See Exactly Where Your Products Rank on Amazon and Google Shopping. Then Move Them.
I sold on Amazon US for a decade, and I built the data pipeline that tracks it. Send me one product and the category you compete in. I will send back where you sit against the top 40 results, what the price band actually looks like, and what is holding you down. No Seller Central access, no logins, no charge for the first one.
How this works
Your Rank Is Public. Most Merchants Have Never Measured It.
Everything that decides whether a shopper finds you or a competitor is visible from outside your account. Prices, review counts, titles, who sits above you and by how much. You do not need to give anyone access to your store to see it.
Step one
Baseline
I pick the keywords your buyers actually use, then record where your product sits against the top 40 results on Amazon and Google Shopping. Price band, review moat, who is beating you and on which terms. This is the free part.
Step two
The work
Titles, bullets, backend search terms, feed attributes and price positioning, rewritten against what the baseline showed. This is the part a tool cannot do for you, and it is the part I have been doing on my own listings for over a decade.
Step three
Measurement
The same measurement runs every week. You get a monthly report showing the basket moving, or not moving, with the numbers next to the previous month. Nothing is self reported and nothing is taken on trust.
The number this is judged on
Median rank across your keyword basket. Twenty five keywords, measured weekly, reported monthly against the baseline. Alongside it: how many of those keywords put you in the top 40 at all, how much of the page your three closest competitors hold, and where your price sits inside the band.
Two things I will say plainly, because most people in this business will not. Rank moves for reasons nobody controls, including seasonality, ad spend, stock outs and platform changes, so what I commit to is the work delivered and the measurement reported, never a position. And the measurement reaches the top 40 results by default, so beyond that the honest answer is "not present yet" rather than a made up number.
Where this is going
The same question is arriving in a new form. Stripe, Google and OpenAI have all shipped ways for an AI agent to browse and buy on a shopper's behalf, which means your feed and your structured data are increasingly being read by software rather than people. It is early, and anyone telling you agents are already driving real revenue for mid market merchants is selling something.
What is true is that the things that make you visible to an agent are mostly the things that make you visible today: clean feeds, accurate attributes, honest titles, competitive pricing. I write about where this is actually heading, without the vendor spin.
Operator to operator. No sales pitch.
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Common questions
Frequently Asked Questions
What is agentic commerce?
Agentic commerce is the model where AI agents complete purchases on behalf of shoppers — browsing product catalogs, comparing options, and processing transactions without the shopper manually navigating a store. Systems like Google AI Mode, Stripe's Agentic Commerce Suite, and OpenAI's ChatGPT shopping integration are live examples operating today.
For merchants, it means your Merchant Center feed, structured data, and checkout flow need to be readable and transactable by machines, not just human shoppers. Stores that aren't technically prepared for agent-initiated traffic are invisible to a growing share of purchase intent.
What platforms do you work with?
Kascadian consults on Shopify, WooCommerce, and BigCommerce for storefront work, and covers Amazon US, Amazon Canada, and Walmart Canada for marketplace channels. Stuart is a Shopify Partner and has operated WooCommerce and BigCommerce stores in production alongside active consulting engagements.
Engagements are platform-agnostic. The advice is based on what works for your specific setup, not a preference for one platform over another and not a recommendation to migrate.
What does an AI Commerce Readiness Assessment cover?
An AI Commerce Readiness Assessment is a structured review of your store against the technical requirements for agentic checkout participation. It covers Google Merchant Center feed quality, Stripe ACS configuration readiness, structured data implementation across your product pages, and your bot-layer settings including Cloudflare and Wordfence.
The output is a prioritised action plan that tells you exactly what to fix first and how to fix it on the stack you already run. No generic recommendations. No platform migration pitch. Works on Shopify, WooCommerce, and BigCommerce.
How long does a consulting engagement take?
Most engagements are scoped to a specific deliverable rather than an ongoing retainer. An AI Commerce Readiness Assessment typically takes three to five business days from intake to final report. An n8n workflow build is scoped per workflow and delivered within one to two weeks depending on complexity.
Multi-channel and FBA consulting is structured as a defined engagement with a clear output. Every engagement starts with a 15-minute call to confirm scope before any work begins.
Do you work with Canadian merchants?
Yes. Kascadian has specific expertise in the Canadian ecommerce market, including Walmart Canada seller setup, Stripe Canada payment configuration, Amazon Canada FBA operations, and WooCommerce and Shopify setups for Canadian merchants.
Canadian-specific considerations — platform feature gaps versus the US market, cross-border logistics, and payment stack differences — are part of every relevant engagement. That said, the primary focus is the US ecommerce market, and most content and consulting applies equally to US and Canadian merchants.
