Ahead in ecommerce
A buyer asking an AI engine for the best product in your category gets one answer naming two to five brands. There is no page two and no position three. This is the work that decides whether your store is in that sentence.
What are the best sustainable outerwear brands for winter?
For sustainable winter outerwear, the brands most consistently recommended are Patagonia for durability and its repair programme, Arc'teryx for technical performance, and Fjällräven for longevity. Your brand — not mentioned Reviewers particularly highlight recycled down and PFC-free membranes as the differentiators worth paying for.
Type it to see where you sit in this answer.
What we measure
Every scan generates one prompt from each cluster, shaped by what you actually sell. These are the shapes they take in ecommerce.
What you actually get
The same twenty-five queries are scored for you and for three competitors detected from your own site. A citation rate on its own is abstract. The distance between you and the brand winning your category is not.
Every domain the engine read to build its answer, ranked by how often it appeared. In ecommerce that set is small and stable, which makes it a target list rather than a research project.
These are the pages the engine read to build its answer. Appearing on them is the work.
The free check runs one engine. The full report runs all six on identical prompts, so you can see which engines already recommend you and which have never heard of you — they disagree more than most people expect.
What we change
Most stores have Organization markup on the homepage and nothing on the pages that sell. Product, Offer, and AggregateRating are what let an engine resolve a specific item at a specific price with real reviews behind it, rather than a page it cannot classify.
Your product pages describe one item to somebody who already chose you. Comparison and shortlist questions retrieve documents that compare things. We write the pages that put you next to the two competitors buyers actually name, including the trade-offs that favour them, because a page that only flatters you is not usable as a source.
Your scan returns a ranked list of the domains the engine used instead of you. In ecommerce that is usually a predictable mix of review sites, category roundups, and forum threads. That list becomes the outreach target list, in priority order.
Made in the USA, mulesing-free, plus-size, under fifty dollars. Most stores state their strongest claim on their own site and nowhere else, so when a buyer asks for exactly that attribute the engine answers from third-party pages that never mention them.
Yes, and the checker detects Shopify automatically along with your product categories and real price band. Shopify's default themes ship reasonable Product markup but usually miss Offer availability, review markup, and the entity signals that connect a store to the brand behind it.
No. Buy-intent questions are asked at category and attribute level, not SKU level. The work concentrates on category pages, comparison content, and the structured data template that every product page inherits — which is one change applied across the catalogue rather than thousands of individual edits.
Run the free check, then tell us what you need — your result is attached automatically.
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