Paz for footwear brands
Footwear shoppers ask whether a shoe runs narrow, whether it comes in a wide fit and what a US 9 is in EU sizing. Paz handles the product-information work behind product-page SEO, AI visibility, content and feeds for footwear brands. Our experts agree the priority styles with you, complete the fit details pages and feeds leave out and track the result.
What you get: Fit, width, size conversion and material details completed on priority styles, Google Shopping eligibility checked after feed updates, and your own product pages tracked in answers to shoppers asking ChatGPT or Google AI which shoe fits.
What gets in the way
The product-information problems we see most often in footwear catalogs.
Fit and width questions decide the sale
Shoppers ask whether a boot runs small, whether a sneaker comes in wide or extra wide and how a half size fits. When the fit notes live in reviews and a size chart image, your product page may lack the detail a competitor or retailer already provides.
Size conversion and size runs in the feed
One style in US, UK and EU sizes across two widths is dozens of SKUs. Missing required size values can affect approval, while recommended size system and size type values and item group fields help clarify variants. We check the size run in Merchant Center.
Material and use-case details in the photos
Full-grain leather, waterproof membrane, slip-resistant outsole, safety toe. Details that only show in a product shot or a spec PDF can be missing from the feed, shopping filters and answers to “best work boot for standing on concrete all day”.
Retailers and marketplaces answer first
The same style sells on your site, at a department store and on a marketplace. Their listings may carry fit notes that your own product page lacks, giving shoppers more detail about the same shoe elsewhere.
The work on one product
From a signal on one product to the next check, the way it runs on every priority product in your catalog.
The signal
A priority wide-fit walking shoe is missing from AI answers to “comfortable wide-fit walking shoes for women with bunions”. The answers name two competitors and a marketplace listing of your own shoe.
What Paz reads
Paz reads the product record, the feed, stock in your ERP and the tracked question together. The shoe has a wide and extra-wide last, a soft leather upper and a removable insole in your PIM, and the product page and feed show a style name, a price and a color.
What our experts ship
Our experts add the width options, fit note, upper material and insole details to the product page, complete size, size system, size type, gender and item group fields for every size in the feed and rewrite the title to the fit and use shoppers search for.
What we check next
The question is checked again across ChatGPT, Google AI Mode, Gemini, Perplexity and Copilot, Merchant Center status for the size run is verified after the next sync and clicks on the shoe pages are compared with the baseline.
What's included
The work a Paz expert carries for you, month after month.
Priority styles agreed
Core styles, seasonal launches and margins decide which products get attention first.
Fit and sizing completed
Width options, fit notes, size conversion and last shape filled from your size charts, PIM and product team.
Size-run eligibility checked
Required size values and useful variant fields corrected, then each priority size checked in Merchant Center after the next feed sync.
Titles that match searches
Style names rewritten to the fit, material and use shoppers type.
Shopping questions tracked
Fit, width, activity and budget questions checked across ChatGPT, Google AI Mode, Gemini, Perplexity and Copilot.
Season reviewed
Appearances, disapprovals and clicks reported against the baseline, next launch planned.
How it runs
Start with your priorities
Collections, margins, seasons, buyer personas and the questions that matter. One Paz expert is your point of contact.
Paz reads your systems
Catalog, Merchant Center, analytics and search data read together, against those priorities.
Our experts ship
Within your approved guidelines. Anything that needs your attention comes to you first.
We measure and go again
Every change is tracked against the baseline, and what happened shapes the next round.
Frequently asked questions
Our wide-fit pages exist. Why do AI answers still skip them?
A product page may mention wide only in the name. We add the widths, the fit note and the size conversion as visible text and structured fields, then track whether the page appears in answers to fit questions.
We are moving to Shopify mid-season. Can Paz work through the migration?
Yes. We capture a baseline before the cutover, carry product identifiers, fit details and metafield mappings into the new catalog, check redirects and the Merchant Center sync after launch and compare the tracked questions and clicks with the baseline.
Which footwear questions do you track?
Questions built from your buyer personas and styles, such as fit, width, activity, material and budget. We report which products appear, whether a retailer or marketplace appears for your own style, and what changed after each round.
Put Paz to work for your store.
Tell us where you need help with SEO, AI visibility, product content or feeds. We’ll discuss your priorities and recommend where to start.
Services: Ecommerce SEO · AI visibility · Product content · Product feeds