Walmart Keyword Research With Helium 10 Cerebro | Vova Even

The quick answer

How do you find Walmart keywords with Helium 10 Cerebro?

Helium 10 Cerebro can reverse-search a Walmart Product ID to show keywords connected with a competing product. Choose Walmart as the marketplace, enter one or more relevant Product IDs, review organic and sponsored visibility, then filter the list by relevance, search demand, competition, and match type. Use the results to improve your Walmart listing and advertising research, not as a guarantee of ranking or sales.

What does reverse Product ID research show you?

On Amazon, sellers often talk about reverse ASIN research. Walmart uses a Product ID instead. The principle is similar: begin with a product that competes for the same shopper, then inspect the keywords connected with that product.

A useful result is not simply a long export. You want evidence that helps answer three questions: which searches are relevant, where competitors appear organically, and where they are showing up in sponsored placements.

This is why competitor selection matters. A product can rank for thousands of phrases and still be a poor reference if it serves a different buyer, includes different features, or sits in a very different price range.

How to find a Walmart Product ID and choose competitors

Helium 10's Walmart guide describes two practical ways to get the identifier. Open a Walmart product page and copy the Product ID from its URL, or run Xray on Walmart and copy the Product ID from the results.

Before copying IDs, compare the listings manually. I would favor products with a similar primary use, comparable pack size, overlapping features, and a price range that attracts the same kind of shopper. A premium travel backpack and a child's school bag may both be backpacks, but their useful keywords can be very different.

1. Search the main product phrase on Walmart. Look at the products that repeatedly appear among the relevant results.
2. Open several close listings. Check size, material, use case, quantity, price, reviews, and visible product attributes.
3. Copy Product IDs. Save each ID beside a short note explaining why that product belongs in your comparison.
4. Remove misleading references. A bestseller is not automatically a good competitor if its offer solves a different problem.

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How to run a Walmart Cerebro search step by step

The current interface may appear as Cerebro or Cerebro with Magnet functionality, but the reverse-product workflow remains straightforward. Keep the research question simple on your first pass.

1. Open Cerebro and choose Walmart. Check the marketplace before entering any IDs so you are not interpreting Amazon results as Walmart data.
2. Enter your seed Product ID. For a single-product search, paste the ID and run the keyword search.
3. Add close competitors when useful. Multi-product research helps expose phrases shared across several relevant listings instead of relying on one unusual competitor.
4. Review organic and sponsored distribution. Notice whether important phrases are associated with unpaid visibility, sponsored visibility, or both across your comparison set.
5. Filter for relevance. Use search-volume estimates, rank, competition, word count, phrase include or exclude filters, and match type to make the list manageable.
6. Save the useful phrases. Keep a focused working list with notes about why each keyword matters and where you plan to test it.

How to filter Walmart keywords without losing buyer relevance

A high number is not enough. The keyword must describe the product accurately and match a realistic customer need. I would rather keep twenty highly relevant phrases than a thousand loosely related ones that make the listing or advertising harder to manage.

Start by excluding competitor brand names and product features you do not offer. Then use phrase filters to keep the vocabulary that matters. Word count can help separate broad terms from more specific searches, but do not assume a longer phrase is automatically better.

The video also highlights an important Walmart behavior: shoppers often use a broad search and then refine with filters. That means structured product attributes matter alongside the words you type into the listing. An Amazon long-tail keyword strategy should not be copied to Walmart without checking what customers actually see on Walmart.

If you are unsure about a phrase, open the Walmart results and look at the products a shopper sees. Search intent becomes much clearer when you compare the actual page instead of judging the keyword in isolation.

Turn the keyword list into listing and PPC decisions

For listing optimization, use the strongest relevant terms where they naturally help a shopper understand the product. Keep titles, descriptions, key features, and structured attributes accurate. Keyword research should improve clarity, not create repetitive copy that reads as though it was written for a search engine instead of a customer.

For advertising research, sponsored visibility can show where competitors are appearing. I treat that as a clue rather than a recommendation to copy every target. A competitor may be testing a term, overpaying for it, or selling a different variation. Start with the phrases that fit your product closely, control the budget, and judge them by your own traffic and conversion results.

Keep the organic and advertising work connected. If a term attracts qualified shoppers through ads and accurately describes the product, make sure the listing communicates that relevance clearly. If a phrase gets traffic but shoppers do not buy, investigate the offer before simply increasing the bid.

What has changed since the original Cerebro video?

Helium 10's newer documentation refers to an updated Cerebro workflow with Magnet functionality, so menu names and screens may not look exactly like the recording. The important method remains the same: select the correct marketplace, start from a relevant product or keyword, and narrow the output with filters.

The biggest data point to treat carefully is Walmart search volume. Helium 10's current Cerebro guidance describes Walmart Search Volume as a proprietary estimate that is still in beta and says exact and historical Walmart search-volume data are unavailable. Amazon Search Volume remains available as a comparison metric.

Track what happens after you optimize

Keyword research is most useful when you come back to it. After changing a listing or testing ads, track the important phrases and record what changed. A ranking move matters more when it connects with better qualified traffic, conversion, and profit.

Ready to test the workflow?

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Walmart Cerebro keyword research: common questions

Build a keyword list you can actually use

The strongest part of reverse Product ID research is not the size of the export. It is the ability to connect shopper language with real competing products, then decide which phrases deserve space in your listing, attention in PPC, or tracking after you make a change.

My recommendation is to finish each Cerebro session with three things: a short keyword list, a note explaining why each phrase matters, and one next action. That keeps the tool connected to the business decision you were trying to make in the first place.