates