A term set earns its keep when it feeds several listings and the campaigns behind them.
Keyword research
Amazon keyword research services for growing brands
The keyword set your listings and campaigns run on — built from Amazon search data rather than Google volume, with every term mapped to a placement.
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High-value keywords
8 inch chef knifejapanese chef knifedamascus chef knifechef knife setprofessional chef knifechef knife for beginners
Competitor
AnalysisPPC
KeywordsReverse
ASINTrend
AnalysisSearch
VolumeKeyword
Difficulty
AnalysisPPC
KeywordsReverse
ASINTrend
AnalysisSearch
VolumeKeyword
Difficulty
Trusted by
awesome clients
Altira
Bear Balanced
Dr. Martin’s NutritionAltira
HoMedics
Mojo
JEETHoMedics
Marley
KoreanSkin
NativaeMarley
Olyvo Labs
Pet Lovers
We Love Doodles
PettopOlyvo Labs
Who this is for
Built for brands guessing at which terms to chase
Every marketplace has its own vocabulary, so a ported term set indexes for the wrong words.
Brand Analytics is the closest thing to ground truth Amazon publishes. Useful, not required.
If nobody can say which term each listing is meant to win, that is the gap this closes.
The problem
Why your keyword list is not working
The list comes from a toolGoogle volume, not Amazon search data
Terms compete with each otherThe same word in three places at once
You bid on words nobody typesSpend proving a term has no buyers
The difference
What we do differently
Four decisions that separate a term set from a keyword export.
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Point 1. Amazon data, not Google
Its own suggestionsSeeds come from the product. Expansion comes from Amazon’s own search suggestions, related searches and the terms the ranking competitor set is indexed for.
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Point 2. Checked, not estimated
Brand AnalyticsThird-party volume estimates are cross-checked against your Search Query Performance data where you have it — the closest thing to ground truth Amazon publishes.
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Point 3. Grouped by intent
Four kinds of termHead, attribute, use-case and competitor terms are separated before anything is mapped, because each one is bid and placed differently.
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Point 4. A workbook you own
Not a subscriptionDelivered in a format a copywriter or a media buyer can work straight from, with or without us.
01
Setup
Seed and expand — Product-led seeds, then Amazon’s own suggestions
Product-led seeds, then Amazon’s own suggestions, related searches and the competitor index.
Product seedsAmazon suggestionsRelated searchesCompetitor index
You end up with: A wide first list of terms
02
Setup
Volume and relevance check — Estimates checked against the data and against who ranks
Estimates cross-referenced against Brand Analytics data where available, and against who actually ranks.
Volume estimatesBrand AnalyticsWho ranks
You end up with: The list cut to terms that matter
03
Setup
Group by intent — Because each kind of term is bid and placed differently
Head, attribute, use-case, competitor and brand terms separated, because each is bid and placed differently.
HeadAttributeUse-caseCompetitor
You end up with: Terms grouped by how they get used
04
Setup
Map to placements — One term, one job
Title, bullets, backend, paid-only. One term, one job.
TitleBulletsBackendPaid-only
You end up with: A placement for every term
05
Handover
Hand over the workbook — Usable by a writer or a media buyer without us
Yours to keep, in a format a writer or a media buyer can use without us.
Full term setIntent groupsPlacement map
You end up with: A workbook that is yours to keep
Amazon backend keywords, and why they differ from Google
Google search is a mix of intents. Someone typing “running shoes” might be buying, comparing, reading a review or looking for a shop near them. Amazon search is one intent: buying, now. That changes which words matter and how much each one is worth.
It also changes the shape of the tail. Amazon buyers use specific, attribute-heavy phrases — size, colour, compatibility, quantity — because they are filtering a shelf rather than asking a question. Those phrases rarely register on Google tools at all.
The marketplace layer on top of that: every Amazon marketplace has its own volume distribution and its own vocabulary. Research run on one marketplace’s data and applied to a listing in another produces a term set that looks thorough and indexes for the wrong things.
Amazon backend search terms, listings and advertising
The same set does both jobs. Terms mapped to title and bullets drive organic rank; terms mapped to paid become the exact-match campaigns in PPC management. Doing the research once, for both, is why the two stop contradicting each other.
Industry wins
Tara LangeContent & Communications Officer, VIBAe
James WaddingtonCo-Founder, BlueCo — London
Alex TwiggMarketing Director, CEMBLOC — England
Peter ReitanoCEO, Mojo — Toronto, Canada
Jonas SvenssonMarketing Manager, Sweden
Proven results with 7- and 8-figure Amazon brands
eCommerce
Amazon SEO & listing optimisation
Visibility rebuilt on marketplace search data
Keyword sets rebuilt against each marketplace's own data rather than adapted from another marketplace's listing, then titles, bullets and backend terms rewritten to match. Clients across this group report stronger keyword rankings, more organic traffic and better conversion.
Engagement8 months
Client rating5.0 / 5.0
Tara LangeContent & Communications Officer, VIBAe
Verified on Clutch
★★★★★
4eCommerce brands, all rating the work 5.0
Also in this group: Èidean · Seeds Wild · Mojo
Consumer brands
Amazon SEO & listing optimisation
40% sales increase and organic ranking gains
Listings rebuilt from Amazon keyword data with backend terms and A+ Content restructured. The client reports a 40% increase in sales alongside substantial improvement in organic ranking — an engagement that has been running since 2024.
EngagementOngoing since Jul 2024
Sales change+40%
James WaddingtonCo-Founder, BlueCo — London
Verified on Clutch
★★★★★
+40%Sales increase, as reported by the client on Clutch
Also in this group: Magic Under (France)
Manufacturing
PPC & ecommerce marketing
Wasted ad spend cut, keyword positions held
Campaign structure rebuilt around intent — discovery, performance and brand defence separated — with negatives worked weekly and bids set against a target agreed in advance. Reported outcome: steadier positions and better click-through at lower waste.
Engagement5 months
Client rating5.0 / 5.0
Alex TwiggMarketing Director, CEMBLOC — England
Verified on Clutch
★★★★★
5.0Quality, schedule, cost and referral, all rated 5.0
Also in this group: Clenviro (website SEO, not Amazon)
Supplements
Amazon review generation
Fifty verified reviews in a single month
A review programme run entirely on Amazon's own mechanisms — nothing bought, nothing conditional — with the sourcing and the policy position shown to the client rather than glossed over. Reported outcome: 50 verified reviews including photo and video from real buyers within one month, and improved store visibility.
Engagement1 month
Client rating5.0 / 5.0
Peter ReitanoCEO, Mojo — Toronto, Canada
Verified on Clutch
★★★★★
50Verified reviews from real buyers, inside one month
Also in this group: Kendra Scott · Seeds Wild
Technology
Amazon SEO services
Product discoverability across a full range
Keyword and indexing work across the catalogue, rebuilding backend terms where listings were indexing on the wrong vocabulary entirely. Reported outcome: improved keyword rankings and stronger product discoverability.
Engagement8 months
Client rating5.0 / 5.0
Jonas SvenssonMarketing Manager, Sweden
Verified on Clutch
★★★★★
5.0Rated 5.0 across all four Clutch measures
Client published the review anonymously
Verified client reviews
What clients say, on the record.
★★★★★ Verified on ClutchThey not only delivered results quickly, but did so in a way that felt aligned with our brand and Amazon's terms.
Amazon marketing servicesQuality 5.0Schedule 5.0Cost 5.0Refer 5.0Peter ReitanoCEO, Mojo — Toronto · eCommerce · Aug 2025
★★★★★ Verified on ClutchWhat stood out most was their understanding of Amazon reputation management.
Online reputation management · Jan–Oct 2025Quality 5.0Schedule 5.0Cost 5.0Refer 5.0Maggie StoneSenior IT Operations, Kendra Scott — Austin, Texas · Retail · Jun 2026
★★★★★ Verified on ClutchMotionTrust Digital's experience with Amazon stands out.
Amazon SEO & ecommerce marketing · Jan–Aug 2026Quality 5.0Schedule 5.0Cost 5.0Refer 5.0Tara LangeContent & Communications Officer, VIBAe — Helsinki, Finland · eCommerce · Aug 2026
★★★★★ Verified on ClutchThey communicated clearly throughout the engagement, provided updates consistently, and remained responsive.
PPC & ecommerce marketing · Jan–May 2026Quality 5.0Schedule 5.0Cost 5.0Refer 5.0Alex TwiggMarketing Director, CEMBLOC — England · Manufacturing · May 2026
★★★★★ Verified on ClutchMotionTrust Digital's personalized approach and deep commitment to understanding our business impressed us.
Amazon consulting & listing optimizationQuality 5.0Schedule 5.0Cost 5.0Refer 5.0James WaddingtonCo-Founder, BlueCo — London, England · Ongoing since Jul 2024
★★★★★ Verified on ClutchThe communication and ease of the whole process were great.
Online reputation management · Dec 2024–Jan 2025Quality 5.0Schedule 5.0Cost 5.0Refer 5.0Mark BOwner, e-commerce company — Kennewick, Washington · Jan 2025
★★★★★ Verified on ClutchThey got it done.
Amazon marketing · Dec 2024–Feb 2025Quality 5.0Schedule 4.0Cost 4.5Refer 4.5Roman ChuyanPresident, Nature Of Beauty Inc. — Boston, Massachusetts · Jan 2025
Pricing
What keyword research costs
Keyword research on its own, paid once and yours to keep: the terms, how they group, and where each one belongs in the listing and the campaigns.
| IncludesOne-time | Single Product$249one-time1 parent ASIN | RecommendedProduct Range$599one-timeUp to 3 parent ASINs | Catalog Research$999one-timeUp to 5 parent ASINs |
|---|---|---|---|
| Parent ASINs covered | 1 | Up to 3 | Up to 5 |
| Relevant competitors analysed | Up to 5 per product | Up to 5 per product | Up to 5 per product |
| Relevance and intent grouping | Included | Included | Included |
| Keyword placement map | Included | Included | Included |
| Available volume estimates, with source and date | Included | Included | Included |
| PPC keyword grouping | Basic | Detailed | Detailed |
| Cross-product overlap analysis | Not included | Included | Included |
| Handover call | Not included | 30 minutes | 60 minutes |
Single Product
$249one-time
1 parent ASIN
- Parent ASINs covered
- 1
- Relevant competitors analysed
- Up to 5 per product
- Relevance and intent grouping
- Included
- Keyword placement map
- Included
- Available volume estimates, with source and date
- Included
- PPC keyword grouping
- Basic
- Cross-product overlap analysis
- Not included
- Handover call
- Not included
Recommended
Product Range
$599one-time
Up to 3 parent ASINs
- Parent ASINs covered
- Up to 3
- Relevant competitors analysed
- Up to 5 per product
- Relevance and intent grouping
- Included
- Keyword placement map
- Included
- Available volume estimates, with source and date
- Included
- PPC keyword grouping
- Detailed
- Cross-product overlap analysis
- Included
- Handover call
- 30 minutes
Catalog Research
$999one-time
Up to 5 parent ASINs
- Parent ASINs covered
- Up to 5
- Relevant competitors analysed
- Up to 5 per product
- Relevance and intent grouping
- Included
- Keyword placement map
- Included
- Available volume estimates, with source and date
- Included
- PPC keyword grouping
- Detailed
- Cross-product overlap analysis
- Included
- Handover call
- 60 minutes
- This delivers the research and recommendations. Listing rewriting and campaign implementation are separate.
- Keyword research is also part of every retainer on the pricing page.
- Prices are in US dollars. UK clients get their GBP figure in the written scope.
Applies to every plan
- Parent ASINs
- Plans count parent products, and each parent includes up to five straightforward child variations. Larger or substantially different variation sets need a quote.
- No double billing
- Keyword research, SEO or review setup already bundled into your plan is never charged again as standalone work.
- Not included
- Ad spend, Amazon fees, taxes, photography, video, translation and specialist third-party costs.
Get a free Amazon keyword gap check
A free written keyword audit, back within 48 hours. Yours to keep.
The offer
Amazon keyword research services
What is included
- Product-led seed list
- Expansion from Amazon search suggestions
- Volume and relevance check
- Intent grouping
- Placement mapping
- Competitor ranking picture
Research is in every retainer tier, because nothing else works without it. If you only want the workbook it is a one-time project, from $249 for one parent ASIN, and the file is yours to keep. The plans are published in full below.
What you get
Seed and expandA wide first list of terms
Volume checkedThe list cut to terms that matter
Intent groupsTerms grouped by how they get used
Placement mapA placement for every term
The workbookYours to keep, and usable without us
Get My Free Keyword Audit
Process
How a research project starts
The five stages above are the work. This is how you get to them.
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Step 1. Free keyword gap check
You send the category. We check which terms the ranking competitors appear for and you do not, and write it up.
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Step 2. Strategy call
Thirty minutes on which gaps are worth chasing and which are not worth the spend.
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Step 3. Scope and proposal
How many ASINs and which marketplaces, priced from the published rates. The workbook is yours either way.
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Step 4. Research and handover
Seeds, expansion, volume checks, intent grouping and placement mapping — then the workbook.
FAQ
Keyword research questions
Why can't I just use Google keyword data for Amazon?
Because the intent is different. Google volume includes people researching, comparing and reading; Amazon search is almost entirely buyers. A term with high Google volume can have almost no Amazon volume, and Amazon-specific terms often have no Google footprint at all. Using Google data on Amazon systematically targets the wrong words.
What do I actually receive?
A keyword workbook: every term with its estimated marketplace volume and relevance, grouped by intent, and mapped to a placement — title, bullets, backend, or paid-only. Plus the competitor ranking picture for your primary terms and a shortlist of gaps worth attacking.
Do you use Helium 10 or Jungle Scout?
We use tool data as an input, not an answer. Every estimate is cross-checked against Amazon's own search suggestions, the ranking competitor set and, where available, your Search Query Performance data from Brand Analytics — which is the closest thing to ground truth Amazon publishes.
How often should keyword research be redone?
For a stable catalogue, once or twice a year, plus whenever you launch a product or a competitor changes the category. Seasonal categories need a refresh before each season. Redoing it monthly is usually agency busywork rather than something the data justifies.
Work with us
Want to see the searches you are missing?
We will build the keyword map from your own search term and sales data rather than a generic export, and mark what you rank for, pay for, and never appear on. Two ways to start, and both are free: get a written audit back within 48 hours, or book a 30-minute call with the person who would run the work.