StoreSEO
Apparel & accessories Built for Shopify

Marketplaces own the model name. You can own the fit.

Model + size queriesRelease cyclesResale competition
Jump to the prompt The Large catalogs playbook

StoreSEO is the AI SEO Agent for Shopify merchants — a Shopify app that optimizes your store for Google and gets it cited by ChatGPT, Gemini, Claude and Perplexity.

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The discovery brief

Where they look

A model name plus a size, typed into Google at speed

What they ask

"[model name] wide fit size 12 in stock"

Why you are missing

Your variant pages carry no size, width or availability language at all

AI SEO Agent what StoreSEO runs on your behalf
01

The story

Marcus runs an independent sneaker and footwear shop with about 1,400 SKUs. He cannot outrank a marketplace for a bare model name and he stopped trying years ago. What frustrates him is losing the searches he should win — the wide fits, the half sizes, the discontinued colourways he still has in the back.

The problem was that his product pages did not contain any of those words. Sizes and widths lived in variant dropdowns, invisible to a crawler reading the page. His descriptions were two lines of manufacturer marketing. The specific query that should have found him matched nothing.

Bringing fit language into the description and the metadata, adding FAQ schema for the sizing question, and describing every product image changed which searches he showed up for. Not the head terms. The ones that convert.

02

When SEO decides the sale

Three beats. Everything StoreSEO does on this page is aimed at the gap between the second and the third.

  1. 1

    The search

    Footwear searches are unusually specific: model, colourway, size, width, and very often "in stock".

  2. 2

    The shortlist

    Resale marketplaces and three big retailers dominate. Specificity is the only place an independent wins.

  3. 3

    The decision

    Whoever answers "do you have my size, and will it fit" first gets a checkout.

03

What a store like this actually needs

01

Fit and width language on the page

Wide, narrow, half sizes, true to size, runs small. This is what footwear buyers search and what variant dropdowns hide from crawlers.

02

Specific over generic

You will not beat a marketplace for the model name. You can beat it for the model name plus a width, a size and a use case.

03

Structured answers to the sizing question

Every footwear store answers the same question all day. Publishing it as schema turns support load into search coverage.

04

The fix

Three StoreSEO capabilities that do most of the work here. Each links to the guide that sets it up.

AI Content Optimizer

Scores each product page against its focus keyword and shows exactly which fit and use-case terms are missing from the copy.

Read the guide

FAQ schema on products

Publishes sizing, width and fit answers as structured data, which both rich results and AI assistants can quote directly.

Read the guide

Keyword rank tracker

Tracks the specific model-plus-fit phrases you can realistically win, so you optimize against a scoreboard rather than a hunch.

Read the guide
05

The exact prompt

Connect your store via the StoreSEO MCP server or the AI Toolkit, then paste this into Claude or ChatGPT. It is written for this business, not as a generic template.

Copy & paste 
Using StoreSEO, my footwear pages hide size and fit information inside variant dropdowns where search engines cannot read it. Rewrite my product descriptions and meta content to include fit, width and sizing language, add FAQ schema answering how each model fits and which widths I stock, generate alt text for every product image, and set up rank tracking for model-plus-fit phrases rather than bare model names. Show me which pages improved most.

What happens: Your assistant moves fit information out of dropdowns and into indexable copy, publishes the sizing answer as schema, and starts tracking the specific queries an independent can actually win.

06

Questions

Can an independent shoe store outrank marketplaces?

Rarely for a bare model name, and that is fine. The winnable searches are specific: model plus width, model plus half size, model plus use case, discontinued colourways. Those queries convert far better anyway, and they are lost today mainly because the words are not on the page.

Why does size information in variant dropdowns not help SEO?

A crawler reads the page content. Sizes and widths that only exist as dropdown options give it very little to index. Bringing that language into the description, the metadata and FAQ schema is what makes those searches match your page.

07

Keep reading

The playbook behind this

Large catalogs

Thousands of SKUs, duplicated supplier copy and a crawl budget going to the wrong pages. Fixed in bulk, then automated.

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