Amazon is where a large share of US shoppers search for products, and every listing is built from catalog data: titles, bullet points, attributes, images and A+ content. That same data now feeds Rufus, Amazon’s AI shopping assistant, which answers buyers’ questions and recommends products. Incomplete or inconsistent listings lose both the search and the conversation.
Amazon ranks products on relevance and performance, and relevance starts with listing data: title, bullets, backend attributes and category. With Rufus, buyers ask questions like “which one is better for a small kitchen?” and get answers built from product details, reviews and Q&A. A listing that doesn’t contain those details can’t answer the question — so the assistant recommends a competitor.
Rufus responds to buyers using your listing content. Missing specifications mean weak or wrong answers about your product.
Structured attributes power filters, comparisons and AI answers, yet many listings still leave them empty.
Most brands change titles and images on intuition. Amazon’s experiments tool lets eligible brands test content and keep what converts.
A well-built Amazon catalog powers every surface where Amazon decides what to show and recommend.
Complete titles and attributes put your products in the right searches and in the filters buyers use to narrow their choice.
Buyers ask Rufus questions and get recommendations built from listing details, reviews and Q&A.
For brand-registered sellers, A+ content and the Brand Store add the depth that converts — and give the AI more to work with.
Eligible brands can test titles, images and A+ content against each other and keep the version that sells more.
From the initial audit to monthly reporting: a well-managed catalog isn’t set up once and forgotten — it’s maintained continuously.
These 12 fronts move in parallel, not in series: while we fix catalog errors, we are already improving content, attributes and experiments — so your listings move forward on all fronts at once.
We tell you the true state of your account and what needs fixing, without sugarcoating the diagnosis or selling false promises.
We specialize in product data and listing content for marketplaces and AI shopping channels. We don’t sell for you or run ads: we make your catalog work.
We fix potential issues before the platform penalizes you, rather than after you’ve lost visibility.
We closely follow every change in Amazon’s listing rules, AI features and testing tools so your catalog never falls behind.
We don't just hand over a report and disappear: we stay alongside your account with continuous monitoring and support.
Catalog health, content coverage and experiment results: clear numbers, not vague promises.
We don’t work with generic checklists. Every store has a different catalog, sector and competition, and your Amazon catalog setup is built for your business, not a template.
Incomplete listings don’t show up as an error: they show up as searches you don’t appear in and recommendations that go to a competitor. Let’s talk and review the real state of your catalog.