Helium 10
The Swiss Army knife for Amazon sellers — now with serious AI muscle.
Why we keep using it
There are flashier Amazon tools. There are cheaper ones. But after running Helium 10 against Jungle Scout, DataDive, and a handful of point-solutions across three different Amazon accounts last quarter, the conclusion was the same as it has been for two years: for most operators, Helium 10 is still the default.
The reason is not any single feature. It is the surface area. Keyword research, listing optimization, PPC automation, inventory forecasting, refund recovery — all under one login, all sharing data. The friction of switching between five tools is a real tax on a solo or small-team operation, and Helium 10 removes most of it.
Where the AI actually helps
Helium 10’s AI features used to be marketing fluff. Over the past year that changed materially:
- Listing Builder AI writes titles, bullets, and descriptions seeded directly from Cerebro keyword data. It is not magic — outputs need editing — but it gets you to 80% in 90 seconds.
- Adtomic uses ML for bid management and search term harvesting. On a brand we ran in Q1, it lifted ROAS from 2.8 to 3.6 over six weeks with no manual intervention.
- Review Insights summarizes hundreds of reviews into product improvement signals. This used to take us a half-day per SKU.
The honest take
If you sell on Amazon and you are not using a research tool, start here. If you are already on Jungle Scout and happy, do not switch — the marginal difference is not worth the migration. If you are doing over $5M/yr and your team is large, you will eventually outgrow some modules (especially inventory) and add specialists. But Helium 10 will remain in your stack.