About this video
In this video, we cover the basics of Frankenstein tool made by Helium 10. Our colleague David explains why he loves the tool; how we use it to optimize our client's Amazon listings and explain our keyword research process along the way.
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Transcript
Frequently asked questions
Q: What does Helium 10 Frankenstein do and why is it useful for Amazon sellers?
A: Frankenstein is a keyword processing tool that takes a large, messy list of keywords and cleans it up automatically: it removes duplicate words, strips out filler words and single letters, converts everything to lowercase, and formats the output for direct use in your backend search terms field. Before tools like this, sellers had to run keyword lists through several separate tools to achieve the same result. Frankenstein handles everything in one place, reducing a process that could take hours down to a few minutes.
Q: How does Frankenstein fit into the broader keyword research workflow with other Helium 10 tools?
A: The typical workflow starts with Cerebro, which is Helium 10's reverse ASIN lookup tool, to pull the keywords a product or competitor is already ranking for. That raw list gets exported to Excel for a first pass of manual review and color-coding to flag good candidates. The shortlisted keywords are then pasted into Frankenstein for cleaning and deduplication. The processed output is ready to paste directly into your listing's backend search terms field, or into Scribbles if you also want to optimize your visible listing copy at the same time.
Q: Why does Frankenstein remove duplicate words rather than duplicate phrases, and does that matter?
A: Amazon's algorithm automatically generates every possible combination of the individual words in your backend field, so you only need each word to appear once. If you include "men's digital watch" and "digital watch men," the word "digital" and "watch" are already counted twice, which wastes your limited character space without adding any ranking benefit. Frankenstein removes these repeated individual words so your 250-character field is filled with as many unique, relevant terms as possible.
Q: Should I only use keywords that are not already in my visible listing, or can I repeat them in the backend?
A: Ideally, the backend should contain keywords that do not already appear in your title, bullet points, or description, since Amazon indexes a word the moment it appears anywhere in your listing. That said, if you have exhausted all new keyword options and still have character space left, adding your most important ranking terms again is better than leaving the field partially empty. The priority is always to fill the space with something relevant: a half-used backend is a missed ranking opportunity.
Q: What is the find-and-replace feature in Frankenstein useful for?
A: The find-and-replace function is particularly helpful when you are using a competitor's keyword list as a starting point for a new product launch. You can pull their keywords through Cerebro, paste the list into Frankenstein, and then replace their brand name with your own brand name throughout the entire list in one step. This saves significant manual editing time and ensures no competitor brand terms accidentally end up in your backend, which would violate Amazon's terms of service.
Q: What settings should I enable in Frankenstein when preparing backend search terms?
A: For backend search terms, the recommended settings are: remove duplicates, remove common words such as filler words like "for" or "and," remove single letters, convert to lowercase, and set the output format to space-separated words on a single line. Lowercase formatting does not affect ranking but makes the field much easier to review and edit afterward. Avoiding punctuation such as commas and hyphens is also important, since those characters consume character space without contributing any SEO value.
